检查 SpecLite canonical source 变更后的派生一致性。用于用户要求 canonical source check、检查 assets/source/speclite、canonical 变更闭环、更新 skill/hook/agent 后验收或扫描 sdlc/core/total 数量。核心能力:对齐 root counts、module-help.csv、hook source、baseline 常量、fixtures、docs 和 packaging manifest。
分析当前 SpecLite workflow 状态并回答使用问题或推荐下一步 skill。用于用户询问 help、next skill、下一步、我现在该做什么或需要流程定位。核心能力:读取 catalog、配置、产物与项目知识,给出有证据的路由建议。
Analyze brownfield backend projects to derive technology stack from code facts and write a Markdown report to a user-specified output directory. Use when user mentions 'tech stack audit', 'backend stack', 'brownfield tech stack', 'code-fact based stack', '技术栈分析', '后端技术栈', '项目技术栈清单', '基于代码事实', '输出到目录', or asks to generate a stack inventory from an existing backend repository. Capable of ecosystem-neutral repository discovery, dependency/version evidence classification, runtime configuration extraction, uncertainty tagging, and evidence-linked Markdown generation.
Analyze brownfield Java and Spring Boot backend projects to derive technology stack from code facts and write a Markdown report to a user-specified output directory. Use when user mentions 'Java tech stack', 'Spring Boot stack', 'Maven dependency audit', 'Java 后端技术栈', 'SpringBoot 技术栈', 'Spring Boot 技术栈', 'Maven 依赖分析', '基于代码事实', or asks to generate a Java backend stack inventory. Capable of Maven/Gradle module discovery, effective dependency and BOM version resolution, Spring ecosystem detection, runtime configuration extraction, and evidence-linked Markdown generation.
Analyze brownfield Node.js backend projects to derive technology stack from code facts and write a Markdown report to a user-specified output directory. Use when user mentions 'Node.js tech stack', 'NestJS stack', 'Express stack', 'package lock audit', 'Node 后端技术栈', 'Node.js 技术栈', 'NestJS 技术栈', 'npm 依赖分析', '基于代码事实', or asks to generate a Node backend stack inventory. Capable of package-manager detection, lockfile version resolution, Node runtime evidence extraction, framework detection, and evidence-linked Markdown generation.
Analyze brownfield Python backend projects to derive technology stack from code facts and write a Markdown report to a user-specified output directory. Use when user mentions 'Python tech stack', 'FastAPI stack', 'Django stack', 'requirements audit', 'Python 后端技术栈', 'FastAPI 技术栈', 'Django 技术栈', 'Python 依赖分析', '基于代码事实', or asks to generate a Python backend stack inventory. Capable of Python packaging detection, lockfile/requirements version resolution, runtime evidence extraction, ASGI/WSGI framework detection, and evidence-linked Markdown generation.
用结构化引导方法推动 LLM 复盘、质疑并改进近期输出。用于用户要求深度追问、Socratic review、first principles、pre-mortem、red team 或提升草稿质量。核心能力:选择方法、迭代提问、整合改进结论。
组织互动式头脑风暴,用多种创意方法扩展与筛选想法。用于用户说 brainstorm、ideate、头脑风暴、帮我发散或需要结构化创意会话。核心能力:设定目标、选择技法、整理 idea、产出后续行动。