The author uses a local LLM called pi that reads a global CAPABILITIES.md index in markdown, pointing to task-specific docs like SSHing into a studio Mac or driving a browser. Pi only loads detailed instructions when a task matches a capability, and new setups are documented and added to the index so agents grow more useful over time.

• A single symlinked AGENTS.md pointing to a CAPABILITIES.md index lets every project share one growing set of agent capabilities instead of duplicating setup per folder.
• Pi only loads detailed docs when a task matches one of the index's listed capabilities, keeping context small while still scaling to many tools.
• Adding a capability is just three steps (write the doc, add an index line, commit), so the library compounds over time as new setups get documented.
• The agent-docs repo is itself maintained almost entirely by AI, treating documentation upkeep as its own agent task.