agent-manager-skill
Manage multiple local CLI agents in parallel tmux sessions with task assignment and monitoring.
Works with
What it does
Start, stop, and monitor agents running in isolated tmux sessions with log tailing and health checks
Assign tasks to specific agents and track their execution output in real time
Schedule recurring agent work via cron integration for automated workflows
Requires tmux and Python 3; agents are configured in a local agents/ directory
Installation Guide
How to use agent-manager-skill on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- βΊCursor installed and configured on your machine
- βΊNode.js 16+ with npm β verify with
node --version - βΊActive project directory where you want to add
agent-manager-skill
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches agent-manager-skill from davila7/claude-code-templates and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate agent-manager-skill. Access via /agent-manager-skill in your agent's command palette.
Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
Agent Manager Skill
When to use
Use this skill when you need to:
- run multiple local CLI agents in parallel (separate tmux sessions)
- start/stop agents and tail their logs
- assign tasks to agents and monitor output
- schedule recurring agent work (cron)
Prerequisites
Install agent-manager-skill in your workspace:
git clone https://github.com/fractalmind-ai/agent-manager-skill.git
Common commands
python3 agent-manager/scripts/main.py doctor
python3 agent-manager/scripts/main.py list
python3 agent-manager/scripts/main.py start EMP_0001
python3 agent-manager/scripts/main.py monitor EMP_0001 --follow
python3 agent-manager/scripts/main.py assign EMP_0002 <<'EOF'
Follow teams/fractalmind-ai-maintenance.md Workflow
EOF
Notes
- Requires
tmuxandpython3. - Agents are configured under an
agents/directory (see the repo for examples).
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Use Cases
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale