Mimeo is a Python CLI application that transforms a named expert's public body of work (essays, talks, interviews, podcasts, papers, etc.) into a structured, source-verified Agent Skill file (SKILL.md) and/or AGENTS.md, designed for AI coding agents to adopt the expert's reasoning style. The pipeline orchestrates identity resolution, source discovery via the Parallel API, content fetching (web, YouTube transcripts, optional audio transcription), LLM-based distillation and clustering (via OpenRouter), quote verification against source text, structured skill authoring, critique/refinement loops, and optional avatar generation. The output is a curated set of markdown files (principles, frameworks, mental models, anti-patterns, heuristics, quotes) organized per expert in the `output/` directory. The codebase is well-architected with async stages, a fingerprint-based caching layer, SSRF-safe HTTP helpers, prompt injection mitigations, and extensive offline tests using fake LLM/Parallel clients. While the primary purpose is the application tool, the generated output forms a reusable knowledge base of expert reasoning patterns, giving the repo a hybrid character.