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hivemind-goals · activeloopai — Claude Code skill: goals and install

This skill stores team goals and tasks in Deeplake, tracks their state, and preserves parked work for later sessions. Use it for measurable work items.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add activeloopai/hivemind --skill hivemind-goals -a claude-code
Open on GitHub

What hivemind-goals does

hivemind-goals treats Markdown files in Deeplake’s virtual filesystem as the goal store. A path such as ~/.deeplake/memory/goal/<owner>/<status>/<goal_id>.md carries the owner, state, and UUIDv4; the file itself keeps the readable description and notes. When creating a goal, the skill gets the current user with hivemind whoami and writes the record through Bash.

A parked task can include a label plus resume details such as the first action, relevant files, branch, test command, and reason for deferring it. Later, hivemind goal list --mine finds the item, hivemind goal get <goal_id> restores its full context, and a move to in_progress marks it active. The path is authoritative, so metadata should not be repeated in the file body. In this setup, rm soft-closes a goal instead of hard-deleting it.

What it helps with

  • create a goal with notes and a due date
  • sort work items by lifecycle state
  • park a task with enough resume context
  • pick up deferred work in a later session
  • close or reassign a team goal

Example prompts for the agent

  • Create a goal to ship the reporting feature, add its due date, and note the checks it needs.
  • Remind me later to add rate limiting to the webhook handler and save enough context to resume it.
  • List my open goals, then start the parked task about the reporting feature.

How to install hivemind-goals

1Skills CLI (Vercel)

npx skills add activeloopai/hivemind --skill hivemind-goals -a claude-code

2Manually: put the files in place

~/.claude/skills/hivemind-goals/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/hivemind-goals/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about hivemind-goals

How do I install hivemind-goals in Claude Code?

Run npx skills add activeloopai/hivemind --skill hivemind-goals -a claude-code, then check ~/.claude/skills/hivemind-goals/SKILL.md.

What does hivemind-goals do?

It manages team goals and actionable tasks through Deeplake’s virtual filesystem. It can create, list, edit, move, close, and later resume stored work.

Where does hivemind-goals store a goal’s status?

The directory name supplies the state: opened, in_progress, or closed. Moving the file changes that state, while rm performs a soft close.

Source text

SKILL.md · Apache-2.0
---
name: hivemind-goals
description: Create, track and update team goals via the Deeplake virtual filesystem at memory/goal/. Use whenever the user mentions a goal, objective, 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
---

# Hivemind Goals

Track goals 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", "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
```

- `<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

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

## File body format

Goal file body — plain markdown, free form:
```
ship the goals-graph feature

Notes: route every write through the VFS, no separate CLI.
Due: 2026-05-30.
```

The first line is the human-readable label (what `goal list` and the SessionStart banner show). 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.

### 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:

```bash
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`

### 2. List goals

```bash
ls ~/.deeplake/memory/goal/<owner>/opened/
ls ~/.deeplake/memory/goal/<owner>/in_progress/
```

Then `cat` each `<uuid>.md` to read the body.

### 3. Edit a goal description

```bash
# 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

```bash
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:

```bash
# 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. Reassign a goal (transfer ownership)

```bash
mv ~/.deeplake/memory/goal/<old-owner>/<status>/<uuid>.md ~/.deeplake/memory/goal/<new-owner>/<status>/<uuid>.md
```

Goal ownership lives in the path; the file body carries over unchanged.

## Constraints — DO NOT do these

- Do NOT put `owner`, `status`, or `goal_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.

## Team visibility

Every write goes to a team-shared table on Deeplake (`hivemind_goals`). 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.

© activeloopai · Apache-2.0 · activeloopai/hivemind

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