code-reviewer
Automated code review with best practices, security checks, and quality standards.
发现 部署与运维 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。
Automated code review with best practices, security checks, and quality standards.
Transform, manipulate, and analyze JSON data structures with advanced operations.
Convert meeting discussions into clear, actionable notes with tasks, decisions, and follow-ups fo...
Docker Compose generation, optimization, and troubleshooting assistance.
Automated code refactoring suggestions and implementation.
Detect design patterns and anti-patterns in code with recommendations.
Maven build system, dependency management, and Java project configuration assistance.
Document system architecture and technical design decisions for effective team communication and ...
Analyze and optimize SQL queries for better performance and efficiency.
Generate database schema diagrams, ERDs, and documentation from database schemas.
Validate data against schemas, business rules, and data quality standards.
Explain complex code to team members in clear, understandable terms for effective knowledge shari...
Pre-deployment validation checklist and automated readiness assessment.
Check code against security compliance standards and best practices.
Validate and implement HTTP security headers to protect web applications.
Review and analyze authentication and authorization patterns for security vulnerabilities.
Effectively use Narwhals to write dataframe-agnostic code that works seamlessly across multiple Python dataframe libraries. Write correct type annotations for code using Narwhals.
This skill should be used when the user asks to "define a feature", "create a BaseFeature class", "track feature versions", "set up metadata store", "field-level dependencies", "FieldSpec", "FeatureDep", "run m...
Self-reflect on the current session to identify mistakes and propose improvements to .claude configuration (CLAUDE.md, hooks, skills).
Write YAML front matter for documentation pages with appropriate titles and descriptions for social cards.
Use Hypothesis for property-based testing to automatically generate comprehensive test cases, find edge cases, and write more robust tests with minimal example shrinking. Includes Polars parametric testing inte...
Use syrupy for pytest snapshot testing to ensure the immutability of computed results, manage snapshots, customize serialization, and handle complex data structures with built-in matchers and filters.
Write legal and regulatory rules as executable, type-checked code in L4, a functional programming language for computational law. Use when formalizing contracts, legislation, regulations, policies, or complianc...
Capture learnings after completing work. Use when finishing a task, fixing a bug, discovering a pattern, or learning something worth remembering for future sessions. Helps build institutional memory.
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。