搜索文档、Skill 和 MCP
「编码与调试」分类共 449 个 Skill，按仓库 star 排序。分类自动生成，仅供参考。
shinpr/claude-code-workflows693Language-agnostic coding principles for maintainability, readability, and quality. Use when implementing features, refactoring code, or reviewing code quality.
shinpr/claude-code-workflows693Implementation strategy selection framework. Use when planning implementation strategy, selecting development approach, or defining verification criteria.
shinpr/claude-code-workflows693Orchestrate full-cycle implementation across backend and frontend layers
shinpr/claude-code-workflows693Orchestrate the complete implementation lifecycle from requirements to deployment
shinpr/claude-code-workflows693React/TypeScript frontend development rules including type safety, component design, state management, and error handling. Use when implementing React components, TypeScript code, or frontend features.
partme-ai/full-stack-skills687Archive a completed change in the experimental workflow. Use when the user wants to finalize and archive a change after implementation is complete.
partme-ai/full-stack-skills687Archive a completed change in the experimental workflow. Use when the user wants to finalize and archive a change after implementation is complete.
partme-ai/full-stack-skills687Archive a completed change in the experimental workflow. Use when the user wants to finalize and archive a change after implementation is complete.
mhattingpete/claude-skills-marketplace680Generates comprehensive documentation explaining how a codebase works, including architecture, key components, data flow, and development guidelines. Use when user wants to understand unfamiliar code, create onboarding docs, document architecture, or explain how the system works.
mhattingpete/claude-skills-marketplace680Execute Python code locally with marketplace API access for 90%+ token savings on bulk operations. Activates when user requests bulk operations (10+ files), complex multi-step workflows, iterative processing, or mentions efficiency/performance.
mhattingpete/claude-skills-marketplace680Perform bulk code refactoring operations like renaming variables/functions across files, replacing patterns, and updating API calls. Use when users request renaming identifiers, replacing deprecated code patterns, updating method calls, or making consistent changes across multiple locations.
mhattingpete/claude-skills-marketplace680Generate multiple diverse solutions in parallel and select the best. Use for architecture decisions, code generation with multiple valid approaches, or creative tasks where exploring alternatives improves quality.
mhattingpete/claude-skills-marketplace680Process and implement code review feedback systematically. Use when user provides reviewer comments, PR feedback, code review notes, or asks to implement suggestions from reviews.
evanca/flutter-ai-rules650Use when creating a feature, designing folder structure, adding repositories/services/view models, wiring dependency injection, or deciding which layer owns logic.
evanca/flutter-ai-rules650Use when asked to review a PR, MR, branch, or diff, audit changed files, or check code quality.
evanca/flutter-ai-rules650Use when implementing app attestation, configuring App Check providers, setting up debug tokens, enabling backend enforcement, or managing token refresh.
evanca/flutter-ai-rules650Use when setting up auth, managing auth state, implementing email/password or social sign-in, handling auth errors, or managing users.
evanca/flutter-ai-rules650Use when implementing crash reporting, capturing fatal/non-fatal errors, recording isolate/async exceptions, customizing reports, or uploading obfuscated symbols.
evanca/flutter-ai-rules650Use when scaffolding a project, refactoring into layers, creating view models/repositories, configuring dependency injection, or implementing unidirectional data flow (MVVM).
evanca/flutter-ai-rules650Use when setting up ChangeNotifier models, providing them to the widget tree, consuming state with Consumer or Provider.of, or optimizing rebuilds.
Light0305/Light-skills640Light 科研主线 stage 6：把冻结的 question/estimand、experiment matrix、pre-registration 与 data lineage 落成最小可运行、测试先行、无泄漏、可复现且能交给 result-analysis 的实验代码。用于实现或复现训练/预处理/评测， 设计 gold/property/metamorphic 测试，控制 Python/NumPy/框架/CUDA/DataLoader 随机性，审查 train/test 或 CV fit 穿越，记录 config/code/environment/input hashes、stdout/stderr、raw metrics、patient/entity predictions 与 failure artifacts，以及运行 stage-6 checkpoint。数据泄漏或不可复现是 critical；静态扫描和同 seed 两次一致都不证明跨硬件 绝对复现。
nWave-ai/nWave616Architectural style selection decision matrices, trade-off analysis, structural enforcement rules, and combination patterns. Load when choosing or evaluating architecture styles.
nWave-ai/nWave616Comprehensive architecture patterns, methodologies, quality frameworks, and evaluation methods for solution architects. Load when designing system architecture or selecting patterns.
nWave-ai/nWave616Best practices for command definition files - size targets, declarative template, anti-patterns, and canonical examples based on research evidence