sundial-org/awesome-openclaw-skills

agent-registry

MANDATORY agent discovery system for token-efficient agent loading. Claude MUST use this skill instead of loading agents directly from ~/.claude/agents/ or .claude/agents/. Provides lazy loading via search_agents and get_agent tools. Use when: (1) user task may benefit from specialized agent expertise, (2) user asks about available agents, (3) starting complex workflows that historically used agents. This skill reduces context window usage by ~95% compared to loading all agents upfront.

First seen Mar 4, 2026

Installation

$ npx skills add sundial-org/awesome-openclaw-skills --skill agent-registry

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 660
License LICENSE
Default branch main
Open issues 12
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 4,524 B
  • docs README.md 14,265 B
  • docs SUMMARY.md 513 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 11 installs

SKILL.md

Agent Registry

Lazy-loading system for Claude Code agents. Eliminates the "~16k tokens" warning by loading agents on-demand.

CRITICAL RULE

NEVER assume agents are pre-loaded. Always use this registry to discover and load agents.

Workflow

User Request → search_agents(intent) → select best match → get_agent(name) → execute with agent

Available Commands

Command When to Use Example
list_agents.py User asks "what agents do I have" or needs overview python scripts/list_agents.py
search_agents.py Find agents matching user intent (ALWAYS do this first) python scripts/search_agents.py "code review security"
searchagentspaged.py Paged search for large registries (300+ agents) python scripts/searchagentspaged.py "query" --page 1 --page-size 10
get_agent.py Load a specific agent's full instructions python scripts/get_agent.py code-reviewer

Search First Pattern

  1. Extract intent keywords from user request
  2. Run search: python scripts/search_agents.py "<keywords>"
  3. Review results: Check relevance scores (0.0-1.0)
  4. Load if needed: python scripts/get_agent.py <agent-name>
  5. Execute: Follow the loaded agent's instructions

Example

User: "Can you review my authentication code for security issues?"

# Step 1: Search for relevant agents
python scripts/search_agents.py "code review security authentication"

# Output:
# Found 2 matching agents:
#   1. security-auditor (score: 0.89) - Analyzes code for security vulnerabilities
#   2. code-reviewer (score: 0.71) - General code review and best practices

# Step 2: Load the best match
python scripts/get_agent.py security-auditor

# Step 3: Follow loaded agent instructions for the task

Installation

Step 1: Install the Skill

Quick Install (Recommended):

# NPX with add-skill (recommended)
npx add-skill MaTriXy/Agent-Registry

# OR npm directly
npm install -g @claude-code/agent-registry

Traditional Install:

# User-level installation
./install.sh

# OR project-level installation
./install.sh --project

What install.sh does:

  1. ✓ Copies skill files to ~/.claude/skills/agent-registry/
  2. ✓ Creates empty registry structure
  3. ✓ Automatically installs questionary Python package (for interactive UI)
  4. ✓ Falls back gracefully if pip3 not available

Note: All installation methods support Python-based migration and CLI tools

Step 2: Migrate Your Agents

Run the interactive migration script:

cd ~/.claude/skills/agent-registry
python scripts/init_registry.py

Interactive selection modes:

  • With questionary (recommended): Checkbox UI with category grouping, token indicators, and paging

- ↑↓ navigate, Space toggle, Enter confirm - Visual indicators: 🟢 <1k tokens, 🟡 1-3k, 🔴 >3k - Grouped by subdirectory

  • Without questionary (fallback): Text-based number input

- Enter comma-separated numbers (e.g., 1,3,5) - Type all to migrate everything

What init_registry.py does:

  1. Scans ~/.claude/agents/ and .claude/agents/ for agent files
  2. Displays available agents with metadata
  3. Lets you interactively select which to migrate
  4. Moves selected agents to the registry
  5. Builds search index (registry.json)

Dependencies

  • Python: 3.7 or higher
  • questionary: Interactive checkbox selection UI with Separator support

The installer automatically installs questionary. If installation fails or pip3 is unavailable, the migration script falls back to text-based input mode.

Manual installation:

pip3 install questionary

Registry Location

  • Global: ~/.claude/skills/agent-registry/
  • Project: .claude/skills/agent-registry/ (optional override)

Agents not migrated remain in their original locations and load normally (contributing to token overhead).