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Found 2,583 Skills
Use when creating or publishing Claude Code hooks - covers executable format, event types, JSON I/O, exit codes, security requirements, and PRPM package structure
Orchestrate security finding validation through graduated exploitation. 4-phase pipeline: recon (SAST/DAST), analysis (code review), validation (exploit proof), report (No Exploit, No Report gate). Eliminates false positives by proving exploitability.
Creates Prowler security checks following SDK architecture patterns. Trigger: When creating or updating a Prowler SDK security check (implementation + metadata) for any provider (AWS, Azure, GCP, K8s, GitHub, etc.).
Pre-PR review pipeline — runs security, API audit, and scope check agents in parallel. Read-only, no changes. Use before creating PRs or after completing a phase of work.
Run parallel quality reviews (React, SOLID, Security, Simplification, Slop) on branch changes and auto-fix issues
Financial planning integration: planning tool data flows, goal-based plans, Monte Carlo simulation, plan-to-portfolio linkage, scenario analysis, tax projection, Social Security optimization.
Shared Python best practices for LlamaFarm. Covers patterns, async, typing, testing, error handling, and security.
Disaster recovery drill exercises and security checklists for web application projects (SPA, SSR, full-stack web apps). Focused on solo/indie developers using free-tier infrastructure (Vercel, Supabase, Cloudflare, Netlify, Railway, etc.). Bridges big-tech best practices (NIST, Google SRE DiRT, ISO 22301) to indie scale. Use when the user mentions drills, disaster recovery, security audit, incident simulation, project health check, resilience testing, backup strategies, secret rotation, or incident response for web projects. Not for mobile apps, desktop software, CLI tools, or games.
Playbook iterativo para llevar proyectos Node y TypeScript (NestJS + React en monorepo) a cumplir Quality Gates de SonarQube sin romper build ni pipelines. Usar cuando se necesite subir cobertura priorizando New Code, eliminar issues nuevos (Bugs, Vulnerabilities, Code Smells), revisar Security Hotspots y controlar duplicacion y deuda tecnica.
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.
Review Python dependencies for known security advisories, stale version pins, and unsafe upgrade paths. Use when users ask for dependency security reviews, requirements or lockfile audits, upgrade planning, pre-release risk checks, or remediation prioritization for Python projects.
Release preparation workflow - security audit → E2E tests → review → changelog → docs