developing-with-streamlit

Routing skill for all Streamlit development tasks: app creation, editing, debugging, styling, optimization, and deployment. 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 ), and applying sub-skill guidance Provides templates for common dashboard patterns (metrics, companies, compute, stock peers) and pre-built themes (Snowflake, Dracula, Nord, Stripe, Solarized, Spotify, GitHub, minimal) Automatically detects running Streamlit apps and offers to start or refresh them after edits

INSTALLATION
npx skills add https://github.com/streamlit/agent-skills --skill developing-with-streamlit
Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

Developing with Streamlit

Streamlit (>=1.57) ships detailed reference documentation for building Streamlit apps inside its pip package. The bundled skill is a routing SKILL.md plus a references/ folder of topic-specific reference docs (dashboards, themes, layouts, session state, custom components, etc.).

Usage

Run the discovery script with the user's project directory:

python <SKILL_DIR>/scripts/discover.py --project-dir <USER_PROJECT_DIR>

The script prints either:

  • A path on stdout (exit 0) — the bundled SKILL.md. Read it; it points into references/.
  • **An ERROR: block on stderr** (non-zero exit). Follow the printed instructions and re-run.

<SKILL_DIR> is the directory containing this file; <USER_PROJECT_DIR> is the absolute path to the user's project. Passing --project-dir matters because the script resolves .venv, ../.venv, Pipfile, poetry.lock, pdm.lock, and uv.lock relative to it.

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