graft
GitHub提供代码库索引与语义搜索工具,通过图谱节点定位代码、分析调用关系及文件结构,辅助理解架构、查找符号及范围编辑,提升上下文获取效率。
Trigger Scenarios
Install
npx skills add NanoNets/Graft --skill graft -g -y
SKILL.md
Frontmatter
{
"name": "graft",
"description": "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.
--sourceinlines 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--fullonly when the crux is too small to act on.--in <path>narrows to a subtree before ranking;-n Ncaps 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.
2 · graft grep "<pattern>": exhaustive find
Regex (or --fixed for a literal) over every indexed file, hits grouped by
enclosing symbol and ranked by coupling; it also reports files it couldn't read.
- Use it when you need every occurrence: all call sites, all uses of a
constant, all providers.
askis ranked top-N and will miss instances; grep won't. One grep replaces a spray of asks. - Search a short symbol name or literal, not a full guessed signature: an
over-specific regex (
func (s *Server) GenerateHandler) returns nothing even when the code is indexed. If a grep misses, loosen it (drop the receiver and signature, keep the bare name) and retrygraft grep— do NOT switch to rawgrep -rn, which is slower and unranked. -icase-insensitive;--in <path>scopes to a subtree. Rawgrep -rnis only for files graft genuinely doesn't index (docs, configs, brand-new files).
3 · graft skeleton <file>: a file's API at a glance
Signatures-only view of one file (every function / method / type with its span) in ~200 tokens, ~10x cheaper than reading the file.
- Use it when you need "what's in this file / what can I call here" before
editing or wiring into it. One skeleton is the whole answer for a file; don't
re-skeleton the same file, and don't skeleton every file
mapalready named.
4 · graft callers <symbol>: the exact edges
Precomputed call/reference edges, not a text search. Symbol can be bare
(Foo), qualified (Class.method), or package-qualified (pkg.Fn).
- default
--direction in: who calls/references this; run before you rename, delete, or change its signature. --direction out: what this symbol itself calls/depends on (the oldcallees).--depth N: walk transitively N hops for the full blast radius (the oldimpact);--depth 2is the usual "what breaks if I touch this".--depth all: the entire connected closure — every source reachable through the edges. Reach for this before a refactor, rename, or any multi-file change: it surfaces the sibling and downstream files (platform variants, a module you must split out) that a single-file edit would miss.
5 · graft map: orientation for an unfamiliar repo or area
A token-budgeted tour: directory clusters, per-directory hubs, and global hotspots, straight from the wiring graph.
- Use it when you land in a repo cold or are asked for "the architecture".
mapalone is the answer: read the hub cards it names; do NOT then skeleton or ask your way through every subsystem it lists.--max-dirs Nwidens it.
6 · Lifecycle: graft build / graft check
Every tool above refreshes the graph itself before answering, so what those tools
return always describes the code as it is right now — including edits you just made
and have not committed. You do not need to run build after editing.
One caveat, if you grep the markdown under graft/ directly: those cards are a
projection, rebuilt at the end of the turn rather than on each query, so after an edit
they can lag. The tools above never do — prefer them, and treat a card's spans as
stale if you have edited that file this turn.
build is for the LLM layer (--deep adds a concept map; skip unless asked);
check fails when graft/ is stale, for CI.
Scenarios: the shortest path through a coding task
| When you're… | Reach for | Calls |
|---|---|---|
| Onboarding / "explain this codebase" | graft map, then read the named hub cards |
1 |
| Understanding a flow ("how does X work") | graft ask "<flow>" --source |
1 |
| Finding where a change belongs | graft ask "where is <behavior>" --source |
1 |
| Editing a symbol you can already name | graft grep "<symbol>", edit at the file:line (skip ask — you know where it is) |
1 |
| Renaming / deleting / changing a signature | graft callers <sym> --depth 2 first |
1 |
| Refactor / multi-file change (before editing) | graft callers <sym> --depth all — map every connected file, don't stop at the first |
1 |
| "What does this depend on?" | graft callers <sym> --direction out |
1 |
| Finding every occurrence of a pattern | graft grep "<literal>" |
1 |
| "What's the API of this file?" | graft skeleton <file> |
1 |
| Debugging a failure in area X | graft ask "<symptom>" --source, then callers on the suspect |
1–2 |
| Judging a diff's risk before merge | graft callers <changed sym> --depth 2 |
1 / symbol |
| Working inside one repo of a monorepo | add --in <scope>/ to ask / grep / callers |
n/a |
In a multi-repo workspace, graft ranks fairly so the biggest repo can't drown
the rest, and every hit carries a [scope/] label naming its sub-project; when
you already know where you're working, narrow with graft ask "<task>" --in <scope>/.
Spend the fewest calls
- A node's
covers:list already gives exactfile:linefor every symbol, so cite straight from it. The spans are generated from source and authoritative; don't re-open or re-grep files to "double-check". - When the task already names the file or symbol to change, go straight there:
graft grep "<symbol>"for the exactfile:line, then edit. Reservegraft askfor when you don't yet know where the code lives — anaskround-trip is wasted on a target you can already name. - Trust the answer and act. Reach for a second tool only when the first genuinely fell short: weak hits, a truncated span, or a need to be exhaustive.
- If graft names a path that isn't on disk, its index is ahead of your checkout
(a branch switch or unpulled move). Don't read the missing file —
graft grepthe symbol to find where it lives now, or rungraft buildto refresh.
Report what graft saved, every turn
Each retrieval tool opens its output with a [graft] tokens saved ≈ N line:
the estimated tokens that call saved versus reading the files it covers whole.
Whenever you used any graft tool in a turn, close your reply with a one-line
tally summing those numbers across every graft call you made, e.g.
🌱 graft saved ~12,400 tokens this turn (3 calls). A call with no such line
(tiny files, where the pointers cost as much as the source) saved nothing, so
skip it. This is the per-turn figure; the statusline carries the running
session total.
Never pipe a graft command through head, tail, or sed -n. Every tool
is already capped and states what it dropped; clipping it costs you hits you
asked for, and it silently drops the savings line the statusline's running
total is parsed from.
When graft isn't enough
- Span truncated ("+N more lines"): open the file at that exact range.
- A node lacks a detail: ask a more specific question; only then read source at
the exact
file:line, never a whole file to rebuild understanding graft gives. - You may also grep / ls / cat inside
graft/directly (plain markdown;graft/INDEX.mdindexes the nodes), but the tools above are faster and exhaustive where it matters, so reach for them first.
When the graft MCP server is connected, these are exposed as tools too:
graft_find_code, graft_find_all, graft_file_api, graft_trace_calls (with
direction / depth), graft_repo_map, graft_check_freshness. Use whichever surface is
available; the guidance is identical.
Version History
- e74e9d7 Current 2026-08-12 20:51


