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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/mauricioperera-agent-registry
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About
Use cases: documents, backend, agent-building
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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- No tools found
- Secrets
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/agent-registry
What's inside
- Skill name
agent-registry- Description
- Dynamic agent registry via js-doc-store-server. Store, version, and discover subagent definitions in a database instead of static markdown files.
- License
- MIT
- Instructions
- 143 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Agent Registry — Dynamic Agent Discovery
This skill extends the subagent pattern with a **hybrid discovery model**: agents live both on the filesystem (`~/.pi/agent/agents/*.md`) and in a `js-doc-store-server` table. When a subagent task runs, pi discovers agents from **both sources** and merges them.
## Problem with Static Filesystem Agents
| Issue | Consequence |
|-------|-------------|
| Agents scattered across machines | No portability between workspaces |
| No versioning | Agent definitions evolve but files don't track it |
| No dynamic updates | Must restart pi to see new agents |
| No sharing | Can't reuse agent definitions across projects |
## The Registry Pattern
```
Filesystem (~/.pi/agent/agents/)
├── scout.md
├── planner.md
├── reviewer.md
└── worker.md
js-doc-store-server (localhost:3000)
└── table: agents
├── scout → content: full markdown
├── planner → content: full markdown
├── reviewer → content: full markdown
├── worker → content: full markdown
└── custom → user-defined agents
```
## Schema
```json
{
"tableName": "agents",
"columns": [
{ "name": "name", "type": "text", "required": true },
{ "name": "description", "type": "text" },
{ "name": "version", "type": "text" },
{ "name": "tags", "type": "text" },
{ "name": "model", "type": "text" },
{ "name": "tools", "type": "text" },
{ "name": "content", "type": "text", "required": true },
{ "name": "source", "type": "text" }
]
}
```
## Agent Markdown Format
The `content` field stores the **complete markdown** including frontmatter:
```markdown
---
name: scout
description: Fast codebase reconnaissance
tools: read, grep, find, ls, bash
model: qwen3.6:latest
---
You are a scout. Quickly investigate a codebase and return structured findings...
```
## How Discovery Works
When the `subagent` tool executes:
1. **Filesystem scan** — loads `~/.pi/agent/agents/*.md` (user-level)
2. **Project scan** — loads `.pi/agents/*.md` (project-level, if scope allows)
3. **Server query** — `POST /admin/query { tableName: "agents", filter: {} }`
4. **Merge** — server agents overlay filesystem agents by name (server wins)
Server agents have `source: "registry"` and `filePath: "registry://{name}"`.
## Workflow: Register a New Agent
```typescript
// 1. Discover by topic (optional)
const results = await arch_query({
tableName: "agents",
filter: { tags: { $regex: "review" } }
});
// 2. Register new agent from conversation
await arch_insert({
tableName: "agents",
data: {
name: "security-auditor",
description: "Audits code for security vulnerabilities",
version: "1.0.0",
tags: "security,audit,subagent",
model: "qwen3.6:latest",
tools: "read, grep, find, ls, bash",
content: `---\nname: security-auditor\n...\n---\n\nYou are a security auditor...`,
source: "registry"
}
});
// 3. Verify
const all = await arch_query({ tableName: "agents", filter: {} });
```
## Tool Combinations for Agent Management
| Task | Tool Sequence |
|------|---------------|
| **Discover by topic** | `arch_query` → filter `tags: { $regex: "topic" }` |
| **Load full agent** | `arch_query` → filter `name: "exact-name"` → read `.content` |
| **Register new agent** | `arch_insert` into `agents` table |
| **Update agent version** | `arch_update` with `$set: { version, content }` |
| **List all agents** | `arch_query` with empty filter |
| **Delete obsolete agent** | `arch_remove` with filter `{ name: "agent-name" }` |
## Server-Side Fallback
If the server is unreachable or the token is expired, discovery falls back silently to filesystem-only agents. No error is thrown — the subagent continues working with whatever agents are available.
## BenefitsFrom MauricioPerera/pi-extension-data-architect, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- May 12, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Done for you
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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- launches shipped
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- media placements
- founders on every account
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- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
agent-registry skill. Agent Mart. https://agentmart.dev/skills/mauricioperera-agent-registry (last updated 2026-10-24)