搜索「GitHub Copilot」的结果

io.github.vstorm-co/pydantic-deepagents/refactor

Refactor code to improve structure and maintainability

io.github.farm-fe/farm/agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

io.github.dyoshikawa/rulesync/security-scan-diff

Scan for malicious code in git diff between a tag/commit and HEAD

io.github.catlog22/Claude-Code-Workflow/security-audit

OWASP Top 10 and STRIDE security auditing with supply chain analysis. Triggers on "security audit", "security scan", "cso".

io.github.affaan-m/ECC/tdd-workflow

Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.

io.github.affaan-m/ECC/tdd-workflow

Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.

io.github.affaan-m/ECC/tdd-workflow

Yeni özellikler yazarken, hata düzeltirken veya kod refactor ederken bu skill'i kullanın. Unit, integration ve E2E testlerini içeren %80+ kapsam ile test güdümlü geliştirmeyi zorlar.

io.github.affaan-m/ECC/context-budget

审核Claude Code上下文窗口在代理、技能、MCP服务器和规则中的消耗情况。识别膨胀、冗余组件，并提供优先的令牌节省建议。

io.github.affaan-m/ECC/continuous-agent-loop

具有质量门、评估和恢复控制的连续自主代理循环模式。

io.github.affaan-m/ECC/golang-patterns

Go-specific design patterns and best practices including functional options, small interfaces, dependency injection, concurrency patterns, error handling, and package organization. Use when working with Go code to apply idiomatic Go patterns.

io.github.affaan-m/ECC/ai-regression-testing

AI辅助开发的回归测试策略。沙盒模式API测试，无需依赖数据库，自动化的缺陷检查工作流程，以及捕捉AI盲点的模式，其中同一模型编写和审查代码。

io.github.affaan-m/ECC/golang-testing

Go testing best practices including table-driven tests, test helpers, benchmarking, race detection, coverage analysis, and integration testing patterns. Use when writing or improving Go tests.

io.github.affaan-m/ECC/coding-standards

Universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development.

io.github.affaan-m/ECC/coding-standards

TypeScript, JavaScript, React ve Node.js geliştirme için evrensel kodlama standartları, en iyi uygulamalar ve kalıplar.

io.github.affaan-m/ECC/coding-standards

TypeScript, JavaScript, React, Node.js 개발을 위한 범용 코딩 표준, 모범 사례 및 패턴.

io.github.affaan-m/ECC/coding-standards

TypeScript、JavaScript、React、Node.js開発のための汎用コーディング標準、ベストプラクティス、パターン。

io.github.affaan-m/ECC/backend-patterns

Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.

io.github.affaan-m/ECC/backend-patterns

Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.

io.github.affaan-m/ECC/backend-patterns

后端架构模式、API设计、数据库优化以及适用于Node.js、Express和Next.js API路由的服务器端最佳实践。

io.github.affaan-m/ECC/backend-patterns

Node.js, Express ve Next.js API routes için backend mimari kalıpları, API tasarımı, veritabanı optimizasyonu ve sunucu tarafı en iyi uygulamalar.

io.github.affaan-m/ECC/backend-patterns

Node.js, Express, Next.js API 라우트를 위한 백엔드 아키텍처 패턴, API 설계, 데이터베이스 최적화 및 서버 사이드 모범 사례.

io.github.affaan-m/ECC/backend-patterns

Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.

io.github.affaan-m/ECC/frontend-patterns

React, Next.js, 상태 관리, 성능 최적화 및 UI 모범 사례를 위한 프론트엔드 개발 패턴.

io.github.affaan-m/ECC/agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when AI agents perform most implementation work and humans enforce quality and risk controls.