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Found 491 Skills
An Agent dedicated to brainstorming and finalizing specifications. Finalize a single, implementable and testable Spec.md.
Generate or sync a "Living Specification" (docs/spec.md) from source code to eliminate doc-code drift. Use when creating, updating, or reviewing architecture documentation for a directory or module. Triggers on requests like "generate spec", "create spec.md", "sync documentation", "update architecture docs", "/spec.doc", or when asked to document a codebase directory.
Generate a complete, production-ready application from an OpenAPI specification
Create a comprehensive specification from a brief description. Manages specification workflow including directory creation, README tracking, and phase transitions.
This skill helps users extract structured product listings from Amazon, including titles, ASINs, prices, ratings, and specifications. Use this skill when users want to search for products on Amazon, find the best selling brand products, track price changes for items, get a list of categories with high ratings, compare different brand products on Amazon, extract Amazon product data for market research, look for products in a specific language or marketplace, analyze competitor pricing for keywords, find featured products for search terms, get technical specifications like material or color for product lists.
This skill should be used when the user asks to "validate FHIR resources", "check HL7 messages", "validate healthcare data format", "parse FHIR", "HL7 v2 messages", "FHIR R5 validation", "CDA documents", "healthcare data interchange", "FHIR resource schema", "HL7 specifications", or mentions FHIR validation, HL7 message parsing, CDA validation, healthcare data format compliance, or Fast Healthcare Interoperability Resources standards.
Use this skill when optimizing for AI-powered search engines and generative search results - Google AI Overviews, ChatGPT Search (SearchGPT), Perplexity, Microsoft Copilot Search, and other LLM-powered answer engines. Covers Generative Engine Optimization (GEO), citation signals for AI search, entity authority, LLMs.txt specification, and LLM-friendliness patterns based on Princeton GEO research. Triggers on visibility in AI search, getting cited by LLMs, or adapting SEO for the AI search era.
Produces API reference documentation for Next.js APIs: functions, components, file conventions, directives, and config options. **Auto-activation:** User asks to write, create, or draft an API reference page. Also triggers on paths like `docs/01-app/03-api-reference/`, or keywords like "API reference", "props", "parameters", "returns", "signature". **Input sources:** Next.js source code, existing API reference pages, or user-provided specifications. **Output type:** A markdown (.mdx) API reference page with YAML frontmatter, usage example, reference section, behavior notes, and examples.
Professional 12306 train ticket schedule inquiry skill, supporting accurate station selection, date specification and train information retrieval. Using verified browser operation SOP processes and direct URL parameter query strategy to ensure the accuracy of query results. Suitable for scenarios where users need to query train schedules, ticket availability, train times and other 12306-related inquiries.
A collection of technical writing rules to significantly improve the quality of your writing. Achieve professional writing quality by eliminating redundant expressions, avoiding repeated sentence endings, correctly distinguishing between kanji and hiragana, using active voice, and placing subjects and predicates close together, among other practices. This must be referenced for all tasks involving text output or generation. Applicable tasks include creating PR descriptions, writing technical documents, design documents, specifications, and procedure manuals, updating README/CLAUDE.md/Confluence pages, generating commit messages, summarizing survey results and specifications, outputting in Markdown, improving and reviewing existing text, etc. This skill is triggered by all requests involving text output, such as "write", "create", "compose", "summarize", "add to", "output", "improve", "review", "document", "create a PR", "output in Markdown", etc. Refer to this skill even for short instructions or implicit text generation tasks. Explicit mention of the skill name is not required.
Full-process specification for software development, covering requirements analysis, design, pre-development, development, testing, and delivery, including review mechanisms, coding specifications and Git workflow
Generates Tzatziki-based Cucumber BDD tests (.feature files) from a functional specification. Use this skill whenever a user wants to write Cucumber tests, add BDD scenarios, create feature files, generate tests, or test application behaviors with Gherkin — especially in Java/Spring projects using Tzatziki step definitions for HTTP, JPA, Kafka, MongoDB, OpenSearch, logging, or MCP. Also use when the user mentions writing integration tests, acceptance tests, or end-to-end tests in a project that already has Tzatziki/Cucumber dependencies, including TestNG-based setups.