Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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hybridlabor-api/aos62026年10月16日 更新
免费在 GitHub 公开
launch-rhino
Start a single Rhino MCP session. Accepts a version argument (e.g. `8`, `WIP`) and an optional explicit port. Walks forward from `10500` to pick a free port if none was given. On macOS this opens a new document in the running Rhino; on Windows it launches a new Rhino process. Use when the user asks to start a Rhino MCP session — for N parallel Rhinos use `/launch-rhinos` instead.
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查看安装方法包含的文件（1）
- SKILL.md847 B
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
Launching a Rhino MCP session
Follow the procedure in the /launch-rhino slash command. It owns the full launch flow — port selection, OS branch, listener wait, and reporting. Pass through the version argument (8, WIP, 9); default to 8. If a port was provided as the second argument, pass that through too and skip the port probe. Relay the assigned port back to the user.
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同一仓库的技能
Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
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hybridlabor-api/aos62026年10月16日 更新
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.
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hybridlabor-api/aos62026年10月16日 更新
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.
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hybridlabor-api/aos62026年10月16日 更新
Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
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hybridlabor-api/aos62026年10月16日 更新
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.
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hybridlabor-api/aos62026年10月16日 更新