auto-agent
Automatically spawn and manage agents based on task requirements.
Install / Use
npx skills add spencermarx/open-code-reviewInstalls into whichever agent you are using.
Claude Commands
Claude Code slash commands
Quality Score
Category
AutomationSupported Platforms
Our assessment of auto-agent
auto-agent scores 83/100 on our quality scale, 2277th of 2,931 Automation skills we index.
Its Claude Commands is 2.5 KB long, well organised into 16 sections with 6 code examples: a solid amount of guidance for an agent.
It has 368 GitHub stars, a meaningful sign that others use it.
Maintenance, license and trust
- The repository was last updated about 3 months ago, so auto-agent is actively maintained.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-10-15. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
auto-agent compared with similar skills
All 4 of these similar skills score higher than auto-agent; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| auto-agent (this skill)by spencermarx | 83 | 368 | 3mo ago | Claude Commands |
| claude-memby thedotmack | 100 | 100.9k | 1d ago | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 97.6k | today | CLAUDE.md |
| taste-skillby Leonxlnx | 100 | 97.0k | today | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 86.4k | 3d ago | CLAUDE.md |
Frequently asked questions
- How do I install auto-agent?
- Run
npx skills add spencermarx/open-code-review. The install tabs above show the steps for each supported agent. - Which AI agents does auto-agent work with?
- It is written for Claude Code, as a Claude Commands file. Other agents that read the same format can often use it too.
- Is auto-agent safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is auto-agent still maintained?
- The repository was last updated about 3 months ago, so auto-agent is actively maintained.
Skill content
View source on GitHubauto agent
Automatically spawn and manage agents based on task requirements.
Usage
npx claude-flow auto agent [options]
Options
--task, -t <description>- Task description for agent analysis--max-agents, -m <number>- Maximum agents to spawn (default: auto)--min-agents <number>- Minimum agents required (default: 1)--strategy, -s <type>- Selection strategy: optimal, minimal, balanced--no-spawn- Analyze only, don't spawn agents
Examples
Basic auto-spawning
npx claude-flow auto agent --task "Build a REST API with authentication"
Constrained spawning
npx claude-flow auto agent -t "Debug performance issue" --max-agents 3
Analysis only
npx claude-flow auto agent -t "Refactor codebase" --no-spawn
Minimal strategy
npx claude-flow auto agent -t "Fix bug in login" -s minimal
How It Works
-
Task Analysis
- Parses task description
- Identifies required skills
- Estimates complexity
- Determines parallelization opportunities
-
Agent Selection
- Matches skills to agent types
- Considers task dependencies
- Optimizes for efficiency
- Respects constraints
-
Topology Selection
- Chooses optimal swarm structure
- Configures communication patterns
- Sets up coordination rules
- Enables monitoring
-
Automatic Spawning
- Creates selected agents
- Assigns specific roles
- Distributes subtasks
- Initiates coordination
Agent Types Selected
- Architect: System design, architecture decisions
- Coder: Implementation, code generation
- Tester: Test creation, quality assurance
- Analyst: Performance, optimization
- Researcher: Documentation, best practices
- Coordinator: Task management, progress tracking
Strategies
Optimal
- Maximum efficiency
- May spawn more agents
- Best for complex tasks
- Highest resource usage
Minimal
- Minimum viable agents
- Conservative approach
- Good for simple tasks
- Lowest resource usage
Balanced
- Middle ground
- Adaptive to complexity
- Default strategy
- Good performance/resource ratio
Integration with Claude Code
// In Claude Code after auto-spawning
mcp__claude-flow__auto_agent {
task: "Build authentication system",
strategy: "balanced",
maxAgents: 6
}
See Also
agent spawn- Manual agent creationswarm init- Initialize swarm manuallysmart spawn- Intelligent agent spawningworkflow select- Choose predefined workflows
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
