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href=\"https://github.com/kyle-chalmers/streamsnow\"\u003EStreamSnow\u003C/a\u003E is a free, open-source (MIT) Claude Code plugin and Python CLI for building Streamlit in Snowflake apps with an AI coding agent. It was built and tested heavily in a production BI setting.\u003C/p\u003E\n","\u003Cp\u003EA coding agent can write a Streamlit app in minutes. The harder part is trusting what it wrote: which tables it reads, whether the numbers are right, and who deployed it. StreamSnow gives the agent a governed GitHub repository to work in. The repo holds the rules the agent reads, checks that run before anything merges, a runnable SQL file behind every metric, and a deploy that only GitHub Actions can run.\u003C/p\u003E\n","\u003Cp\u003EIn this guide you install StreamSnow, connect it to your Snowflake account, build a sales dashboard on the TPC-H sample data, check one of its numbers against your own SQL, and ship it to Snowflake through a pull request.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-governed-streamlit-apps-with-claude-code-and-streamsnow/streamsnow-skills-flow.png?v=2e715c67\" alt=\"How the StreamSnow skills fit together: /onboard once, then /build-app runs spec, discover, design, scaffold and build pages, with checkpoints for your approval, followed by preview, validate, review and ship, after which CI deploys the app to Snowflake.\"\u003E\u003C/p\u003E\n","\u003Cp\u003ETo watch the whole flow first, see the \u003Ca href=\"https://www.youtube.com/watch?v=73jOT3-TW8Y\"\u003EStreamSnow walkthrough on YouTube\u003C/a\u003E.\u003C/p\u003E\n","\u003Ch3\u003EPrerequisites\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EBasic SQL\u003C/li\u003E\u003Cli\u003EBasic familiarity with Git, GitHub pull requests and a terminal\u003C/li\u003E\u003Cli\u003EAccess to Snowsight as a Snowflake admin, or an admin who can run one setup script for you\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EWhat You'll Learn\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EHow to give an AI coding agent a governed repository for Streamlit in Snowflake apps\u003C/li\u003E\u003Cli\u003EHow a key-pair service user lets GitHub Actions deploy to Snowflake without a password\u003C/li\u003E\u003Cli\u003EHow to approve an agent's spec and wireframe before it writes code\u003C/li\u003E\u003Cli\u003EHow to trace a number on a dashboard back to runnable SQL\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EWhat You'll Need\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EA Snowflake account. This guide uses the container runtime, which runs on a compute pool and needs a paid account. On a \u003Ca href=\"https://signup.snowflake.com/\"\u003Efree trial\u003C/a\u003E, choose the warehouse runtime when asked.\u003C/li\u003E\u003Cli\u003EThe admin script is run once with the SYSADMIN, USERADMIN, SECURITYADMIN and ACCOUNTADMIN roles, by you or your Snowflake admin.\u003C/li\u003E\u003Cli\u003EA GitHub account, and the \u003Ca href=\"https://cli.github.com/\"\u003EGitHub CLI\u003C/a\u003E signed in with \u003Ccode\u003Egh auth login\u003C/code\u003E. The commands below create the repository.\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.anthropic.com/en/docs/claude-code/overview\"\u003EClaude Code\u003C/a\u003E.\u003C/li\u003E\u003Cli\u003EmacOS or Linux. On Windows, use WSL.\u003C/li\u003E\u003Cli\u003EPython 3.11+, \u003Ccode\u003Euv\u003C/code\u003E, \u003Ccode\u003Egit\u003C/code\u003E, the Snowflake CLI (\u003Ccode\u003Esnow\u003C/code\u003E) and \u003Ccode\u003Epre-commit\u003C/code\u003E. You don't need to install them first: setup checks for them and installs what is missing after you approve.\u003C/li\u003E\u003Cli\u003EOptional: Node.js 20+, so Claude can click through your app in a browser and screenshot each page.\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EWhat You'll Build\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EA governed GitHub repository for Streamlit in Snowflake apps, with checks on every pull request\u003C/li\u003E\u003Cli\u003EA key-pair CI user that deploys apps from GitHub Actions\u003C/li\u003E\u003Cli\u003EA multi-page sales dashboard on \u003Ccode\u003ESNOWFLAKE_SAMPLE_DATA.TPCH_SF1\u003C/code\u003E, running in Snowsight\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EInstall StreamSnow\u003C/h2\u003E\n","\u003Cp\u003ECreate a folder for your apps and make it a Git repository with a matching private GitHub repository:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Emkdir streamsnow-demo && cd streamsnow-demo\ngit init -b main\ngh repo create streamsnow-demo --private --source . --remote origin\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EInstall the plugin at project scope. Both commands record it in the repository's \u003Ccode\u003E.claude/settings.json\u003C/code\u003E, so teammates who clone the repo are offered the same plugin:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Eclaude plugin marketplace add --scope project kyle-chalmers/streamsnow\nclaude plugin install --scope project streamsnow@streamsnow\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EYou can also open Claude Code in the folder and paste this prompt, which runs the same steps and asks before installing anything:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-text\"\u003ERead the install prompt in github.com/kyle-chalmers/streamsnow and follow it.\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThe dashboard in this guide reads the TPC-H sample database. If your account has no \u003Ccode\u003ESNOWFLAKE_SAMPLE_DATA\u003C/code\u003E database, create it in Snowsight:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EUSE ROLE ACCOUNTADMIN;\nCREATE DATABASE SNOWFLAKE_SAMPLE_DATA FROM SHARE SFC_SAMPLES.SAMPLE_DATA;\nGRANT IMPORTED PRIVILEGES ON DATABASE SNOWFLAKE_SAMPLE_DATA TO ROLE PUBLIC;\n\u003C/code\u003E\u003C/pre\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ERun Onboarding\u003C/h2\u003E\n","\u003Cp\u003EOpen Claude Code in the folder and run:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E/onboard\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EIf \u003Ccode\u003E/onboard\u003C/code\u003E isn't listed, run \u003Ccode\u003E/reload-plugins\u003C/code\u003E first. Onboarding works in four stages and explains each step before it takes it.