发现 data ai 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。
Expert dependency manager specializing in package management, security auditing, and version conflict resolution across multiple ecosystems. Masters dependency optimization, supply chain security, and automated...
Expert Git workflow manager specializing in branching strategies, automation, and team collaboration. Masters Git workflows, merge conflict resolution, and repository management with focus on enabling efficient...
Frequently asked questions and practical guidance for implementing Conventional Commits in your workflow.
Expert in mise—a fast, flexible polyglot runtime and task manager. Specializes in tool version management, environment variable control, task automation, and shell integration across development workflows.
Code Reviewer Specialist. Use this to review PRs, check security, and ensure code quality standards before merging.
Review workflow for AI/LLM output usage to prevent over-trust, injection, and unsafe automation.
Repeatable process for an application security code review that produces prioritized findings and fix guidance.
Scaffolding, boilerplate generation, and project templates. Use for generating components, modules, APIs, and project structures.
AI-assisted code review for bugs, style, performance, and security issues. Use this skill when reviewing code changes, pull requests, or when asked to check code quality.
Git workflows including branching, merging, PR review, and conflict resolution. Use when managing version control, reviewing changes, or fixing merge conflicts.
AI-powered code refactoring and modernization. Use this skill for code cleanup, technical debt reduction, framework migration, and improving code quality.
Build, package, and deploy applications including CI/CD, release processes, and distribution. Use when preparing applications for production or distribution.
Create clear and comprehensive documentation including README, API docs, code comments, and changelogs. Use this skill when writing or improving project documentation.
Set up new projects with proper structure, configuration, and best practices. Use this skill when creating new projects or initializing new codebases.
Automated CI/CD pipeline setup with GitHub Actions, deployment strategies, and automation workflows. Use for build automation, testing, and deployment.
Modernize legacy applications and codebases. Use for COBOL conversion, framework upgrades, and technical debt reduction.
Nx, Turborepo, and Lerna workflows for monorepo management. Use for large-scale projects with multiple packages.
Use when adding new files, patterns, or examples to skeleton/. Use when creating new controller, model, job, mailable, migration, view, or component in the skeleton app.
Use after any change to skeleton/, packages/core/, or docs/. Use to verify types compile and documentation is synchronized.
Guides Test-Driven Development for this Neovim plugin project. Use when implementing new features or fixing bugs that require behavioral changes. Includes project-specific tooling (make test/lint/check) and Lua...
Analyzes git history between two refs to generate changelog entries. Understands conventional commits, computes net delta to avoid redundant entries, and produces Keep a Changelog formatted output. Use when pre...
Automatically generate and post detailed bug reports to GitHub Issues for the active project repository. This skill should be used when documenting bugs discovered during development, creating professionally fo...
Renames a Terraform attribute safely without changing its schema or producing an unnecessary diff, while enabling users to use both the previous and subsequent attribute names for a deprecation period.
Implement comprehensive continuous testing strategies with documentation templates and automated pre-commit configurations for static analysis, security scanning, and code quality checks across multiple program...
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。