Creator · activeloopai
Last updated · Sep 3, 2026
Create, track and update team goals + KPIs via the Deeplake virtual filesystem at memory/goal/ and memory/kpi/. Use whenever the user mentions a goal, objective, KPI, target, milestone, or asks to track progress on something measurable. ALSO use when the user says "task", "todo",
Creator · activeloopai
Last updated · Sep 3, 2026
Create, track and update team goals + KPIs via the Deeplake virtual filesystem at memory/goal/ and memory/kpi/. Use whenever the user mentions a goal, objective, KPI, target, milestone, or asks to track progress on something measurable. ALSO use when the user says "task", "todo",
Creator · activeloopai
Last updated · Sep 3, 2026
Create, track and update team goals + KPIs via the Deeplake virtual filesystem at memory/goal/ and memory/kpi/. Use whenever the user mentions a goal, objective, KPI, target, milestone, or asks to track progress on something measurable. ALSO use when the user says "task", "todo",
Creator · activeloopai
Last updated · Sep 3, 2026
Create, track and update team goals + KPIs via the Deeplake virtual filesystem at memory/goal/ and memory/kpi/. Use whenever the user mentions a goal, objective, KPI, target, milestone, or asks to track progress on something measurable. ALSO use when the user says "task", "todo",
Sandbox only
Install targets
Codex install prompt
Install the "hivemind-goals" agent skill from https://github.com/activeloopai/hivemind/tree/main/harnesses/claude-code/skills/hivemind-goals. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Create, track and update team goals + KPIs via the Deeplake virtual filesystem at memory/goal/ and memory/kpi/. Use whenever the user mentions a goal, objective, KPI, 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"activeloopai-hivemind-goals","task":"Install hivemind-goals","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add activeloopai/hivemind --skill hivemind-goals
Maintenance
fresh
2d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
1.6K
78/100 Quality · 68/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
1.6K GitHub stars
Repo activity
1.6K stars, 104 forks
Maintenance
2d since push
License
Apache-2.0
Install
npx skills add activeloopai/hivemind --skill hivemind-goals
Install safety
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Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
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npx skills add activeloopai/hivemind --skill hivemind-goalsDo not use when
Alternative
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This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
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Copy prompt
Task: Use hivemind-goals in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20hivemind-goals%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/activeloopai-hivemind-goals/install
Install command: npx skills add activeloopai/hivemind --skill hivemind-goals
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/api/skills/activeloopai-hivemind-goals/install?format=text
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/api/skills/search?q=hivemind-goals&limit=3
Agent prompt
Use hivemind-goals for this task. Review https://www.openagentskill.com/api/skills/activeloopai-hivemind-goals/install, then install with: npx skills add activeloopai/hivemind --skill hivemind-goalsRegistry metadata
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/api/registry/manifest/activeloopai-hivemind-goals
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/api/registry/manifest/activeloopai-hivemind-goals?format=text
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/api/registry/install/activeloopai-hivemind-goals
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/api/registry/recommend?task=Use%20hivemind-goals%20in%20an%20agent%20workflow&limit=3
Agent fit
Document processing
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Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
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PASS1.6K GitHub stars
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INFO1.6K stars, 104 forks; issue activity unavailable in current metadata
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PASS2d since push
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PASSApache-2.0
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Review before install
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Run only in a sandbox and compare close alternatives before using it for real work.
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Solid option that is likely worth shortlisting for production workflows.
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Parse messy files
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Alternative shortlist
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Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
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--- name: hivemind-goals description: Create, track and update team goals + KPIs via the Deeplake virtual filesystem at memory/goal/ and memory/kpi/. Use whenever the user mentions a goal, objective, KPI, 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 and KPIs 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", "add a KPI", "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 ~/.deeplake/memory/kpi/<goal_id>/<kpi_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 - `<kpi_id>` — short slug like `k-prs` or `k-demos`
**Path encoding is the source of truth.** The owner, status, goal_id, and kpi_id come from the path — NOT from the file body. Do NOT write owner/status/goal_id/kpi_id inside the file content.
## File body format
Goal file body — plain markdown, free form: ``` ship the goals-graph feature
Notes: focus on KPI tracking via VFS, no separate CLI. Due: 2026-05-30. ```
KPI file body — markdown with a few mandatory key:value lines so the commit-driven auto-progress worker can parse and bump: ``` PRs merged
- target: 5 - current: 2 - unit: count ```
The `target:`, `current:`, `unit:` lines must stay on a single line each. The first line is the human-readable name. 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.
**Do NOT auto-generate KPIs.** A goal is created with zero KPI files by default. Generate KPIs ONLY when the user explicitly asks you to ("aggiungi KPI per …", "add metrics for this goal", "track these metrics: …"). When the user asks, write each KPI as a separate file at `~/.deeplake/memory/kpi/<goal_id>/<kpi-slug>.md` with the body format documented above.
### 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. Optionally `ls ~/.deeplake/memory/kpi/<uuid>/` and `cat` each KPI to surface progress.
### 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. Add a KPI manually
```bash cat > ~/.deeplake/memory/kpi/<uuid>/<kpi-slug>.md <<'EOF' <KPI name>
- target: <N> - current: 0 - unit: <unit> EOF ```
### 7. Record progress on a KPI
Read the KPI file, increment the `current:` line, write it back via Bash. The Edit tool is denied on memory paths — overwrite the full file via heredoc:
```bash cat ~/.deeplake/memory/kpi/<uuid>/<kpi-slug>.md # read current cat > ~/.deeplake/memory/kpi/<uuid>/<kpi-slug>.md <<'EOF' <KPI name>
- target: 5 - current: 3 - unit: count EOF ```
A surgical `sed -i 's/^- current: .*/- current: 3/'` also works since `sed` is an allowed builtin under the VFS path.
### 8. 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. KPI files do NOT have an owner segment — they are linked to the goal by `<uuid>`, so they need no change when a goal is reassigned.
## Constraints — DO NOT do these
- Do NOT put `owner`, `status`, `goal_id`, or `kpi_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. - Do NOT block on the KPI generator subprocess — always spawn it detached (`nohup … &`).
## Auto-progress from `git commit`
A PostToolUse hook listens for `git commit`. When it fires, it spawns the agent's native LLM in the background with the commit diff + the list of the current user's open goals. The LLM reads each goal + its KPIs, judges whether the commit advanced any KPI, and edits the relevant KPI file to bump `current:`. This is fire-and-forget; the user does not block on it.
To disable globally: `HIVEMIND_AUTO_KPI_FROM_COMMITS=false`.
## Team visibility
Every write goes to a team-shared table on Deeplake (`hivemind_goals` or `hivemind_kpis`). 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.
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1,593 GitHub stars
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Install and adoption review
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Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
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Free and open source. Review the report before installing into production agents.
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Scenario-led draft for hivemind-goals, ready for a manual X post.
A practical pick for source-backed research: hivemind-goals: Create, track and update team goals + KPIs via the Deeplake virtual filesystem at memory/goal/ and memory/kpi/. Use wheneve... 1.6K stars https://www.openagentskill.com/skills/activeloopai-hivemind-goals?ref=x
Listing + install path for hivemind-goals: https://www.openagentskill.com/skills/activeloopai-hivemind-goals?ref=x Install: npx skills add activeloopai/hivemind --skill hivemind-goals
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Code Review
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Install targets
Codex install prompt
Install the "hivemind-goals" agent skill from https://github.com/activeloopai/hivemind/tree/main/harnesses/claude-code/skills/hivemind-goals. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Create, track and update team goals + KPIs via the Deeplake virtual filesystem at memory/goal/ and memory/kpi/. Use whenever the user mentions a goal, objective, KPI, 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"activeloopai-hivemind-goals","task":"Install hivemind-goals","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add activeloopai/hivemind --skill hivemind-goals
Maintenance
fresh
2d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
1.6K
78/100 Quality · 68/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
1.6K GitHub stars
Repo activity
1.6K stars, 104 forks
Maintenance
2d since push
License
Apache-2.0
Install
npx skills add activeloopai/hivemind --skill hivemind-goals
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Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
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npx skills add activeloopai/hivemind --skill hivemind-goalsDo not use when
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Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
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Task: Use hivemind-goals in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20hivemind-goals%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/activeloopai-hivemind-goals/install
Install command: npx skills add activeloopai/hivemind --skill hivemind-goals
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Find alternatives
/api/skills/search?q=hivemind-goals&limit=3
Agent prompt
Use hivemind-goals for this task. Review https://www.openagentskill.com/api/skills/activeloopai-hivemind-goals/install, then install with: npx skills add activeloopai/hivemind --skill hivemind-goalsRegistry metadata
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Recommend
/api/registry/recommend?task=Use%20hivemind-goals%20in%20an%20agent%20workflow&limit=3
Agent fit
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Platforms
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--- name: hivemind-goals description: Create, track and update team goals + KPIs via the Deeplake virtual filesystem at memory/goal/ and memory/kpi/. Use whenever the user mentions a goal, objective, KPI, 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 and KPIs 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", "add a KPI", "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 ~/.deeplake/memory/kpi/<goal_id>/<kpi_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 - `<kpi_id>` — short slug like `k-prs` or `k-demos`
**Path encoding is the source of truth.** The owner, status, goal_id, and kpi_id come from the path — NOT from the file body. Do NOT write owner/status/goal_id/kpi_id inside the file content.
