hivemind-graph
Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/. Use when the user asks structural questions about…
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",
$ npx -y skills add activeloopai/hivemind --skill hivemind-goals --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/hivemind-goalsContext preview
The summary Claude sees to decide when to auto-load this skill.
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",
name: hivemind-goals description: 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. allowed-tools: Read Bash
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.
Activate when the user expresses any of:
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.
~/.deeplake/memory/goal/<owner>/<status>/<goal_id>.md ~/.deeplake/memory/kpi/<goal_id>/<kpi_id>.md
**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.
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.
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):
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.
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"
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 wor
Repo: activeloopai/hivemind
Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/. Use when the user asks structural questions about…
Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.
Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.