Explorar skills
69.576 skills encontradas
secret-patterns
30+ service-specific secret detection regex patterns, entropy-based detection, PEM/JWT/Base64 identification, and false positive filtering.
config-security-scan
Verifica o diretório .claude/ em busca de configurações de segurança incorretas, segredos expostos e permissões inseguras.
reverse-document
Generate design docs, ADRs, and concept docs from existing code by reverse engineering intent
fullstack-dev
Full-stack backend architecture and frontend-backend integration guide. TRIGGER when: building a full-stack app, creating REST API with frontend, scaffolding backend service, building todo app, building CRUD app, building real-time app, building chat app, Express + React, Next.js API, Node.js backend, Python backend, Go backend, designing service layers, implementing error handling, managing confi
ui-ux-patterns
50+ named UX rules with numeric thresholds, 30+ UI styles catalog, industry anti-patterns, pre-delivery checklist
vibecosystem
AI software team for Claude Code - 138 agents, 295 skills, 73 hooks. Self-learning, multi-agent swarm, autonomous skill evolution.
vibecosystem
AI software team for Claude Code - 138 agents, 295 skills, 73 hooks. Self-learning, multi-agent swarm, autonomous skill evolution.
topic-resolver
Pre-search topic resolution. Maps vague queries to concrete entities (GitHub orgs, X handles, subreddits, docs URLs) before searching. Run as first step of any research workflow to dramatically improve search precision.
swarm
Tum ekibi ayni anda devreye sok. Agent'lar paralel calisir, birbirine soru sorar, birlikte gelistirir. Kullanim: /swarm <gorev>
circuit-breaker
Padrão de tolerância a falhas e disjuntor para agentes. Interrompe agentes com erros consecutivos, aplica um tempo de espera e alterna para um fallback, prevenindo falhas em cascata e loops de retentativa infinitos.
vibecosystem
AI software team for Claude Code - 138 agents, 295 skills, 73 hooks. Self-learning, multi-agent swarm, autonomous skill evolution.
smart-model-routing
Dynamic model selection based on task complexity scoring. Replaces static model mappings with a weighted signal system that picks Opus, Sonnet, or Haiku-class speed per task. Works with agent-assignment-matrix.md.