# Send AGI Farm to your agent
Use the source page and any available docs to guide the install because the item is currently unstable or timing out.
## Fast path
- Open the source page via Review source status.
- If you can obtain the package, extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the source page and extracted files.
## Suggested prompts
### New install

```text
I tried to install a skill package from Yavira, but the item is currently unstable or timing out. Inspect the source page and any extracted docs, then tell me what you can confirm and any manual steps still required. Then review README.md for any prerequisites, environment setup, or post-install checks.
```
### Upgrade existing

```text
I tried to upgrade a skill package from Yavira, but the item is currently unstable or timing out. Compare the source page and any extracted docs with my current installation, then summarize what changed and what manual follow-up I still need. Then review README.md for any prerequisites, environment setup, or post-install checks.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "agi-farm",
    "name": "AGI Farm",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/oabdelmaksoud/agi-farm",
    "canonicalUrl": "https://clawhub.ai/oabdelmaksoud/agi-farm",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/agi-farm",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=agi-farm",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "README.md",
      "SKILL.md",
      "auto-dispatch.py",
      "dashboard-react/README.md",
      "dashboard-react/dist/assets/index-CN6oMpnV.js",
      "dashboard-react/dist/assets/index-DpgkYyr0.css"
    ],
    "downloadMode": "manual_only",
    "sourceHealth": {
      "source": "tencent",
      "slug": "agi-farm",
      "status": "unstable",
      "reason": "timeout",
      "recommendedAction": "retry_later",
      "checkedAt": "2026-04-29T01:35:55.553Z",
      "expiresAt": "2026-04-29T13:35:55.553Z",
      "httpStatus": null,
      "finalUrl": null,
      "contentType": null,
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=agi-farm",
        "error": "Timed out after 5000ms",
        "slug": "agi-farm"
      },
      "scope": "item",
      "summary": "Item is unstable.",
      "detail": "This item is timing out or returning errors right now. Review the source page and try again later.",
      "primaryActionLabel": "Review source status",
      "primaryActionHref": "https://clawhub.ai/oabdelmaksoud/agi-farm"
    },
    "validation": {
      "installChecklist": [
        "Wait for the source to recover or retry later.",
        "Review SKILL.md only after the download returns a real package.",
        "Treat this source as transient until the upstream errors clear."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/agi-farm",
    "downloadUrl": "https://openagent3.xyz/downloads/agi-farm",
    "agentUrl": "https://openagent3.xyz/skills/agi-farm/agent",
    "manifestUrl": "https://openagent3.xyz/skills/agi-farm/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/agi-farm/agent.md"
  }
}
```
## Documentation

### agi-farm

Builds a complete multi-agent AI team on OpenClaw. One wizard, full team.

### Commands

CommandWhat it does/agi-farm setupFull wizard — agents, workspace, crons, bundle, GitHub/agi-farm statusTeam health: agents, tasks, cron status/agi-farm rebuildRegenerate workspace from existing bundle (preserves edits)/agi-farm exportPush bundle to GitHub/agi-farm dashboardLaunch live ops room — see references/dashboard.md/agi-farm dispatchRun auto-dispatcher — see scripts/auto-dispatch.py

### /agi-farm setup

Ask one question at a time. Do not proceed until confirmed.

### Step 1 — Team name

"What should we call your team? (e.g. NovaCorp, TradingDesk — default: MyTeam)"

Store as TEAM_NAME.

### Step 2 — Orchestrator name

"What's your orchestrator's name? (default: Cooper)"

Store as ORCHESTRATOR_NAME.

### Step 3 — Team size

"How many agents?
3 — Minimal: Orchestrator + Researcher + Builder
5 — Standard: adds QA + Content
11 — Full stack: complete AGI system (recommended)"

Store as PRESET.

### Step 3.5 — Domain

"What domain? software / trading / research / general (default) / custom"

If custom: ask for one-phrase description. Store as DOMAIN.

### Step 3.6 — Custom agents (PRESET 3 or 5 only)

"Add a custom agent? (yes/no, default: no)"

If yes, collect per agent: id, name, emoji, role, goal. Max 3 custom agents.
Append to roster in Step 7 with "template": "generic".

### Step 4 — Frameworks

"Collaboration frameworks? autogen / crewai / langgraph / all / none"

Store as FRAMEWORKS list. all → ["autogen", "crewai", "langgraph"].

