Routing skill for all Streamlit development tasks: app creation, editing, debugging, styling, optimization, and deployment.
Run in your terminal
Routes to specialized sub-skills based on task type: performance optimization, dashboard building, design improvement, widget selection, theming, layouts, data display, multi-page apps, session state, chat UI, custom components, and Snowflake integration
Includes a workflow for locating Streamlit source files, identifying entry points ( streamlit_app.py , app.py ),
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondeveloping-with-streamlitExecute the skills CLI command in your project's root directory to begin installation:
Package manager
npx skills add https://github.com/streamlit/agent-skills --skill developing-with-streamlitFetches developing-with-streamlit from streamlit/agent-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 developing-with-streamlit. Access via /developing-with-streamlitin 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/streamlit/agent-skills --skill developing-with-streamlitWorks with
2
total installs
2
this week
150
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.
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Useful defaults in developing-with-streamlit — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added developing-with-streamlit from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for developing-with-streamlit matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: developing-with-streamlit is focused, and the summary matches what you get after install.
developing-with-streamlit reduced setup friction for our internal harness; good balance of opinion and flexibility.
developing-with-streamlit has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added developing-with-streamlit from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in developing-with-streamlit — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for developing-with-streamlit matched our evaluation — installs cleanly and behaves as described in the markdown.
We added developing-with-streamlit from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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