Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Project Manager Agent
Monitors active sub-agents, detects stalls, provides status updates, and steers stuck agents via sessions_send.
skill openclawclawhub Free
Monitors active sub-agents, detects stalls, provides status updates, and steers stuck agents via sessions_send.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, _meta.json, config.json, scripts/project_manager.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.0
Provenance
- Publisher
- RuneweaverStudios
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Description
Monitors active sub-agents, detects stalls, provides status updates, and steers stuck agents via sessions_send.
Project Manager Agent
This skill provides oversight for your OpenClaw sub-agents. It proactively checks the status of running sub-agents, identifies potential stalls or failures, and can steer stalled sub-agents by sending a continue message via the sessions_send tool.
Running the monitor
python3 <skill-dir>/scripts/project_manager.py
Options
--staleness_threshold_minutes <int>: Minutes after which a sub-agent is considered stalled (default from config or 10). --check_all_sessions: Check all sessions, not just subagents of the current main session. --json: Print human summary then a JSON line with stalledSessionKeys, steerMessage, and summary for agent steering. --no_cooldown: Output all stalled keys (ignore 15-minute cooldown). --record-steered KEY [KEY ...]: Record these session keys as just steered (for cooldown). Run after calling sessions_send.
Example (Status check, human-only)
python3 /Users/ghost/.openclaw/workspace/skills/project-manager-agent/scripts/project_manager.py --staleness_threshold_minutes 15
Example (Agent run with steering)
python3 /Users/ghost/.openclaw/workspace/skills/project-manager-agent/scripts/project_manager.py --json --staleness_threshold_minutes 10 Then parse the last line (JSON), call sessions_send for each key in stalledSessionKeys, and optionally run --record-steered <keys>.
Features
Sub-agent Monitoring: Lists all active sub-agents (file-based; no gateway API in the script). Stall Detection: Flags sub-agents that haven't updated their status within a configurable time period. Failure Identification: Reports on sub-agents that have aborted their last run. Status Reports: Human-readable summaries and optional JSON with stalledSessionKeys for steering. Automated Steering: When you run the skill with --json, parse the output and call sessions_send for each stalled session (see Agent instructions below).
Agent instructions (mandatory when running this skill)
When the user or a cron asks you to run the project-manager-agent skill: Run the script with --json (and existing args as needed): python3 /Users/ghost/.openclaw/workspace/skills/project-manager-agent/scripts/project_manager.py --json --staleness_threshold_minutes 10 Parse the script stdout: The last line is a single JSON object with stalledSessionKeys, steerMessage, and summary. Parse it (e.g. take the last line that starts with { and ends with }). If stalledSessionKeys is non-empty: For each session key in stalledSessionKeys (cap at 5 per run to avoid spam), call sessions_send(sessionKey, steerMessage from JSON or "Please continue working on your task.", 0) (fire-and-forget; timeoutSeconds=0). Optionally run the script again to record cooldown so the same session is not steered again for 15 minutes: python3 /Users/ghost/.openclaw/workspace/skills/project-manager-agent/scripts/project_manager.py --record-steered <key1> <key2> ... Reply to the user/cron with the status summary (the human-readable part of the script output) and, if you steered any, add: "Steered N stalled subagent(s)." You have access to sessions_list and sessions_send; the script only produces the list of session keys to steer. Steering is done by you in the same turn via the sessions_send tool.
Config (optional)
See config.json for: staleness_threshold_minutes, steer_cooldown_minutes, steer_message, max_steer_per_run.
Integration as a Cron Job
This skill is ideal for a cron job, running periodically (e.g., every 5 minutes). The agent runs the script with --json, steers stalled subagents via sessions_send, and announces the status. Example Cron Job Payload: { "payload": { "kind": "agentTurn", "message": "Run project-manager-agent skill and report status of all sub-agents.", "model": "openrouter/google/gemini-2.5-flash", "thinking": "low", "timeoutSeconds": 60 }, "schedule": { "kind": "every", "everyMs": 300000 }, "delivery": { "mode": "announce" }, "sessionTarget": "isolated", "name": "Project Manager (Sub-agent Monitor)" } version: 0.2.0
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Config1 Docs1 Scripts
- SKILL.md
- scripts/project_manager.py
- _meta.json
- config.json