## File body format
Goal file body — plain markdown, free form: ``` ship the goals-graph feature
Notes: focus on KPI tracking via VFS, no separate CLI. Due: 2026-05-30. ```
KPI file body — markdown with a few mandatory key:value lines so the commit-driven auto-progress worker can parse and bump: ``` PRs merged
- target: 5 - current: 2 - unit: count ```
The `target:`, `current:`, `unit:` lines must stay on a single line each. The first line is the human-readable name. 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.
**Do NOT auto-generate KPIs.** A goal is created with zero KPI files by default. Generate KPIs ONLY when the user explicitly asks you to ("aggiungi KPI per …", "add metrics for this goal", "track these metrics: …"). When the user asks, write each KPI as a separate file at `~/.deeplake/memory/kpi/<goal_id>/<kpi-slug>.md` with the body format documented above.
### 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. Optionally `ls ~/.deeplake/memory/kpi/<uuid>/` and `cat` each KPI to surface progress.
### 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. Add a KPI manually
```bash cat > ~/.deeplake/memory/kpi/<uuid>/<kpi-slug>.md <<'EOF' <KPI name>
- target: <N> - current: 0 - unit: <unit> EOF ```
### 7. Record progress on a KPI
Read the KPI file, increment the `current:` line, write it back via Bash. The Edit tool is denied on memory paths — overwrite the full file via heredoc:
```bash cat ~/.deeplake/memory/kpi/<uuid>/<kpi-slug>.md # read current cat > ~/.deeplake/memory/kpi/<uuid>/<kpi-slug>.md <<'EOF' <KPI name>
- target: 5 - current: 3 - unit: count EOF ```
A surgical `sed -i 's/^- current: .*/- current: 3/'` also works since `sed` is an allowed builtin under the VFS path.
### 8. 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. KPI files do NOT have an owner segment — they are linked to the goal by `<uuid>`, so they need no change when a goal is reassigned.
## Constraints — DO NOT do these
- Do NOT put `owner`, `status`, `goal_id`, or `kpi_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. - Do NOT block on the KPI generator subprocess — always spawn it detached (`nohup … &`).
## Auto-progress from `git commit`
A PostToolUse hook listens for `git commit`. When it fires, it spawns the agent's native LLM in the background with the commit diff + the list of the current user's open goals. The LLM reads each goal + its KPIs, judges whether the commit advanced any KPI, and edits the relevant KPI file to bump `current:`. This is fire-and-forget; the user does not block on it.
To disable globally: `HIVEMIND_AUTO_KPI_FROM_COMMITS=false`.
## Team visibility
Every write goes to a team-shared table on Deeplake (`hivemind_goals` or `hivemind_kpis`). 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.
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A practical pick for source-backed research: hivemind-goals: Create, track and update team goals + KPIs via the Deeplake virtual filesystem at memory/goal/ and memory/kpi/. Use wheneve... 1.6K stars https://www.openagentskill.com/skills/activeloopai-hivemind-goals?ref=x
Listing + install path for hivemind-goals: https://www.openagentskill.com/skills/activeloopai-hivemind-goals?ref=x Install: npx skills add activeloopai/hivemind --skill hivemind-goals
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Install the "hivemind-goals" agent skill from https://github.com/activeloopai/hivemind/tree/main/harnesses/claude-code/skills/hivemind-goals. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Create, track and update team goals + KPIs via the Deeplake virtual filesystem at memory/goal/ and memory/kpi/. Use whenever the user mentions a goal, objective, KPI, 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"activeloopai-hivemind-goals","task":"Install hivemind-goals","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
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Task: Use hivemind-goals in this workspace.
