Découvrez les skills data ai automation tools, comparez leurs dépôts et consultez leurs instructions.
Create and configure Claude Code plugin marketplaces hosted on GitHub. Use this skill when users want to set up a new plugin marketplace repository, add plugins to an existing marketplace, configure team distri...
Security audit for GitHub repositories before installation. Use when user wants to check if a repo/app is safe to install, review install scripts for malicious code, verify an open source project isn't collecti...
Code review guidelines covering code quality, security, and best practices.
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...
Documentation templates and structure guidelines. README, API docs, code comments, and AI-friendly documentation.
Project scaffolding templates for new applications. Use when creating new projects from scratch. Contains 12 templates for various tech stacks.
Automatic quality control, linting, and static analysis procedures. Use after every code modification to ensure syntax correctness and project standards. Triggers onKeywords: lint, format, check, validate, type...
Delegate complex coding tasks to Google's Jules autonomous AI coding agent. Use this skill when you need to offload time-consuming implementation work, create parallel coding sessions, or handle tasks that bene...
Expertise in automated testing, code review practices, and quality standards enforcement. Activates when working with "lint", "test", "review", "coverage", "quality", "standards", or test automation.
Validate Cookiecutter templates, Terraform modules, and Harness pipelines
Comprehensive knowledge for creating, managing, and merging pull requests with Jira integration, following best practices for code review, deployment, and team collaboration
Git workflows including branching strategies, commits, merging, rebasing, and GitHub collaboration. Activate for git commands, version control, PRs, and repository management.
Harness MCP (Model Context Protocol) server integration for AI-powered CD operations, pipeline management, Git repositories, pull requests, code review comments, and bidirectional Jira synchronization
Harness CI (Continuous Integration) for container-native builds with test intelligence, caching, parallelization, and build infrastructure management
Harness MCP (Model Context Protocol) server integration for AI-powered CD operations, pipeline management, Git repositories, pull requests, code review comments, and bidirectional Jira synchronization
Comprehensive knowledge for creating, managing, and merging pull requests with Jira integration, following best practices for code review, deployment, and team collaboration
Project type detection matrix, template recommendations per project type, post-scaffolding checklist, Harness integration patterns, and testing recommendations
Detect and extract patterns from codebases for template generation
Harness CI (Continuous Integration) for container-native builds, test intelligence, caching, parallelization, and build infrastructure management. Activate for build pipelines, CI steps, test automation, artifa...
Create smart commit linked to Jira issue. Use when the user wants to "commit", "smart commit", "jira commit", or "commit changes".
Master all templating formats - Handlebars, Cookiecutter, Copier, Maven, and Harness - with format selection matrix, generation workflows, and best practices
Expertise in CI/CD pipeline creation, process automation, and team workflow optimization. Activates when working with "automate", "pipeline", "workflow", "CI/CD", "process", or automation tools.
Use this agent when you need to analyze code for design patterns, anti-patterns, naming conventions, and code duplication. This agent excels at identifying architectural patterns, detecting code smells, and ens...
Use this agent when you need to understand the historical context and evolution of code changes, trace the origins of specific code patterns, identify key contributors and their expertise areas, or analyze patt...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.