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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.

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Download .skill Standard format with system_prompt and model_config, ready for any agent framework
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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
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The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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