AI Agent Skill HUB

Agent Discovery Skill

## Purpose

14 stars
bymasharratt
View on GitHubInstallation ↓

Best use case

Agent Discovery Skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

## Purpose

Teams using Agent Discovery Skill should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/cfn-agent-discovery/SKILL.md --create-dirs "https://raw.githubusercontent.com/masharratt/claude-flow-novice/main/.claude/cfn-extras/skills/deprecated/cfn-agent-discovery/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/cfn-agent-discovery/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Agent Discovery Skill Compares

Feature / AgentAgent Discovery SkillStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

## Purpose

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Agent Discovery Skill

## Purpose
Automatically discover and catalog available agents in the Claude Flow Novice system by scanning the `.claude/agents/` directory and extracting metadata from agent definition files.

## Key Features
- Scan `.claude/agents/*.md` files
- Extract metadata: name, description, type, keywords/tags
- Generate structured JSON registry
- Categorize agents by loop (Loop 3 or Loop 2)

## Agent Categorization
- **Loop 3 (Implementers)**:
  - Types: coder, developer, backend-dev, react-frontend-engineer, architect, researcher, designer, writer, analyst
- **Loop 2 (Validators)**:
  - Types: reviewer, tester, security-auditor, performance-analyzer, validator
- **Coordinators**: Separate category, not included in agent selection

## Usage
```bash
./.claude/skills/agent-discovery/discover-agents.sh
```

## Output
Generates `.claude/skills/agent-discovery/agents-registry.json` with comprehensive agent metadata.

## Error Handling
- Robust parsing of agent files
- Handles missing or malformed frontmatter
- Generates sensible defaults for missing metadata

## Performance
- Optimized for quick scanning of agent files
- Minimal computational overhead
- Periodic refresh recommended

## Best Practices
- Keep agent definition files well-structured
- Include comprehensive frontmatter
- Use consistent metadata across agent definitions

Related Skills

We are still matching the closest adjacent skills for this page. In the meantime, continue through the full directory.