hivemind-goals
Create, track and update team goals via the Deeplake virtual filesystem at memory/goal/.
Skill by activeloopai
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: productivity, agent-building
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What's inside
- Skill 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.
- License
- Apache-2.0
- Allowed tools
- Bash
- Instructions
- 138 lines in SKILL.md · view on GitHub
Before installing
- Pre-approves any shell command
Files (1)
- SKILL.md
SKILL.md (first lines)
# 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` or `node -e 'console.log(crypto.randomUUID())'`. 3. Write the goal file at `~/.deeplake/memory/goal/<owner>/opened/<uuid>.md` with the goal description as body. 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". 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** 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** — short; it's what `goal list` and the SessionStart banner show. - Fill `Start here / Files / Branch / Run / Why` from the live conversation. Include only the lines you can fill; `Start here:` (the concrete first action) matters most. - Pass the whole package as **one double-quoted argument** (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`. If ambiguous, show the candidates and ask. 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 resumed — continue as if the context was never lost. ### 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 # Use Read + Edit (or Write) on the existing file. The VFS handles # version-bumping — every write produces a fresh row in the # hivemind_goals table. ``` ### 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.
From activeloopai/hivemind, Apache-2.0.
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Signals
- Stars
- 1,635
- Forks
- 112
- Open issues
- 73
- Last commit (this folder)
- Sep 17, 2026 (1 month ago)
- Last release
- Oct 24, 2026 (5 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/activeloopai/hivemind
- Website
- deeplake.ai/hivemind
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
hivemind-goals skill. Agent Mart. https://agentmart.dev/skills/activeloopai-hivemind-goals-02e64f (last updated 2026-10-24)