---
name: Hivemind Goals
slug: hivemind-goals-4
category: Automation
description: Hivemind Goals creates, tracks, and reads team goals and KPIs in Hivemind memory from OpenClaw. Use it when a user mentions a goal, objective, KPI, target, milestone, or any actionable task like a todo or reminder to save with resumable context.
github: "https://github.com/activeloopai/hivemind/tree/main/harnesses/openclaw/skills/hivemind-goals"
language: TypeScript
stars: 1561
forks: 101
install: "npx degit https://github.com/activeloopai/hivemind/tree/main/harnesses/openclaw/skills/hivemind-goals ~/.claude/skills/hivemind-goals"
installs_to: ~/.claude/skills/hivemind-goals
source_path: harnesses/openclaw/skills/hivemind-goals/SKILL.md
collection_size: 10
category_size: 1523
collection_url: "https://dirskills.com/collections/activeloopai/hivemind"
added: 2026-08-19T07:26:29.324Z
last_synced: 2026-08-19T07:26:29.324Z
canonical_url: "https://dirskills.com/skills/hivemind-goals-4"
---

# Hivemind Goals

Hivemind Goals creates, tracks, and reads team goals and KPIs in Hivemind memory from OpenClaw. Use it when a user mentions a goal, objective, KPI, target, milestone, or any actionable task like a todo or reminder to save with resumable context.

**Install:**

```bash
npx degit https://github.com/activeloopai/hivemind/tree/main/harnesses/openclaw/skills/hivemind-goals ~/.claude/skills/hivemind-goals
```

## README

# 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

1. (Optional) `hivemind_search` first to surface any existing related goal.
2. `hivemind_goal_add({ text: "<short description>" })` — capture the returned `goal_id`.
3. 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`.
4. 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":

1. `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.
2. 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.