### Step 5 — GitHub

"Create a GitHub repo for the bundle? yes / no"

Store as CREATE_GITHUB.

### Step 6 — Confirm

Show summary, ask "Shall I proceed? (yes/no)". If no → restart Step 1.

### Step 7 — Write team.json

mkdir -p ~/.openclaw/workspace/agi-farm-bundle/
openclaw agents list --json   # use output to assign appropriate models per role

Use the openclaw agents list output to assign each agent a model appropriate for
its role. Write resolved model strings directly into the "model" fields.

Model selection cheat sheet (based on openclaw agents list --json output):

RoleRecommended tierWhyOrchestratorHigh-capability (e.g. sonnet, opus)Needs broad reasoning, delegation judgmentSolution Architect / ResearcherHigh-capabilityDeep analysis + designImplementation EngineerMid-tier (e.g. glm-5, sonnet)Fast code gen; cost-efficiency mattersDebuggerHigh-capability (e.g. opus)Root-cause analysis benefits from deep reasoningBusiness Analyst / KnowledgeMid-high (e.g. gemini-2.0-pro-exp)Long-context research tasksQA EngineerFast/cheap (e.g. glm-4.7-flash)High volume, pattern-matching checksContent / MultimodalMultimodal-capable (e.g. gemini-2.0-pro-exp)Vision + rich generationR&D / Process ImprovementHigh-capabilityCreative + structured experimentation

Tip: assign opus or sonnet to roles that make decisions; use flash/glm-4.7-flash for high-frequency reviewers to manage cost.

3-agent roster:

{"team_name":"<TEAM_NAME>","orchestrator_name":"<ORCHESTRATOR_NAME>","preset":"3",
 "domain":"<DOMAIN>","frameworks":<FRAMEWORKS_JSON>,"created_at":"<ISO_TIMESTAMP>",
 "agents":[
   {"id":"main",       "name":"<ORCHESTRATOR_NAME>","emoji":"🦅","role":"Orchestrator",           "goal":"Orchestrate the team, delegate tasks, synthesize results",             "model":"<MODEL>","workspace":"."},
   {"id":"researcher", "name":"Sage",               "emoji":"🔮","role":"Researcher",             "goal":"Research deeply and surface the insights that matter most",            "model":"<MODEL>","workspace":"researcher"},
   {"id":"builder",    "name":"Forge",              "emoji":"⚒️","role":"Builder",                "goal":"Implement solutions cleanly and efficiently",                          "model":"<MODEL>","workspace":"builder"}
 ]}

5-agent: add to 3-agent roster:

{"id":"qa",     "name":"Vigil", "emoji":"🛡️","role":"QA Engineer",       "goal":"Ensure every output meets quality standards","model":"<MODEL>","workspace":"qa"},
{"id":"content","name":"Anchor","emoji":"⚓", "role":"Content Specialist","goal":"Craft clear content that communicates complex ideas simply","model":"<MODEL>","workspace":"content"}

11-agent roster:

