Agent Registry

Organization

sundial-org

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.

Overview

Publisher	sundial-org
Repository	`awesome-openclaw-skills`
Skill name	`agent-registry`
Stars	664
Forks	97
Bundled files	10
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
10 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by sundial-org on GitHub. Read the source before you install it.

Installation

Install the Agent Registry AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/agent-registry
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git /tmp/awesome-openclaw-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-openclaw-skills/skills/agent-registry .claude/skills/agent-registry

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Registry in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agent Registry on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agent Registry is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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"`
`search_agents_paged.py`	Paged search for large registries (300+ agents)	`python scripts/search_agents_paged.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

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

Example

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

bash
# 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):

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

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

Traditional Install:

bash
# User-level installation
./install.sh

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

What install.sh does:

✓ Copies skill files to ~/.claude/skills/agent-registry/
✓ Creates empty registry structure
✓ Automatically installs questionary Python package (for interactive UI)
✓ 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:

bash
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:

Scans ~/.claude/agents/ and .claude/agents/ for agent files
Displays available agents with metadata
Lets you interactively select which to migrate
Moves selected agents to the registry
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:

bash
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).

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Agent Registry AI skill do?

Why use Agent Registry on TypingMind?

Because you install it once and use it with any model. Agent Registry is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agent Registry in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/agent-registry. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Agent Registry?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agent Registry?

As many as you like. As long as a model supports skills, you can use Agent Registry with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agent Registry AI skill free?

It is published on GitHub by sundial-org. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Agent Registry

CRITICAL RULE

Workflow

Available Commands

Search First Pattern

Example

Installation

Step 1: Install the Skill

Step 2: Migrate Your Agents

Dependencies

Registry Location

Bundled files

Frequently asked questions

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