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hivemind-goals

@activeloopai · 收录于 1 周前 · 上游提交 2 天前

Create, track and update team goals + KPIs via the Deeplake virtual filesystem at memory/goal/ and memory/kpi/. Use whenever the user mentions a goal, objective, KPI, target, milestone, or asks to track progress on something measurable. ALSO use when the user says "task", "todo", "work item", "remind me to", "fix X", or any actionable work item — the goal system replaced the legacy `hivemind tasks` CLI and now covers both objectives and tasks.

适合你,如果需要管理团队目标、KPI和任务进度

/ 下载安装
hivemind-goals.skill双击,或拖进 Claude 桌面版 / Cowork,即完成安装↓ .skill↓ .zip
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
Claude Code~/.claude/skills/(项目级 .claude/skills/)
Codex CLI~/.codex/skills/
Cursor自动读取上面两处目录
其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同
/ 通过 npx 安装 校验哈希
npx oh-my-skill add activeloopai/hivemind/hivemind-goals
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- activeloopai/hivemind/hivemind-goals
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify activeloopai/hivemind/hivemind-goals
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

商店整理自技能原文 · 版本 9e3221c · 表述以原文为准
它做什么

安装后,Claude 可以创建、查看、更新团队目标和关键绩效指标(KPI),所有数据以 Markdown 文件形式存储在 Deeplake 虚拟文件系统中。它还能记录待办任务,并在后续会话中恢复上下文。

什么时候触发

当你提到目标、KPI、里程碑、任务、待办事项,或要求跟踪可衡量的进度时触发。也适用于你说“保存这个”、“提醒我”等需要暂存任务的情况。

装好后可以这样说
Claude 会生成一个 UUID 并写入目标文件。
Claude 会在对应目标下创建 KPI 文件。
Claude 会通过 CLI 捕获任务并附带上下文。
技能原文 SKILL.md作者撰写 · Apache-2.0 · 9e3221c

Hivemind Goals

Track goals and KPIs as Markdown files inside the Deeplake virtual filesystem. Each file is one row in a dedicated team-shared table — the path encodes the structural metadata, the file body holds the human-readable description.

When to use this skill

Activate when the user expresses any of:

  • "I want to track X / aim for X / track my progress on Y"
  • "add a goal", "add a KPI", "what are my goals?"
  • "mark this as done", "close that goal"
  • "shipping X by Friday", "5 PRs this week", any measurable target
  • "create a task", "add a todo", "remind me to fix X", any work item (the goals system absorbs the old hivemind tasks CLI — there is no separate task store)

For "list my goals" → run ls ~/.deeplake/memory/goal/<userName>/opened/ and ls ~/.deeplake/memory/goal/<userName>/in_progress/. If empty, ask the user if they want to create one.

Path conventions (LEARN THESE)
~/.deeplake/memory/goal/<owner>/<status>/<goal_id>.md
~/.deeplake/memory/kpi/<goal_id>/<kpi_id>.md
  • <owner> — user identifier (use the userName from hivemind whoami or the credentials)
  • <status> — one of opened, in_progress, closed
  • <goal_id> — UUIDv4 you generate at create time
  • <kpi_id> — short slug like k-prs or k-demos

Path encoding is the source of truth. The owner, status, goal_id, and kpi_id come from the path — NOT from the file body. Do NOT write owner/status/goal_id/kpi_id inside the file content.

File body format

Goal file body — plain markdown, free form:

ship the goals-graph feature

Notes: focus on KPI tracking via VFS, no separate CLI.
Due: 2026-05-30.

KPI file body — markdown with a few mandatory key:value lines so the commit-driven auto-progress worker can parse and bump:

PRs merged

- target: 5
- current: 2
- unit: count

The target:, current:, unit: lines must stay on a single line each. The first line is the human-readable name. Anything else is free notes.

Operations
1. Create a new goal

When the user expresses a new goal:

  1. Get the current owner with hivemind whoami (use the userName, e.g. emanuele.fenocchi).
  2. Generate a UUIDv4: uuidgen (do NOT use node -e — Node is not available under the VFS path).
  3. Write the goal file via Bash (Write / Edit are denied on memory paths; only Bash is intercepted and routed to SQL): ```bash cat > ~/.deeplake/memory/goal/<owner>/opened/<uuid>.md <<'EOF' <goal description here, multiple lines OK> EOF ``` For a single-line goal, echo '<text>' > ~/.deeplake/memory/goal/<owner>/opened/<uuid>.md is equivalent.
  4. Respond to the user that the goal is created.

Do NOT auto-generate KPIs. A goal is created with zero KPI files by default. Generate KPIs ONLY when the user explicitly asks you to ("aggiungi KPI per …", "add metrics for this goal", "track these metrics: …"). When the user asks, write each KPI as a separate file at ~/.deeplake/memory/kpi/<goal_id>/<kpi-slug>.md with the body format documented above.

1a. Capture a task for later (with resumable context)

Use this when the user parks a tangential task mid-session — "save this for later", "remind me to …", "don't let me forget …", "let's do X later", "capture this in Hivemind". The value is NOT the one-liner — it's storing enough context to resume cold in a future session without the user re-explaining anything.

