发现 数据与 AI 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。
Project-specific UI refactor workflow for the Scoop news platform in /home/bender/classwork/Thesis. Use when updating Scoop frontend layouts, globe UX, research workspace, and brand docs while preserving all fe...
Enforces MRE-first bug fixing. When given an issue link for a bug fix, automatically create minimal reproducible example scripts before implementing any fix. Uses UV inline dependencies to test against both PyP...
Enforce dependency security scanning and SBOM generation. Use when adding dependencies, reviewing package.json, or during security audits. Covers OWASP dependency check, npm audit, and supply chain security.
Explicitly simplifies code by removing unnecessary abstractions, inlining single-use functions, reducing nesting, and applying YAGNI. Produces cleaner, more maintainable code. Use this skill when: - Code feels...
Load common code patterns and abstractions used in this project. Use when implementing features to maintain consistency.
Implements code changes and creates commits. Triggered when: implementation tasks, code changes, feature additions, bug fixes.
This skill should be used when transforming, refactoring, or replacing code patterns across multiple files. Use for renaming functions/classes/variables, migrating API usage patterns, modernizing syntax, or per...
Generates a new OpenCode agent .md configuration file based on user requirements.
Build mode for creating new features, components, or modules. Use when user requests creating new code. Follows structured process: confirm scope, propose structure, code in order (Types -> Logic -> UI), run ch...
After code changes finished, Remove AI-generated code slop from code changes in the current branch
Use when exploring codebase structure, discovering module APIs, understanding imports, or checking what functions exist. Provides scripts that replace manual file reading with structured discovery.
Execute a comprehensive 4-phase refactoring workflow (Analyze, Plan, Execute, Verify).
Safely reset development environment with confirmation and data preservation options
Use when creating or modifying code in nomarr/helpers/. Helpers are pure utilities with NO nomarr.* imports. Only stdlib and third-party libraries allowed.
Manage file-based todo tracking in the todos/ directory
Viya-app coding standards for TypeScript, Vue components, and Playwright tests. Use when reviewing, writing, or refactoring code in the viya-app repository.
Verify implementation matches change artifacts. Use when the user wants to validate that implementation is complete, correct, and coherent before archiving.
Google Stitch MCP for AI-powered UI design. Extract design context, generate code from designs, and create screens from descriptions. Use when working with Stitch designs and UI generation.
Use this skill when the user asks to "create an API endpoint", "build a REST API", "add a controller", "design an API", "implement CRUD operations", "add validation", "handle API errors", or any backend API dev...
Use this skill when building websites, landing pages, or UI components using reference bank patterns. Triggers include "build a site like X", "create landing page", "implement this design", or when referencing...
Testing patterns for Next.js projects using Jest, React Testing Library, and Playwright. Use when writing tests, setting up test infrastructure, or testing Next.js components, pages, API routes, or server actio...
Reviews the potential-parakeet frontend deployment configuration, fixes the "Hello World" entry point issue, and provides setup guides for AWS, Cloudflare, and Neon/Supabase.
Comprehensive Supabase platform MCP for database operations, edge functions, development tools, debugging, and project management. Use when working with Supabase projects, databases, or APIs.
Infrastructure operations, deployment, debugging, and monitoring. Use when deploying services, managing secrets, checking health, viewing logs, or troubleshooting infrastructure issues. Covers both finance_repo...
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。