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\u003Cstrong\u003ECheck and prepare.\u003C/strong\u003E It installs the \u003Ccode\u003Estreamsnow\u003C/code\u003E CLI, runs \u003Ccode\u003Estreamsnow doctor\u003C/code\u003E, and lists the Snowflake access you already have, such as a \u003Ccode\u003Esnow\u003C/code\u003E connection. It reads your account with read-only \u003Ccode\u003ESHOW\u003C/code\u003E queries to suggest answers, then installs any missing tools after one approval.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EOne round of questions.\u003C/strong\u003E Each question comes with an explanation and a recommended answer. For this guide:\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003ESnowflake connection:\u003C/strong\u003E let onboarding set up your local \u003Ccode\u003Esnow\u003C/code\u003E connection, or guide you through it. You approve the sign-in in your browser.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ERuntime:\u003C/strong\u003E container (or warehouse on a trial account).\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ESources apps may read:\u003C/strong\u003E pick \u003Ccode\u003ESNOWFLAKE_SAMPLE_DATA.TPCH_SF1\u003C/code\u003E. In your own account, this is where you limit apps to curated reporting schemas.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EApp data schema:\u003C/strong\u003E keep the recommendation.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ESchemas apps may not query:\u003C/strong\u003E keep the raw and working layers on the deny list.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EDeploy source:\u003C/strong\u003E stage copy. GitHub Actions uploads the app code to an internal stage. The Snowflake Git repository option also works but needs an API integration and, for a private repository, a GitHub token.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EWho runs the admin script:\u003C/strong\u003E you, if you are the admin.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EViewer access:\u003C/strong\u003E the Snowflake roles that should open the apps.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ERemaining defaults:\u003C/strong\u003E onboarding lists the names it will use for the app database, warehouse, roles and integrations. Keep them to follow this guide.\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EBuild.\u003C/strong\u003E After you confirm, it writes \u003Ccode\u003Estreamsnow.config.yaml\u003C/code\u003E and the governed repository files: \u003Ccode\u003EAGENTS.md\u003C/code\u003E, \u003Ccode\u003ECLAUDE.md\u003C/code\u003E, pre-commit hooks, CI and deploy workflows, and a README.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EFinish.\u003C/strong\u003E It creates the CI key pair, writes the admin script to \u003Ccode\u003E.internal/admin-setup.sql\u003C/code\u003E, and, once the script has run, stores the deploy secrets in GitHub.\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EWhen onboarding has committed the governed files, push them so GitHub has a \u003Ccode\u003Emain\u003C/code\u003E branch for pull requests:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Egit push -u origin main\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Ccode\u003Estreamsnow.config.yaml\u003C/code\u003E is now the single source of truth for your setup. It names the app database, warehouse, roles, allowed sources and deny list, and it holds no secrets. Every check, the CI pipeline and the agent read it.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ERun the Admin Script\u003C/h2\u003E\n","\u003Cp\u003EOnboarding stops once for the admin script. It copies \u003Ccode\u003E.internal/admin-setup.sql\u003C/code\u003E to your clipboard. In Snowsight, open a new SQL worksheet, paste the script, choose \u003Cstrong\u003ERun All\u003C/strong\u003E, and tell Claude it ran. Claude never runs the admin script itself.\u003C/p\u003E\n","\u003Cp\u003EThe script is commented section by section. With the default names, it creates:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003Ethe \u003Ccode\u003ESTREAMSNOW_APPS\u003C/code\u003E database with a \u003Ccode\u003EDASHBOARDS\u003C/code\u003E schema for the apps, a \u003Ccode\u003ESTREAMSNOW_REPORTING\u003C/code\u003E schema for views built for them, and an auto-suspending X-Small warehouse, \u003Ccode\u003ESTREAMSNOW_WH\u003C/code\u003E\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003ESTREAMSNOW_DEPLOY_ROLE\u003C/code\u003E, which deploys and owns the apps and reads the allowed sources\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003ESTREAMSNOW_VIEWER_ROLE\u003C/code\u003E, which can open the apps, granted to you and to the roles you picked\u003C/li\u003E\u003Cli\u003Ea CI service user that signs in with a key pair and has no password\u003C/li\u003E\u003Cli\u003Efor the container runtime, a PyPI external access integration, with usage on it and on \u003Ccode\u003ESYSTEM_COMPUTE_POOL_CPU\u003C/code\u003E for the deploy role\u003C/li\u003E\u003Cli\u003Ethe stage the apps deploy from, created by the deploy role in the script's last section\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EIf someone else is your admin, onboarding writes a short note naming the file for you to forward. You can build and preview while you wait. Only deploys need the script.\u003C/p\u003E\n","\u003Cp\u003EThe CI key never passes through Claude. \u003Ccode\u003Estreamsnow ci-key create\u003C/code\u003E makes the key pair on your machine. The public half goes into the admin script, and \u003Ccode\u003Estreamsnow ci-key push\u003C/code\u003E hands the private half to a GitHub secret through the GitHub CLI. The plugin also blocks Claude's tools from opening the key folder.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-governed-streamlit-apps-with-claude-code-and-streamsnow/streamsnow-ci-key-flow.png?v=2e715c67\" alt=\"The CI key flow: streamsnow ci-key create makes a key pair on your machine. The public key goes into the admin script and onto the Snowflake CI user. The private key goes to a GitHub secret through streamsnow ci-key push. The deploy job signs in with it on merge. Claude sees file names and a fingerprint, never the key.