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.
npx agentmarket install skill/activeloopai-hivemind-goals
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: productivity, agent-building, project-management, agent-memory
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/hivemind-goals
Tools it pre-approves 2
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
ReadBash
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
- Read, Bash
- Instructions
- 149 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` (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` 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 work is done. ### 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:
From activeloopai/hivemind, Apache-2.0.
More from activeloopai/hivemind
- 0.827score
hivemind-goals
activeloopai
Create, track and update team goals in Hivemind via the `hivemind` CLI.
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.827score
hivemind-graph
activeloopai
Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/.
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.827score
hivemind-graph
activeloopai
Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/.
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.824score
hivemind-memory
activeloopai
Global team and org memory powered by Activeloop.
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.819score
hivemind
activeloopai
Global team and org memory powered by Activeloop.
SkillAFreshness: A★ 1.6KClaude Code +9
Signals
- Stars
- 1,635
- Forks
- 112
- Open issues
- 73
- Last commit (this folder)
- Sep 17, 2026 (1 month ago)
- Last release
- Oct 24, 2026 (4 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
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
More from activeloopai
- 0.827score
hivemind-goals
activeloopai
Create, track and update team goals in Hivemind via the `hivemind` CLI.
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.827score
hivemind-graph
activeloopai
Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/.
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.827score
hivemind-graph
activeloopai
Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/.
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.824score
hivemind-memory
activeloopai
Global team and org memory powered by Activeloop.
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.819score
hivemind
activeloopai
Global team and org memory powered by Activeloop.
SkillAFreshness: A★ 1.6KClaude Code +9
Cite this page
hivemind-goals skill. Agent Mart. https://agentmart.dev/skills/activeloopai-hivemind-goals (last updated 2026-10-24)