What problem does it solve?
Researching a topic repeatedly across sessions wastes effort because findings have nowhere durable to land. This Skill turns a pro-workflow wiki into a self-growing knowledge base that fetches sources, drafts pages, dedupes claims, and queues follow-up topics automatically.
Core Features & Use Cases
- Autonomous BFS research loop: Pops seeds from a SQLite-backed queue, fetches sources via pluggable fetchers (web, arXiv, GitHub), compiles wiki pages, and enqueues follow-up seeds up to a depth cap.
- Budget and convergence controls: Halts on USD budget cap, max pages per run, max depth, three consecutive low-novelty pages, or a kill-switch file at ~/.pro-workflow/STOP.
- Privacy guard and FTS5 integration: Refuses non-local fetchers for private wikis and indexes every compiled page through the wiki store so it stays searchable.
- Use Case: Tell your agent to research "memory consolidation in agents" overnight; the loop seeds the queue, pulls arXiv abstracts and web results, writes cited wiki pages, and stops when the budget or convergence threshold is reached.
Quick Start
Ask your agent to research a topic by saying "research <topic>" or "grow the <slug> wiki", and the loop will fetch sources, draft pages, and expand the knowledge base within your budget.