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Parse messy files
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Alternative shortlist
Similar skills that may fit this task.
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
--- name: hivemind-goals description: Create, track and update team goals + KPIs via the Deeplake virtual filesystem at memory/goal/ and memory/kpi/. Use whenever the user mentions a goal, objective, KPI, 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 and KPIs 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", "add a KPI", "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 ~/.deeplake/memory/kpi/<goal_id>/<kpi_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 - `<kpi_id>` — short slug like `k-prs` or `k-demos`
**Path encoding is the source of truth.** The owner, status, goal_id, and kpi_id come from the path — NOT from the file body. Do NOT write owner/status/goal_id/kpi_id inside the file content.
## File body format
Goal file body — plain markdown, free form: ``` ship the goals-graph feature
Notes: focus on KPI tracking via VFS, no separate CLI. Due: 2026-05-30. ```
KPI file body — markdown with a few mandatory key:value lines so the commit-driven auto-progress worker can parse and bump: ``` PRs merged
- target: 5 - current: 2 - unit: count ```
The `target:`, `current:`, `unit:` lines must stay on a single line each. The first line is the human-readable name. 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.
**Do NOT auto-generate KPIs.** A goal is created with zero KPI files by default. Generate KPIs ONLY when the user explicitly asks you to ("aggiungi KPI per …", "add metrics for this goal", "track these metrics: …"). When the user asks, write each KPI as a separate file at `~/.deeplake/memory/kpi/<goal_id>/<kpi-slug>.md` with the body format documented above.
### 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. Optionally `ls ~/.deeplake/memory/kpi/<uuid>/` and `cat` each KPI to surface progress.
### 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. Add a KPI manually
```bash cat > ~/.deeplake/memory/kpi/<uuid>/<kpi-slug>.md <<'EOF' <KPI name>
- target: <N> - current: 0 - unit: <unit> EOF ```
### 7. Record progress on a KPI
Read the KPI file, increment the `current:` line, write it back via Bash. The Edit tool is denied on memory paths — overwrite the full file via heredoc:
```bash cat ~/.deeplake/memory/kpi/<uuid>/<kpi-slug>.md # read current cat > ~/.deeplake/memory/kpi/<uuid>/<kpi-slug>.md <<'EOF' <KPI name>
- target: 5 - current: 3 - unit: count EOF ```
A surgical `sed -i 's/^- current: .*/- current: 3/'` also works since `sed` is an allowed builtin under the VFS path.
### 8. 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. KPI files do NOT have an owner segment — they are linked to the goal by `<uuid>`, so they need no change when a goal is reassigned.
## Constraints — DO NOT do these
- Do NOT put `owner`, `status`, `goal_id`, or `kpi_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. - Do NOT block on the KPI generator subprocess — always spawn it detached (`nohup … &`).
## Auto-progress from `git commit`
A PostToolUse hook listens for `git commit`. When it fires, it spawns the agent's native LLM in the background with the commit diff + the list of the current user's open goals. The LLM reads each goal + its KPIs, judges whether the commit advanced any KPI, and edits the relevant KPI file to bump `current:`. This is fire-and-forget; the user does not block on it.
To disable globally: `HIVEMIND_AUTO_KPI_FROM_COMMITS=false`.
## Team visibility
Every write goes to a team-shared table on Deeplake (`hivemind_goals` or `hivemind_kpis`). 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.
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Scenario-led draft for hivemind-goals, ready for a manual X post.
A practical pick for source-backed research: hivemind-goals: Create, track and update team goals + KPIs via the Deeplake virtual filesystem at memory/goal/ and memory/kpi/. Use wheneve... 1.6K stars https://www.openagentskill.com/skills/activeloopai-hivemind-goals?ref=x
Listing + install path for hivemind-goals: https://www.openagentskill.com/skills/activeloopai-hivemind-goals?ref=x Install: npx skills add activeloopai/hivemind --skill hivemind-goals
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Install the "hivemind-goals" agent skill from https://github.com/activeloopai/hivemind/tree/main/harnesses/claude-code/skills/hivemind-goals. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Create, track and update team goals + KPIs via the Deeplake virtual filesystem at memory/goal/ and memory/kpi/. Use whenever the user mentions a goal, objective, KPI, 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"activeloopai-hivemind-goals","task":"Install hivemind-goals","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
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Task: Use hivemind-goals in this workspace.
