bmad-build-auto
One iteration of an unattended development loop. Use when invoked by name.
- License 许可
- MIT
- 最近更新
- 2026-08-25
- Stars
- ★ 1
- Forks
- 2
01 前言 Front Matter
- name
- bmad-build-auto
- description
- One iteration of an unattended development loop. Use when invoked by name.
02 资源文件 11
- 参考文档compile-epic-context.md2.9 KB
- 其他customize.toml3.9 KB
- 参考文档references/deletion-check.md1009 B
- 参考文档review-prompts/edge-case-hunter.md5.6 KB
- 参考文档review-prompts/verification-gap.md9.1 KB
- 参考文档spec-template.md4.1 KB
- 参考文档step-01-clarify-and-route.md10.2 KB
- 参考文档step-02-plan.md3.3 KB
- 参考文档step-03-implement.md3.2 KB
- 参考文档step-04-review.md9.5 KB
- 参考文档workflow.md5.5 KB
03 SKILL.md 正文
Run the following command exactly once without changing the current working directory. Replace {project-root} with the absolute path to the project root and {skill-root} with the absolute path to this skill's directory:
uv run --no-cache "{project-root}/_bmad/scripts/render_skill.py" --project-root "{project-root}" --skill "{skill-root}"
- On success, read and follow the one absolute
workflow.mdinstruction printed to stdout. - On failure (including
uvbeing unavailable), report the command output and HALT. Do not run any workflow source directly.
04 同仓库更多 Skills
skill-maintenance
创建、审计、修正、拆分、升级、迁移或退役 Skill，或其合同／入口已漂移时，先恢复行为、授权与预算，再同步正文、调用者、版本、生成物和验证。普通业务维护、纯格式修正、承载位置未定的纠正不触发。Use for explicit Skill maintenance, not carrier choice.
skill-appraisal
判定一个 Skill 组该不该进当前装配、归哪些事项、与谁重叠，或对已判定过的组按节拍复核。三种进入：首次判定新候选、补判早已在用但从未判定过的组、按失效条件复核。判定单位是组不是单个 Skill；产出必须留下失效条件与下次最少复核步骤。用于外部来源、他人所写、疑似重复或从未被判定过的组。从零设计新 Skill 用 agent-skill-design；已定下后的改造、迁移、退役用 skill-maintenance；只要外部标准与版本事实用 capability-lifecycle；对象是 knowledge 用 knowledge-maintenance。本 Skill 只产出判定，不安装、不写配置、不改 profile。Appraise a Skill group, or recheck an adopted one. Judgement only, never installs.
self-improvement
当用户指出 Agent 漂移、误解、重复犯错，要求把任务经验固化为系统改进，或讨论只增概念却不减关键未知、形成决定或可检验资产时，只暂停依赖被推翻假设的路径，重锚原问题、持久记录纠正、诊断原因，并在授权内改进入口提示词或 Skill。最小实验不能验收产品交付；普通一次性错误、偏好或任务内修复不触发完整自我优化。Use for reported drift, misunderstanding, repeated mistakes, durable Agent improvement, or abstraction loops without decisions or testable assets. Freeze only affected paths and avoid a full detour for ordinary one-off corrections.
resource-observability
当用户查询 Codex／Claude 账户额度、重置时间、Codex 重置券、单 Session Token，或高成本／多 Agent 工作要决定启动、并行、降级、延后或停止时，按需读取 Orca 账户快照与固定 ccusage 回执，区分状态、来源、可信度和未知值。不要用于低风险任务、轮询、自动调度／消费权益、账单推断或长期保存快照。Use for account capacity, reset times, credits, session tokens, or consequential resource decisions. Skip routine work, polling, scheduling, automatic credit use, billing inference, and durable snapshot storage.
orchestrated-collaboration
当用户明确要求多 Agent／多 Session／跨 Provider 协作、任务已授权委派，或活动 Session 发生共享写入碰撞时，建立目标来源、排他所有权、可追踪交付、独立验收与综合；按共享资源和 Issue 子树确定唯一协调者，只冻结重叠或受推翻假设影响的路径。协调者参与高价值多交付件能力的拆分或设计时，由未参与者复核父目标；使用已选后端，选 Orca 时动态读 orchestration 指南。不要因复杂、额度或空闲 Agent 擅自并行，也不把试用变成长期依赖。Use for authorized multi-agent work, cross-session delegation, or shared-write collisions. Establish exclusive ownership, traceable delivery, independent acceptance, and bounded synthesis; add parent-goal review when required and avoid invented coordination or permanent platform commitments.
knowledge-maintenance
用于多来源调研、可重复实验、会影响权威／Agent 配置／重要决定的研究，或用户要求复用、复核、更新当前知识时：先找已认可知识和失效条件，只补变化、冲突与缺口，再经价值门和可信门更新。不用于低成本一次性事实、原始材料／研发过程留存、私域结构设计、定时全量重查或旧仓导入。Use before multi-source research, repeatable experiments, consequential authority/configuration decisions, or explicit knowledge reuse. Skip cheap one-off facts, raw retention, private architecture, scheduled full re-research, and bulk legacy imports.