Build and deploy Streamlit apps natively in Snowflake with Snowpark integration and Marketplace publishing.
Run in your terminal
Supports two runtime options: Warehouse Runtime (personal instances, Anaconda packages) and Container Runtime (shared instances, PyPI packages, significantly lower cost)
Includes Snowpark session integration for native data access, multi-page app structure, and caller's rights connections (v1.53.0+) for per-user data isolation
Prevents 14 documented errors including package cha
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionstreamlit-snowflakeExecute the skills CLI command in your project's root directory to begin installation:
Package manager
npx skills add https://github.com/jezweb/claude-skills --skill streamlit-snowflakeFetches streamlit-snowflake from jezweb/claude-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate streamlit-snowflake. Access via /streamlit-snowflakein your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Package manager
npx skills add https://github.com/jezweb/claude-skills --skill streamlit-snowflakeWorks with
0
total installs
0
this week
697
GitHub stars
0
upvotes
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
jezweb/claude-skills
jezweb/claude-skills
jezweb/claude-skills
davila7/claude-code-templates
intellectronica/agent-skills
am-will/codex-skills
streamlit-snowflake is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added streamlit-snowflake from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for streamlit-snowflake matched our evaluation — installs cleanly and behaves as described in the markdown.
streamlit-snowflake fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
streamlit-snowflake has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: streamlit-snowflake is focused, and the summary matches what you get after install.
Useful defaults in streamlit-snowflake — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend streamlit-snowflake for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: streamlit-snowflake is focused, and the summary matches what you get after install.
streamlit-snowflake has been reliable in day-to-day use. Documentation quality is above average for community skills.
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