mcpbeat

Hivemind Graph

activeloopai/hivemind-graph

Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/. Use when the user asks structural questions about the codebase — "what calls X?", "what does Y import?", "where is Z defined?", "what's the architecture / which subsystems exist?", "what's the impact of changing this?". The graph is an AST-derived map of the repo, queried as files (no build needed — it rebuilds automatically).

1k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
1529
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/activeloopai/hivemind --skill hivemind-graph

The instruction itself

6 sections, as written by the author

Hivemind Code Graph

A deterministic, AST-derived map of the current repository — every function,

class, method, interface, type, enum, const, and module, plus the edges between

them (calls, imports, extends, implements, method_of). It is queried as

synthesized files under the Deeplake mount; there are no real files on disk and

no network call in the read path.

The graph builds and refreshes automatically (on Stop / SessionEnd, gated by

a rate limit + git diff). You never run a build command — just read it.

Use it as a fast INDEX to locate the few files/symbols that matter, then open

them with Read to answer. It is not a substitute for the source.

When to use this skill

Activate when the user asks a *structural / relational* question about the code:

  • "What calls pushSnapshot?" / "Who uses this function?"
  • "What does deeplake-pull.ts import?" / "What depends on X?"
  • "Where is GraphSnapshot defined?" / "Find the function that handles Y."
  • "What are the main subsystems / the architecture here?"
  • "If I change this signature, what's affected?" → use impact/<symbol> (transitive blast radius)

When NOT to use this skill

  • Reading the body of a symbol you already located → use Read on the real

source file. The graph gives location + relationships, not full source.

  • Code that isn't committed/built yet — the graph can lag uncommitted edits.

If a file's mtime is newer than the build timestamp, read the live source.

  • Languages outside TypeScript, JavaScript, and Python (Go, Rust, …) — the

extractor covers those three, with cross-file calls/imports resolved for

named imports. For anything else, fall back to grep/read.

Path cheat sheet

cat ~/.deeplake/memory/graph/index.md
#   Overview: node/edge counts, kind breakdown, top files by node count.

cat ~/.deeplake/memory/graph/query/<pattern>   # START HERE (the 2-in-1)
#   Search + expand the top matches with their 1-hop neighbors (callers,
#   callees, imports, heritage). Multi-token AND: query/<a>+<b>.

cat ~/.deeplake/memory/graph/find/<pattern>
#   Case-insensitive substring search on node id + label (max 50 hits).
#   Prints numbered handles [1] [2] ... saved for this worktree.

cat ~/.deeplake/memory/graph/show/<handle-or-pattern>
#   <handle>: a digit from a prior find/ (e.g. 3).
#   <pattern>: a substring → unique node detail, or a candidate list.
#   Output: the node + its 1-hop neighbors grouped by edge relation.

cat ~/.deeplake/memory/graph/neighborhood/<file>
#   Every symbol in a file + its cross-file neighbors (callers/callees/imports).

cat ~/.deeplake/memory/graph/impact/<pattern>
#   Transitive dependents — the blast radius of changing a symbol.

cat ~/.deeplake/memory/graph/path/<from>/<to>
#   Shortest dependency path between two symbol patterns (trace a flow across files).

cat ~/.deeplake/memory/graph/layers      # architectural layers / subsystems
cat ~/.deeplake/memory/graph/tour        # deterministic guided walkthrough

Workflow

  • Broad? Start at index.md to see subsystems and the biggest files.
  • Looking for a symbol? find/<name> (or query/<name>) → pick the handle.
  • Want relationships? show/<handle> / neighborhood/<file> → callers/callees, imports.
  • Tracing a flow? path/<from>/<to>. Change impact? impact/<symbol>.
  • Need the actual code? Take the source_file:line and Read it — don't answer from the graph alone.

Anti-patterns (read these)

  • "Incoming (0)" does NOT mean dead code. Cross-file calls are resolved for

*named imports* (TS/JS/Python), but instance-method dispatch (obj.method()),

dynamic calls, and nested/inner functions are NOT — a zero-incoming symbol may

still be reached via one of those. Confirm in the source before calling it unused.

  • The graph can be stale. It rebuilds at most once per rate-limit window. The

SessionStart inject prints the build age; if it's old or you've just edited a

file, prefer the live source for that file.

  • Don't try to build it. There is no user-facing build step in normal use;

the hooks handle it. Just read the mount.

  • find/ is lexical, not semantic. It matches substrings, not meaning —

find/auth won't surface login/credentials unless those strings appear in

the id/label. Try multiple keywords if the first misses.

How to use it

Copy the folder

Take activeloopai/hivemind-graph from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.