\"\u003E\u003C/p\u003E\n","\u003Cp\u003ESave a copy of \u003Ccode\u003E~/.streamsnow-ci/streamsnow_ci_rsa_key.p8\u003C/code\u003E in your password manager. If it is lost, make a new pair and run the admin script again.\u003C/p\u003E\n","\u003Cp\u003EBefore it stores the secrets, onboarding offers to run \u003Ccode\u003Estreamsnow ci-key verify\u003C/code\u003E, which signs in from your machine as the CI user the way the deploy job does. At the end it offers to turn on GitHub's setting that deletes branches once their pull requests merge.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EBuild an App\u003C/h2\u003E\n","\u003Cp\u003EDescribe the dashboard you want:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E/build-app A sales dashboard on SNOWFLAKE_SAMPLE_DATA.TPCH_SF1: revenue by month and by region, with a market-segment filter\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Ccode\u003E/build-app\u003C/code\u003E starts with the spec. It asks a few questions about the data, each with a recommended answer and the reason for it.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-governed-streamlit-apps-with-claude-code-and-streamsnow/build-app-spec-question.png?v=2e715c67\" alt=\"The first spec question asks which date puts revenue into a month and year. Order date is recommended, so orders and revenue share one date.\"\u003E\u003C/p\u003E\n","\u003Cp\u003EIn the walkthrough the answers were: order date as the revenue date, all line items included, the top 10 part types, and an 1800-second cache, so the app re-queries Snowflake at most every 30 minutes.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003ECheckpoint 1\u003C/strong\u003E asks you to approve the spec, saved as \u003Ccode\u003EREQUIREMENTS.md\u003C/code\u003E, before any code is written:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-governed-streamlit-apps-with-claude-code-and-streamsnow/build-app-checkpoint-1.png?v=2e715c67\" alt=\"Checkpoint 1 summarizes the spec (four pages, TPCH_SF1 source, order-date revenue, top 10 part types, 1997 versus 1996 by default, an 1800-second cache, container runtime) and asks to approve or change it.\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThen a subagent profiles the data and another plans every page. \u003Cstrong\u003ECheckpoint 1b\u003C/strong\u003E shows a text wireframe for your approval. If you are unsure about a design choice, approve it here. You can change anything at the preview.\u003C/p\u003E\n","\u003Cp\u003EAfter that, \u003Ccode\u003E/build-app\u003C/code\u003E scaffolds the app and runs one builder subagent per page in parallel, followed by reviewers. This is the longest stage, about half an hour in the walkthrough, and it needs nothing from you.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-governed-streamlit-apps-with-claude-code-and-streamsnow/build-app-subagents.png?v=2e715c67\" alt=\"Claude Code builds the app. Background tasks on the right show page builders and re-checks completing, and the conversation on the left reports the governance checks passing.\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThe app lands in \u003Ccode\u003Eapps/<slug>/\u003C/code\u003E:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003Eapps/sales-performance/\n  streamlit_app.py      # navigation entrypoint and branding\n  pages/                # one file per page, plus shared filters and glossary\n  queries/              # the SQL behind each page\n  sql_review/           # runnable SQL that reproduces every metric\n  snowflake.yml  pyproject.toml\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EEvery app also gets an \u003Cstrong\u003EAbout this app\u003C/strong\u003E page, built from the app itself: purpose, metric definitions and data sources. The documentation lives inside the dashboard, so it stays current as the agent changes the app.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EPreview and Give Feedback\u003C/h2\u003E\n","\u003Cp\u003E\u003Ccode\u003E/build-app\u003C/code\u003E pauses at \u003Cstrong\u003ECheckpoint 2\u003C/strong\u003E with the app running locally against live Snowflake, at \u003Ccode\u003Ehttp://localhost:8501\u003C/code\u003E. This is your click-through.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-governed-streamlit-apps-with-claude-code-and-streamsnow/preview-overview.png?v=2e715c67\" alt=\"The local preview of the Overview page: revenue of $33.05B, 227.8k orders and a $145,092 average order value for 1997, each compared with a year earlier, above a monthly revenue chart.\"\u003E\u003C/p\u003E\n","\u003Cp\u003EClick through every page as your stakeholders would. Then send feedback in plain words:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E/build-app sales-performance --feedback "Fix the info icons on the Overview page, and add a page that ranks part type and region combinations by revenue gained versus last year"\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EStreamSnow sorts the feedback, builds the changes the same governed way with one commit per fix, and brings you back to the preview.\u003C/p\u003E\n","\u003Cp\u003E\u003Ccode\u003E/validate-app\u003C/code\u003E is the gate every app must pass before it ships: a pass or fail check of required files, schema references against your allowed sources and deny list, security, caching and the SQL review files. \u003Ccode\u003E/review-app <slug> --auto\u003C/code\u003E is advisory: a senior-style review by reviewers for SQL, data, UI, runtime and docs, which applies fixes and repeats until no new mechanical findings remain.\u003C/p\u003E\n","\u003Cp\u003EBrand settings you ask for, such as theme colors and fonts, go into \u003Ccode\u003Estreamsnow.config.yaml\u003C/code\u003E, so every future app in the repository starts with them.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ETie a Number Back to SQL\u003C/h2\u003E\n","\u003Cp\u003EEvery page has a runnable SQL file in \u003Ccode\u003Eapps/<slug>/sql_review/\u003C/code\u003E, with one section per metric in on-screen order. Open \u003Ccode\u003E01_overview.sql\u003C/code\u003E in Snowsight or any SQL editor and run the revenue section. It should return the number on the Overview page.