human-distill
SolidDistill a real person into a hireable coworker agent from their source material — chat exports, emails, meeting transcripts, documents, interviews, and live mirroring. Use when the operator wants to clone a colleague, build a coworker from someone's writing, onboard a digital twin, or asks to 'distill', 'clone', or 'mirror' a person. Consent-gated for real humans.
Install
Quality Score: 82/100
Skill Content
Details
- Author
- HybridAIOne
- Repository
- HybridAIOne/hybridclaw
- Created
- 6 months ago
- Last Updated
- today
- Language
- TypeScript
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
agent-studio
Evidence-gated workflow design and staffing for AI work. Determines how a job should be done, what stays in-house, and whether any part benefits from a persona specialist; if justified, runs a hiring process (job description, named candidate slate, interview, roster rehires) and hands a staffed workflow to Do-It. Also runs one-off persona panels for perspectives on a question, and re-engineers existing skills/workflows/panels. Use when the user wants a reliable way to accomplish an outcome, asks whether a specialist or agent would help, wants a persona designed, a panel/council built or run, N perspectives on X, or an existing skill/workflow/panel analyzed or improved. Triggers on "/agent-studio", "design how this work gets done", "construct/design a persona or agent", "build a panel/council of agents", "run an ensemble", "get N perspectives on X", "would a specialist help", "diagnose this skill/workflow", "where would agents help in X", "audit/harden this panel/ensemble".
distilly
Build and use evidence-grounded local person profiles with Distilly's exact five-tool workflow. Use when a user asks to research, ingest, distill, update, correct, retrieve, or recall a real or fictional person's profile, voice, boundaries, or evidence.
distill
Distill a knowledge source -- book, transcript, course, doc set, post series -- into the few agent skills it actually earns. Strict yield: most sources earn 0-3 skills and a digest; every unit must pass four gates (grounded, predictive, earned, behavioral) before it ships. Fires on two branches: the user wants a source turned into skills ("distill this book", "make skills from this course / transcript / doc set"); or they ask whether a source is worth distilling. Capturing a live session's workflow is skillize's job; a skill from scratch is skill-creator's. A summary, review, or reference wiki needs no skill -- write the deliverable directly.