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.
npx skills add https://github.com/activeloopai/hivemind --skill hivemind-goals
OpenClaw exposes purpose-built tools for goals + KPIs. Use them directly — do NOT try to write files via the host filesystem.
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.hivemind_search first to surface any existing related goal.hivemind_goal_add({ text: "<short description>" }) — capture the returned goal_id.hivemind_kpi_add once per KPI with goal_id + kpi_id (short slug like k-prs) + target (positive int) + unit.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.)
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.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.)
~/.deeplake/memory/. OpenClaw's runtime does not route filesystem writes to the Deeplake tables — only the hivemind_* tools above do.hivemind_kpi_add unsolicited. Wait for the user to ask.hivemind_search to *create* anything — it's read-only.Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.
Generates creative domain name ideas for your project and checks availability across multiple TLDs (.com, .io, .dev, .ai, etc.). Saves hours of brainstorming and manual checking.
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool calls.
Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific observations yet. For formulating testable hypotheses from data use hypothesis-generation.
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
Take activeloopai/hivemind-openclaw-hivemind-goals from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
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.