[
  {"id":"main",  "name":"<ORCHESTRATOR_NAME>","emoji":"🦅","role":"Orchestrator",            "goal":"Orchestrate specialists, delegate tasks, synthesize results",                          "model":"<MODEL>","workspace":"."},
  {"id":"sage",  "name":"Sage",              "emoji":"🔮","role":"Solution Architect",       "goal":"Design robust, scalable architectures",                                               "model":"<MODEL>","workspace":"solution-architect"},
  {"id":"forge", "name":"Forge",             "emoji":"⚒️","role":"Implementation Engineer", "goal":"Implement clean, well-tested code efficiently",                                        "model":"<MODEL>","workspace":"implementation-engineer"},
  {"id":"pixel", "name":"Pixel",             "emoji":"🐛","role":"Debugger",                "goal":"Find the true root cause of any bug or failure",                                       "model":"<MODEL>","workspace":"debugger"},
  {"id":"vista", "name":"Vista",             "emoji":"🔭","role":"Business Analyst",        "goal":"Research deeply and surface the insights that matter most",                            "model":"<MODEL>","workspace":"business-analyst"},
  {"id":"cipher","name":"Cipher",            "emoji":"🔊","role":"Knowledge Curator",       "goal":"Curate and surface knowledge so the team never forgets",                              "model":"<MODEL>","workspace":"knowledge-curator"},
  {"id":"vigil", "name":"Vigil",             "emoji":"🛡️","role":"QA Engineer",             "goal":"Ensure every output meets quality standards",                                         "model":"<MODEL>","workspace":"quality-assurance"},
  {"id":"anchor","name":"Anchor",            "emoji":"⚓", "role":"Content Specialist",     "goal":"Craft clear content that communicates complex ideas simply",                           "model":"<MODEL>","workspace":"content-specialist"},
  {"id":"lens",  "name":"Lens",              "emoji":"📡","role":"Multimodal Specialist",   "goal":"Extract meaning from images, documents, and multimodal inputs",                       "model":"<MODEL>","workspace":"multimodal-specialist"},
  {"id":"evolve","name":"Evolve",            "emoji":"🔄","role":"Process Improvement Lead","goal":"Make the team better systematically through continuous improvement",                   "model":"<MODEL>","workspace":"process-improvement"},
  {"id":"nova",  "name":"Nova",              "emoji":"🧪","role":"R&D Lead",                "goal":"Turn hypotheses into proven capabilities through structured experimentation",          "model":"<MODEL>","workspace":"r-and-d"}
]

### Step 8 — Generate workspace files

python3 ~/.openclaw/skills/agi-farm/generate.py \\
  --team-json ~/.openclaw/workspace/agi-farm-bundle/team.json \\
  --output ~/.openclaw/workspace/ \\
  --all-agents --shared --bundle

### Step 9 — Create OpenClaw agents

For each agent except main (skip if already exists):

openclaw agents add \\
  --agent <id> --name "<name>" --emoji "<emoji>" \\
  --model "<model>" \\
  --workspace "~/.openclaw/workspace/agents-workspaces/<workspace>"

Use agent["model"] from team.json directly.

### Step 10 — Register cron jobs

python3 ~/.openclaw/skills/agi-farm/scripts/register-crons.py \\
  --team-json ~/.openclaw/workspace/agi-farm-bundle/team.json

Timezone is read automatically from OpenClaw config. Skips any cron that already exists.

### Step 11 — Install frameworks

For each framework in FRAMEWORKS:

if [ ! -d ~/.openclaw/skills/<fw>-collab ]; then
  TMP=$(mktemp -d)
  git clone --depth 1 --filter=blob:none --sparse \\
    https://github.com/oabdelmaksoud/openclaw-skills.git "$TMP"
  cd "$TMP" && git sparse-checkout set <fw>-collab
  cp -r <fw>-collab ~/.openclaw/skills/ && rm -rf "$TMP"
fi
python3 ~/.openclaw/skills/<fw>-collab/build_agents.py --force 2>/dev/null || true

### Step 12 — GitHub (if chosen)

cd ~/.openclaw/workspace/agi-farm-bundle
git init -b main && git add . && git commit -m "feat: <TEAM_NAME> AGI farm"
gh repo create agi-farm-<TEAM_NAME_LOWER> --public --source . --remote origin --push

### Step 13 — Commit workspace

cd ~/.openclaw/workspace
git add -A && git commit -m "feat: <TEAM_NAME> AGI team — agi-farm setup complete"

### Step 14 — Initialize registries + health check

# Write TASKS.json and AGENT_STATUS.json
python3 - << 'EOF'
import json
from pathlib import Path
ws   = Path.home() / ".openclaw/workspace"
team = json.loads((ws / "agi-farm-bundle/team.json").read_text())
(ws / "TASKS.json").write_text("[]")
(ws / "AGENT_STATUS.json").write_text(json.dumps(
    {a["id"]: {"status": "available", "name": a["name"]} for a in team["agents"]}, indent=2))
print("✅ registries written")
EOF

# Health check
AGENTS=$(openclaw agents list --json 2>/dev/null | python3 -c "import json,sys; print(len(json.load(sys.stdin)))" || echo 0)
CRONS=$(openclaw cron list 2>/dev/null | grep -c "<TEAM_NAME_LOWER>" || echo 0)
[ -d ~/.openclaw/workspace/comms/inboxes ] && echo "✅ comms OK" || echo "❌ comms missing"
[ -f ~/.openclaw/workspace/TASKS.json ]    && echo "✅ TASKS.json OK" || echo "❌ TASKS.json missing"
echo "✅ Agents: $AGENTS | Crons: $CRONS"

