Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/.
$ npx skills add activeloopai/hivemind --skill hivemind-graph -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install activeloopai/hivemind hivemind-graph --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/activeloopai/hivemind.git skills-src && mkdir -p .claude/skills && cp -r skills-src/harnesses/codex/skills/hivemind-graph .claude/skills/hivemind-graph && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "hivemind-graph" agent skill from https://github.com/activeloopai/hivemind/tree/main/harnesses/codex/skills/hivemind-graph into .claude/skills/hivemind-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hivemind-graph", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/activeloopai/hivemind/tree/main/harnesses/codex/skills/hivemind-graphType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add activeloopai/hivemind --skill hivemind-graph -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install activeloopai/hivemind hivemind-graph --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/activeloopai/hivemind.git skills-src && mkdir -p .agents/skills && cp -r skills-src/harnesses/codex/skills/hivemind-graph .agents/skills/hivemind-graph && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hivemind-graph" agent skill from https://github.com/activeloopai/hivemind/tree/main/harnesses/codex/skills/hivemind-graph into .agents/skills/hivemind-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hivemind-graph", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add activeloopai/hivemind --skill hivemind-graph -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install activeloopai/hivemind hivemind-graph --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/activeloopai/hivemind.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/harnesses/codex/skills/hivemind-graph .cursor/skills/hivemind-graph && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "hivemind-graph" agent skill from https://github.com/activeloopai/hivemind/tree/main/harnesses/codex/skills/hivemind-graph into .cursor/skills/hivemind-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hivemind-graph", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/activeloopai/hivemind.git --path harnesses/codex/skills/hivemind-graph--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add activeloopai/hivemind --skill hivemind-graph -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install activeloopai/hivemind hivemind-graph --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/activeloopai/hivemind.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/harnesses/codex/skills/hivemind-graph .gemini/skills/hivemind-graph && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "hivemind-graph" agent skill from https://github.com/activeloopai/hivemind/tree/main/harnesses/codex/skills/hivemind-graph into .gemini/skills/hivemind-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hivemind-graph", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install activeloopai/hivemind hivemind-graphInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add activeloopai/hivemind --skill hivemind-graph -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/activeloopai/hivemind.git skills-src && mkdir -p .github/skills && cp -r skills-src/harnesses/codex/skills/hivemind-graph .github/skills/hivemind-graph && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "hivemind-graph" agent skill from https://github.com/activeloopai/hivemind/tree/main/harnesses/codex/skills/hivemind-graph into .github/skills/hivemind-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hivemind-graph", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add activeloopai/hivemind --skill hivemind-graph -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install activeloopai/hivemind hivemind-graph --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/activeloopai/hivemind.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/harnesses/codex/skills/hivemind-graph .opencode/skills/hivemind-graph && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "hivemind-graph" agent skill from https://github.com/activeloopai/hivemind/tree/main/harnesses/codex/skills/hivemind-graph into .opencode/skills/hivemind-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hivemind-graph", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
hivemind-graphQuery the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/.
Hivemind Graph is an agent skill from activeloopai/hivemind. 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 is the architecture / which subsystems exist?". The graph is an AST-derived map of the repo, queried as files (no build needed — it rebuilds automatically).
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering. The repository describes itself as: Hivemind turns your traces into reusable skills across agents. The licence is Apache-2.0.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit e054fb1. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
BashFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Hivemind Graph loads about 1.2k tokens when it runs. Until then it costs about 104 tokens; SKILL.md has 446 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: BashAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from activeloopai/hivemind at commit e054fb1, republished under its Apache-2.0 licence (© activeloopai). 446 words, ~1,208 tokens.
.claude/skills/hivemind-graph/SKILL.md (or your agent's skills folder).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.
Activate when the user asks a structural / relational question about the code:
pushSnapshot?" / "Who uses this function?"deeplake-pull.ts import?" / "What depends on X?"GraphSnapshot defined?" / "Find the function that handles Y."impact/<symbol> (transitive blast radius)Read on the real
source file. The graph gives location + relationships, not full source.calls/imports resolved for
named imports. For anything else, fall back to grep/read.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 walkthroughindex.md to see subsystems and the biggest files.find/<name> (or query/<name>) → pick the handle.show/<handle> / neighborhood/<file> → callers/callees, imports.path/<from>/<to>. Change impact? impact/<symbol>.source_file:line and Read it — don't answer from the graph alone.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.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.© activeloopai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in harnesses/codex/skills/hivemind-graph of activeloopai/hivemind.
Open the folder on GitHubat commit e054fb1
Hivemind Graph next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Hivemind Graph this skillactiveloopai/hivemind | 1.6k | — | ~1.2k | Automated safety check: Notes | Apache-2.0 | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 6 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| Peft Fine TuningOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.3k | Automated safety check: Pass | MIT | |
| 1passwordtrpc-group/trpc-agent-go | 1.8k | 13 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
pytorch/pytorch
Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.
Orchestra-Research/AI-Research-SKILLs
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods.
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
trpc-group/trpc-agent-go
Set up and use 1Password CLI (op). An agent skill from trpc-group/trpc-agent-go.
Orchestra-Research/AI-Research-SKILLs
Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects.
activeloopai/hivemind
Create, track and update team goals via the Deeplake virtual filesystem at memory/goal/.
activeloopai/hivemind
Create, track and update team goals in Hivemind via the hivemind CLI.
activeloopai/hivemind
Create, track, and read team goals via Hivemind from openclaw.
activeloopai/hivemind
Global team and org memory powered by Activeloop. An agent skill from activeloopai/hivemind.
activeloopai/hivemind
Global team and org memory powered by Activeloop. An agent skill from activeloopai/hivemind.
activeloopai/hivemind
Query the local AST-derived code graph (functions, classes, calls, imports) for structural codebase questions — what calls X, what does Y import, where is Z defined, blast radius of a change.
Categories
Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/. Hivemind Graph is an agent skill from activeloopai/hivemind. Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/.
Hivemind Graph fits situations like: the user asks structural questions about the codebase — what calls X?; what does Y import?; where is Z defined?; what is the architecture / which subsystems exist?.
Run `npx skills add activeloopai/hivemind --skill hivemind-graph -a claude-code`. Or copy the skill folder (harnesses/codex/skills/hivemind-graph in activeloopai/hivemind) into .claude/skills/hivemind-graph in your project. Claude Code loads it when a task matches its description.
Run `npx skills add activeloopai/hivemind --skill hivemind-graph -a codex`. Or copy the skill folder (harnesses/codex/skills/hivemind-graph in activeloopai/hivemind) into .agents/skills/hivemind-graph in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add activeloopai/hivemind --skill hivemind-graph -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hivemind-graph, .gemini/skills/hivemind-graph, .github/skills/hivemind-graph and .opencode/skills/hivemind-graph in your project.
SKILL.md names no scripts, command-line tools or credentials: Hivemind Graph is instructions for the agent only. Its frontmatter pre-approves these tools: Bash.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Hivemind Graph is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Hivemind Graph: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), Peft Fine Tuning (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
activeloopai (a GitHub organization) maintains it in activeloopai/hivemind, which has 1,622 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on September 28, 2026.
Source: activeloopai/hivemind on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.