Jin Daily AI Trivia – Why Skills.md is more important than you think
Jin Daily AI Trivia – Why Skills.md is more important than you think
What’s the big deal? Wasn’t Skills is just markdown file?
-
Old world:
- Prompt stuffing: dump the whole “manual” into context and pray the model reads it.
- RAG: a one-size-fits-all hammer that keeps throwing chunks from your vector DB, relevant or not, and still expects the model to figure everything out.
- Tools: call web/search/APIs but you need a big-brained, expensive model to orchestrate them properly.
-
New world – Skills:
- Metadata loading: the model only sees a tiny “skill header” first – basically a name card saying “I’m the PDF skill, here’s what I can do.”
- Dynamic expansion: only when needed, the model pulls the exact markdown section it wants, not the whole 50-page doc.
- Embedded best practices: examples, scripts, and correct SDK usage are baked in, so the model doesn’t waste IQ points reinventing boilerplate.
Why it matters:
- Massive token diet: one PDF-generation workflow went from 2M tokens down to 300k, and ran in half the time.
- Small models, big moves: even a “dumber” model can perform like an expert because the skill already encodes the reasoning path.
- Neo moment: like installing “Kung Fu.exe” in The Matrix, a skill can instantly turns your LLM into a specialist for that domain.
