Agent skill

Hivemind Goals

by activeloopai in activeloopai/hivemind

Create, track and update team goals in Hivemind via the hivemind CLI.

Apache-2.0Auto-check passedProduct & 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/hermes/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
~814 tokens
SKILL.md length
329 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
Apache-2.0

At a glance

Create, track and update team goals in Hivemind via the hivemind CLI.

  • Works in 2 steps: hivemind goal add "" — capture stdout,… → Tell the user the goal_id and that it is…
  • The user mentions a goal
  • SKILL.md covers Commands (invoke via terminal…, Workflow when the user…, Capture a task for later (with… and Resume a parked task…, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Hivemind Goals is an agent skill from activeloopai/hivemind. Create, track and update team goals in Hivemind via the hivemind CLI. 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 810 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): terminal

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. hivemind goal add "" — capture stdout, that's the goal_id (UUID).
  2. Tell the user the goal_id and that it is now team-visible in Deeplake.

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:

    • terminal

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    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 814 tokens when it runs. Until then it costs about 104 tokens; SKILL.md has 329 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~104
When it runs · the whole SKILL.md, loaded when a task matches
~814

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 passed

The automated check found no risky patterns in SKILL.md.

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). 329 words, ~814 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 in Hivemind via the `hivemind` CLI. 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
terminal

Hivemind Goals — CLI only (Hermes)

⚠️ CRITICAL: On this runtime (Hermes), you MUST use the hivemind shell CLI for goals. DO NOT use write_file on ~/.deeplake/memory/goal/... paths — those writes go to the local filesystem and never reach the team-shared hivemind_goals table. Other team members will NOT see them.

The hivemind-memory skill describes a generic memory layout — it does NOT apply to goals. For goals, use the CLI below.

Commands (invoke via terminal tool)

hivemind goal add "<text>"                                  # create goal, prints goal_id
hivemind goal list [--mine|--all]                           # list (default --mine)
hivemind goal done <goal_id>                                # mark closed
hivemind goal progress <goal_id> <opened|in_progress|closed>

Workflow when the user expresses a goal

  1. hivemind goal add "<short description>" — capture stdout, that's the goal_id (UUID).
  2. Tell the user the goal_id and that it is now team-visible in Deeplake.

Capture a task for later (with resumable context)

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" — store enough context to resume cold later, not just a one-liner. Tag it --agent capture so parked side-tasks are separable 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; defer until retry-backoff lands"

Line 1 is the label (what goal list shows). Fill Start here / Files / Branch / Run / Why from the conversation; Start here: matters most. Pass the whole package as one double-quoted argument so the newlines are preserved.

Resume a parked task (automatic context transfer)

When the user says "let's work on that task / goal" or "pick up the <X> task":

  1. hivemind goal list --mine — match the user's reference to a goal_id.
  2. hivemind goal get <goal_id> — prints the full package (goal list shows only the first line, so always use goal get). Read it as your working context.
  3. hivemind goal progress <goal_id> in_progress — mark it started.
  4. Begin from Start here: using the Files / Branch / Run lines. Continue as if the context was never lost.

What NOT to do

  • Do NOT call write_file on any path under ~/.deeplake/memory/goal/.
  • Do NOT do mkdir / cat > to create those files manually via terminal.

If the user wants to inspect goals you created, run hivemind goal list --mine (terminal) and present the output.

© 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/hermes/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
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Hivemind Goals this skillactiveloopai/hivemind1.6k—~814Automated safety check: PassApache-2.0
Improve Retentionwondelai/skills2.4k—~3.8kAutomated safety check: PassMIT
Project Opsericrisco/rsc-harness167—~2.4kAutomated safety check: PassMIT
CCPM Project Managementautomazeio/ccpm8.4k—~1.1kAutomated safety check: PassMIT
Uvastral-sh/claude-code-plugins3132 repos~980Automated safety check: PassApache-2.0
Project Managementkunchenguid/firstmate7.7k—~2.1kAutomated safety check: PassMIT

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Questions about Hivemind Goals

What does Hivemind Goals do?

Create, track and update team goals in Hivemind via the hivemind CLI. Hivemind Goals is an agent skill from activeloopai/hivemind. Create, track and update team goals in Hivemind via the hivemind CLI.

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/hermes/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/hermes/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?

SKILL.md names no scripts, command-line tools or credentials: Hivemind Goals is instructions for the agent only. Its frontmatter pre-approves these tools: terminal.

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 no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. 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 814 tokens (SKILL.md is roughly 3.3k 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, 167 stars), CCPM Project Management (automazeio/ccpm, 8.4k stars) and Uv (astral-sh/claude-code-plugins, 313 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.