Skills
The agent skills behind this site's tooling — what each one does, how it composes with the others, and which ones you can try live.
- concept-family-explorer
Gap-discovery layer above /dr — maps a subject's full conceptual family (parent, siblings, children, adjacent fields, frontier), scores what's missing, and researches every worthwhile gap to saturation.
- rabbithole
The narrow inverse of concept-family-explorer — takes one named concept and exhausts it completely, drilling down through mechanism, edge cases, and primary sources until a pass finds nothing new.
- /dr — deep-research
Multi-source deep research using firecrawl and exa, synthesizing findings into cited reports with inline attribution, confidence ratings, and explicit knowledge gaps.
- skill-tree-architect
Whole-tree architect for a skill library's hub-and-spoke taxonomy — audits description-cap headroom, hub balance, and cross-hub placement, then rebalances for a new family.
- full-suite
Exhaustively covers a subject end to end — maps the full concept family, researches every worthwhile gap to saturation, and compiles per-concept plus rollup llms-family files with keyword and semantic indexes.
- llms-concept-abstractor
Abstracts ONE concept out of any docset or document — a medical textbook's 'heart', 'indexing' across every database docset — into a source-anchored, deduped llms-family concept pack.
- llms-deep-optimizer
Audits and rewrites any llms.txt, llms-full.txt, llms-small.txt, or llms-facts.txt until it passes a measurable bar, inside a multi-pass convergence loop with live probes.
- notes-to-llms-txt
Turns disorganized notes — a scratch file, a run of meeting notes, a mixed-topic dump — into a well-formed llms.txt family, by segmenting, clustering by topic, and drafting a source-anchored entry per topic.