home / skills / openclaw / skills / agent-contact-card
This skill helps you discover or publish agent contact cards using a vCard-like format for AI agents, enabling easy agent-to-agent contact.
npx playbooks add skill openclaw/skills --skill agent-contact-cardReview the files below or copy the command above to add this skill to your agents.
---
name: agent-contact-card
description: Discover and create Agent Contact Cards - a vCard-like format for AI agents. Use when you need to find how to contact someone's agent, or help a user set up their own agent contact info at /.well-known/agent-card.
license: CC0-1.0
metadata:
author: davedean
version: "1.0"
homepage: https://github.com/davedean/agent-contact-card
---
# Agent Contact Card
A simple format for publishing how AI agents can be contacted. Like a vCard, but for agents.
## When to Use This Skill
- User asks how to let other agents contact their agent
- User wants to discover how to reach someone else's agent
- You need to contact another agent on behalf of your user
- User mentions "agent-card", "agent contact", or agent-to-agent communication
## Quick Reference
### Discovering an Agent Contact Card
Try fetching `/.well-known/agent-card` on their domain:
```
https://example.com/.well-known/agent-card
```
The file is markdown with YAML frontmatter. Parse the frontmatter for structured channel data, read the prose for routing rules.
### Creating an Agent Contact Card
Create a markdown file with YAML frontmatter:
```markdown
---
version: "1"
human_contact: "+1 555 123 4567"
channels:
email: "[email protected]"
discord: "my-agent#1234"
webhook:
url: "https://example.com/agent/incoming"
method: "POST"
format: "JSON with 'message' field"
capabilities:
- scheduling
- accepts_ical
---
# My Agent
If you're a human, call the number above.
If you're an agent:
- For scheduling requests, use Discord
- For urgent matters, email with "URGENT" in subject
- Response time: within a few hours
```
Host this at `/.well-known/agent-card` on the user's domain.
## Format Details
### Required Fields
| Field | Description |
|-------|-------------|
| `version` | Spec version. Currently `"1"` |
### Recommended Fields
| Field | Description |
|-------|-------------|
| `human_contact` | Phone/email for humans to reach the human |
| `channels` | Contact channels for agents (see below) |
### Optional Fields
| Field | Description |
|-------|-------------|
| `name` | Display name for this agent configuration |
| `last_updated` | ISO date when card was last modified |
| `capabilities` | What this agent can do (e.g., `["scheduling", "accepts_ical"]`) |
| `agents` | Named agents if multiple (see Multi-Agent section) |
### Channels
Channel names are freeform. Common ones:
- `email` - Email address
- `discord` - Discord username
- `webhook` - HTTP endpoint for structured messages
- `signal` - Signal phone number
- `telegram` - Telegram username
For webhooks, provide details:
```yaml
channels:
webhook:
url: "https://example.com/agent/incoming"
method: "POST"
auth: "Bearer token in Authorization header"
format: "JSON with 'message' and 'from' fields"
```
### Multi-Agent Setups
List multiple specialized agents:
```yaml
agents:
- name: "Calendar Agent"
handles: ["scheduling", "availability"]
channel: discord
id: "cal-agent#1234"
- name: "Support Agent"
handles: ["technical questions"]
channel: webhook
id: "https://example.com/support"
```
The markdown body should explain routing between them.
## Privacy Tiers
Different URLs for different access levels:
| Tier | URL Pattern | Access |
|------|-------------|--------|
| Public | `/.well-known/agent-card` | Anyone |
| Named | `/.well-known/agent-card/{name}` | Know the name |
| Private | `/{random-uuid}/agent-card.md` | Shared URL only |
Each tier can expose different channels and capabilities.
## Discovery Methods
1. **Well-known URL**: Check `https://domain/.well-known/agent-card`
2. **vCard extension**: Look for `X-AGENT-CARD` field in contact cards
3. **Ask the human**: Request the URL directly
## Reading an Agent Card
When you fetch an agent card:
1. Parse YAML frontmatter for structured data
2. Read markdown body for natural language routing rules
3. Choose appropriate channel based on your purpose
4. Follow any authentication requirements mentioned
## Test It
Here's a live demo you can test:
```
https://city-services-api.dave-dean.workers.dev/.well-known/agent-card
```
This is a fictional "City of Millbrook" tip line. Fetch the card, then try POSTing to the webhook endpoint. Your experience may vary depending on what you say.
## Full Specification
See [references/SPEC.md](references/SPEC.md) for the complete specification.
## Examples
See [references/EXAMPLES.md](references/EXAMPLES.md) for more complete examples.
This skill discovers and creates Agent Contact Cards — a vCard-like format for AI agents that publishes how agents can be contacted. It helps fetch /.well-known/agent-card from a domain, parse the YAML frontmatter and markdown body, and generate valid agent-card files for hosting. Use it to enable agent-to-agent communication and to expose routing and channel details for humans and agents.
The skill fetches the well-known agent-card URL (e.g., https://example.com/.well-known/agent-card), extracts YAML frontmatter for structured fields (version, channels, capabilities, agents) and reads the markdown body for routing rules and prose. It validates required fields, recommends channel metadata for webhooks and multi-agent setups, and can produce ready-to-host markdown with YAML frontmatter. It also suggests discovery strategies (well-known URL, vCard extension, or asking the human) and privacy tier patterns.
What fields are required in an agent-card?
Only version is required (currently "1"). Channels and human_contact are recommended but not mandatory.
Where should I host the card?
Host the markdown file at /.well-known/agent-card on your domain for public discovery; use named or private URLs for restricted access.
How do I include multiple agents?
Add an agents list in YAML with name, handles, channel, and id for each specialized agent, and clarify routing in the markdown body.