Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Write a handover note for a colleague from a project folder's state: done, open, risky, next 3 steps, where things live. Sent only after GO.
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实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
What you get: a handover note for a colleague from the state of a project folder.
The handover note is a recap page — scaffold it and let the colleague point at what to clarify:
aos-plan-canvas new recap <plan-dir> # scaffold the plan folder
aos-plan-canvas open <plan-dir> --mode bdb-plan-builder # render and open in the browser
aos-plan-canvas await <plan-dir>/plan.mdx # keep listening until the verdict
The approved plan is the artifact: this template has no components, so there is no agenttrail map. The full loop: the plan-canvas skill — a plain CLI, identical on every harness.
./pb-handover-<date>/run-log.md — the folder existsgh (external) is installed: your open pull requests for this repo → list of files, recent commits and open PRs in run-log.md — if gh is missing, skipped and logged[memB] — skipped and logged if memB is not installedhandover.md: done, open, risks, next 3 steps, where things live — every open item cites a file, commit or PR; nothing invented, unknown is ?handover.md in full and apply your edits until you approve — approval logged? blocks sending until you fill it) and the full text first. The run stops here until the human types GO. The GO covers exactly the recipient and message shown and nothing else; a different or added recipient needs a fresh GO. The go-gate hook does not guard sending: this [GO] is the only guard.Run log: run-log.md in the save folder. One line per step as it completes (N. done|skipped|failed — file — check result), and WAITING FOR GO: <step> at the gate. Anything other than the literal GO (case-insensitive) is not a GO. If a check fails, stop, write the failure into the log and tell the user.
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Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
中文简介正在准备中。当前显示原文说明。
Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
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How BDB structures multi-agent build pipelines: the seven-node dispatcher graph /fabric-graph runs. Use for lifecycle framing.
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Design tools for AI agents. Use when building agent tools: covers schema, error handling, and avoiding hallucination and silent failure.
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Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
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agenttrail: the live map of a multi-agent build. Use when a /fabric pipeline runs, a plan-canvas approve lands, or agents run for a human to watch.
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