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.
$npx -y skills add dralkh/seerai --skill autoskillInstalls into the current project.
Run `npx skills use "https://github.com/dralkh/seerai" --skill "dralkh/seerai/autoskill"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/dralkh/seerai" that are relevant to the current task. Run `npx skills add "https://github.com/dralkh/seerai"` and select the relevant skills, then follow their instructions.