agent-mail
Inter-agent communication for multi-agent workflows. Use when multiple agents need to coordinate, share information, or reserve resources.
- Installs
- 40
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/johnlindquist/claude --skill agent-mail- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads agent-mail automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Agent Mail System
Communication system for coordinating multiple agents.
Overview
Agent mail enables:
- Message passing between agents
- File reservation to prevent conflicts
- Session tracking across agents
- Thread-based conversations
Session Management
Start Agent Session
Register agent and get inbox:
# Initialize session
curl -X POST http://localhost:3847/api/session/start \
-H "Content-Type: application/json" \
-d '{
"project_path": "/path/to/project",
"program": "claude-code",
"model": "opus-4",
"agent_name": "agent-1",
"task_description": "Working on auth module"
}'
List Agents
curl http://localhost:3847/api/agents?project_path=/path/to/project
Agent Info
curl http://localhost:3847/api/agents/agent-1?project_path=/path/to/project
Messaging
Send Message
curl -X POST http://localhost:3847/api/mail/send \
-H "Content-Type: application/json" \
-d '{
"project_path": "/path/to/project",
"sender_name": "agent-1",
"to": ["agent-2"],
"subject": "Auth module complete",
"body_md": "## Summary\nAuth implementation is done.\n\n## Files changed\n- src/auth/*",
"importance": "normal",
"ack_required": false
}'
Check Inbox
curl "http://localhost:3847/api/mail/inbox?project_path=/path/to/project&agent_name=agent-1"
Reply to Message
curl -X POST http://localhost:3847/api/mail/reply \
-H "Content-Type: application/json" \
-d '{
"project_path": "/path/to/project",
"message_id": 123,
"sender_name": "agent-2",
"body_md": "Thanks! I'\''ll start on the API integration."
}'
Acknowledge Message
curl -X POST http://localhost:3847/api/mail/ack \
-H "Content-Type: application/json" \
-d '{
"project_path": "/path/to/project",
"agent_name": "agent-2",
"message_id": 123
}'
Search Messages
curl "http://localhost:3847/api/mail/search?project_path=/path/to/project&query=authentication"
File Reservations
Prevent conflicts when multiple agents edit files.
Reserve Files
curl -X POST http://localhost:3847/api/files/reserve \
-H "Content-Type: application/json" \
-d '{
"project_path": "/path/to/project",
"agent_name": "agent-1",
"paths": ["src/auth/*.ts", "src/config.ts"],
"exclusive": true,
"reason": "Implementing authentication",
"ttl_seconds": 3600
}'
Check Reservations
curl "http://localhost:3847/api/files/reservations?project_path=/path/to/project"
Release Files
curl -X POST http://localhost:3847/api/files/release \
-H "Content-Type: application/json" \
-d '{
"project_path": "/path/to/project",
"agent_name": "agent-1",
"paths": ["src/auth/*.ts"]
}'
Thread Management
Get Thread Summary
curl "http://localhost:3847/api/mail/thread/THREAD_ID/summary?project_path=/path/to/project"
Thread Operations
Threads are automatically created when replying to messages.
Coordination Patterns
Task Handoff
Agent 1 completes task:
1. Reserve output files
2. Complete work
3. Send message to Agent 2 with handoff details
4. Release file reservations
Agent 2 receives:
1. Get inbox
2. Reserve input files
3. Continue work
4. Acknowledge receipt
Parallel Work
Coordinator:
1. Reserve coordination files
2. Send tasks to agents
3. Wait for completion messages
4. Merge results
Workers:
1. Reserve assigned files
2. Complete task
3. Send completion message
4. Release files
Review Request
Author:
1. Complete code
2. Send review request to reviewer agents
3. Wait for feedback
Reviewers:
1. Get inbox
2. Review code (read-only, no reservation needed)
3. Send feedback message
Health Check
curl http://localhost:3847/api/health
Message Importance Levels
| Level | Use Case |
|---|---|
low | FYI, status updates |
normal | Standard communication |
high | Needs attention soon |
urgent | Blocking, needs immediate response |
Best Practices
- Reserve before editing - Prevent conflicts
- Use meaningful subjects - Easy inbox scanning
- Acknowledge important - Confirm receipt when
ack_required - Release promptly - Don't hold reservations unnecessarily
- Use threads - Keep related messages together
- Check inbox regularly - Don't miss messages
- Handoff cleanly - Include all needed context
FAQ
What does the agent-mail skill do?
Inter-agent communication for multi-agent workflows. Use when multiple agents need to coordinate, share information, or reserve resources.
How do I install agent-mail?
Run npx skills add https://github.com/johnlindquist/claude --skill agent-mail in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/agent-mail/ (personal) or .claude/skills/agent-mail/ (project).
Which AI agents can use agent-mail?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is agent-mail safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains agent-mail?
It is published by johnlindquist in johnlindquist/claude. It has 40 recorded installs.
More from johnlindquist/claude
gemini-image
johnlindquist/claude
Analyze images using Gemini's vision capabilities. Use for image analysis, text extraction from screenshots, and visual content understanding.
memory
johnlindquist/claude
Persistent knowledge storage using basic-memory CLI. Use to save notes, search memories semantically, and build context for topics across sessions.
brainstorm
johnlindquist/claude
Generate ideas and explore possibilities with AI. Use for creative problem solving, generating alternatives, and expanding on concepts.
deepwiki
johnlindquist/claude
Query DeepWiki for repository documentation and structure. Use to understand open source projects, find API docs, and explore codebases.
Popular ai & agents skills
google-agents-cli-publish
google/agents-cli
This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).
google-agents-cli-eval
google/agents-cli
This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).
skill-creator
anthropics/skills
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
codex-pet
prime-skills/runcomfy-agent-skills
Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.
full-output-enforcement
leonxlnx/taste-skill
Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.
executing-plans
obra/superpowers
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available