Discover repeated research workflows from screen activity and draft new skill definitions.
npx skills add https://github.com/shushuzn/Rairos --skill autoskill-shushuzn
Please help me install this Agent Skill. Skill: autoskill Source: https://github.com/shushuzn/Rairos/tree/main/skills/autoskill Command: npx skills add https://github.com/shushuzn/Rairos --skill autoskill-shushuzn
You spend time repeating the same research workflow, but your skill library doesn’t reflect how you actually work, so you can’t automate those steps as reusable AI skills.
Ask the AI: "Analyze my last 4 hours of work and propose new skills I should add, using my existing screen activity patterns."
High-intent search queries and answers about installing and using this skill.
To discover repeated research workflows from observed screen activity, this skill uses the local screenpipe daemon to build a timeline of apps and windows, then clusters recurring workflow signatures locally to find patterns.
Yes, you need a local screenpipe HTTP API running on loopback at http://localhost:3030 to analyze screen activity patterns, and the skill refuses to run if the screenpipe daemon is unreachable.
Local LLM clustering matches workflows against an existing skill library by using local embedding similarity for top-k candidate selection, comparing clustered session signatures to synthesize reuse decisions or draft novel skills.
Yes, you can draft new AI skill definitions for uncovered workflow patterns automatically, as the skill synthesizes novel or composed SKILL.md drafts for workflows not yet covered by existing skills.
Yes, the workflow analysis tool redacts sensitive strings before making any LLM calls, ensuring private data from your screenpipe timeline is sanitized during skill gap discovery and drafting.
If the screenpipe daemon is unreachable when generating skills, the process refuses to run entirely, as it requires continuous access to the local screenpipe HTTP API on loopback to capture screen activity.
screenpipeQuery local Screenpipe OCR, audio, and UI event data with time filters.
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