Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Converts arXiv research papers into structured, implementation-ready Markdown documentation with preserved mathematical formulas.
Executes complex implementation plans using parallel or sequential subagents with mandatory review checkpoints and task batching.
Saves and manages AI workflow states to enable seamless task resumption using Serena MCP memory.
Enriches Jira issues with technical requirements, dependency mapping, and complexity estimates through intelligent analysis.
Implements and benchmarks advanced document chunking strategies to optimize retrieval performance and context preservation in RAG pipelines.
Integrates FastMCP Cloud servers with the Claude Agent SDK using optimized HTTP transport patterns and secure authentication.
Configures a detailed, four-line Powerline-style status bar to monitor project context, Git status, and usage limits in real-time.
Implements an evidence-based debugging protocol that prioritizes observability and systematic instrumentation over speculative fixes.
Optimizes how Claude processes and implements code review feedback with technical rigor and objective verification.
Analyzes your codebase to generate specialized, project-aware AI agents that understand your specific architecture, patterns, and conventions.
Streamlines the completion of development work by verifying tests and offering structured options for merging, creating pull requests, or cleaning up branches.
Automates documentation collection and structured data extraction using Playwright, BeautifulSoup, and Scrapy templates.
Streamlines the integration of OpenRouter with major AI frameworks through automated setup scripts and production-ready code templates.
Prevents fragile tests and production code pollution by enforcing strict best practices for mocking and Test-Driven Development.
Dispatches multiple concurrent AI agents to investigate and resolve independent software failures and bugs simultaneously.
Orchestrates parallel research subagents across codebase, documentation, and web sources to build comprehensive technical context before implementation.
Provides robust testing templates and mock provider implementations for Vercel AI SDK applications to ensure reliable AI integration.
Provides production-ready Celery templates for robust background task processing with built-in error handling, rate limiting, and validation.
Standardizes version control processes by enforcing conventional commits, branching strategies, and pull request best practices.
Generates comprehensive technical specification documents through a structured, interactive Q&A workflow.
Validates and bulletproofs Claude Code skills by applying a Red-Green-Refactor cycle to process documentation using high-pressure subagent scenarios.
Mandates the execution of verification commands and evidence gathering before any task is marked as complete.
Enforces a disciplined Red-Green-Refactor workflow to ensure high-quality, bug-free code through test-first implementation.
Validates, diagnoses, and fixes Vercel AI SDK provider configurations to resolve authentication, environment, and model compatibility issues.
Implements robust Redis-based rate limiting algorithms to protect APIs from abuse and manage request quotas efficiently.
Simplifies the integration and customization of Clerk authentication interfaces using pre-built templates and advanced theming patterns.
Generates interactive HTML dashboards and professional data visualizations using pyecharts and Apache ECharts.
Configures and debugs WebF runtime caching strategies in Flutter applications using HttpCacheMode.
Configures cloud GPU environments and provides selection guidance for Modal, Lambda Labs, and RunPod platforms.
Streamlines Clerk authentication workflows including JWT verification, custom claims configuration, and multi-session management.
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