# Streamlit Agent Skills Agent Skills > Developing with Streamlit - Skill: `tomevault-io/streamlit-agent-skills-agent-skills` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/streamlit-agent-skills-agent-skills` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/streamlit-agent-skills-agent-skills/raw - Safety review: pending (external: skill-scanner PASS, skillspector CAUTION) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: AI & ML - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/streamlit-agent-skills-agent-skills --- # 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 /scripts/discover.py --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. `` is the directory containing this file; `` 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. --- > Source: [streamlit/agent-skills](https://github.com/streamlit/agent-skills) — distributed by [TomeVault](https://tomevault.io).