Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
Global team and org memory powered by Activeloop. An agent skill from activeloopai/hivemind.
$ npx skills add activeloopai/hivemind --skill hivemind -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install activeloopai/hivemind hivemind --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/openclaw/skills .claude/skills/hivemind && 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" agent skill from https://github.com/activeloopai/hivemind/tree/main/harnesses/openclaw/skills into .claude/skills/hivemind/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hivemind", 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/openclaw/skillsType 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 -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install activeloopai/hivemind hivemind --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/openclaw/skills .agents/skills/hivemind && 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" agent skill from https://github.com/activeloopai/hivemind/tree/main/harnesses/openclaw/skills into .agents/skills/hivemind/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hivemind", 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 -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install activeloopai/hivemind hivemind --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/openclaw/skills .cursor/skills/hivemind && 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" agent skill from https://github.com/activeloopai/hivemind/tree/main/harnesses/openclaw/skills into .cursor/skills/hivemind/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hivemind", 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/openclaw/skills--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 -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install activeloopai/hivemind hivemind --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/openclaw/skills .gemini/skills/hivemind && 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" agent skill from https://github.com/activeloopai/hivemind/tree/main/harnesses/openclaw/skills into .gemini/skills/hivemind/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hivemind", 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 hivemindInstalls 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 -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/openclaw/skills .github/skills/hivemind && 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" agent skill from https://github.com/activeloopai/hivemind/tree/main/harnesses/openclaw/skills into .github/skills/hivemind/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hivemind", 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 -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 --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/openclaw/skills .opencode/skills/hivemind && 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" agent skill from https://github.com/activeloopai/hivemind/tree/main/harnesses/openclaw/skills into .opencode/skills/hivemind/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hivemind", 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.
hivemindGlobal team and org memory powered by Activeloop. An agent skill from activeloopai/hivemind.
Hivemind is an agent skill from activeloopai/hivemind. Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.
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.
2 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:
hivemind_searchhivemind_readhivemind_indexFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
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 loads about 1.2k tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 565 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 found no risky patterns in SKILL.md.
Automated 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). 565 words, ~1,202 tokens.
.claude/skills/hivemind/SKILL.md (or your agent's skills folder).You have TWO memory sources. ALWAYS check BOTH when the user asks you to recall, remember, or look up ANY information:
/index.md ← START HERE — table of all sessions
/summaries/
<username>/
<session-id>.md ← AI-generated wiki summary per session
/sessions/
<username>/
<user_org_ws_slug>.jsonl ← raw session datahivemind_index() — table of all sessions with dates, projects, descriptionshivemind_read("/summaries/<username>/<session>.md")hivemind_read("/sessions/<username>/<file>.jsonl")hivemind_search("keyword") — substring search across both summaries and sessions, returns path:line hitsDo NOT jump straight to reading raw JSONL files. Always start with hivemind_index and summaries.
/hivemind_login — sign in via device flow/hivemind_capture — toggle capture on/off (off = no data sent)/hivemind_whoami — show current org and workspace/hivemind_orgs — list organizations/hivemind_switch_org <name-or-id> — switch organization/hivemind_workspaces — list workspaces/hivemind_switch_workspace <id> — switch workspace/hivemind_version — show installed version and check npm for updates/hivemind_update — shows how to install (ask the agent, or run hivemind update in your terminal)/hivemind_autoupdate [on|off] — toggle the agent-facing update nudge (on by default: when a newer version is available, the agent is prompted to install it via exec if you ask to update)Hivemind also mines reusable Claude skills from agent sessions and stores them in a per-org Deeplake table. Openclaw itself doesn't run sessions to mine, but you can pull skills others have already mined for the user. These run in the user's terminal (the openclaw plugin does not register them as /hivemind_* commands):
hivemind skillify — show scope/team/install + per-project statehivemind skillify pull — sync skills for the current project from the org tablehivemind skillify pull --user <email> — only that author's skillshivemind skillify pull --users a,b,c — multiple authors (CSV)hivemind skillify pull --all-users — explicit "no author filter"hivemind skillify pull --to project|global — install location (<cwd>/.claude/skills/ vs ~/.claude/skills/)hivemind skillify pull --dry-run — preview without touching diskhivemind skillify pull --force — overwrite local (creates .bak)hivemind skillify pull <skill-name> — pull only that one skill (combines with --user)hivemind skillify push <skill-name> — upload a local skill to the org table (inverse of pull; re-push lands a new version)hivemind skillify push --from project|global — which local skills dir to read (default: project)hivemind skillify push --dry-run — preview without writing to the org tablehivemind skillify unpull — remove every skill previously installed by pullhivemind skillify unpull --user <email> — remove only that author's pullshivemind skillify unpull --not-mine — remove all pulls except your ownhivemind skillify unpull --dry-run — preview without touching diskhivemind skillify scope <me|team> — set sharing scope for new skillshivemind skillify install <project|global> — default install locationhivemind skillify team add|remove|list <name> — manage team listIf the user asks to "pull skills from X", "share skills with the team", or similar, suggest the matching hivemind skillify command. Run hivemind skillify --help for the full reference.
Do NOT delegate to subagents when reading Hivemind memory. If a tool call returns empty after 2 attempts, skip it and move on. Report what you found rather than exhaustively retrying.
After installing the plugin:
/hivemind_login to authenticate/hivemind_setup to enable the memory tools in your openclaw allowlist (one-time, per install)Multiple agents share memory when users are in the same Activeloop organization.
© 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/openclaw/skills of activeloopai/hivemind.
Open the folder on GitHubat commit e054fb1
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in activeloopai/hivemind, which our catalogue first saw on October 7, 2026.
Hivemind 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 this skillactiveloopai/hivemind | 1.6k | 1 repos | ~1.2k | Automated safety check: Pass | 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
Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/.
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
Global team and org memory powered by Activeloop. An agent skill from activeloopai/hivemind. Hivemind is an agent skill from activeloopai/hivemind. Global team and org memory powered by Activeloop.
Hivemind fits situations like: AI & LLM Engineering work in your project.
Run `npx skills add activeloopai/hivemind --skill hivemind -a claude-code`. Or copy the skill folder (harnesses/openclaw/skills in activeloopai/hivemind) into .claude/skills/hivemind in your project. Claude Code loads it when a task matches its description.
Run `npx skills add activeloopai/hivemind --skill hivemind -a codex`. Or copy the skill folder (harnesses/openclaw/skills in activeloopai/hivemind) into .agents/skills/hivemind 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 -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, .gemini/skills/hivemind, .github/skills/hivemind and .opencode/skills/hivemind in your project.
SKILL.md names no scripts, command-line tools or credentials: Hivemind is instructions for the agent only. Its frontmatter pre-approves these tools: hivemind_search, hivemind_read, hivemind_index.
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 no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Hivemind 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: 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.