Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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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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查看安装方法安装前可以查看交给 AI 代理的指令内容。
When orchestrating or executing autonomous software development, follow the
lifecycle below — but the real, runnable implementation is
.agents/graph.md, invoked via /startcycle-graph
(see skills/basic/startcycle-graph/SKILL.md).
This file is a lifecycle summary, not a second spec — if it and graph.md
ever disagree, graph.md is right.
define plan build verify + review ship
┌──────┐ ┌──────┐ ┌────────────┐ ┌──────────────┐ ┌─────────┐
│ Goal │ ─▶ │ Plan │ ─▶ │ UI/UX, │ ─▶ │ Reviewer │ ─▶ │ Shipping│
│ │ │ │ │ Engineering,│ │ (adversarial)│ │ (gate) │
│ │ │ │ │ Media/Event│ │ │ │ │
└──────┘ └──────┘ └────────────┘ └──────────────┘ └─────────┘
Architect TechLead the build nodes no-progress guard requires GO
run in parallel repairs loop back to actually ship
There is no separate /spec, /plan, /build, /test, /review, or
/ship slash command — an earlier version of this file described those and
a Planner_Orchestrator agent that no longer exists (split into Architect +
TechLead; see graph.md's Nodes section for why). The whole lifecycle above
runs through the single /startcycle-graph entry point, which invokes each node
in turn per graph.md's edge table:
| Stage | Node(s) | Reads | Writes |
|---|---|---|---|
| Define + Plan | Architect, TechLead | state.goal | state.artifacts.plan |
| Build | Godmode_UI_UX, Godmode_Engineering, Godmode_Media_EventTech (if needed) | the plan | their own artifacts |
| Verify + Review | Reviewer | build artifacts + contract only, never the implementer's claim | state.findings |
| Ship | Godmode_Shipping | all artifacts, findings | state.gate, requires a human GO |
The one rule, unchanged from graph.md: these nodes never invoke each
other. A dispatcher — the /startcycle-graph workflow, or the main session acting
as one — reads production_artifacts/state.json after each node returns and
decides what runs next.
This file exists so anyone (human or agent) asking "what's the BDB software
lifecycle?" gets the real shape of it, without re-deriving it from graph.md
line by line. It is descriptive, not an alternate entry point.
Optional post-ship step, outside the graph: /design-control-loop sets up a
recurring improvement loop in CI for a quality goal. It is started manually and
the dispatcher never calls it.
/startcycle-graph — don't
hand-simulate the stages here..agents/graph.md for the current node/edge contract before
assuming anything about how a stage works — this file summarizes it, it
does not own it./startcycle-graph rather than
manually working through the stages above.| Rationalization | Reality |
|---|---|
| "The code change was small, so I skipped updating OpenWiki docs." | Every state change must be reflected in the relevant system records. |
| "The ingest script exited without an error, so the memB index must be updated." | Silent failures happen; explicit verification of the side effect is mandatory. |
| "I'll let /startcycle-graph proceed without a defined rollback path." | Proceeding without a rollback path corrupts the workflow integrity and safety. |
| "This file's stage descriptions look complete, so I'll follow them 'in spirit' instead of invoking /startcycle-graph." | Exactly the failure this file was rewritten to stop — see graph.md and SESSION-HANDOVER-v3.13.md for the incident where a duplicated pipeline description caused a model to skip the real dispatcher entirely. |
/spec, /plan, /build, /test, /review, or /ship as
if they are real slash commands in this repo — they are not.Planner_Orchestrator as a current agent — it was split into
Architect and TechLead.state.json (the hand-off pattern
graph.md (F-17) rules out).state.json reflect the expected change.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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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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AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.
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