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。
Automates the iterative process of scanning, refactoring, and verifying code quality improvements to reduce technical debt and enhance maintainability.
Implements a persistent, Manus-style file-based memory system for managing complex, multi-step engineering and research tasks.
Implement comprehensive quality engineering practices across the software lifecycle, from automated testing to production observability.
Overcomes web access restrictions and rate limits by performing federated searches and intelligent content extraction from blocked or challenging URLs.
Generates professional, standards-compliant Git commit messages with automated change analysis and collaborative attribution.
Provides comprehensive LaTeX templates and formatting guidelines for major scientific journals, academic conferences, and research grant proposals.
Guides developers in choosing the optimal neural network architecture based on data modality, problem constraints, and performance requirements.
Routes developers to the optimal mathematical frameworks and simulation techniques for building stable physics, AI, and economic systems.
Generates custom Claude Code skills with standardized templates, safety guardrails, and automated integration patterns.
Generates accessible, responsive HTML5 and JavaScript web designs with integrated Playwright-based automated testing and verification.
Validates Dockerfiles and Docker Compose configurations against industry best practices and security standards to ensure production readiness.
Executes multi-strategy searches across Zotero libraries using Python to rank, deduplicate, and filter results without overloading the model's context window.
Manages project tasks through a structured 'Task as Code' workflow by maintaining persistent Markdown-based todo files.
Architects emergent, systems-driven game experiences by routing users to specialized design frameworks and implementation workflows.
Conducts deep technical research into libraries, APIs, and code patterns to find real-world production implementations.
Routes AI and machine learning tasks to specialized Yzmir engineering packs based on specific project requirements and technical domains.
Performs comprehensive architectural assessments for Python backend systems, focusing on scalability, security, and performance best practices.
Generates comprehensive architecture documentation and C4 diagrams for existing codebases using coordinated subagent exploration and quality gates.
Transforms markdown knowledge repositories into structured Claude Code skills with guided analysis, generation, and packaging.
Enforces PostGIS 3.6.1 best practices for managing complex geographic data, spatial queries, and advanced geometry operations.
Enforces mandatory confirmation workflows and content previews for all write operations to external platforms like Jira, Confluence, BitBucket, and Slack.
Diagnoses machine learning training issues and routes users to specific optimization strategies based on model symptoms.
Automates git commit message generation following Conventional Commits standards and links them to Linear issues.
Finds and researches authoritative technical documentation with version-specific, context-aware search capabilities.
Orchestrates intelligent project setup, monorepo management, and context-aware switching for streamlined development workflows.
Manages and visualizes structured task lifecycles to ensure consistent progress and prevent invalid state transitions within the CCPM framework.
Automates the multi-step process of adding new comparison properties to the AI coding agents matrix across data files, UI components, and GitHub templates.
Guides users through the software development lifecycle with intelligent phase detection and streamlined project management commands.
Guides developers through structured project planning, complexity assessment, and task decomposition for complex engineering features.
Facilitates structured troubleshooting and root-cause analysis with automated task tracking and verification.
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