agent-discovery
Discovers all Claude Code agents in the system including built-in, plugin, project, and user-level agents. Use when you need to find which agents are available, understand the agent ecosystem, or prepare agents for Actoris registration.
Best use case
agent-discovery is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Discovers all Claude Code agents in the system including built-in, plugin, project, and user-level agents. Use when you need to find which agents are available, understand the agent ecosystem, or prepare agents for Actoris registration.
Teams using agent-discovery 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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/agent-discovery/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How agent-discovery Compares
| Feature / Agent | agent-discovery | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Discovers all Claude Code agents in the system including built-in, plugin, project, and user-level agents. Use when you need to find which agents are available, understand the agent ecosystem, or prepare agents for Actoris registration.
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.
Related Guides
SKILL.md Source
# Agent Discovery Skill
Use this skill to discover and catalog all Claude Code agents.
## What You Can Find
### Built-in Agents (Always Available)
| Agent | Model | Purpose |
|-------|-------|---------|
| Explore | haiku | Fast codebase exploration |
| Plan | sonnet | Implementation planning |
| general-purpose | sonnet | Complex multi-step tasks |
| claude-code-guide | sonnet | Claude Code documentation |
| statusline-setup | haiku | Status line configuration |
### Custom Agent Locations
1. **Project Agents**: `.claude/agents/*.md`
2. **User Agents**: `~/.claude/agents/*.md`
3. **Plugin Agents**: `{plugin-root}/agents/*.md`
### Agent File Format
Custom agents are Markdown files with YAML frontmatter:
```yaml
---
name: my-agent
description: What this agent does and when to use it
tools: Read, Write, Bash # Comma-separated
model: sonnet # sonnet, opus, haiku, or inherit
skills: skill1, skill2 # Optional
---
# Agent Instructions
Your agent prompt goes here...
```
## Discovery Commands
### Find Project Agents
```bash
ls -la .claude/agents/*.md 2>/dev/null
```
### Find User Agents
```bash
ls -la ~/.claude/agents/*.md 2>/dev/null
```
### Parse Agent Metadata
```bash
grep -A 5 "^---" .claude/agents/my-agent.md | head -10
```
## MCP Integration
Use the Actoris MCP tool for structured discovery:
```
list_claude_code_agents(source="all", detailed=true)
```
Returns JSON with:
- Total agent count by source
- Agent name, description, tools, model
- File path for custom agents
## After Discovery
Once agents are discovered, they can be:
1. Registered with Actoris via `register_agent_with_actoris`
2. Monitored for trust scores
3. Tracked in the Darwinian leaderboard
4. Included in AGDP calculationsRelated Skills
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