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Agent skill

Hivemind Goals

by activeloopai in activeloopai/hivemind

Create, track and update team goals via the Deeplake virtual filesystem at memory/goal/.

Apache-2.0Auto-check: notesProduct & Project Management

Install Hivemind Goals

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

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install activeloopai/hivemind hivemind-goals --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/activeloopai/hivemind.git skills-src && mkdir -p .claude/skills && cp -r skills-src/harnesses/codex/skills/hivemind-goals .claude/skills/hivemind-goals && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
hivemind-goals
GitHub stars
1.6k
Token cost
~1.7k tokens
SKILL.md length
762 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
Apache-2.0

At a glance

Create, track and update team goals via the Deeplake virtual filesystem at memory/goal/.

  • Works in 6 steps: Create a new goal → List goals → Edit a goal description → …
  • The user mentions a goal
  • SKILL.md covers When to use this skill, Path conventions (LEARN THESE), File body format and Operations, plus 2 more sections
  • Calls node

What it does

Hivemind Goals is an agent skill from activeloopai/hivemind. 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.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Product & Project Management, covering Project management. The repository describes itself as: Hivemind turns your traces into reusable skills across agents. The licence is Apache-2.0.

When your agent uses it

  • The user mentions a goal
  • Asks to track progress on something measurable
  • The user says task
  • Any actionable work item — the goal system replaced the legacy hivemind tasks CLI and now covers both objectives and tasks

Example prompts

  • “work item”
  • “remind me to”
  • “/hivemind-goals”

Requirements

  • Pre-approved tools (allowed-tools): Bash

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Create a new goal
  2. List goals
  3. Edit a goal description
  4. Move a goal to in_progress
  5. Close a goal
  6. Reassign a goal (transfer ownership)

What it can do on your machine

Read from SKILL.md and the folder at commit e054fb1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • node

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Hivemind Goals loads about 1.7k tokens when it runs. Until then it costs about 109 tokens; SKILL.md has 762 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~109
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from activeloopai/hivemind at commit e054fb1, republished under its Apache-2.0 licence (© activeloopai). 762 words, ~1,695 tokens.

Download SKILL.mdSave it as .claude/skills/hivemind-goals/SKILL.md (or your agent's skills folder).
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
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 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.
Show full SKILL.md (338 more words)Show less
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.

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. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in harnesses/codex/skills/hivemind-goals of activeloopai/hivemind.

Open the folder on GitHubat commit e054fb1

Compare with similar skills

Hivemind Goals next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Hivemind Goals compared with similar skills
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Hivemind Goals this skillactiveloopai/hivemind1.6k—~1.7kAutomated safety check: NotesApache-2.0
Improve Retentionwondelai/skills2.4k—~3.8kAutomated safety check: PassMIT
Project Opsericrisco/rsc-harness156—~2.4kAutomated safety check: PassMIT
CCPM Project Managementautomazeio/ccpm8.4k—~1.1kAutomated safety check: PassMIT
Uvastral-sh/claude-code-plugins3142 repos~980Automated safety check: PassApache-2.0
Project Managementkunchenguid/firstmate7.6k—~2.1kAutomated safety check: PassMIT

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Categories

Questions about Hivemind Goals

What does Hivemind Goals do?

Create, track and update team goals via the Deeplake virtual filesystem at memory/goal/. Hivemind Goals is an agent skill from activeloopai/hivemind. Create, track and update team goals via the Deeplake virtual filesystem at memory/goal/.

When should I use Hivemind Goals?

Hivemind Goals fits situations like: the user mentions a goal; asks to track progress on something measurable; the user says task; any actionable work item — the goal system replaced the legacy hivemind tasks CLI and now covers both objectives and tasks.

How do I install Hivemind Goals in Claude Code?

Run `npx skills add activeloopai/hivemind --skill hivemind-goals -a claude-code`. Or copy the skill folder (harnesses/codex/skills/hivemind-goals in activeloopai/hivemind) into .claude/skills/hivemind-goals in your project. Claude Code loads it when a task matches its description.

How do I install Hivemind Goals in Codex?

Run `npx skills add activeloopai/hivemind --skill hivemind-goals -a codex`. Or copy the skill folder (harnesses/codex/skills/hivemind-goals in activeloopai/hivemind) into .agents/skills/hivemind-goals in your project. Codex loads it when a task matches its description.

Can I use Hivemind Goals in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add activeloopai/hivemind --skill hivemind-goals -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hivemind-goals, .gemini/skills/hivemind-goals, .github/skills/hivemind-goals and .opencode/skills/hivemind-goals in your project.

What does Hivemind Goals need to run?

Going by SKILL.md and its folder, Hivemind Goals needs the command-line tools its instructions call (node). Its frontmatter pre-approves these tools: Bash.

Does Hivemind Goals access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Hivemind Goals safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Hivemind Goals use?

Hivemind Goals is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Hivemind Goals use?

About 1.7k tokens (SKILL.md is roughly 6.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Hivemind Goals?

Skills that share tags, products or a category with Hivemind Goals: Improve Retention (wondelai/skills, 2.4k stars), Project Ops (ericrisco/rsc-harness, 156 stars), CCPM Project Management (automazeio/ccpm, 8.4k stars) and Uv (astral-sh/claude-code-plugins, 314 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hivemind Goals?

activeloopai (a GitHub organization) maintains it in activeloopai/hivemind, which has 1,622 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on September 28, 2026.

Source: activeloopai/hivemind on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.