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。
Consults a multi-model AI council via OpenRouter for advanced code reviews, structured debugging, and architectural brainstorming.
Automates branch merging with intelligent, context-aware conflict resolution and GitHub integration.
Manages and analyzes cross-platform communications through a unified interface supporting real-time messaging, CLI-based metadata, and deep database analytics.
Audits frontend code for compliance with Vercel's professional web design and accessibility standards.
Establishes standardized implementation guidelines, common patterns, and testing strategies for integrating skill-based capabilities into production systems.
Validates business ideas and stress-tests assumptions through skeptical, realistic dialogue and structured documentation.
Executes predefined development plans automatically to create files, modify code, and generate unit tests.
Validates Move smart contracts using differential fuzzing and property-based testing to identify consensus-breaking bugs and edge cases.
Generates and synchronizes feature-specific documentation while keeping the project README and cross-links up to date.
Diagnoses code errors and stack traces to provide structured diagnostic reports and tiered resolution plans.
Accelerates feature implementation using a minimalist Explore-Code-Test workflow for rapid, focused software delivery.
Automates the entire software development lifecycle from GitHub issue to Pull Request without requiring user interaction.
Streamlines the process of compiling CPython from source, managing Argument Clinic, and executing the internal regression test suite.
Automates plugin versioning, changelog updates, and documentation synchronization for Claude Code marketplaces.
Generates engaging LinkedIn posts by automatically analyzing recent Git commits and categorizing marketplace updates.
Explores DuckDB and DuckLake schemas using concurrent, ergodic random walks and society-of-mind coordination.
Automates the testing and evaluation of LLM agents using YAML-defined scenarios and AI-powered judge criteria.
Generates concise development summaries and suggests next steps for completed tasks within a dev workflow.
Validates code against custom checklists and security standards before execution to ensure quality and compliance.
Implements software features step-by-step according to a predefined plan while enforcing PHPStan level 9 and PSR-12 formatting.
Automates the retrieval and validation of GitHub issues to initialize AI-driven development workflows.
Explores and maps codebase patterns, architectures, and integrations automatically without user interaction.
Automates vulnerability discovery in Rust codebases using the Ruzzy coverage-guided fuzzing framework.
Converts raw requirements into structured, executable task lists compatible with Claude Code's Task Management System.
Automates the creation of pull requests by generating concise summaries and handling branch management using GitHub CLI.
Automates the creation of standardized Git branches from issues or descriptions with built-in safety checks and naming conventions.
Models and analyzes dynamical systems on graphs to evaluate qualitative behaviors like stability, sinks, and bifurcations.
Orchestrates a specialized team of AI agents to manage complex development lifecycles from initial architecture to final QA.
Optimizes MongoDB performance by implementing expert indexing strategies, efficient query patterns, and high-performance aggregation pipelines.
Streamlines task initiation by combining structured templates with Claude's native Plan Mode and quality checklists.
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