Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Experimental workflow for reviewing configured repositories' pull requests. Use for manual or scheduled PR triage, approval, or merge decisions.
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설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
This skill reviews a filtered queue. For one long-lived, explicitly authorized
PR, use factory-babysit-pr. Read the filters and independent action policies
from .agent-factory/config.yaml.
Apply the optional skill_prompts.factory-review-prs entry as additional
project guidance; it does not replace this skill or authorize an action
disabled by policy.
For each candidate PR:
Unavailable or partial state is unknown, never a clean result.
| Action | Proceed only when |
|---|---|
| Review | The PR matches configured filters and has not already had the required current review. |
| Reply or other PR write | Draft only. Put the exact text in the report; posting needs the user's GO. |
| Approve | Report whether approval conditions hold on the exact head. Approving needs the user's GO for that PR. |
| Merge | Report merge readiness only. gh pr merge is blocked by the GO gate unless the user sends a literal GO. |
Host-level mergeability, one green check, or a bot approval does not prove all gates passed. Re-read the exact head and live state immediately before an approval or merge. Restart a configured soak if the head or a gate changes.
For each PR, state the decision and evidence. List skipped, unavailable, and held PRs with the reason. Keep review findings separate from approvals, replies, and merge decisions.
.agent-factory/config.yaml. If it is missing, stop and
ask the user; never create it or guess sources.git push, gh pr merge,
gh release create and every external write (reply, comment, approval, close,
status change, notification) need the user's literal GO for that exact action.
Prepare the change or draft text, show it, and stop.아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
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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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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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Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
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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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