Coding
Builds evidence-only Kimball semantic layers from APIs, CLIs, or tables with an HTML decision workbench; emits OKF/YAML. Use this skill when users request semantic layers, dimensional models, ontology, OKF, 语义层、接口转语义、维度建模或本体.
Builds evidence-only Kimball semantic layers from APIs, CLIs, or tables with an HTML decision workbench; emits OKF/YAML. Use this skill when users request semantic layers, dimensional models, ontology, OKF, 语义层、接口转语义、维度建模或本体.
把接口契约（REST/OpenAPI、CLI、表/DDL）一次通过地建成受治理语义层。四个阶段严格串行，每阶段一个参考文件、一组退出条件——满足才前进，不满足不硬闯：
Phase 1 Ingest → Phase 2 Review → Phase 3 Emit → Phase 4 Verify
ingest.md review.md emit-okf.md verify.md
emit-yaml.md
唯一真源是接口。不臆造字段/粒度/枚举/取值；缺证据停下，一次一问。
references/ingest.md）接口归一成「操作清单」，每个 op 判定角色（fact / dimension-lookup）。 退出条件：清单完整，每个 op 有角色与读写标记。
references/review.md）将对象拆为原子决策；显式展示目标、候选、证据、风险、依赖与权衡，并在
事实、维度、度量、路由分区提供固定 YAGNI 判断指导。生成 model JSON 注入
assets/review-template.html，由用户确认、选择、修正、补证或拒绝；反馈写入
amendments.md 后重出报告。
退出条件：收到 approved:true，且无未决或阻塞项。出报告后必须停下；
未批准禁止进入 Phase 3。
references/emit-okf.md 默认 / references/emit-yaml.md 可选）默认生成 Google OKF v0.1 bundle；用户明确要求时生成 repo-YAML（Kimball 星型）。字段语义两个目标共享（定义在 emit-yaml.md §2–§4）。≥2 个 bundle 时生成薄根索引。
退出条件：产物文件完整落盘。
references/verify.md）跑结构检查 + 语义 lint +（如导出 OKF）OKF 硬约束，逐条回报 pass/fail。 退出条件：全部 pass；不可机械修复的 fail → 回 Phase 2 One blocking ask，不静默通过。
TODO(verify) 并列入待确认，不编造。approved:true 且无未决/阻塞项时进入 Phase 3。| 阶段 | 文件 |
|---|---|
| Phase 1 物料归一 + 角色判定 | references/ingest.md |
| Phase 2 决策建模 + HTML 工作台 + amendments | references/review.md |
| Phase 3 默认目标 OKF 布局/映射 | references/emit-okf.md |
| Phase 3 可选目标 YAML + 共享字段语义 | references/emit-yaml.md |
| Phase 4 全部校验 + 升级回路 | references/verify.md |
| 端到端样例 | references/examples.md |
Extracts callable scenes, concepts, and entities from source text for personal knowledge management in two rounds: skeleton with human confirmation, then IPO / decomposition / assembly and relations; concept is the hub. Use when 知识萃取、个人知识管理、PKM、semantic-pkm-creator、sce、三层萃取、IPO、场景/概念/实体.
当用户提到「OKF」「OKF Wiki」「Open Knowledge Format」「OKF 知识库」「新建 OKF」「创建 OKF bundle」「OKF 摄入」「OKF 查询」「OKF 一致性检查」「OKF 导出」「OKF 归档」「okf-wiki-init」「okf-wiki-ingest」「okf-wi...
Create, read, validate, and manage OKF (Open Knowledge Format) knowledge bundles for AI agents. Google's vendor-neutral markdown+YAML spec.
Convert a book, paper, document, documentation site, or code repository into a structured, on-demand agent skill. Use when the user wants to turn a PDF, EPUB, DOCX, a URL, a docs site, or a GitHub repo into a skill they can load later — "make a skill from this book", "turn this paper into a skill", "turn these docs into a skill", "I want an agent that knows this library".
Use when you need to compile any prompt OR multi-source content (PDF/video/URL/image/doc) into a production-grade, reusable AI Skill. Triggers on: 'prompt to...
Convert natural language queries to KWDB SQL for time series data, relational data and cross-model analysis. Use this skill whenever users ask to query KWDB databases, write SQL for KWDB, or convert natural language to KWDB-specific SQL syntax. Supports: CREATE DATABASE/TABLE, downsampling, interpolation, latest value queries, aggregation analysis, cross-model queries, window/session/event analysis.