Claude Cursor Skill

agent-communication

AI DevKit · Exchange information with active Codex, Claude Code, and other AI agents using ai-devkit agent list, detail, and send. Use when an agent needs to find another active agent, read its recent context, send it information, or request information back.

LLM Mart · 0 points · 0 7 0

Virus-scanned Reviewed automatically before listing.

Full trust report

Download codeaholicguy-ai-devkit-skills_agent-communication-ac73d58.zip · 0 KB

codeaholicguy/ai-devkit 1639 257 forks Apache-2.0 Updated 1d ago

Part of codeaholicguy/ai-devkit — 24 skills

Install

skills CLI npx skills add https://github.com/codeaholicguy/ai-devkit/tree/main/skills/agent-communication

Claude Code

claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install codeaholicguy-ai-devkit@llmmart

Git git clone https://github.com/codeaholicguy/ai-devkit.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole codeaholicguy/ai-devkit collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

Agent Communication

Use ai-devkit agent ... to discover and communicate with active agents. If ai-devkit is not on PATH, use npx ai-devkit@latest agent ....

Commands

ai-devkit agent list --json
ai-devkit agent detail --id <agent-name> --json --tail 20
ai-devkit agent send --id <agent-name> "<message>"
ai-devkit agent send --id <agent-name> --wait --timeout 120000 --json "<message>"
<command> 2>&1 | ai-devkit agent send --id <agent-name> --stdin

Notes

list --json returns active agents with fields such as name, type, status, summary, projectPath, and lastActive.
Use the name from list --json as --id. Partial matches are supported, but exact names are safer.
Use detail --json --tail <n> to read recent context from an agent before deciding what to send.
send --wait waits for a reply; add --json when the response should be machine-readable.
send --stdin forwards piped command output or larger text.

Files (ai-devkit)

agents

openai.yaml 227 B

interface:
  display_name: "Agent Communication"
  short_description: "AI DevKit · Message active AI agents"
  default_prompt: "Use $agent-communication to exchange information with another active AI agent through AI DevKit."

SKILL.md 1.3 KB

---
name: agent-communication
description: AI DevKit · Exchange information with active Codex, Claude Code, and other AI agents using ai-devkit agent list, detail, and send. Use when an agent needs to find another active agent, read its recent context, send it information, or request information back.
---

# Agent Communication

Use `ai-devkit agent ...` to discover and communicate with active agents. If `ai-devkit` is not on PATH, use `npx ai-devkit@latest agent ...`.

## Commands

```bash
ai-devkit agent list --json
ai-devkit agent detail --id <agent-name> --json --tail 20
ai-devkit agent send --id <agent-name> "<message>"
ai-devkit agent send --id <agent-name> --wait --timeout 120000 --json "<message>"
<command> 2>&1 | ai-devkit agent send --id <agent-name> --stdin
```

## Notes

- `list --json` returns active agents with fields such as `name`, `type`, `status`, `summary`, `projectPath`, and `lastActive`.
- Use the `name` from `list --json` as `--id`. Partial matches are supported, but exact names are safer.
- Use `detail --json --tail <n>` to read recent context from an agent before deciding what to send.
- `send --wait` waits for a reply; add `--json` when the response should be machine-readable.
- `send --stdin` forwards piped command output or larger text.