Implement ARD (Agentic Resource Discovery)
SkillAI & modelsLets your agent help you publish a catalog file on your website so AI agents can find your tools.
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Implement ARD (Agentic Resource Discovery) skill
About this skill
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).
What this skill tells your AI
The instructions your AI receives, as published by fabricioctelles/skills in skills/agent-ready-cloudflare/ard/SKILL.md and read by ahel’s review.
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.jsonfrom the origin root withContent-Type: application/json, HTTP 200, andAccess-Control-Allow-Origin: * - Include a
specVersionstring and a non-emptyentriesarray - Add a
hostobject withdisplayNameand a stableidentifier - Each entry needs an
identifier, adisplayName, and atypemedia type - Each entry needs exactly one of
urlordata— never both, never neither (spec §3.4) - Use
urn:air:<your-fqdn>:<namespace>:<name>for entry identifiers - Add 2-5
representativeQueriesper entry so registries can build semantic embeddings
Example
{
"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.jsondirective - HTML: add
<link rel="ai-catalog" href="/.well-known/ai-catalog.json">to<head> - DNS: publish a
_catalog._agents.example.comTXT record containingurl=https://example.com/.well-known/ai-catalog.json - DNS: publish a
_search._agents.example.comSRV 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".
Signals
- GitHub stars
- 98
- Forks
- 8
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
agent-ready-ard- Source
- github.com/fabricioctelles/skills
github.com/fabricioctelles/skills
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