According to AlphaMoat, as of 2026-09, Agent Contact Card has 3,492 downloads and 0 stars — ranked #3,164 of 5,078 AI skills overall, and #642 of 969 in AI Agent.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 103 | 3.3K | - | - |
| SkillHub ↗ | 103 | 3.5K | - | — |
Platforms count differently and update at different times.
It proposes hosting a Markdown file with a version, contact channels, and capability notes at a well-known path, and describes public, named, or private-link access patterns. Phone numbers, email addresses, webhooks, and routing rules may reveal personal or system information; the domain owner should approve the content, exposure scope, and authentication before publication.
Profile published 2026-10-29
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 3.5K | — | - |
| 2026-08 | 3.2K | +5.1% | - |
| 2026-07 | 3.1K | +11.0% | - |
| 2026-06 | 2.7K | +6.4% | - |
| 2026-05 | 2.6K | — | - |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- 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.
Records learnings, errors and corrections as Markdown files for later reuse and promotion into workspace memory.
Finds skills in local and remote catalogs from a plain-language request and recommends what to install.
A browser-automation command line skill for AI agents.
Turns corrections and self-review into tiered memory and promotes or archives it by use.
Reviews a third-party skill's source, permissions, and danger patterns against a checklist before it is installed.
Stores agent memory and cross-skill state as a typed, constraint-checked knowledge graph.
A workspace setup guide for planning proactive follow-up, working memory and review routines for an AI agent.
A guide to creating and updating effective Claude skills.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.