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。
Packages and validates completed skill directories into optimized ZIP files for deployment to Claude AI.
Reviews GitHub pull requests for code quality, security vulnerabilities, and adherence to project standards using the GitHub CLI.
Orchestrates multi-agent workflows to generate, review, and synthesize high-quality software documentation and technical artifacts.
Synthesizes disparate audience data into unified, actionable personas and data-driven behavioral segments.
Reverse-engineers and extracts unique writing styles from text samples to create reusable, structured AI voice profiles.
Monitors and maintains workspace integrity by assessing file structure, documentation alignment, and artifact freshness throughout the development lifecycle.
Streamlines incident management by classifying severity, coordinating response teams, and documenting resolution timelines in real-time.
Provides comprehensive project context detection and state awareness for autonomous agentic coding workflows.
Conducts automated threat modeling, vulnerability scanning, and security control validation to protect software assets.
Scans documentation and codebases to identify and flag unsupported metrics, unverifiable claims, and non-existent feature references.
Executes and manages Python test suites with automated configuration, coverage reporting, and failure analysis.
Manages complex architectural changes through automated impact analysis, ADR generation, and detailed migration planning.
Runs ESLint for JavaScript and TypeScript code quality enforcement, static analysis, and automated fixing.
Validates test suite effectiveness by introducing intentional code defects to identify weak assertions and untested logic.
Implements continuous risk identification, assessment, and mitigation tracking throughout the entire software development lifecycle.
Organizes massive documentation sets into manageable, focused sub-skills for AI agents using intelligent routing strategies.
Generates customized AI writing voice profiles from natural language descriptions to ensure consistent communication across different domains.
Orchestrates multiple autonomous agents concurrently to perform complex multi-perspective analyses and reviews.
Automates multi-stage quality assurance and channel-specific validation for marketing assets to ensure brand compliance and technical accuracy.
Validates digital assets against visual, verbal, and legal brand guidelines to ensure consistent identity across all channels.
Automatically identifies and repairs unreliable tests by applying deterministic patterns and resolving async race conditions.
Routes natural language commands to specific AI workflows and skills by parsing user intent and matching domain patterns.
Applies domain-specific voice profiles to transform the tone, vocabulary, and structure of technical and creative content.
Partitions massive documentation sites into focused, navigable sub-skills with intelligent routing for AI agents.
Automatically identifies patterns in unreliable tests and applies deterministic fixes to improve CI stability.
Aggregates multi-source data to create unified, data-driven personas and actionable market segments.
Automates the creation, management, and validation of Python virtual environments to ensure isolated and consistent development setups.
Validates AIWG configuration files and project setups for syntax correctness, schema compliance, and cross-reference integrity.
Extracts structured text, tables, and images from PDF documents to create searchable, organized Markdown content.
Orchestrates complex marketing data workflows including automated collection, cross-channel transformation, and performance reporting.
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