filesearch
Gemini File Search (RAG) - semantic search over your documents
发现 编程开发 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。
Gemini File Search (RAG) - semantic search over your documents
AI-powered UI and image generation using Gemini 3 (Nano Banana Pro)
Release a new version of AllBeads. Use when the user wants to ship, release, publish, or tag a new version. Handles version bumping, quality checks, tagging, pushing, and homebrew tap updates.
AllBeads development process. Use when planning features, creating documentation, tracking work with beads, or understanding the documentation system.
Multi-repo orchestration for AI agent workflows. Aggregate beads across repositories, manage contexts, and coordinate distributed work across microservices and polyrepo architectures.
QA specialist agent for test planning, execution, and regression analysis
Comprehensive security scanner for vulnerabilities, hardcoded secrets, and OWASP Top 10 issues
Data engineering agent for ETL pipelines, data warehousing, and analytics
Generates comprehensive README.md files for software projects by analyzing codebase structure
Chain multiple skills together into automated workflows with conditional logic and parallel execution
Setup and manage git hooks for pre-commit, pre-push automation (lint, test, format)
Autonomous AI-powered pull request reviewer with multi-agent analysis and comprehensive feedback
Backend architecture agent for API design, database schema, and microservices
Automated deployment orchestration with rollback, blue-green, and canary deployment strategies
Analyze and optimize code performance, identify bottlenecks, and suggest improvements
Frontend development agent for React, Vue, Next.js with modern UI/UX patterns
DevOps agent specializing in deployment, monitoring, and infrastructure automation
Natural language database queries with multi-database support, query optimization, and visual results
Technical documentation specialist - create docs, API references, user guides for technical and non-technical audiences
Generate CI/CD pipelines for GitHub Actions, GitLab CI, Jenkins with best practices
Manage development environments, configurations, and secrets across local, staging, and production
Migrate legacy code to modern frameworks, languages, and patterns with automated refactoring and testing
Generate production-ready Kubernetes manifests with Deployments, Services, ConfigMaps, and Ingress
Generates comprehensive unit tests for functions and classes in multiple languages
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。