Explorar skills
69.576 skills encontradas
devflow
Processo de desenvolvimento de agentes de ponta a ponta. Utilize ao coordenar trabalho, despachar agentes ou revisar PRs.
create-skill-file
Guides Claude in creating well-structured SKILL.md files following best practices. Provides clear guidelines for naming, structure, and content organization to make skills easy to discover and execute.
pipedrive-automation
Automate Pipedrive CRM operations including deals, contacts, organizations, activities, notes, and pipeline management via Rube MCP (Composio). Always search tools first for current schemas.
xg-model-building
Builds expected goals (xG) models from NHL play-by-play shot event data using XGBoost or LightGBM. Use when user asks about expected goals, xG model, shot quality, building an xG model, xGF%, xGA, rebound detection, rush shot detection, or shot probability. Do not use for applying pre-built xG values to team or game analysis -- see team-analysis or hockey-analytics. Do not use for general game pre
bats-testing-patterns
Master Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipelines, or requiring test-driven development of shell utilities.
gcp-cloud-run
Specialized skill for building production-ready serverless applications on GCP. Covers Cloud Run services (containerized), Cloud Run Functions (event-driven), cold start optimization, and event-driven architecture with Pub/Sub.
lark-calendar
飞书日历(calendar):提供日历与日程(会议)的全面管理能力。核心场景包括:查看/搜索日程、创建/更新日程、管理参会人、查询忙闲状态及推荐空闲时段。高频操作请优先使用 Shortcuts:+agenda(快速概览今日/近期行程)、+create(创建日程并按需邀请参会人)、+freebusy(查询用户主日历的忙闲信息和rsvp的状态)、+suggestion(针对时间未确定的预约日程需求,提供多个时间推荐方案)。
ads-linkedin
Análise aprofundada de LinkedIn Ads para publicidade B2B, avaliando 27 verificações em configuração técnica, segmentação de público, qualidade criativa, formulários de geração de leads e estratégia de lances. Inclui Thought Leader Ads, ABM e públicos preditivos.
rag-implementation
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
test-driven-development
Use when implementing any feature or bugfix, before writing implementation code
code-review
Perform code reviews following Sentry engineering practices. Use when reviewing pull requests, examining code changes, or providing feedback on code quality. Covers security, performance, testing, and design review.
cancer-metabolism-agent
AI-powered analysis of cancer metabolic reprogramming including Warburg effect, glutamine addiction, lipid metabolism, and metabolic vulnerabilities for therapeutic targeting.