AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Automates web browser interactions, data extraction, and testing directly from the CLI using an AI-optimized referencing system.
Standardizes and automates high-accuracy summarization across files, URLs, and images while enforcing strict anti-hallucination rules.
Extracts and summarizes web content using quote-grounding and structured reporting to ensure high technical fidelity.
Automates web browser interactions using a specialized CLI designed for AI agents and accessibility-based element selection.
Executes structured technical plans with dependency-aware task batching, test-driven development, and automated multi-stage code reviews.
Provides comprehensive guidance and implementation patterns for the entire Cloudflare edge computing ecosystem.
Analyzes PRDs, technical plans, and brainstorm documents using specialized AI personas to identify risks and inconsistencies.
Automates the process of addressing, implementing, and responding to code review feedback from GitHub PRs and local agents.
Automates the creation of isolated Git worktrees and branches to prevent development conflicts between AI agents and human developers.
Transforms product requirements into structured, executable technical implementation plans with clear dependencies and test scenarios.
Completes feature development by automating test verification, code review, and standardized pull request creation.
Identifies and categorizes Ideal Customer Profiles (ICPs) by analyzing company websites, market data, and business models.
Performs high-performance structural code search, security scanning, and automated refactoring across 40+ programming languages using AST-Grep.
Investigates and resolves open project questions by conducting parallel research into prior art, constraints, and competitive landscapes.
Conducts comprehensive, persona-driven code reviews using parallel AI sub-agents to identify bugs, security flaws, and architectural debt.
Automates the entire build, signing, and deployment lifecycle for Capacitor mobile applications using industry-standard CI/CD tools.
Evaluates MCP servers using the SWE-bench Lite dataset to measure software engineering performance and accuracy.
Generates and validates optimized YAML configurations for the Model Context Protocol (MCP) Benchmark Runner.
Optimizes product documentation and growth strategies for discovery, extraction, and recommendation by AI agents.
Evaluates and benchmarks Model Context Protocol (MCP) servers using standardized datasets like SWE-bench and CyberGym.
Integrates high-performance AI search capabilities into TypeScript applications using the Upstash REST API.
Optimizes multi-metric configuration selection using evolutionary search and percentile-based cutoff filtering for quantitative research.
Automates Git-native code composition and transformations using declarative virtual sub-branches and Docker-based lenses.
Accesses, downloads, and analyzes French public datasets from the official data.gouv.fr portal using specialized Python tools and documentation.
Discovers high-value code in GitHub fork ecosystems by analyzing branch-level divergence and contributor signals beyond simple star counts.
Automates the isolation of T and B cell populations from mixed single-cell datasets using marker gene expression and VDJ clonotype data.
Designs robust and scalable ETL/ELT pipelines with built-in orchestration, error handling, and monitoring capabilities.
Generates structured refactoring recommendations and incremental execution plans to reduce technical debt and improve code maintainability.
Generates rigorous, evidence-based architectural documentation and technical specifications with mandatory requirements-to-implementation traceability.
Automates the creation of high-reliability macOS Calendar events and synchronized Reminders with tiered audible alerts.
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