competitive-analysis
Compare local codebase capabilities against competitor products by researching competitor features via web search and documentation, analyzing local code patterns, and generating an interactive HTML comparison...
发现 databases automation tools 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Compare local codebase capabilities against competitor products by researching competitor features via web search and documentation, analyzing local code patterns, and generating an interactive HTML comparison...
Production-grade skill for generating clear, well-documented code examples, implementation patterns, configuration files, and integration samples with multi-language support.
This skill transforms feature specifications, requirements documents, or plans into well-structured GitHub issues. It chunks large features into small, testable issues, creates them via gh CLI, and adds them to...
Guide OAK constitution maintenance with amendment workflows, validation frameworks, semantic versioning, and agent instruction synchronization.
Detect code smells and apply safe refactoring techniques
Analyze and improve code quality, readability, and maintainability
Reusable prompt templates for common tasks and optimization patterns
CI/CD pipelines with Git, GitHub Actions, GitLab CI, Jenkins, and deployment strategies.
Build automated CI/CD pipelines with CodePipeline and CodeBuild
Run Codex CLI, Claude Code, OpenCode, or Pi Coding Agent via background process for programmatic control.
Quality-first Zig 0.15.1 code generation. Loads stdlib context, generates small pieces, tests, reviews for idioms and slop, refactors. Use for any Zig coding task.
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include website...
Git コミットの作成を支援する。以下の場合に発動: (1) ユーザーが /commit と入力した時、(2) コード変更が完了しコミットが適切と判断した時、(3) ユーザーがコミットを依頼した時。変更内容を分析し、適切なコミットメッセ...
Semantic code search using natural language queries. Use when users ask "where is X implemented", "how does Y work", "find the logic for Z", or need to locate code by concept rather than exact text. Returns fil...
Find real-world code examples across millions of GitHub repositories. Use when the user wants to see how others implement something, find usage patterns, or discover code examples in the wild.
Delegate repetitive tasks to specialized agent to preserve context. Use when user asks to fix linting errors, fix diagnostics, rename variables across files, update imports, fix formatting issues, or perform ot...
Perform refactoring using TDD starting from README + Issue (following codegen-test), aligning with existing implementation conventions, and leveraging Serena MCP semantic search/editing to improve internal qual...
Fix bugs using TDD starting from README + Issue (following codegen-test), aligning with existing implementation conventions, and leveraging Serena MCP semantic search/editing to implement changes with high perf...
Manage localization strings, find missing translations, validate .strings files
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, applications, or redesign existing UIs. Generates creative, p...
Navigate Mind Palace to query entity knowledge about codebase subsystems. Use when understanding architecture, exploring how systems work, or checking for hazards/gotchas before modifying code.
Review LLM-generated diff classifications for the diffview eval system. Use when the user invokes this skill or pastes yanked case data from evalreview (containing "# Diff Classification Review" header). Evalua...
Best practices for coding, debugging, and refactoring. Use when reviewing code, debugging issues, refactoring, or establishing coding patterns.
Generate comprehensive changelogs from Git history with dual formats (client-accessible and technical) including working days calculation, feature consolidation, GitHub enrichment, and automated client-friendly...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。