Skills Plugins MCP Prompt Model 博客 我的中心
生活与工具 #writing #ai #agent

hcom-agent-messaging

Multi-agent communication for AI coding tools. Agents message, watch, and spawn each other across terminals. Use when setting up hcom, troubleshooting delivery, or writing multi-agent scripts.

DeepseekModel 官方收录技能 质量 优秀 · 78 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=aannoo-hcom-skills-hcom-agent-messaging-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name hcom-agent-messaging description Multi-agent communication for AI coding tools. Agents message, watch, and spawn each other across terminals. Use when setting up hcom, troubleshooting delivery, or writing multi-agent scripts. hcom — multi-agent communication for AI coding tools AI agents running in separate terminals are isolated. hcom connects them via hooks and a shared database so they can message, watch, and spawn each other in real-time. curl -fsSL https://github.com/aannoo/hcom/releases/latest/download/hcom-installer.sh | sh hcom claude # or: hcom gemini, hcom codex, hcom opencode, hcom kilo, hcom pi, hcom omp, hcom agy, hcom cursor-agent, hcom kimi, hcom copilot hcom # TUI dashboard what humans can do tell any agent: send a message to claude when codex goes idle send it the next task watch gemini's file edits, review each and send feedback if any bugs fork yourself to investigate the bug and report back find which agent worked on terminal_id code, resume them and ask why it sucks what agents can do Message each other in real-time, bundle context for handoffs. Observe each other: transcripts, file edits, terminal screens, command history. Subscribe to each other: notify on status changes, file edits, specific events. React automatically. Spawn , fork , resume , kill each other, in any terminal emulator. run hcom --help for full command syntax and flags. tool support tool delivery connect claude code (incl. subagents) automatic hcom claude gemini cli (>= 0.26.0) automatic hcom gemini codex automatic hcom codex opencode automatic hcom opencode kilo code automatic hcom kilo antigravity automatic hcom agy cursor automatic hcom cursor-agent any other ai tool manual via hcom listen hcom start (run inside tool) session binding (hcom transcript, hcom r/f by session id) happens on first message or first prompt for all hcom-launched tools. setup if the user invokes this skill without arguments: run hcom status — if "command not found", install first: curl -fsSL https://github.com/aannoo/hcom/releases/latest/download/hcom-installer.sh | sh run hcom hooks add to install hooks for all detected tools restart the AI tool for hooks to activate status output meaning action command not found not installed install via brew install aannoo/hcom/hcom , the curl installer above, or pip install hcom [~] claude tool exists, hooks not installed hcom hooks add then restart [✓] claude hooks installed ready [✗] claude tool not found install the AI tool first troubleshooting "hcom not working" hcom status # check installation hcom hooks status # check hooks specifically hcom relay status # check cross-device relay hooks missing? hcom hooks add then restart tool. still broken? hcom reset all && hcom hooks add # close all ai tool windows hcom claude # fresh start "messages not arriving" symptom diagnosis fix agent not in hcom list agent stopped or never bound relaunch or wait for binding message sent but not delivered check hcom events --last 5 verify @mention matches agent name/tag message reaches more than one agent duplicate base name across tags target the full @tag-name to hit exactly one messages leaking between workflows no thread isolation always use --thread intent system agents follow these rules from their bootstrap: --intent request -> agent always responds --intent inform -> agent responds only if useful --intent ack -> agent does not respond sandbox / permission issues export HCOM_DIR= " $PWD /.hcom" # project-local mode hcom hooks add # installs to project dir workflow scripting place scripts in ~/.hcom/scripts/ as .sh or .py . run with hcom run <name> "task" . see references/script-template.md for the full annotated template, or run hcom run docs --scripts inside an agent. key rules never use sleep — use hcom events --wait or hcom listen never hardcode agent names — parse from grep '^Names: ' in launch output always use --thread — without it, messages leak across workflows always use trap cleanup ERR INT TERM — orphan headless agents run indefinitely always use hcom kill for cleanup (not stop ) — kill also closes the terminal pane always forward --name — hcom injects it, scripts must propagate it always use --go on launch commands — without it, scripts hang on confirmation prompt ( hcom kill never prompts, so --go is optional there) agent topologies topology agents pattern worker-reviewer 2 worker sends result, reviewer reads transcript, sends APPROVED/FIX pipeline N sequential each stage reads previous via hcom transcript , signals via thread ensemble N+1 (judge) N agents answer independently, judge reads all via hcom events --sql hub-spoke 1+N coordinator broadcasts to @tag- , workers report back reactive N hcom events sub triggers agent actions on file edits/status changes files what location database ~/.hcom/hcom.db config ~/.hcom/config.toml logs ~/.hcom/.tmp/logs/ user scripts ~/.hcom/scripts/ with HCOM_DIR set, uses that path instead of ~/.hcom . reference files file when to read references/patterns.md writing multi-agent scripts — 6 tested patterns with full code and real event JSON references/cross-tool.md claude + codex + gemini + opencode + kilo + pi + omp + antigravity + cursor + kimi + copilot collaboration details and per-tool quirks references/gotchas.md debugging scripts — timing, message delivery, intent system, cleanup references/script-template.md writing a new script from scratch — full template with commentary references/scripts/ 6 tested, working example scripts more info hcom -- help # all commands hcom < command > -- help # command details github: https://github.com/aannoo/hcom
Agent 识别该技能的关键词,点击任意一个即可复制。

该技能未提供触发词。

下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。