### Step 15 — Done

✅ <TEAM_NAME> AGI team is live!
Agents   : <PRESET> (<AGENT_NAMES_LIST>)
Workspace: ~/.openclaw/workspace/
Bundle   : ~/.openclaw/workspace/agi-farm-bundle/
GitHub   : <URL if created>

Next: talk to <ORCHESTRATOR_NAME> · /agi-farm status · /agi-farm dashboard

### /agi-farm status

openclaw agents list --json | python3 -c "
import json,sys
for a in json.load(sys.stdin):
    print(f'  {a.get(\\"identityEmoji\\",\\"🤖\\")} {a.get(\\"identityName\\",a[\\"id\\"])}: {a.get(\\"model\\",\\"?\\")}')
"
python3 -c "
import json
from pathlib import Path
ws = Path.home() / '.openclaw/workspace'
tasks = json.loads((ws/'TASKS.json').read_text()) if (ws/'TASKS.json').exists() else []
t = [t for t in tasks if isinstance(t,dict)]
print(f'  Tasks: {len(t)} total · {sum(1 for x in t if x.get(\\"status\\")==\\"pending\\")} pending · {sum(1 for x in t if x.get(\\"status\\")==\\"needs_human_decision\\")} HITL')
"
openclaw cron list 2>/dev/null | head -15

### /agi-farm rebuild

python3 ~/.openclaw/skills/agi-farm/generate.py \\
  --team-json ~/.openclaw/workspace/agi-farm-bundle/team.json \\
  --output ~/.openclaw/workspace/ \\
  --all-agents --shared --no-overwrite

--no-overwrite skips files that already exist, preserving manual edits.
Add --force (remove --no-overwrite) to overwrite everything.

### /agi-farm export

cd ~/.openclaw/workspace/agi-farm-bundle
git add -A
git commit -m "export: $(date +%Y-%m-%d)" 2>/dev/null || echo "Nothing to commit"
git push 2>/dev/null || echo "No remote — run /agi-farm setup first"

### /agi-farm dashboard

React + SSE ops room. File-watcher pushes live data to the browser in ~350ms on any workspace .json or .md change. Runs as a persistent macOS LaunchAgent — always on, auto-restarts on crash.

### Architecture

dashboard.py          ← Python HTTP server (SSE + static)
  ├── WorkspaceWatcher  watchdog file-watcher, 250ms debounce
  ├── SlowDataCache     background thread — caches \`openclaw agents list\`
  │                     and \`openclaw cron list\` every 30s (each takes ~1-2s)
  ├── Broadcaster       thread-safe SSE fan-out to all connected clients
  └── /api/stream       SSE endpoint — pushes full snapshot on every file change

dashboard-react/      ← Vite + React 18 + Recharts frontend
  dist/               ← production build (served by dashboard.py)
  src/
    hooks/useDashboard.js   SSE hook — auto-reconnects on disconnect
    components/
      Header.jsx            live badge, stats, clock
      Nav.jsx               tab switcher
      tabs/
        Overview.jsx        stats, budget bar, SLA alerts, agent grid, broadcast preview
        Agents.jsx          full agent cards — model, inbox, quality, credibility, cache age
        Tasks.jsx           filterable table, expandable rows, ticking deadlines, pagination
        Velocity.jsx        7-day charts (Recharts), quality trend, task-type donut
        Budget.jsx          period bars, threshold markers, per-agent/model breakdown
        OKRs.jsx            objectives + KRs with progress bars
        RD.jsx              experiments, backlog, benchmarks
        Broadcast.jsx       terminal log, color-coded CRITICAL/BLOCKED/HITL

### Data sources (all real-time from workspace files)

FieldSource fileRefreshtasks, task_counts, sla_at_riskTASKS.jsoninstantagents (inbox, perf, status)AGENT_STATUS.json, AGENT_PERFORMANCE.json, comms/inboxes/instantagent model, cron error/busyopenclaw agents/cron list30s cachebudgetBUDGET.jsoninstantvelocityVELOCITY.jsoninstantokrsOKRs.jsoninstantbroadcastcomms/broadcast.mdinstantexperiments / backlogEXPERIMENTS.json, IMPROVEMENT_BACKLOG.jsoninstantknowledge_countSHARED_KNOWLEDGE.jsoninstantmemory_linesMEMORY.mdinstant

### LaunchAgent (always-on)

The dashboard is registered as ai.coopercorp.dashboard and starts automatically at login.

