What problem does it solve? It turns scattered public materials—talks, interviews, articles, podcasts, and courses—about any person into a structured, AI-loadable Skill that captures how that person thinks, decides, and communicates, instead of leaving those insights buried in bookmarks. ## Core Features & Use Cases - Phased distillation workflow: Guides the AI through role selection, material collection, multi-dimensional extraction, evidence grading, and packaging into SKILL.md, personality.md, procedure.md, memory.md, and manifest.json files. - Public figure guardrails: Enforces rules that only public, traceable sources are used, with no impersonation, fabrication, or unauthorized private data. - Delegated engine architecture: Reuses the parent immortal-skill toolkit (kit/immortal_cli.py, personas/, recipes/) rather than duplicating the distillation engine. - Use Case: A user who has watched hundreds of hours of a founder's interviews can distill that person's public decision-making frameworks into a personal advisory Skill their AI agent can load on demand. ## Quick Start Clone the immortal-skill repository, set the working directory to the repo root, and ask the AI to read steamer-skill/SKILL.md and follow its phases to distill a chosen person using python3 kit/immortal_cli.py for collection.