AIエージェントの能力を拡張するClaudeスキルの完全なコレクションをご覧ください。
Systematically extracts, documents, and propagates architectural patterns and development learnings to improve your coding ecosystem.
Transforms project specifications into comprehensive, testable feature lists for autonomous development workflows.
Queries gene-drug interactions, clinical guidelines, and genetic variant annotations from the ClinPGx database for precision medicine applications.
Creates distinctive, production-grade frontend interfaces with high design quality and unique aesthetic directions.
Manages autonomous coding workflows through a comprehensive command-line interface for spec creation, build execution, and QA validation.
Orchestrates a comprehensive three-stage project planning cycle from architectural design to task breakdown and execution tracking.
Architects production-grade Flutter applications using Clean Architecture, Dart 3 optimizations, and strict structural standards.
Implements production-ready Node.js architectures using Express, Fastify, and industry-standard backend design patterns.
Streamlines token usage and prioritizes critical information to maximize the efficiency of autonomous coding agents within context window limits.
Configures and manages life-cycle hooks to enable autonomous task continuation and security validation within Claude Code.
Generates and maintains comprehensive technical documentation including API specs, READMEs, and architecture diagrams.
Exports Claude Code and Cursor conversation transcripts directly to a structured Notion database for documentation and archival.
Performs comprehensive system audits and diagnostic health checks for Maestro skills, agents, hooks, and memory systems.
Manages and optimizes Claude Code session context by automatically summarizing history and discarding redundant data to stay within token limits.
Analyzes existing codebases to generate continuity ledgers and accelerate project familiarity for Claude.
Performs differential gene expression analysis for bulk RNA-seq data using Python-based DESeq2 workflows.
Automates the continuous improvement and validation of Ralph Wiggum prompt skills through iterative self-review cycles.
Implements a 5-layer verification pyramid to ensure production-grade code quality through automated checks and LLM-as-judge evaluation.
Starts a fresh project session by loading core context files and initializing a structured session log.
Conducts professional, senior-level frontend code reviews directly on GitHub Pull Requests using the GitHub CLI and local scripts.
Deploys production-grade Amazon EKS clusters using Terraform best practices and official implementation modules.
Performs real-time sentiment analysis on Twitter/X content using Grok's native integration and natural language processing.
Executes an intensive code quality suite combining ESLint, TypeScript compilation, and unused code detection to maintain high development standards.
Analyzes Claude Flow swarms to detect performance bottlenecks, profile operations, and provide actionable AI-powered optimization recommendations.
Extracts actionable patterns and learnings from autonomous coding sessions to optimize future AI performance.
Deploys and manages comprehensive Grafana dashboards for monitoring Claude Code performance, costs, and session health.
Conducts comprehensive security audits, vulnerability scans, and compliance checks across codebases and infrastructure.
Verifies technical requirements and gathers real-time information through structured web searches and documentation analysis.
Manages end-to-end Railway.com deployment workflows including source deployment, monitoring, health verification, and rollback strategies.
Manages seamless transitions between AI agents and sessions by serializing state and bridging context for continuous workflows.
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