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Found 749 Skills
Turn a vague feature or product idea into an agreed, persisted specification through relentless structured questioning. Never assumes — every gap, ambiguity, or "probably" becomes a question to the developer, and the spec cannot be approved while open questions remain. Produces docs/specs/<NNN>-<slug>.md with acceptance criteria that /plan, /scaffold, and /tdd consume. Use when: "spec", "write a spec", "spec this out", "requirements", "PRD", "acceptance criteria", "define the feature", "user stories", "what should we build", or before planning any feature too big to describe in one sentence.
Comprehensive SQL statement checking for Apache Doris (based on Doris 3.1.4 Nereids ANTLR4 grammar), supporting two check modes: 1. Syntax Check - Keyword validation, statement structure verification, clause completeness, Doris-specific syntax compatibility (DISTRIBUTED BY, PARTITION BY, ENGINE, DUPLICATE/AGGREGATE/UNIQUE KEY, INSERT OVERWRITE, LOAD, EXPORT, MTMV, BACKUP/RESTORE etc.) 2. Specification Check - Object design standards, data operation standards, naming conventions based on Apache Doris development best practices. Built-in custom Doris SQL tokenizer (504 keywords from DorisLexer.g4) and recursive descent parser supporting 100+ Doris statement types. Applicable when users need SQL quality review, syntax validation, or specification compliance checking for Apache Doris SQL (versions 2.1.x / 3.0.x / 3.1.x / 4.x). 触发词:"Doris SQL检查"、"Doris SQL规范"、"Doris SQL审计"、"Doris SQL语法"、"检查Doris SQL"、"Doris SQL review"
Analyze a GitHub issue and create a detailed technical specification
Generate valid Cloud Monitoring ListTimeSeries requests and aggregation specifications from metric descriptors and resource parameters. Use when asked to create, generate, format, or build ListTimeSeries requests, JSON payloads, filter expressions, or aligner/reducer aggregations for Cloud Monitoring metrics and charts. Don't use for metric discovery or metric selection.
Huawei Cloud MRS Hive SQL specification checking skill. Checks SQL statements against defined syntax and specification rules using the automated checker engine. No extra manual analysis beyond defined rules. Trigger:"Hive SQL优化"、"检查Hive SQL"、"Hive SQL检查"、"Hive SQL规范"、"Hive SQL语法"、"Hive SQL review"
Review Specification - validates documents for completeness, quality, and consistency against the codebase. Use when checking spec quality at any pipeline stage.
Test Plan - creates a manual test plan with traceable test cases from specification documents. Use when preparing to verify a feature implementation.
通过专利ID或公开号从智慧芽专利数据库获取专利说明书(描述)数据。当用户提到专利说明书、专利全文、专利技术描述、专利实施方式详情、智慧芽说明书数据、patent specification, patent full text, technical description, embodiment details, PatSnap, patent detailed description时触发此技能。即使用户未明确说"智慧芽",只要其需要查看一项或多项专利的完整说明书/描述内容,也应触发此技能。
DESIGN.md design system specification for Morning Star projects. Create, audit, and maintain project-level design tokens (Colors, Typography, Spacing, Elevation, Motion, Shapes, Components, Voice & Content) using Vercel Geist as reference template. Three-level completeness checklist (MVP/Standard/Production) with built-in upgrade placeholders. Supports light/dark dual-theme via DESIGN.md + DESIGN.dark.md sharing same token names with different values. Prepare 阶段由 @architect 主责创建,@product-manager 提供设计需求;@frontend-dev / @fullstack-dev 实现 UI 时消费;@qc-specialist / @qa-engineer 审查 UI 对齐 DESIGN.md。Read when PM assigns DESIGN.md creation in Prepare, initiating a new UI project, @architect defining a design system, implementing styled components, auditing UI against design spec, adding dark theme, or user mentions "DESIGN.md" / "design tokens" / "design system". Phase gate → **mstar-phase-gates**; paths → **mstar-plan-conventions**.
Token architecture, component specifications, and slide generation. Three-layer tokens (primitive→semantic→component), CSS variables, spacing/typography scales, component specs, strategic slide creation. Use for design tokens, systematic design, brand-compliant presentations.
Write clear, comprehensive technical documentation. Use when creating specs, architecture docs, runbooks, or API documentation. Handles technical specifications, system design docs, operational guides, and developer documentation with industry best practices.
Standardize and validate SKILL.md files to match the project specification. Use when creating new skills, converting existing skills to standard format, or validating skill file structure. Handles section heading conversion, frontmatter standardization, and missing section detection.