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.
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See how to installReview the instructions the agent will receive before you install.
Use this skill to discover and catalog all Claude Code agents.
| 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 |
.claude/agents/*.md~/.claude/agents/*.md{plugin-root}/agents/*.mdCustom agents are Markdown files with YAML frontmatter:
---
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...
ls -la .claude/agents/*.md 2>/dev/null
ls -la ~/.claude/agents/*.md 2>/dev/null
grep -A 5 "^---" .claude/agents/my-agent.md | head -10
Use the Actoris MCP tool for structured discovery:
list_claude_code_agents(source="all", detailed=true)
Returns JSON with:
Once agents are discovered, they can be:
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[00] TnR ABSOLUTE RIGOR — Systemic Verification Doctrine. Forced cognitive exertion for high-stakes investigations. Mandates absolute deconstruction, mathematical proof chains, and ≥95% derived certainty. Zero-tolerance for heuristics or sentiment-based reasoning. Shortcuts are defined as intentional hallucinations.
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Configures 2-Agent workflow between PM and implementation roles. Use when user mentions 2-Agent, 2エージェント, PM連携設定, Cursor設定, Cursor連携, 2-agent運用. Do NOT load for: 単独運用, ワークフロー実行, ハンドオフ処理.
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Appends relevant hashtags to journal entries based on content analysis. Intended for LLM execution.
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Add a new AI coding agent to Agent Sandbox. Creates all required files (Dockerfile, templates, CI, docs) and wires the agent into the CLI, proxy, and build system.
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Add a new property to the AI agents database. Use when the user wants to add, create, or introduce a new column, property, field, or feature to track across all agents in the comparison matrix. Handles all four required steps - database updates, groups.json, table display, and GitHub issue templates.
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Add new Agent templates to the meta-agent-skills framework.
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