关于
This skill provides automated AST-based code graph analysis for answering structural questions about your codebase, such as finding callers, imports, definitions, or change impact. The graph rebuilds automatically after each agent interaction using git diffs, requiring no manual build steps. Developers can query it using the hivemind_graph_search and hivemind_graph_neighborhood tools to understand dependencies and relationships.
快速安装
Claude Code
推荐npx skills add activeloopai/hivemind -a claude-code/plugin add https://github.com/activeloopai/hivemindgit clone https://github.com/activeloopai/hivemind.git ~/.claude/skills/hivemind-graph在 Claude Code 中复制并粘贴此命令以安装该技能
技能文档
Hivemind Code Graph (OpenClaw)
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).
The graph builds and refreshes automatically after each turn (gated by rate limit + git diff). You never run a build command — just call the graph tools.
Set plugins.entries.hivemind.config.tuning.HIVEMIND_GRAPH_CWD in
~/.openclaw/openclaw.json to the git root of the project you want indexed
when the gateway's working directory is not the repo (then restart the gateway).
Use the graph as a fast INDEX to locate the few files/symbols that matter, then use the host's read/exec tools on the real source. It is not a substitute for reading source files.
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.tsimport?" / "What depends on X?" - "Where is
GraphSnapshotdefined?" / "Find the function that handles Y." - "What are the main subsystems / the architecture here?"
- "If I change this signature, what's affected?"
Tools
hivemind_graph_search({ pattern })— search symbols by substring (or multi-token AND with+, e.g.auth+handler). Returns matches with 1-hop neighbors (callers, callees, imports). Start here.hivemind_graph_neighborhood({ file })— every symbol in a repo-relative file path plus its cross-file neighbors.
Workflow
- Broad structural question?
hivemind_graph_search({ pattern: "<symbol>" }). - Know the file?
hivemind_graph_neighborhood({ file: "src/hooks/capture.ts" }). - Need the actual code? Open the
source_file:linefrom the tool output with the host read tool — don't answer from the graph alone.
When NOT to use this skill
- Reading the body of a symbol you already located → use the host read tool.
- Code that isn't committed/built yet — the graph can lag uncommitted edits.
- Languages outside TypeScript, JavaScript, and Python — fall back to grep.
Anti-patterns
- Zero incoming callers does NOT mean dead code. Instance-method dispatch and dynamic calls are not fully resolved.
- The graph can be stale. Prefer live source for files edited in this session.
patternis lexical, not semantic — try multiple keywords if the first misses.
GitHub 仓库
常见问题
什么是 hivemind-graph Skill?
hivemind-graph 是一个 Claude Skill,作者为 activeloopai。Skill 将 Claude 按需加载的说明和资源打包,让 Claude 无需额外提示即可执行与 hivemind-graph 相关的任务。
如何安装 hivemind-graph?
使用本页的安装命令:将 hivemind-graph 作为插件添加到 Claude Code,或将其仓库克隆到 skills 目录,然后重启 Claude 以加载该 Skill。
hivemind-graph 属于哪个分类?
hivemind-graph 属于元分类。
hivemind-graph 可以免费使用吗?
可以。hivemind-graph 已收录在 AIMCP,可免费安装。
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