Agent Ready Ard

Community

fabricioctelles

agent-ready-ard

Sub-skill: Implement ARD (Agentic Resource Discovery). Publish /.well-known/ai-catalog.json so agents can discover MCP servers, A2A agents, skills and API tools (agenticresourcediscovery.org / ai-catalog).

Overview

Publisher	fabricioctelles
Repository	`skills`
Skill name	`agent-ready-ard`
Stars	87
Forks	7
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository Homepage

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by fabricioctelles on GitHub. Read the source before you install it.

Installation

Install the Agent Ready Ard 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.
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/fabricioctelles/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/agent-ready-cloudflare/ard .claude/skills/agent-ready-ard

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

Use it in TypingMind

Enable Agent Ready Ard 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 Ready Ard 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 Ready Ard 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.

Implement ARD (Agentic Resource Discovery)

Publish a capability manifest so agents can discover your MCP servers, A2A agents, skills and API tools, per the ARD spec and the ai-catalog data model.

The ARD spec is a v0.9 draft, so the scanner validates structure only and reports non-conformant identifiers and media types without failing the check.

Note that specVersion refers to the ai-catalog data model, not the ARD spec version, which is why the example below reads 1.0. The scanner only requires it to be a non-empty string.

Requirements

Serve /.well-known/ai-catalog.json from the origin root with Content-Type: application/json, HTTP 200, and Access-Control-Allow-Origin: *
Include a specVersion string and a non-empty entries array
Add a host object with displayName and a stable identifier
Each entry needs an identifier, a displayName, and a type media type
Each entry needs exactly one of url or data — never both, never neither (spec §3.4)
Use urn:air:<your-fqdn>:<namespace>:<name> for entry identifiers
Add 2-5 representativeQueries per entry so registries can build semantic embeddings

Example

json
{
  "specVersion": "1.0",
  "host": {
    "displayName": "Example Systems",
    "identifier": "did:web:example.com"
  },
  "entries": [
    {
      "identifier": "urn:air:example.com:server:weather",
      "displayName": "Weather Telemetry Server",
      "type": "application/mcp-server-card+json",
      "url": "https://example.com/mcp/weather.json",
      "representativeQueries": [
        "what is the wind speed in Chicago",
        "get the 5-day forecast for Seattle"
      ]
    }
  ]
}

Additional discovery mechanisms

The well-known path is the primary mechanism. Any of the following can point agents at a manifest hosted elsewhere (spec §6.1), and the scanner reports which ones you publish:

robots.txt: add an Agentmap: https://example.com/ai-catalog.json directive
HTML: add <link rel="ai-catalog" href="/.well-known/ai-catalog.json"> to <head>
DNS: publish a _catalog._agents.example.com TXT record containing url=https://example.com/.well-known/ai-catalog.json
DNS: publish a _search._agents.example.com SRV record to advertise a semantic search endpoint (reported only; the scanner never queries it)

Validate


POST https://isitagentready.com/api/scan
Content-Type: application/json

{"url": "https://YOUR-SITE.com"}

Check that checks.discovery.ard.status is "pass".

Frequently asked questions

What does the Agent Ready Ard AI skill do?

Why use Agent Ready Ard on TypingMind?

Because you install it once and use it with any model. Agent Ready Ard 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 Ready Ard in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/fabricioctelles/skills/tree/main/skills/agent-ready-cloudflare/ard. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agent Ready Ard?

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 Ready Ard?

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

Is the Agent Ready Ard AI skill free?

Yes. It is published on GitHub by fabricioctelles under the Apache-2.0 license. 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

Implement ARD (Agentic Resource Discovery)

Requirements

Example

Additional discovery mechanisms

Validate

Frequently asked questions

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