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developing-with-streamlit

streamlit/agent-skills
3K installs 224 GitHub stars
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Create, style, debug, optimize, and deploy Streamlit apps and custom components.
Use for ALL Streamlit tasks: creating, editing, debugging, beautifying, styling, theming, optimizing, or deploying Streamlit apps. Also custom components, st.components.v2, HTML/JS/CSS work. Discovers and loads version-matched reference docs from the user's installed Streamlit (>=1.57). Triggers: streamlit, st., dashboard, app.py, beautify, style, CSS, color, background, theme, button, widget styling, custom component, st.components, CCv2, session state, performance, cache, fragment, slow rerun, deploy.

BEFORE YOU INSTALL

Understand the trade-offs.

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How clearly the skill guides your agent, how complete its workflow is, and how you can check the outcome.

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The full skill.

Original instructions from the publisher’s 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:

```bash
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.

Skill folder

Files included alongside SKILL.md in the publisher’s repository.