Skills

Graft Code Index

Looks up code context in the graft index before grepping for symbols or edit scope.

Install

npx skills add trailhq/Trail-Code --skill graft -g -a claude-code -y
Repository
trailhq/Trail-Code11k
Category
Engineering
Updated
3d ago
License
MIT
Context cost
Mediumabout 2,192 tokens
Runs scripts
No, instructions only

What it does

This repo is indexed by graft/. For ANY task here, whether understanding how something works, finding where code lives, tracing what calls a symbol or what a change breaks, or scoping an edit, get your context from graft before grepping or reading source files.

graft

graft/ holds a graph of this repo: small markdown nodes that each explain one part in prose and name the exact file:line spans they cover, plus a wiring graph of who-calls-what. Querying a node costs a few hundred tokens; rebuilding that understanding by reading source costs thousands, and misses the edges.

Every command below is $0, needs no API key, and returns in under a second. There are six of them. Pick the one that fits the task, run it, act on the answer; don't chain tools hoping for more. Most tasks need one call.

The tools

1 · graft ask "<question>" --source: locate + understand (the default)

Ranked retrieval over the graph, routed automatically between prose nodes and the wiring graph, returning the top hits with exact file:line.

  • --source inlines the code at each hit, the ≤8-line crux of each definition, so the result IS the code you need, no follow-up file read. Add --full only when the crux is too small to act on.
  • --in <path> narrows to a subtree before ranking; -n N caps results (default 8).
  • Use it when the question is conceptual or locational: "how does auth work", "where is rate-limiting handled", "what assembles the request pipeline".
  • One ask usually answers. A genuinely multi-part question needs one ask per distinct sub-aspect, never the same question reworded. Few or weak hits mean switch tool (grep / skeleton / callers), don't re-ask.
Read the whole SKILL.md on GitHub

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