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autoskill

Analyzes user-requested Screenpipe history windows

by k-dense-aiFree

Launch
#1376in AI Skills
0In stores

Description

autoskill is an agent skill that analyses a window of your own workflow history and proposes new skills from it. It reads from a local scree…

Highlights

  • Analyses a chosen window of local workflow history
  • Clusters repeated research workflows
  • Matches patterns against existing skills
  • Stages draft skills for review
  • Only runs when you ask; needs a local daemon

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autoskill FAQ

What does autoskill do?

It looks at a time window of your workflow history from a local screenpipe daemon, finds repeated research workflows, and drafts new skills from them.

What does it need to run?

A running screenpipe daemon on your machine. If the daemon is not running, the skill stops and gives install instructions.

Does it send my data anywhere?

The local daemon is queried on loopback. An LLM backend is used for analysis: LM Studio by default, or Anthropic or a bring-your-own-key gateway if you opt in. Opt-in cloud backends get redacted summaries.

When should I use it?

Only when you explicitly ask, for example to analyse your last day or week and propose skills. It is not for real-time screen queries.

How do I install it?

Run npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill autoskill.

Is it checked for security?

Its security audits show passes from Gen Agent Trust Hub and Socket, and a warning from Snyk.

What are the best autoskill alternatives?

Popular alternatives to autoskill include process-optimization, coding-agent and gh-issues. See all autoskill alternatives

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