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Found 97 Skills
Claude Code Agent Teams - default team-based development with strict TDD pipeline enforcement
Run Schemathesis for property-based API security testing. Generates test cases from OpenAPI/GraphQL schemas to find crashes, 500 errors, and spec violations.
Run Opengrep for pattern-based code search and security scanning. Use when grep is insufficient for finding code patterns that require structural understanding (function calls, data flow, nested structures). Also use for security vulnerability detection with custom YAML rules.
Audits a local plugin directory to ensure it perfectly matches the Agent Skills and Claude Plugin Open Standards.
Enforces minimum quality thresholds in CI including code coverage, linting, type checking, and security scanning. Provides required checks, PR rules, and automated enforcement. Use for "quality gates", "CI checks", "code quality", or "PR requirements".
Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.
Load GitHub Actions automation workflows documentation including CI/CD pipelines, security scanning, and maintenance automation
n8n expression syntax validation, context-aware testing, common pitfalls detection, and performance optimization. Use when validating n8n expressions and data transformations.
Proactive security scanning for newly generated or modified code. Intelligently detects changes, runs appropriate scans (SAST, SCA, IaC), filters to only NEW issues, and prevents vulnerabilities at the source. Use this skill when: - Agent generates new code files - Agent modifies existing code - User asks to "scan for security issues" or "check my changes" - Before committing changes - User mentions "secure at inception", "proactive scan", or "security check"
全プロパティに詳細な解説が付いたTerraform AWSテンプレートを作成する。ユーザーが「/terraform-annotated-aws-blueprint」コマンドで構築したいインフラの概要を入力すると、Terraform Providerスキーマに基づいた正確な属性一覧と、AWS公式ドキュメントに基づく解説を含むテンプレートを生成する。
Diagnose and fix React codebase health issues. Use when reviewing React code, fixing performance problems, auditing security, or improving code quality.
Comprehensively reviews Python libraries for quality across project structure, packaging, code quality, testing, security, documentation, API design, and CI/CD. Provides actionable feedback and improvement recommendations. Use when evaluating library health, preparing for major releases, or auditing dependencies.