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。
Optimizes parallel development workflows by managing multiple Git worktrees for frictionless context switching and repository hygiene.
Removes AI-generated verbosity, conversational slop, and redundant code comments to improve signal-to-noise ratio in technical documentation.
Enhances AI response quality by 45-115% using research-backed prompting techniques like expert personas and step-by-step reasoning.
Transforms vague user inputs into structured TCRO specifications to maximize AI output quality and consistency.
Transforms vague user input into highly structured, TCRO-formatted prompts to maximize AI output quality and consistency.
Optimizes and debugs React applications using advanced performance analysis, bundle visualization, and ecosystem best practices.
Facilitates the creation of high-quality extensions, commands, and agents for Claude Code and OpenCode platforms.
Optimizes parallel development workflows by managing Git worktrees for seamless, conflict-free context switching.
Generates optimized, production-ready Dockerfiles with multi-stage builds and security best practices for various programming languages.
Generates implementation-ready technical specifications through conversational code investigation and requirement gathering.
Analyzes existing codebase architecture and patterns to generate comprehensive reference documentation for AI-assisted development.
Provides comprehensive access to Apple's official Swift 6.2.1 documentation for syntax verification, feature lookups, and error resolution.
Provides comprehensive patterns and best practices for building high-performance applications using the Bun runtime and its native APIs.
Implements logging, metrics, tracing, and alerting to ensure production applications are reliable, visible, and easy to debug.
Prevents redundant troubleshooting by integrating a persistent, searchable memory system for software bugs and resolutions.
Analyzes search rankings and competitor strategies in the Russian and CIS markets using Yandex search and SEO tools.
Orchestrates multi-phase investigations across codebases, documentation, and external sources to generate evidence-based insights.
Audits and configures Outfitter marketplaces and plugins to streamline shared infrastructure setup for Bun projects.
Conducts deep-dive market, domain, and technical research using verified sources to inform development projects.
Automates MIDI controller configuration by capturing real-time hardware inputs and identifying complex interaction patterns.
Generates architectural patterns and type-safe handlers for building agent-ready Bun applications using the Outfitter infrastructure.
Standardizes and accelerates the creation of custom Claude Code skills through structured architectural patterns and automated artifact generation.
Generates comprehensive API and end-to-end acceptance tests before implementation to ensure code quality and requirement alignment.
Generates comprehensive, TDD-driven task breakdowns from design specifications to streamline implementation workflows.
Audits legacy codebases and automates the migration to Outfitter Stack patterns, including structured logging and functional error handling.
Validates infrastructure-as-code configurations using the native Terraform testing framework and .tftest.hcl patterns.
Guides the Red-Green-Refactor cycle to ensure high-quality, verified code through test-first development.
Scans codebases and files to identify personally identifiable information (PII) for GDPR and CCPA compliance.
Validates project documentation and architectural alignment using an adversarial review approach to ensure readiness before implementation begins.
Tracks and visualizes project progress within the BMAD agile development framework while recommending optimal next steps.
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