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auto-agent

Automatically spawn and manage agents based on task requirements.

Install / Use

npx skills add spencermarx/open-code-review

Installs into whichever agent you are using.

About this skill
⚡

Claude Commands

Claude Code slash commands

Quality Score

83/100

Category

Automation

Supported Platforms

Claude Code

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.

Substance
26/30
Structure
20/20
Description
12/15
Adoption
11/20
Freshness
15/15

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 found

Our 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.

SkillScoreStarsUpdatedFormat
auto-agent (this skill)by spencermarx833683mo agoClaude Commands
claude-memby thedotmack100100.9k1d agoCLAUDE.md
Agent-Reachby Panniantong10097.6ktodayCLAUDE.md
taste-skillby Leonxlnx10097.0ktodayCLAUDE.md
Understand-Anythingby Egonex-AI10086.4k3d agoCLAUDE.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.

auto 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

  1. Task Analysis

    • Parses task description
    • Identifies required skills
    • Estimates complexity
    • Determines parallelization opportunities
  2. Agent Selection

    • Matches skills to agent types
    • Considers task dependencies
    • Optimizes for efficiency
    • Respects constraints
  3. Topology Selection

    • Chooses optimal swarm structure
    • Configures communication patterns
    • Sets up coordination rules
    • Enables monitoring
  4. 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 creation
  • swarm init - Initialize swarm manually
  • smart spawn - Intelligent agent spawning
  • workflow select - Choose predefined workflows

Related Skills

View on GitHub
GitHub Stars368
CategoryAutomation
Updated2mo ago
Forks33

Languages

TypeScript

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions
auto-agent — Claude Commands: Install & Safety Check | SkillAgent