\u003C/p\u003E\n","\u003Cp\u003EYou can also check the headline numbers with your own query:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT YEAR(o.O_ORDERDATE) AS order_year,\n       COUNT(DISTINCT o.O_ORDERKEY) AS orders,\n       ROUND(SUM(l.L_EXTENDEDPRICE * (1 - l.L_DISCOUNT)), 2) AS revenue,\n       ROUND(revenue / orders, 0) AS avg_order_value\nFROM SNOWFLAKE_SAMPLE_DATA.TPCH_SF1.ORDERS o\nJOIN SNOWFLAKE_SAMPLE_DATA.TPCH_SF1.LINEITEM l\n  ON l.L_ORDERKEY = o.O_ORDERKEY\nWHERE o.O_ORDERDATE >= '1996-01-01' AND o.O_ORDERDATE < '1998-01-01'\nGROUP BY order_year\nORDER BY order_year;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EFor 1997 you should see 227,783 orders and revenue of about $33.05 billion, an average order value of $145,092. Against 1996 ($33.28 billion), revenue fell 0.69 percent, the same change the dashboard shows. If your dashboard used different spec answers, such as ship date instead of order date, your numbers will differ by the same rule.\u003C/p\u003E\n","\u003Cp\u003EWhen a number doesn't match, the \u003Ccode\u003Esql_review\u003C/code\u003E file shows exactly which tables, filters and joins the app used. For a deeper check, \u003Ccode\u003E/sql-review <slug>\u003C/code\u003E runs every section against live Snowflake as aggregates and writes a review log for a person to sign. Skip it when a change touches no metrics.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EShip the App\u003C/h2\u003E\n","\u003Cp\u003EWhen you are happy with the preview, run this. It is \u003Cstrong\u003ECheckpoint 3\u003C/strong\u003E, and only you start it:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E/ship-app sales-performance\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Ccode\u003E/ship-app\u003C/code\u003E runs the validation again, offers to review any changes made since the last review, opens a pull request and gives you the app link.\u003C/p\u003E\n","\u003Cp\u003EThe pull request runs the same checks in GitHub Actions. When you merge it, the deploy workflow signs in as the CI user, uploads the app to the stage and creates the Streamlit app. Nothing else deploys.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-governed-streamlit-apps-with-claude-code-and-streamsnow/ship-app-ci-deploy.png?v=2e715c67\" alt=\"The GitHub Actions deploy job for the merged pull request: every step passed, and the stage-copy step lists the files shipped to the StreamSnow code stage.\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThe app appears in the Streamlit apps list in Snowsight, under \u003Ccode\u003ESTREAMSNOW_APPS.DASHBOARDS\u003C/code\u003E and owned by \u003Ccode\u003ESTREAMSNOW_DEPLOY_ROLE\u003C/code\u003E. \u003Ccode\u003Estreamsnow app-url sales-performance\u003C/code\u003E prints its Snowsight link.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-governed-streamlit-apps-with-claude-code-and-streamsnow/live-app-in-snowsight.png?v=2e715c67\" alt=\"The deployed app in Snowsight, showing the same Overview numbers as the local preview.\"\u003E\u003C/p\u003E\n","\u003Cp\u003ETo give a colleague access, grant them the viewer role. They sign in to Snowsight with their own Snowflake login and open the app.\u003C/p\u003E\n","\u003Cp\u003ETeammates who join later clone the repository, accept the plugin when Claude Code offers it, and run \u003Ccode\u003E/onboard\u003C/code\u003E. It sees the existing setup and only prepares their machine.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EKnow the Limits\u003C/h2\u003E\n","\u003Cp\u003EStreamSnow fits metrics you know you want and many people will open the same way, the job a traditional BI dashboard does. A few limits come with that.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003ECompute cost.\u003C/strong\u003E Apps use Snowflake credits: the warehouse for queries and, on the container runtime, the compute pool. \u003Ccode\u003ESYSTEM_COMPUTE_POOL_CPU\u003C/code\u003E packs three apps per node, and a container app's server stops after three days without viewers. A longer cache means fewer queries, and a frequently refreshed app costs more. See \u003Ca href=\"https://docs.snowflake.com/en/developer-guide/streamlit/object-management/billing\"\u003EStreamlit in Snowflake billing\u003C/a\u003E and compare it with the per-user licenses of your current BI tool.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EViewers need Snowflake logins.\u003C/strong\u003E Apps are for people inside your organization who can sign in to Snowsight. Dashboards for people without Snowflake logins need customization beyond what StreamSnow sets up.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EQueries run as the app's owner.\u003C/strong\u003E Apps run with \u003Ca href=\"https://docs.snowflake.com/en/developer-guide/streamlit/object-management/owners-rights\"\u003Eowner's rights\u003C/a\u003E: queries run as the deploy role that owns the app, not the viewer's role, and viewers need only usage on the app. Masking and \u003Ca href=\"https://docs.snowflake.com/en/user-guide/security-row-intro\"\u003Erow access policies\u003C/a\u003E on the underlying data need Enterprise Edition or higher. StreamSnow's own guardrails are static checks and work on any edition.\u003C/p\u003E\n","\u003Cp\u003EStreamSnow builds and governs apps. It does not schedule data pipelines or replace a data catalog.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EClean Up\u003C/h2\u003E\n","\u003Cp\u003EStreamSnow prints a teardown script for the objects the admin script created. It never runs it for you:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Estreamsnow deploy-setup --teardown > teardown.sql\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EReview every line, then run it in Snowsight as ACCOUNTADMIN. It drops the app database with every deployed app in it, the warehouse, the CI user, both roles and the PyPI integration, and it keeps your source databases and \u003Ccode\u003ESYSTEM_COMPUTE_POOL_CPU\u003C/code\u003E. If any of those objects existed before StreamSnow and other work uses them, delete their lines first.\u003C/p\u003E\n","\u003Cp\u003EThen delete the local key folder and, if you made it only for this guide, the GitHub repository:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Erm -rf ~/.streamsnow-ci\ngh auth refresh -s delete_repo\ngh repo delete streamsnow-demo\n\u003C/code\u003E\u003C/pre\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EConclusion And Resources\u003C/h2\u003E\n","\u003Cp\u003EYou set up a governed repository for Streamlit in Snowflake apps, connected GitHub Actions to Snowflake with a key-pair CI user, had Claude Code build a dashboard behind four human checkpoints, tied its revenue number back to SQL, and shipped it through a pull request. The same repository holds every future app your team builds, under the same rules.\u003C/p\u003E\n","\u003Cp\u003EStreamSnow is free and MIT licensed. Issues, discussions and pull requests are welcome in the repository.\u003C/p\u003E\n","\u003Ch3\u003EWhat You Learned\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EHow to install StreamSnow and run \u003Ccode\u003E/onboard\u003C/code\u003E to set up a governed repository\u003C/li\u003E\u003Cli\u003EHow a key-pair service user lets CI deploy without exposing the key to the agent\u003C/li\u003E\u003Cli\u003EHow to approve an agent's spec, wireframe and preview before anything ships\u003C/li\u003E\u003Cli\u003EHow to trace a dashboard number back to runnable SQL\u003C/li\u003E\u003Cli\u003EWhat Streamlit in Snowflake apps cost and who can open them\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003ERelated Resources\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://github.com/kyle-chalmers/streamsnow\"\u003EStreamSnow on GitHub\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://www.youtube.com/watch?v=73jOT3-TW8Y\"\u003EStreamSnow walkthrough video\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://github.com/kyle-chalmers/streamsnow/blob/main/docs/getting-started.md\"\u003EStreamSnow getting started\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/developer-guide/streamlit/about-streamlit\"\u003EAbout Streamlit in Snowflake\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/developer-guide/streamlit/app-development/runtime-environments\"\u003EStreamlit in Snowflake runtime environments\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/developer-guide/streamlit/object-management/billing\"\u003EStreamlit in Snowflake billing\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/developer-guide/streamlit/object-management/owners-rights\"\u003EOwner's rights in Streamlit in Snowflake\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/key-pair-auth\"\u003ESnowflake key-pair authentication\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E"],"title":"Build Governed Streamlit in Snowflake Apps with Claude Code and StreamSnow","isDeveloperGuidesPage":false,":items":{},":itemsOrder":[],"elementsOrder":["quickstartArticleBody","quickstartArticleLogoImage"],"elements":{"quickstartArticleBody":{"dataType":"string","title":"Quickstart Article Body","value":"\u003C!-- ------------------------ --\u003E\n## Overview\n\n[StreamSnow](https://github.com/kyle-chalmers/streamsnow) is a free, open-source (MIT) Claude Code plugin and Python CLI for building Streamlit in Snowflake apps with an AI coding agent. It was built and tested heavily in a production BI setting.\n\nA coding agent can write a Streamlit app in minutes. The harder part is trusting what it wrote: which tables it reads, whether the numbers are right, and who deployed it. StreamSnow gives the agent a governed GitHub repository to work in. The repo holds the rules the agent reads, checks that run before anything merges, a runnable SQL file behind every metric, and a deploy that only GitHub Actions can run.\n\nIn this guide you install StreamSnow, connect it to your Snowflake account, build a sales dashboard on the TPC-H sample data, check one of its numbers against your own SQL, and ship it to Snowflake through a pull request.\n\n![How the StreamSnow skills fit together: /onboard once, then /build-app runs spec, discover, design, scaffold and build pages, with checkpoints for your approval, followed by preview, validate, review and ship, after which CI deploys the app to Snowflake.](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-governed-streamlit-apps-with-claude-code-and-streamsnow/streamsnow-skills-flow.png?v=2e715c67)\n\nTo watch the whole flow first, see the [StreamSnow walkthrough on YouTube](https://www.youtube.com/watch?v=73jOT3-TW8Y).\n\n### Prerequisites\n- Basic SQL\n- Basic familiarity with Git, GitHub pull requests and a terminal\n- Access to Snowsight as a Snowflake admin, or an admin who can run one setup script for you\n\n### What You'll Learn\n- How to give an AI coding agent a governed repository for Streamlit in Snowflake apps\n- How a key-pair service user lets GitHub Actions deploy to Snowflake without a password\n- How to approve an agent's spec and wireframe before it writes code\n- How to trace a number on a dashboard back to runnable SQL\n\n### What You'll Need\n- A Snowflake account. This guide uses the container runtime, which runs on a compute pool and needs a paid account. On a [free trial](https://signup.snowflake.com/), choose the warehouse runtime when asked.\n- The admin script is run once with the SYSADMIN, USERADMIN, SECURITYADMIN and ACCOUNTADMIN roles, by you or your Snowflake admin.\n- A GitHub account, and the [GitHub CLI](https://cli.github.com/) signed in with `gh auth login`. The commands below create the repository.\n- [Claude Code](https://docs.anthropic.com/en/docs/claude-code/overview).\n- macOS or Linux. On Windows, use WSL.\n- Python 3.11+, `uv`, `git`, the Snowflake CLI (`snow`) and `pre-commit`. You don't need to install them first: setup checks for them and installs what is missing after you approve.\n- Optional: Node.js 20+, so Claude can click through your app in a browser and screenshot each page.\n\n### What You'll Build\n- A governed GitHub repository for Streamlit in Snowflake apps, with checks on every pull request\n- A key-pair CI user that deploys apps from GitHub Actions\n- A multi-page sales dashboard on `SNOWFLAKE_SAMPLE_DATA.TPCH_SF1`, running in Snowsight\n\n\u003C!