Overview
autoskill is an open-source data skill for Claude Code and compatible agents, published by K-Dense-AI. Its author describes it as: “Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the pattern…”. The project has 46k stars on GitHub and is available under the MIT license. Add it to your setup with `git clone https://github.com/K-Dense-AI/scientific-agent-skills ~/.claude/skills/autoskill`.
What autoskill does
> **Requires a running screenpipe daemon.** This skill has no alternate data source — it reads exclusively from the local screenpipe HTTP API (default `http://localhost:3030`). If the daemon isn't running, `run()` raises `ScreenpipeUnreachable` with install instructions.
What’s inside
The SKILL.md for autoskill is organised into these sections:
- Overview
- When to Use This Skill
- Privacy Posture
- Prerequisites
- 1. Screenpipe daemon
- 2. Screenpipe API token
- 3. Python environment
- 4. Local LLM (default path) — LM Studio
- 5. Cloud LLM backends (optional, opt-in)
- Architecture
- Workflow
- 0. Preflight with doctor
Installation
Add autoskill to your agent with:
git clone https://github.com/K-Dense-AI/scientific-agent-skills ~/.claude/skills/autoskillReview a skill’s source before installing it — skills can instruct your agent to run commands. This command comes from the skill’s public repository, which is the source of truth for setup steps. New to skills? Read how to install Claude Code skills.
Supported agents
Neither the skill nor its repository names a specific agent. It uses the SKILL.md format, which several agents can load — check the repository for any agent-specific requirements.
License
autoskill is published under the MIT license.
Strengths
- Clear MIT license — safe to read and adapt within its terms
- Ships in K-Dense-AI/scientific-agent-skills, an established project with 45,887 GitHub stars
- Actively maintained — repository updated in the last 30 days
- Its repository gained 12,066 GitHub stars over the last 34 days
Author
Topics
Frequently asked questions
- What does autoskill do?
- Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.
- How do I install autoskill?
- Run git clone https://github.com/K-Dense-AI/scientific-agent-skills ~/.claude/skills/autoskill in your agent, then reload your skills. Review the source at https://github.com/K-Dense-AI/scientific-agent-skills before installing.
- Is autoskill free to use?
- Yes. autoskill is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
- Where does autoskill come from?
- autoskill ships inside K-Dense-AI/scientific-agent-skills, a repository that contains 42 catalogued skills in total. The repository's 45,887 GitHub stars apply to that whole collection, not to this skill on its own.