# Status
launchctl list | grep coopercorp
curl -s http://localhost:8080/api/data | python3 -m json.tool | head -5

# Restart
launchctl stop  ai.coopercorp.dashboard
launchctl start ai.coopercorp.dashboard

# Logs
tail -f /tmp/coopercorp-dashboard.log
tail -f /tmp/coopercorp-dashboard.err

# Disable / re-enable
launchctl unload ~/Library/LaunchAgents/ai.coopercorp.dashboard.plist
launchctl load   ~/Library/LaunchAgents/ai.coopercorp.dashboard.plist

URL: http://localhost:8080

### Rebuild React frontend

cd ~/.openclaw/skills/agi-farm/dashboard-react
npm install        # first time only
npm run build      # outputs to dist/ — dashboard.py serves automatically

Full reference: references/dashboard.md

### /agi-farm dispatch

# Dry-run (preview only)
python3 ~/.openclaw/skills/agi-farm/scripts/auto-dispatch.py

# Execute
python3 ~/.openclaw/skills/agi-farm/scripts/auto-dispatch.py --execute

Fires agent sessions for pending tasks, handles HITL notifications, stale task
resets, rate-limit backoff, and dependency checking. Cron (every 1 min):

* * * * * python3 ~/.openclaw/skills/agi-farm/scripts/auto-dispatch.py --execute \\
            >> ~/.openclaw/workspace/logs/auto-dispatch.log 2>&1

### Setup issues

SymptomFixgenerate.py fails with ModuleNotFoundErrorRun pip3 install jinja2openclaw agents add says agent already existsSafe to ignore — skip that agentgh repo create failsRun gh auth login firstCron registration shows 0 crons addedRun openclaw cron list to check for duplicates; use --force flag on re-registergit commit fails in Step 13Run git config --global user.email and set name/email first

### Runtime issues

SymptomFixAuto-dispatcher fires but agents don't respondCheck logs/auto-dispatch.log; verify openclaw agents list shows agentsDashboard shows stale dataRestart LaunchAgent: launchctl stop ai.coopercorp.dashboard && launchctl start ai.coopercorp.dashboardTASKS.json parse errorValidate JSON: python3 -m json.tool ~/.openclaw/workspace/TASKS.jsonAgent stuck >30 minCheck broadcast.md for [BLOCKED] tags; reassign task manuallyRate-limit backoff too aggressiveEdit RATE_LIMIT_BACKOFF_MIN in scripts/auto-dispatch.py (default: 10 min)openclaw not found in cronSet OPENCLAW_BIN=/path/to/openclaw in the cron environment, or add PATH=/opt/homebrew/bin:$PATH

### Recovery

# Re-run setup without overwriting existing files
python3 ~/.openclaw/skills/agi-farm/generate.py \\
  --team-json ~/.openclaw/workspace/agi-farm-bundle/team.json \\
  --output ~/.openclaw/workspace/ \\
  --all-agents --shared --no-overwrite

# Force full regeneration (overwrites everything)
python3 ~/.openclaw/skills/agi-farm/generate.py \\
  --team-json ~/.openclaw/workspace/agi-farm-bundle/team.json \\
  --output ~/.openclaw/workspace/ \\
  --all-agents --shared --bundle --force
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: oabdelmaksoud
- Version: 1.2.0
## Source health
- Status: unstable
- Item is unstable.
- This item is timing out or returning errors right now. Review the source page and try again later.
- Health scope: item
- Reason: timeout
- Checked at: 2026-04-29T01:35:55.553Z
- Expires at: 2026-04-29T13:35:55.553Z
- Recommended action: Review source status
## Links
- [Detail page](https://openagent3.xyz/skills/agi-farm)
- [Send to Agent page](https://openagent3.xyz/skills/agi-farm/agent)
- [JSON manifest](https://openagent3.xyz/skills/agi-farm/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/agi-farm/agent.md)
- [Download page](https://openagent3.xyz/downloads/agi-farm)