AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Streamlines scientific research workflows by searching academic databases, extracting metadata, and generating validated BibTeX entries.
Automates deep web scraping, PDF parsing, and website crawling using the Firecrawl API to extract structured content.
Implements high-performance Retrieval-Augmented Generation systems using sophisticated chunking, hybrid search, and reranking strategies.
Architects high-performance AI agent interfaces through optimized JSON schemas, descriptive documentation, and robust error recovery patterns.
Optimizes PostgreSQL performance, schema design, and security using Supabase-vetted standards and implementation patterns.
Models software feature specifications and domain architectures using RDF ontologies and Turtle syntax.
Validates, tests, and ensures the quality of Violet AI plugins before deployment to maintain structural consistency and reliability.
Generates and edits professional draw.io diagrams in XML format for technical documentation and system design.
Adapts Claude's operational style across development phases to optimize for ideation, execution, debugging, or deployment.
Integrates robust multi-channel communication features including SMS, voice calls, and automated user verification using the Twilio API.
Generates concise, LaTeX-formatted medical treatment plans with evidence-based interventions and automated clinical schematics.
Optimizes React and Next.js applications using Vercel Engineering's production-grade performance guidelines.
Master Linux and macOS terminal workflows with standardized Bash patterns, scripting templates, and robust error handling.
Implements industry-standard React and Next.js patterns for building scalable, high-performance user interfaces.
Optimizes and automates the deployment of Next.js applications to the Vercel platform using production-grade best practices.
Ensures developers are working in the appropriate repository type by detecting planning versus implementation context mismatches.
Optimizes LLM performance and reduces operational costs by implementing advanced caching patterns like Anthropic prompt caching and Cache Augmented Generation (CAG).
Accelerates the creation of custom developer utilities and internal tools by focusing on rapid prototyping and solving immediate personal workflows.
Generates optimized JSON templates for the Obsidian Web Clipper by analyzing web page structures and matching them to your personal database schemas.
Simplifies the creation of robust ViewModels and multi-step wizards for Avalonia applications using ReactiveUI and the Zafiro toolkit.
Evaluates and benchmarks LLM agents using behavioral testing, reliability metrics, and regression analysis to ensure production readiness.
Orchestrates multiple local CLI agents using tmux sessions to automate parallel tasks, monitor logs, and schedule recurring workflows.
Optimizes AI performance and reduces operational costs by implementing strategic prompt caching, response caching, and Cache Augmented Generation (CAG) patterns.
Implements secure, scalable Firebase backend services using production-ready patterns for Firestore, Authentication, and Cloud Functions.
Implements expert patterns for Segment Customer Data Platform integration, including tracking plans and identity resolution.
Generates structured academic paper outlines through collaborative research dialogue and disciplinary best practices.
Manages serverless message queues, scheduled cron jobs, and reliable HTTP-based task delivery without infrastructure overhead.
Provides comprehensive frameworks and actionable checklists for planning, executing, and scaling SaaS product launches and feature announcements.
Facilitates structured design thinking and technical specifications through disciplined dialogue before any implementation begins.
Facilitates structured, disciplined design reasoning to transform vague ideas into validated technical specifications before any implementation begins.
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