-- ------------------------ --\u003E\n## Install StreamSnow\n\nCreate a folder for your apps and make it a Git repository with a matching private GitHub repository:\n\n```bash\nmkdir streamsnow-demo && cd streamsnow-demo\ngit init -b main\ngh repo create streamsnow-demo --private --source . --remote origin\n```\n\nInstall the plugin at project scope. Both commands record it in the repository's `.claude/settings.json`, so teammates who clone the repo are offered the same plugin:\n\n```bash\nclaude plugin marketplace add --scope project kyle-chalmers/streamsnow\nclaude plugin install --scope project streamsnow@streamsnow\n```\n\nYou can also open Claude Code in the folder and paste this prompt, which runs the same steps and asks before installing anything:\n\n```text\nRead the install prompt in github.com/kyle-chalmers/streamsnow and follow it.\n```\n\nThe dashboard in this guide reads the TPC-H sample database. If your account has no `SNOWFLAKE_SAMPLE_DATA` database, create it in Snowsight:\n\n```sql\nUSE ROLE ACCOUNTADMIN;\nCREATE DATABASE SNOWFLAKE_SAMPLE_DATA FROM SHARE SFC_SAMPLES.SAMPLE_DATA;\nGRANT IMPORTED PRIVILEGES ON DATABASE SNOWFLAKE_SAMPLE_DATA TO ROLE PUBLIC;\n```\n\n\u003C!-- ------------------------ --\u003E\n## Run Onboarding\n\nOpen Claude Code in the folder and run:\n\n```\n/onboard\n```\n\nIf `/onboard` isn't listed, run `/reload-plugins` first. Onboarding works in four stages and explains each step before it takes it.\n\n1. **Check and prepare.** It installs the `streamsnow` CLI, runs `streamsnow doctor`, and lists the Snowflake access you already have, such as a `snow` connection. It reads your account with read-only `SHOW` queries to suggest answers, then installs any missing tools after one approval.\n2. **One round of questions.** Each question comes with an explanation and a recommended answer. For this guide:\n   - **Snowflake connection:** let onboarding set up your local `snow` connection, or guide you through it. You approve the sign-in in your browser.\n   - **Runtime:** container (or warehouse on a trial account).\n   - **Sources apps may read:** pick `SNOWFLAKE_SAMPLE_DATA.TPCH_SF1`. In your own account, this is where you limit apps to curated reporting schemas.\n   - **App data schema:** keep the recommendation.\n   - **Schemas apps may not query:** keep the raw and working layers on the deny list.\n   - **Deploy source:** stage copy. GitHub Actions uploads the app code to an internal stage. The Snowflake Git repository option also works but needs an API integration and, for a private repository, a GitHub token.\n   - **Who runs the admin script:** you, if you are the admin.\n   - **Viewer access:** the Snowflake roles that should open the apps.\n   - **Remaining defaults:** onboarding lists the names it will use for the app database, warehouse, roles and integrations. Keep them to follow this guide.\n3. **Build.** After you confirm, it writes `streamsnow.config.yaml` and the governed repository files: `AGENTS.md`, `CLAUDE.md`, pre-commit hooks, CI and deploy workflows, and a README.\n4. **Finish.** It creates the CI key pair, writes the admin script to `.internal/admin-setup.sql`, and, once the script has run, stores the deploy secrets in GitHub.\n\nWhen onboarding has committed the governed files, push them so GitHub has a `main` branch for pull requests:\n\n```bash\ngit push -u origin main\n```\n\n`streamsnow.config.yaml` is now the single source of truth for your setup. It names the app database, warehouse, roles, allowed sources and deny list, and it holds no secrets. Every check, the CI pipeline and the agent read it.\n\n\u003C!-- ------------------------ --\u003E\n## Run the Admin Script\n\nOnboarding stops once for the admin script. It copies `.internal/admin-setup.sql` to your clipboard. In Snowsight, open a new SQL worksheet, paste the script, choose **Run All**, and tell Claude it ran. Claude never runs the admin script itself.\n\nThe script is commented section by section. With the default names, it creates:\n\n- the `STREAMSNOW_APPS` database with a `DASHBOARDS` schema for the apps, a `STREAMSNOW_REPORTING` schema for views built for them, and an auto-suspending X-Small warehouse, `STREAMSNOW_WH`\n- `STREAMSNOW_DEPLOY_ROLE`, which deploys and owns the apps and reads the allowed sources\n- `STREAMSNOW_VIEWER_ROLE`, which can open the apps, granted to you and to the roles you picked\n- a CI service user that signs in with a key pair and has no password\n- for the container runtime, a PyPI external access integration, with usage on it and on `SYSTEM_COMPUTE_POOL_CPU` for the deploy role\n- the stage the apps deploy from, created by the deploy role in the script's last section\n\nIf someone else is your admin, onboarding writes a short note naming the file for you to forward. You can build and preview while you wait. Only deploys need the script.\n\nThe CI key never passes through Claude. `streamsnow ci-key create` makes the key pair on your machine. The public half goes into the admin script, and `streamsnow ci-key push` hands the private half to a GitHub secret through the GitHub CLI. The plugin also blocks Claude's tools from opening the key folder.\n\n![The CI key flow: streamsnow ci-key create makes a key pair on your machine. The public key goes into the admin script and onto the Snowflake CI user. The private key goes to a GitHub secret through streamsnow ci-key push. The deploy job signs in with it on merge. Claude sees file names and a fingerprint, never the key.](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-governed-streamlit-apps-with-claude-code-and-streamsnow/streamsnow-ci-key-flow.png?v=2e715c67)\n\nSave a copy of `~/.streamsnow-ci/streamsnow_ci_rsa_key.p8` in your password manager. If it is lost, make a new pair and run the admin script again.\n\nBefore it stores the secrets, onboarding offers to run `streamsnow ci-key verify`, which signs in from your machine as the CI user the way the deploy job does. At the end it offers to turn on GitHub's setting that deletes branches once their pull requests merge.\n\n\u003C!-- ------------------------ --\u003E\n## Build an App\n\nDescribe the dashboard you want:\n\n```\n/build-app A sales dashboard on SNOWFLAKE_SAMPLE_DATA.TPCH_SF1: revenue by month and by region, with a market-segment filter\n```\n\n`/build-app` starts with the spec. It asks a few questions about the data, each with a recommended answer and the reason for it.