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。
Analyzes specification documents to detect gaps, conflicts, and inconsistencies across requirements, tasks, and implementation plans.
Architects high-performance, production-ready PostgreSQL schemas using industry-standard best practices and domain-specific patterns.
Generates distinctive, production-grade frontend interfaces with high-end aesthetics that transcend generic AI-generated design patterns.
Measures and compares prompt efficacy through A/B testing, performance metrics, and detailed analytical reports.
Guides users through a complete OpenSpec development cycle using real-world tasks within their own codebase.
Diagnoses website SEO issues and provides actionable recommendations to improve organic search performance and technical health.
Simplifies ESPHome device configuration and troubleshooting with templates, GPIO references, and validation tools.
Implements high-performance observability patterns using wide events and canonical log lines for improved debugging and analytics.
Enforces a rigorous Red-Green-Refactor cycle to ensure all production code is preceded by a failing test.
Orchestrates end-to-end documentation workflows by analyzing code changes, bootstrapping structures, and generating visual diagrams to keep technical docs synchronized.
Enforces secure handling of environment variables and secrets by preventing credential leaks in code repositories.
Deploys hierarchical AGENTS.md infrastructure to provide AI agents with high-level architectural context and senior-level navigation paths.
Implements concise and readable anonymous functions for sorting, callbacks, and trivial data transformations based on Peter Norvig's coding patterns.
Provides a comprehensive collection of over 18 optimized prompt templates and executable agents for specialized cognitive tasks.
Upgrades existing Claude Sonnet and Opus integrations to the Opus 4.5 model with optimized parameters and behavioral adjustments.
Generates dynamic, domain-specific quality validation checklists for technical specifications to ensure requirement completeness.
Orchestrates the end-to-end development lifecycle from initial requirements specification to final code implementation.
Optimizes performance for interpreters and compilers by ensuring unique symbol instances for fast identity comparison using the 'is' operator.
Extracts and cleans transcripts from YouTube videos for quick reading and summarization.
Identifies and helps resolve contradictions between project requirements, technical decisions, and development plans.
Extracts deep web content, screenshots, and parsed PDF data using the Firecrawl API.
Automates the creation of high-fidelity frontend interfaces with comprehensive design systems, accessibility audits, and framework-specific UI patterns.
Automates the creation of high-quality GitHub Pull Requests by enforcing Rust pre-flight checks and standardized branch workflows.
Deletes specific entries from Claude's persistent knowledge base and synchronizes memory graph updates.
Guides developers through the end-to-end process of creating and optimizing Community Health Toolkit (CHT) tasks using automated form analysis.
Guides technical discovery and architectural planning through collaborative dialogue and incremental validation.
Implements robust shopping cart logic, secure payment processing, and scalable inventory management systems for online stores.
Streamlines Community Health Toolkit (CHT) application development, configuration, and deployment for digital health initiatives.
Captures key decisions, action items, and technical findings from your conversation into structured markdown documentation.
Implements the Norvig pattern of returning sentinel values instead of exceptions for natural algorithmic failures.
Scroll for more results...