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Hivemind Goals

activeloopai/hivemind-openclaw-hivemind-goals

Create, track, and read team goals + KPIs via Hivemind from openclaw. 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.

921 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
1529
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/activeloopai/hivemind --skill hivemind-goals

The instruction itself

6 sections, as written by the author

Hivemind Goals (openclaw)

OpenClaw exposes purpose-built tools for goals + KPIs. Use them directly — do NOT try to write files via the host filesystem.

Tools

  • hivemind_goal_add({ text }) — create a new goal. Returns goal_id (UUID). Status starts at opened.
  • hivemind_kpi_add({ goal_id, kpi_id, target, unit, name? }) — add a KPI to an existing goal. Only call when the user explicitly asks for KPIs; do NOT auto-generate.
  • hivemind_search({ query }) — search Hivemind shared memory (summaries + sessions). Use this when the user asks "what's already there" before creating a duplicate.
  • hivemind_read({ path }) — read the full content of a specific Hivemind path.
  • hivemind_index({}) — list everything in memory.

Workflow when the user expresses a goal

  • (Optional) hivemind_search first to surface any existing related goal.
  • hivemind_goal_add({ text: "<short description>" }) — capture the returned goal_id.
  • ONLY if the user asks for KPIs: hivemind_kpi_add once per KPI with goal_id + kpi_id (short slug like k-prs) + target (positive int) + unit.
  • Confirm to the user with the goal_id and that the goal is team-visible.

Capture a task for later (with resumable context)

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" — store enough context to resume cold later, not just a one-liner. Put the full package in the text of hivemind_goal_add:

hivemind_goal_add({ text:
  "Add rate-limiting to the webhook handler\n\n" +
  "Start here: add a per-IP token bucket on the handler entry path\n" +
  "Files: src/webhook/handler.ts:120-160, src/webhook/limits.ts\n" +
  "Branch: feat/webhook-hardening\n" +
  "Run: pnpm test webhook\n" +
  "Why: bursty clients hammer the endpoint; defer until retry-backoff lands" })

Line 1 is the label. Fill Start here / Files / Branch / Run / Why from the conversation; Start here: (the concrete first action) matters most. (OpenClaw's hivemind_goal_add has no provenance flag, so the row is tagged manual — that's fine; the context is what matters.)

Resume a parked task (automatic context transfer)

When the user says "let's work on that task / goal" or "pick up the <X> task":

  • hivemind_search({ query: "<topic>" }) or hivemind_index({}) to locate the parked goal, then hivemind_read({ path: "memory/goal/<owner>/opened/<goal_id>.md" }) to pull the full context package back.
  • Read it as your working context and begin from Start here: using the Files / Branch / Run lines — continue as if the context was never lost.

(Status-move tools aren't exposed on OpenClaw, so leave the goal where it is and just resume the work.)

What NOT to do

  • Do NOT write files anywhere under ~/.deeplake/memory/. OpenClaw's runtime does not route filesystem writes to the Deeplake tables — only the hivemind_* tools above do.
  • Do NOT call hivemind_kpi_add unsolicited. Wait for the user to ask.
  • Do NOT use hivemind_search to *create* anything — it's read-only.

How to use it

Copy the folder

Take activeloopai/hivemind-openclaw-hivemind-goals from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.