\n\n![The first spec question asks which date puts revenue into a month and year. Order date is recommended, so orders and revenue share one date.](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-governed-streamlit-apps-with-claude-code-and-streamsnow/build-app-spec-question.png?v=2e715c67)\n\nIn the walkthrough the answers were: order date as the revenue date, all line items included, the top 10 part types, and an 1800-second cache, so the app re-queries Snowflake at most every 30 minutes.\n\n**Checkpoint 1** asks you to approve the spec, saved as `REQUIREMENTS.md`, before any code is written:\n\n![Checkpoint 1 summarizes the spec (four pages, TPCH_SF1 source, order-date revenue, top 10 part types, 1997 versus 1996 by default, an 1800-second cache, container runtime) and asks to approve or change it.](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-governed-streamlit-apps-with-claude-code-and-streamsnow/build-app-checkpoint-1.png?v=2e715c67)\n\nThen a subagent profiles the data and another plans every page. **Checkpoint 1b** shows a text wireframe for your approval. If you are unsure about a design choice, approve it here. You can change anything at the preview.\n\nAfter that, `/build-app` scaffolds the app and runs one builder subagent per page in parallel, followed by reviewers. This is the longest stage, about half an hour in the walkthrough, and it needs nothing from you.\n\n![Claude Code builds the app. Background tasks on the right show page builders and re-checks completing, and the conversation on the left reports the governance checks passing.](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-governed-streamlit-apps-with-claude-code-and-streamsnow/build-app-subagents.png?v=2e715c67)\n\nThe app lands in `apps/\u003Cslug\u003E/`:\n\n```\napps/sales-performance/\n  streamlit_app.py      # navigation entrypoint and branding\n  pages/                # one file per page, plus shared filters and glossary\n  queries/              # the SQL behind each page\n  sql_review/           # runnable SQL that reproduces every metric\n  snowflake.yml  pyproject.toml\n```\n\nEvery app also gets an **About this app** page, built from the app itself: purpose, metric definitions and data sources. The documentation lives inside the dashboard, so it stays current as the agent changes the app.\n\n\u003C!-- ------------------------ --\u003E\n## Preview and Give Feedback\n\n`/build-app` pauses at **Checkpoint 2** with the app running locally against live Snowflake, at `http://localhost:8501`. This is your click-through.\n\n![The local preview of the Overview page: revenue of $33.05B, 227.8k orders and a $145,092 average order value for 1997, each compared with a year earlier, above a monthly revenue chart.](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-governed-streamlit-apps-with-claude-code-and-streamsnow/preview-overview.png?v=2e715c67)\n\nClick through every page as your stakeholders would. Then send feedback in plain words:\n\n```\n/build-app sales-performance --feedback \"Fix the info icons on the Overview page, and add a page that ranks part type and region combinations by revenue gained versus last year\"\n```\n\nStreamSnow sorts the feedback, builds the changes the same governed way with one commit per fix, and brings you back to the preview.\n\n`/validate-app` is the gate every app must pass before it ships: a pass or fail check of required files, schema references against your allowed sources and deny list, security, caching and the SQL review files. `/review-app \u003Cslug\u003E --auto` is advisory: a senior-style review by reviewers for SQL, data, UI, runtime and docs, which applies fixes and repeats until no new mechanical findings remain.\n\nBrand settings you ask for, such as theme colors and fonts, go into `streamsnow.config.yaml`, so every future app in the repository starts with them.\n\n\u003C!-- ------------------------ --\u003E\n## Tie a Number Back to SQL\n\nEvery page has a runnable SQL file in `apps/\u003Cslug\u003E/sql_review/`, with one section per metric in on-screen order. Open `01_overview.sql` in Snowsight or any SQL editor and run the revenue section. It should return the number on the Overview page.\n\nYou can also check the headline numbers with your own query:\n\n```sql\nSELECT YEAR(o.O_ORDERDATE) AS order_year,\n       COUNT(DISTINCT o.O_ORDERKEY) AS orders,\n       ROUND(SUM(l.L_EXTENDEDPRICE * (1 - l.L_DISCOUNT)), 2) AS revenue,\n       ROUND(revenue / orders, 0) AS avg_order_value\nFROM SNOWFLAKE_SAMPLE_DATA.TPCH_SF1.ORDERS o\nJOIN SNOWFLAKE_SAMPLE_DATA.TPCH_SF1.LINEITEM l\n  ON l.L_ORDERKEY = o.O_ORDERKEY\nWHERE o.O_ORDERDATE \u003E= '1996-01-01' AND o.O_ORDERDATE \u003C '1998-01-01'\nGROUP BY order_year\nORDER BY order_year;\n```\n\nFor 1997 you should see 227,783 orders and revenue of about $33.05 billion, an average order value of $145,092. Against 1996 ($33.28 billion), revenue fell 0.69 percent, the same change the dashboard shows. If your dashboard used different spec answers, such as ship date instead of order date, your numbers will differ by the same rule.\n\nWhen a number doesn't match, the `sql_review` file shows exactly which tables, filters and joins the app used. For a deeper check, `/sql-review \u003Cslug\u003E` runs every section against live Snowflake as aggregates and writes a review log for a person to sign. Skip it when a change touches no metrics.\n\n\u003C!-- ------------------------ --\u003E\n## Ship the App\n\nWhen you are happy with the preview, run this. It is **Checkpoint 3**, and only you start it:\n\n```\n/ship-app sales-performance\n```\n\n`/ship-app` runs the validation again, offers to review any changes made since the last review, opens a pull request and gives you the app link.\n\nThe pull request runs the same checks in GitHub Actions. When you merge it, the deploy workflow signs in as the CI user, uploads the app to the stage and creates the Streamlit app. Nothing else deploys.