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。
Provides objective frameworks and disciplined decision-making patterns for determining when to continue, pivot, or terminate projects.
Stress-tests predictions by assuming failure and working backward to identify hidden risks and blind spots.
Writes idiomatic and comprehensive Minitest tests for Ruby on Rails applications.
Clones Git repositories to temporary local directories using shallow depth for rapid code analysis.
Builds beautiful, user-friendly interactive forms for Laravel Artisan commands and PHP command-line applications.
Generates clean, idiomatic Ruby 3.x code adhering to Sandi Metz’s maintainability standards and modern syntax best practices.
Generates professional, standardized Git commit messages based on staged changes following industry best practices.
Evaluates Python package licenses for redistribution compatibility using the SPDX database to ensure enterprise compliance.
Conducts high-signal, deep-dive code reviews for GitHub pull requests by analyzing diffs for bugs, security vulnerabilities, and performance issues.
Manages Salesforce data operations including complex SOQL queries, bulk imports, and automated test data generation via sf CLI.
Designs, implements, and maintains high-value TypeScript test suites using industry-standard libraries and behavioral testing principles.
Drafts and reviews high-impact NIH, NSF, and foundation grant proposals using a reviewer-centric framework.
Designs and applies structured scoring frameworks to ensure objective, consistent, and actionable quality assessments across any domain.
Streamlines the creation, validation, and management of custom Claude Code skills through an interactive scaffolding wizard.
Facilitates structured team retrospectives and project post-mortems to drive continuous improvement and actionable insights.
Deterministically identifies license information for Python packages by analyzing PyPI metadata and scanning source repositories.
Generates and reviews production-ready Salesforce Apex code using 2025 best practices and a rigorous 150-point quality scoring system.
Maps identified symmetries to mathematical groups to formalize requirements for equivariant and invariant neural network architectures.
Structures and refactors technical design documentation to be clear, concise, and easily discoverable.
Guides machine learning engineers through identifying data symmetries and physical constraints to optimize model architectures.
Simplifies local AI model development by providing comprehensive documentation and code patterns for Ollama APIs, configurations, and model management.
Designs neural network architectures that preserve symmetry groups to improve model efficiency and robustness.
Transforms abstract principles into concrete implementations using structured conceptual ladders for better communication and execution.
Matches data questions to optimal chart types and generates narrated reports that turn raw metrics into actionable business insights.
Transforms complex data and technical analysis into persuasive, audience-aligned narratives for stakeholders and executives.
Streamlines implementation of subscription billing and Stripe payment processing for Laravel applications.
Structures clinical research and evaluates health evidence using established evidence-based medicine frameworks like PICOT and GRADE.
Standardizes the design of rigorous database schemas, domain models, and knowledge graphs to ensure data integrity and system scalability.
Exports and uploads current chat conversations as formatted markdown attachments to JIRA tickets for documentation and review.
Adapts technical and strategic content for different audiences by adjusting tone, complexity, and emphasis while maintaining core accuracy.
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