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。
Manages project tasks and issue tracking workflows directly within Claude Code using the Beads issue tracker.
Analyzes and organizes Claude Code session logs to help developers track workflow history and identify optimization patterns.
Generates production-ready infrastructure-as-code configurations across multiple cloud providers using natural language prompts.
Tracks end-to-end document flows in Odoo, automates financial audits, and manages complex bank reconciliations.
Integrates ImageMagick into Go applications for secure image processing and high-performance document rendering.
Transforms prediction market datasets into standardized Nixtla formats for seamless time-series forecasting.
Streamlines the creation of high-quality technical documentation and proposals through a structured, collaborative co-authoring workflow.
Automatically transforms blog posts into optimized formats for social media, newsletters, and cross-platform distribution.
Prevents common testing mistakes like mocking internal behavior and polluting production code with test-only methods.
Enforces a rigorous, self-skeptical development mindset focused on technical accuracy and red-teaming assumptions.
Conducts professional security audits, vulnerability scans, and compliance checks across codebases and infrastructure configurations.
Generates professional, brand-consistent PDF ebooks, checklists, and cheatsheets directly from Markdown content.
Streamlines the development of high-performance TypeScript APIs using modern frameworks like Hono, NestJS, and Drizzle ORM.
Monitors PostgreSQL and MySQL health using real-time metrics and predictive alerts to ensure database performance and uptime.
Stratifies project specifications into complexity-based layers and assigns tasks to specialized AI agents for optimized parallel execution.
Simulates Go-style channel communication patterns using filesystem-based scripts for testing and demonstration purposes.
Implements industry-standard testing patterns and best practices to ensure code reliability and quality across any development framework.
Generates production-ready, well-documented Terraform modules and infrastructure-as-code structures from natural language requirements.
Enforces production-grade Python standards by eliminating generic AI coding patterns through PEP 8 compliance, rigorous type hinting, and pandas best practices.
Diagnoses and resolves service failures, RAG bottlenecks, and model connectivity issues within the LlamaFarm ecosystem.
Architects high-performance Python backends using FastAPI, SQLAlchemy 2.0, and modern Pydantic validation.
Implements idiomatic HTTP API patterns in Go, including structured error handling, middleware, and functional options.
Automates the creation and editing of end-to-end (E2E) testing scenarios for the Probitas ecosystem using a specialized AI agent.
Conducts comprehensive pull request reviews with severity-rated feedback and automated GitHub CLI integration.
Standardizes the development lifecycle by orchestrating specialized agents through a structured requirement-to-merge workflow.
Automates thorough pull request reviews using deep code analysis, severity-rated feedback, and GitHub CLI integration.
Creates distinctive, production-grade frontend interfaces that avoid generic AI aesthetics through bold design thinking and meticulous styling.
Generates structured OPML test cases from Lark Project work items and technical documentation automatically.
Designs and executes controlled failure experiments to validate system resilience and recovery mechanisms.
Builds high-performance, interactive terminal user interfaces using the Go-based Charm stack and Elm Architecture.
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