Write it via the CLI (not the VFS heredoc) so the row is tagged agent: capture, which separates parked side-tasks from hand-made goals:

hivemind goal add --agent capture "Add rate-limiting to the webhook handler

Start here: add a per-IP token bucket on the handler entry path
Files: src/webhook/handler.ts:120-160, src/webhook/limits.ts
Branch: feat/webhook-hardening
Run: pnpm test webhook
Why: bursty clients hammer the endpoint; agreed to defer until the retry-backoff work lands"
  • Line 1 is the label — keep it short; it's what goal list and the SessionStart banner show.
  • Fill Start here / Files / Branch / Run / Why from the live conversation — you already know the files you just touched and the branch. Include only the lines you can fill; omit the rest. Start here: is the most important — the concrete first action.
  • Pass the whole package as one double-quoted argument (the newlines are preserved into the stored body).
  • Confirm to the user: the label + that it'll resume cleanly next session.
1b. Resume a parked task (automatic context transfer)

When the user says "let's work on that task / that goal", "let's start the <X> task", or "pick up the parked <X>", pull its stored context back into the session and continue — the user should NOT have to re-explain anything.

  1. Find it: hivemind goal list --mine and match the user's reference to a goal_id (by label / topic). If ambiguous, show the candidates and ask which one.
  2. Transfer the context: hivemind goal get <goal_id> prints the full package (Start here / Files / Branch / Run / Why). Read it as your working context — goal list only shows the first line, so always use goal get for the full body.
  3. Flip to in_progress: mv ~/.deeplake/memory/goal/<owner>/opened/<uuid>.md ~/.deeplake/memory/goal/<owner>/in_progress/<uuid>.md
  4. Act on it: open the Files:, switch to the Branch: if given, and begin from Start here:. You are now resumed — continue as if the context was never lost. Close it (section 5) when the work is done.
2. List goals
ls ~/.deeplake/memory/goal/<owner>/opened/
ls ~/.deeplake/memory/goal/<owner>/in_progress/

Then cat each <uuid>.md to read the body. Optionally ls ~/.deeplake/memory/kpi/<uuid>/ and cat each KPI to surface progress.

3. Edit a goal description
# Read the existing body, then overwrite via Bash heredoc. Edit / Write
# tools are denied on memory paths in claude-code (the hook can only
# rewrite Bash). The VFS handles version-bumping — every overwrite
# produces a fresh row in the hivemind_goals table.
cat ~/.deeplake/memory/goal/<owner>/opened/<uuid>.md   # read current
cat > ~/.deeplake/memory/goal/<owner>/opened/<uuid>.md <<'EOF'
<new body here>
EOF
4. Move a goal to in_progress
mv ~/.deeplake/memory/goal/<owner>/opened/<uuid>.md ~/.deeplake/memory/goal/<owner>/in_progress/<uuid>.md

mv between status folders is an atomic version-bump. The file body carries over unchanged.

5. Close a goal

Two equivalent ways:

# Explicit mv to closed (recommended — clearest intent)
mv ~/.deeplake/memory/goal/<owner>/in_progress/<uuid>.md ~/.deeplake/memory/goal/<owner>/closed/<uuid>.md

# Or: rm (the VFS interprets rm on a goal path as a soft-close)
rm ~/.deeplake/memory/goal/<owner>/opened/<uuid>.md

Important: rm does NOT actually delete the goal. It is a soft-close — the VFS writes a new version with status=closed. The goal remains in the team-shared table for audit. There is no hard-delete in v1.

6. Add a KPI manually
cat > ~/.deeplake/memory/kpi/<uuid>/<kpi-slug>.md <<'EOF'
<KPI name>

- target: <N>
- current: 0
- unit: <unit>
EOF
7. Record progress on a KPI

Read the KPI file, increment the current: line, write it back via Bash. The Edit tool is denied on memory paths — overwrite the full file via heredoc:

cat ~/.deeplake/memory/kpi/<uuid>/<kpi-slug>.md   # read current
cat > ~/.deeplake/memory/kpi/<uuid>/<kpi-slug>.md <<'EOF'
<KPI name>

- target: 5
- current: 3
- unit: count
EOF

A surgical sed -i 's/^- current: .*/- current: 3/' also works since sed is an allowed builtin under the VFS path.

8. Reassign a goal (transfer ownership)
mv ~/.deeplake/memory/goal/<old-owner>/<status>/<uuid>.md ~/.deeplake/memory/goal/<new-owner>/<status>/<uuid>.md

Goal ownership lives in the path. KPI files do NOT have an owner segment — they are linked to the goal by <uuid>, so they need no change when a goal is reassigned.

Constraints — DO NOT do these
  • Do NOT put owner, status, goal_id, or kpi_id inside the file body. The path is the source of truth — duplicating in the body causes drift.
  • Do NOT use status values other than opened, in_progress, closed.
  • Do NOT rename the goal_id (the UUID in the filename) via mv. The VFS rejects goal_id renames.
  • Do NOT block on the KPI generator subprocess — always spawn it detached (nohup … &).
Auto-progress from git commit

A PostToolUse hook listens for git commit. When it fires, it spawns the agent's native LLM in the background with the commit diff + the list of the current user's open goals. The LLM reads each goal + its KPIs, judges whether the commit advanced any KPI, and edits the relevant KPI file to bump current:. This is fire-and-forget; the user does not block on it.

To disable globally: HIVEMIND_AUTO_KPI_FROM_COMMITS=false.

Team visibility

Every write goes to a team-shared table on Deeplake (hivemind_goals or hivemind_kpis). Other team members see your goals in their SessionStart context and via direct ls / cat on the same paths in their own VFS. No explicit sharing step needed.

按 Apache-2.0 许可原样转载,未经改动 · 在 GitHub 查看 →

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