Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
日本語の概要は準備中です。原文の説明を表示しています。
Delegate a task to another installed CLI harness (Antigravity/agy, OpenCode, Codex) from inside an AOS repo. Use this instead of shelling out to that CLI directly whenever one is installed — it wraps the wrapper flags for you and streams live tool-call telemetry to agenttrail, which is why the board updates in real time. Reach for it any time you're about to delegate work to another harness.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
mcsc (mcps/mcsc/) is AOS's own cross-harness delegation engine. It is the
mandatory path for delegating work to another CLI harness inside an
AOS-installed repo — not a Claude-Code-only convenience.
Three separate, harness-specific delegation paths already exist (the Claude
Code plugins antigravity:delegate, opencode:opencode-rescue,
codex:codex-rescue — see AGENTS.md's "Delegating to an external CLI"). Those
are fine for interactive delegation from a Claude Code session, but they are
Claude-Code-only, and none of them tell agenttrail's live board what is
happening. mcsc's adapters
(mcps/mcsc/packages/core/src/adapters/{agy,codex,opencode}.js) wrap each CLI
once, work from any harness, and call emitTrail() around every delegated run
— SessionStart/SessionEnd, plus live PreToolUse/PostToolUse where the
underlying CLI supports structured/streaming output — so a delegated run shows
up on the board the moment it starts, without any extra setup.
Skipping mcsc doesn't just lose convenience — it makes the delegated agent invisible to anyone watching the live map, and to anyone in this repo who asks "what are the other agents doing right now."
Once installed (mcsc in mcp_config.json, entry point
mcps/mcsc/server.js), it registers up to four MCP tools — one per
installed CLI, only exposed when that CLI is detected as ready in the local
inventory, and never offered back to a caller that's already running as that
same CLI (MCSC_CALLER env var, avoids self-delegation loops):
delegate_agy — { prompt, model? } → Antigravity / Gemini. READ-ONLY until tested: use it for research, review and analysis, never for edits. The adapter can pass --mode accept-edits (write: true), but that path is untested and not part of the contract.delegate_opencode — { prompt, model?, variant? } → OpenCodedelegate_codex — { prompt, model? } → Codexdelegate_smart — { task_type, prompt } → reads rulebook.yaml (or the
bundled default) and picks the best CLI for that task type automaticallyCall the tool that matches the harness you want, with a complete,
self-contained prompt — the adapter underneath handles the CLI's actual
flags, streams tool-call telemetry to agenttrail as it runs, and returns the
final output. variant (OpenCode only) maps to --variant (reasoning
effort).
Every adapter sets MCSC_DEPTH to the caller's depth plus one in the child's
environment. An mcsc server that starts with MCSC_DEPTH >= 1 lists no tools and
refuses every call. A delegated agent therefore cannot delegate again, so
agy -> codex -> agy chains are impossible. MCSC_CALLER alone only excluded the
caller's own CLI and was overwritten by each adapter.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
日本語の概要は準備中です。原文の説明を表示しています。
Reference for how BDB structures autonomous software engineering work — the seven-node dispatcher graph (Architect, TechLead, UI/UX, Engineering, Media/EventTech, Reviewer, Shipping) that /startcycle-graph actually runs. Use when you need the high-level lifecycle framing without inventing your own process.
日本語の概要は準備中です。原文の説明を表示しています。
Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling.
日本語の概要は準備中です。原文の説明を表示しています。
Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
日本語の概要は準備中です。原文の説明を表示しています。
agenttrail: live map of a multi-agent build in the browser: which plan component is being worked on, by which agent or harness, what is done and what is stuck. Use when a multi-agent pipeline starts (/startcycle, /startcycle-graph, /teamwork-preview) or after a plan-canvas approve, when the user asks to see what the agents are doing ("live map", "build board", "who is running now"), or by yourself whenever a multi-agent run is under way — no user prompt needed.
日本語の概要は準備中です。原文の説明を表示しています。