跳到正文
FunCoding

搜索

搜索文档、Skill 和 MCP

hivemind

Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.

数据库与数据1.6kharnesses/openclaw/skills/SKILL.md

安装

把这段话发给 Claude Code、Codex 或 Cursor。智能体会先检查安全性,你确认后才安装。

读取 https://funcoding.ai/skills/activeloopai/hivemind/skills/install.md ,按里面的步骤帮我安装这个 Skill。

SKILL.md

Hivemind Memory

You have TWO memory sources. ALWAYS check BOTH when the user asks you to recall, remember, or look up ANY information:

  1. Your built-in memory — personal per-project notes from the host agent
  2. Hivemind global memory — global memory shared across all sessions, users, and agents in the org, accessed via the tools below

Memory Structure

/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 data
  1. First: call hivemind_index() — table of all sessions with dates, projects, descriptions
  2. If you need details: call hivemind_read("/summaries/<username>/<session>.md")
  3. If you need raw data: call hivemind_read("/sessions/<username>/<file>.jsonl")
  4. Keyword search: call hivemind_search("keyword") — substring search across both summaries and sessions, returns path:line hits

Do NOT jump straight to reading raw JSONL files. Always start with hivemind_index and summaries.

Organization Management

  • /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)

Skill Management (skillify)

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 state
  • hivemind skillify pull — sync skills for the current project from the org table
  • hivemind skillify pull --user <email> — only that author's skills
  • hivemind 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 disk
  • hivemind 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 table
  • hivemind skillify unpull — remove every skill previously installed by pull
  • hivemind skillify unpull --user <email> — remove only that author's pulls
  • hivemind skillify unpull --not-mine — remove all pulls except your own
  • hivemind skillify unpull --dry-run — preview without touching disk
  • hivemind skillify scope <me|team> — set sharing scope for new skills
  • hivemind skillify install <project|global> — default install location
  • hivemind skillify team add|remove|list <name> — manage team list

If 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.

Limits

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.

Getting Started

After installing the plugin:

  1. Run /hivemind_login to authenticate
  2. Run /hivemind_setup to enable the memory tools in your openclaw allowlist (one-time, per install)
  3. Start using memory — ask questions, the agent automatically captures and searches

Sharing memory

Multiple agents share memory when users are in the same Activeloop organization.

相似的 Skill

xlsx
anthropics/skills180k

xlsx

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

数据库与数据

deprecation-and-migration
addyosmani/agent-skills103k

deprecation-and-migration

Manages deprecation and migration. Use when removing old systems, APIs, or features. Use when migrating users from one implementation to another. Use when migrating a database schema in production, such as renaming or dropping a column without downtime (expand/contract). Use when deciding whether to maintain or sunset existing code.

数据库与数据

host-observer
thedotmack/claude-mem98k

host-observer

Use this when fulfilling claude-mem observer jobs on Grok Bot: reply only skip_summary or one full observation XML, never prose.

数据库与数据

babysit
thedotmack/claude-mem98k

babysit

Watch a pull request or review cycle until it is ready to merge. Use when asked to babysit, monitor, or keep checking PR comments, reviews, and CI until all actionable issues are resolved.

数据库与数据

mem-search
thedotmack/claude-mem98k

mem-search

Search claude-mem's persistent cross-session memory database. Use when user asks "did we already solve this?", "how did we do X last time?", or needs work from previous sessions.

数据库与数据

Agent Cost Report
thedotmack/claude-mem98k

Agent Cost Report

Believable agent cost report for any period, default the last 7 full days PT, not counting today. Measured tokens from Claude Code transcripts priced at OpenRouter list prices (ESTIMATED), measured provider spend when a sanctioned source exists, note-taker cost separate, Timing-style HTML/PDF plus report.json, line-items.csv, evidence.json.

数据库与数据