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--- name: hivemind-goals description: Create, track and update team goals + KPIs via the Deeplake virtual filesystem at memory/goal/ and memory/kpi/. Use whenever the user mentions a goal, objective, KPI, 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 and KPIs 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", "add a KPI", "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 ~/.deeplake/memory/kpi/<goal_id>/<kpi_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 - `<kpi_id>` — short slug like `k-prs` or `k-demos`
**Path encoding is the source of truth.** The owner, status, goal_id, and kpi_id come from the path — NOT from the file body. Do NOT write owner/status/goal_id/kpi_id inside the file content.
## File body format
Goal file body — plain markdown, free form: ``` ship the goals-graph feature
Notes: focus on KPI tracking via VFS, no separate CLI. Due: 2026-05-30. ```
KPI file body — markdown with a few mandatory key:value lines so the commit-driven auto-progress worker can parse and bump: ``` PRs merged
- target: 5 - current: 2 - unit: count ```
The `target:`, `current:`, `unit:` lines must stay on a single line each. The first line is the human-readable name. 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.
**Do NOT auto-generate KPIs.** A goal is created with zero KPI files by default. Generate KPIs ONLY when the user explicitly asks you to ("aggiungi KPI per …", "add metrics for this goal", "track these metrics: …"). When the user asks, write each KPI as a separate file at `~/.deeplake/memory/kpi/<goal_id>/<kpi-slug>.md` with the body format documented above.
### 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. Optionally `ls ~/.deeplake/memory/kpi/<uuid>/` and `cat` each KPI to surface progress.
### 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. Add a KPI manually
```bash cat > ~/.deeplake/memory/kpi/<uuid>/<kpi-slug>.md <<'EOF' <KPI name>
- target: <N> - current: 0 - unit: <unit> EOF ```
### 7. Record progress on a KPI
Read the KPI file, increment the `current:` line, write it back via Bash. The Edit tool is denied on memory paths — overwrite the full file via heredoc:
```bash cat ~/.deeplake/memory/kpi/<uuid>/<kpi-slug>.md # read current cat > ~/.deeplake/memory/kpi/<uuid>/<kpi-slug>.md <<'EOF' <KPI name>
- target: 5 - current: 3 - unit: count EOF ```
A surgical `sed -i 's/^- current: .*/- current: 3/'` also works since `sed` is an allowed builtin under the VFS path.
### 8. 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. KPI files do NOT have an owner segment — they are linked to the goal by `<uuid>`, so they need no change when a goal is reassigned.
## Constraints — DO NOT do these
- Do NOT put `owner`, `status`, `goal_id`, or `kpi_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. - Do NOT block on the KPI generator subprocess — always spawn it detached (`nohup … &`).
## Auto-progress from `git commit`
A PostToolUse hook listens for `git commit`. When it fires, it spawns the agent's native LLM in the background with the commit diff + the list of the current user's open goals. The LLM reads each goal + its KPIs, judges whether the commit advanced any KPI, and edits the relevant KPI file to bump `current:`. This is fire-and-forget; the user does not block on it.
To disable globally: `HIVEMIND_AUTO_KPI_FROM_COMMITS=false`.
## Team visibility
Every write goes to a team-shared table on Deeplake (`hivemind_goals` or `hivemind_kpis`). 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.
Source provenance
Decision snapshot
1,593 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for hivemind-goals, ready for a manual X post.
A practical pick for source-backed research: hivemind-goals: Create, track and update team goals + KPIs via the Deeplake virtual filesystem at memory/goal/ and memory/kpi/. Use wheneve... 1.6K stars https://www.openagentskill.com/skills/activeloopai-hivemind-goals?ref=x
Listing + install path for hivemind-goals: https://www.openagentskill.com/skills/activeloopai-hivemind-goals?ref=x Install: npx skills add activeloopai/hivemind --skill hivemind-goals
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Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
168.6K StarsAppsmith
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
40.8K StarsImplement
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
175.7K StarsVercel React Best Practices
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
30.9K StarsPermission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness