Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Change the agent harness itself (AOS, AO or CBS hooks, gates, memory, permissions, delegation, plugins, bootstrap) the safe way: look up the matching harness pattern, design against its gotchas, build with /startcycle and a live trail, check every harness, open a PR after GO. Use for "change a hook", "fix the go-gate", "harness work", "plugin change".
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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 harness change that was designed against the known gotchas, built and reviewed, tested on every harness, and opened as a PR after your GO.
<repo>) — goal, repo, area → run log; default branch: default=$(git -C <repo> symbolic-ref --short refs/remotes/origin/HEAD); default=${default#origin/} (the command prints origin/main); if git -C <repo> branch --show-current equals it, git -C <repo> switch -c feat/<slug> — on a feature branch (gh missing or unauthenticated → log it, give the gh auth login hint, stop)skills/global_config/agentic-harness-patterns/references/ (installed copy: the matching directory):
memory-persistence-pattern.mdpermission-gate-pattern.mdhook-lifecycle-pattern.mdagent-orchestration-pattern.md and task-decomposition-pattern.mdcontext-engineering-pattern.mdskill-runtime-pattern.mdtool-registry-pattern.mdbootstrap-sequence-pattern.mdproduction_artifacts/00_execution_plan.md with agenttrail components, each with a files: line — every listed gotcha is marked addressed or n/a with a reason; a component without files: → back to Architectaos-trail . --plan production_artifacts/00_execution_plan.md --no-open → URL in the run log, before the build nodes start — URL printed; a no-op if startcycle already started the trail (it is safe to run twice)blocking finding.claude/hooks/*.mjs, settings hookshooks.json via installer mergeAntigravityHooks.opencode/plugins/bdb-aos.js.codex/agents/*.toml, ~/.codex/hooks and [features] hooks in ~/.codex/config.toml (both written by installer.js); go-gate firing unverified.opencode/plugins/bdb-aos.js loads the go-gatenpm test or a named manual checknpm test (and node scripts/validate-skills.mjs if skills changed) → fresh output pasted in the run log — exit 0git -C <repo> status --porcelain with the plan's files: lines; unlisted changes outside production_artifacts/ → stop and ask; stage only the listed files (never the run log or production_artifacts/) → SHA in the run log — commit succeeds (any hook failure is reported, never bypassed with --no-verify)production_artifacts/pb-harness-work-<date>-pr.md — body written, nothing postedgit -C <repo> push -u origin <branch>, then gh pr create -R <owner/repo> --base <default> --head <branch> --title "<title>" --body-file <body> (<owner/repo> from git -C <repo> remote get-url origin) — the WAITING FOR GO line names branch, base and title. The run stops here until the human types GO. Where the hook runs, it covers the push only; the PR create is not hooked, so this GO is its only guard.Run log: production_artifacts/pb-harness-work-<date>.md in the repo's start directory, never committed
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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