\n\n![The GitHub Actions deploy job for the merged pull request: every step passed, and the stage-copy step lists the files shipped to the StreamSnow code stage.](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-governed-streamlit-apps-with-claude-code-and-streamsnow/ship-app-ci-deploy.png?v=2e715c67)\n\nThe app appears in the Streamlit apps list in Snowsight, under `STREAMSNOW_APPS.DASHBOARDS` and owned by `STREAMSNOW_DEPLOY_ROLE`. `streamsnow app-url sales-performance` prints its Snowsight link.\n\n![The deployed app in Snowsight, showing the same Overview numbers as the local preview.](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-governed-streamlit-apps-with-claude-code-and-streamsnow/live-app-in-snowsight.png?v=2e715c67)\n\nTo give a colleague access, grant them the viewer role. They sign in to Snowsight with their own Snowflake login and open the app.\n\nTeammates who join later clone the repository, accept the plugin when Claude Code offers it, and run `/onboard`. It sees the existing setup and only prepares their machine.\n\n\u003C!-- ------------------------ --\u003E\n## Know the Limits\n\nStreamSnow fits metrics you know you want and many people will open the same way, the job a traditional BI dashboard does. A few limits come with that.\n\n**Compute cost.** Apps use Snowflake credits: the warehouse for queries and, on the container runtime, the compute pool. `SYSTEM_COMPUTE_POOL_CPU` packs three apps per node, and a container app's server stops after three days without viewers. A longer cache means fewer queries, and a frequently refreshed app costs more. See [Streamlit in Snowflake billing](https://docs.snowflake.com/en/developer-guide/streamlit/object-management/billing) and compare it with the per-user licenses of your current BI tool.\n\n**Viewers need Snowflake logins.** Apps are for people inside your organization who can sign in to Snowsight. Dashboards for people without Snowflake logins need customization beyond what StreamSnow sets up.\n\n**Queries run as the app's owner.** Apps run with [owner's rights](https://docs.snowflake.com/en/developer-guide/streamlit/object-management/owners-rights): queries run as the deploy role that owns the app, not the viewer's role, and viewers need only usage on the app. Masking and [row access policies](https://docs.snowflake.com/en/user-guide/security-row-intro) on the underlying data need Enterprise Edition or higher. StreamSnow's own guardrails are static checks and work on any edition.\n\nStreamSnow builds and governs apps. It does not schedule data pipelines or replace a data catalog.\n\n\u003C!-- ------------------------ --\u003E\n## Clean Up\n\nStreamSnow prints a teardown script for the objects the admin script created. It never runs it for you:\n\n```bash\nstreamsnow deploy-setup --teardown \u003E teardown.sql\n```\n\nReview every line, then run it in Snowsight as ACCOUNTADMIN. It drops the app database with every deployed app in it, the warehouse, the CI user, both roles and the PyPI integration, and it keeps your source databases and `SYSTEM_COMPUTE_POOL_CPU`. If any of those objects existed before StreamSnow and other work uses them, delete their lines first.\n\nThen delete the local key folder and, if you made it only for this guide, the GitHub repository:\n\n```bash\nrm -rf ~/.streamsnow-ci\ngh auth refresh -s delete_repo\ngh repo delete streamsnow-demo\n```\n\n\u003C!-- ------------------------ --\u003E\n## Conclusion And Resources\n\nYou set up a governed repository for Streamlit in Snowflake apps, connected GitHub Actions to Snowflake with a key-pair CI user, had Claude Code build a dashboard behind four human checkpoints, tied its revenue number back to SQL, and shipped it through a pull request. The same repository holds every future app your team builds, under the same rules.\n\nStreamSnow is free and MIT licensed. Issues, discussions and pull requests are welcome in the repository.\n\n### What You Learned\n- How to install StreamSnow and run `/onboard` to set up a governed repository\n- How a key-pair service user lets CI deploy without exposing the key to the agent\n- How to approve an agent's spec, wireframe and preview before anything ships\n- How to trace a dashboard number back to runnable SQL\n- What Streamlit in Snowflake apps cost and who can open them\n\n### Related Resources\n- [StreamSnow on GitHub](https://github.com/kyle-chalmers/streamsnow)\n- [StreamSnow walkthrough video](https://www.youtube.com/watch?v=73jOT3-TW8Y)\n- [StreamSnow getting started](https://github.com/kyle-chalmers/streamsnow/blob/main/docs/getting-started.md)\n- [About Streamlit in Snowflake](https://docs.snowflake.com/en/developer-guide/streamlit/about-streamlit)\n- [Streamlit in Snowflake runtime environments](https://docs.snowflake.com/en/developer-guide/streamlit/app-development/runtime-environments)\n- [Streamlit in Snowflake billing](https://docs.snowflake.com/en/developer-guide/streamlit/object-management/billing)\n- [Owner's rights in Streamlit in Snowflake](https://docs.snowflake.com/en/developer-guide/streamlit/object-management/owners-rights)\n- [Snowflake key-pair authentication](https://docs.snowflake.com/en/user-guide/key-pair-auth)\n","multiValue":false,":type":"text/x-markdown"},"quickstartArticleLogoImage":{"dataType":"string","title":"Quickstart Article Logo Image","multiValue":false,":type":"text/plain"}},":type":"snowflake-site/components/contentfragment","model":"snowflake-site/models/quickstart-article"},"flexible_column_cont":{"id":"flexible-column-container-c5da0e9df5","type":"2-column-75-25","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"none","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-a344259c98",":items":{"quickstart_last_modi":{"id":"quickstart-last-modified-5f8df949d9","icon":{"id":"icon","icon":"calendar",":type":"snowflake-site/components/icon","appliedCssClassNames":"snowflake-icon-blue"},"lastModifiedDatePrefix":"Updated","lastModifiedDate":"2026-10-28",":type":"snowflake-site/components/quickstart/quickstart-last-modified","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"},"text":{"id":"text-d94f16cb07","additionalClasses":"qs-disclaimer-text","text":"\u003Cp\u003E\u003Cspan style=\"color: #666;\"\u003EThis content is provided as is, and is not maintained on an ongoing basis. 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