Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Fix red CI or set up GitHub Actions end to end: read the failing run, find the root cause, patch and validate the workflow, push only after GO, and watch the run go green on the pushed commit. Use for "CI is red", "the build fails on GitHub", "set up CI for this repo", "fix the workflow".
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安装前可以查看交给 AI 代理的指令内容。
What you get: a green GitHub Actions run on a pushed commit, with the cause and the fix written down.
gh run list --limit 5 (gh missing, not authenticated, or no GitHub remote → log it, give the gh auth login / remote hint, stop) and gh run view <id> --log-failed excerpt in the run log — failing job and step named; no workflows exist → go to step 4 (setup path; skips steps 2, 3 and 6, and step 7 runs the new workflow's commands locally)deja fix result in the run log — prior fix found, or "none".github/workflows/*.yml diff — diff touches only the causeci: <cause> — stage only the changed .github/workflows/* files (never the run log) → SHA in the run log — commit succeeds (any hook failure is reported, never bypassed with --no-verify)<id> from gh run list --commit <sha> --limit 1 --json databaseId (wait until it exists), then gh run watch <id> --exit-status — gh run list --commit <sha> --json conclusion -q '.[0].conclusion' equals success; otherwise back to step 3, at most 2 cycles (each push behind a fresh GO at step 9), then stop and escalateRun log: production_artifacts/pb-ci-fix-<date>.md
Rules
N. done|skipped|failed — artifact — check result) and WAITING FOR GO: <step> at each gate.还没有评价。欢迎分享你的使用感受。
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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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