refactoring-safely
Use when refactoring code - test-preserving transformations in small steps, running tests between each change
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Use when refactoring code - test-preserving transformations in small steps, running tests between each change
Use after hyperpowers:executing-plans completes all tasks - verifies implementation against bd spec, all success criteria met, anti-patterns avoided
Use when creating or developing anything, before writing code - refines rough ideas into bd epics with immutable requirements
Use when starting any conversation - establishes mandatory workflows for finding and using skills
Recommend architecture patterns (monolith, microservices, serverless, modular monolith) based on scale, team size, and constraints. Use when cto-architect needs to select the right architectural approach for a...
Transform clarified user requests into structured delegation prompts optimized for specialist agents (cto-architect, strategic-cto-mentor, cv-ml-architect). Use after clarification is complete, before routing t...
Generate phased implementation roadmaps with Epic/Story/Task breakdown, effort estimates, and validation checkpoints. Use when cto-architect needs to create actionable technical roadmaps from architecture desig...
Generate structured 8-section validation reports with verdict (GOOD/BAD/NEEDS MAJOR WORK), strengths, critical flaws, blindspots, and concrete path forward. Use after strategic-cto-mentor has completed validati...
Guidance for scaling systems from startup to enterprise scale. Use when planning for growth, diagnosing bottlenecks, or designing systems that need to handle 10x-1000x current load.
Generate targeted clarifying questions (2-3 max) that challenge vague requirements and extract missing context. Use after request-analyzer identifies clarification needs, before routing to specialist agents. He...
Recommend technology stacks based on project requirements, team expertise, and constraints. Use when selecting frameworks, languages, databases, and infrastructure for new projects.
Deep expertise in ML/CV model selection, training pipelines, and inference architecture. Use when designing machine learning systems, computer vision pipelines, or AI-powered features.
Detect common technical and organizational anti-patterns in proposals, architectures, and plans. Use when strategic-cto-mentor needs to identify red flags before they become problems.
Identify and challenge implicit assumptions in plans, proposals, and technical decisions. Use when strategic-cto-mentor needs to surface hidden assumptions and wishful thinking before they become costly mistake...
Infrastructure and development cost estimation for technical projects. Use when planning budgets, evaluating build vs buy decisions, or projecting TCO for architecture choices.
Analyze incoming user requests to detect intent, request type (design/validate/debug/document), complexity level, and identify vague requirements or buzzwords that need clarification. Use when cto-orchestrator...
MoonBit code generation best practices. Use when writing MoonBit code to avoid common AI mistakes with syntax, tests, and benchmarks.
Reference for just command runner. Provides justfile syntax and GitHub Actions examples.
Terminal User Interface (TUI) performance and UX guidelines for TypeScript applications using Ink and Clack. This skill should be used when building CLI tools, interactive terminal prompts, or developer tooling...
dotenvx 環境変数管理ツールのリファレンス。暗号化、複数環境対応、GitHub Actions での使用例を提供。
Plutonium design token system - CSS custom properties, component classes, and consistent styling patterns
devbox 開発環境管理ツールのリファレンス。Nix ベースの再現可能な開発環境、GitHub Actions での使用例を提供。
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, ge...
Intelligent web scraper with content extraction, multiple output formats, and error handling
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.