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samhvw8/dot-claude

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14 skills70 GitHub stars0 weekly installsPythonGitHubOwner profile

Systematic code refactoring following Martin Fowler's catalog. Methodologies: characterization tests, Red-Green-Refactor, incremental transformation. Capabilities: SOLID compliance, DRY cleanup, code smell detection, complexity reduction, legacy modernization, design patterns, functional programming patterns. Actions: refactor, extract, inline, rename, move, simplify code. Keywords: refactor, SOLID, DRY, code smell, complexity, extract method, inline, rename, move, clean code, technical debt, legacy code, design pattern, characterization test, Red-Green-Refactor, functional programming, higher-order function, immutability, pure function, composition, currying, side effects. Use when: improving code quality, reducing technical debt, applying SOLID principles, fixing DRY violations, removing code smells, modernizing legacy code, applying design patterns.

14 skills

refactoring-expert
Python

Systematic code refactoring following Martin Fowler's catalog. Methodologies: characterization tests, Red-Green-Refactor, incremental transformation. Capabilities: SOLID compliance, DRY cleanup, code smell detection, complexity reduction, legacy modernization, design patterns, functional programming patterns. Actions: refactor, extract, inline, rename, move, simplify code. Keywords: refactor, SOLID, DRY, code smell, complexity, extract method, inline, rename, move, clean code, technical debt, legacy code, design pattern, characterization test, Red-Green-Refactor, functional programming, higher-order function, immutability, pure function, composition, currying, side effects. Use when: improving code quality, reducing technical debt, applying SOLID principles, fixing DRY violations, removing code smells, modernizing legacy code, applying design patterns.

debugging
Python

Systematic debugging methodology with root cause analysis. Phases: investigate, hypothesize, validate, verify. Capabilities: backward call stack tracing, multi-layer validation, verification protocols, symptom analysis, regression prevention. Actions: debug, investigate, trace, analyze, validate, verify bugs. Keywords: debugging, root cause, bug fix, stack trace, error investigation, test failure, exception handling, breakpoint, logging, reproduce, isolate, regression, call stack, symptom vs cause, hypothesis testing, validation, verification protocol. Use when: encountering bugs, analyzing test failures, tracing unexpected behavior, investigating performance issues, preventing regressions, validating fixes before completion claims.

ui-ux-design
Python

UI/UX design reference database. 50+ styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient.

docx
Python

Word document processing. Format: .docx (ZIP/XML structure). Capabilities: create documents, edit content, tracked changes, comments, formatting preservation, text extraction, styles, headers/footers, tables, images. Actions: create, edit, analyze, extract from Word documents. Keywords: Word, docx, document, tracked changes, comments, formatting, styles, headers, footers, tables, images, paragraphs, text extraction, template, mail merge, revision history, document comparison. Use when: creating Word documents, editing docx files, working with tracked changes, adding comments, extracting document content, preserving document formatting.

aesthetic
Python

Visual design intelligence and UI aesthetics. Integrates: chrome-devtools, ai-multimodal, media-processing. Capabilities: design analysis, visual hierarchy, color theory, typography, micro-interactions, animation, design systems, accessibility. Actions: analyze, design, create, capture, evaluate, implement UI aesthetics. Keywords: Dribbble, Behance, Mobbin, design inspiration, visual hierarchy, color palette, typography, spacing, animation, micro-interaction, design system, style guide, accessibility, WCAG, contrast ratio, golden ratio, whitespace, visual rhythm. Use when: building beautiful UIs, analyzing design inspiration, implementing visual hierarchy, adding animations/micro-interactions, creating design systems, evaluating aesthetic quality, capturing design screenshots.

claude-code
Python

Claude Code CLI tool expertise. Features: autonomous coding, slash commands, MCP servers, Agent Skills, hooks, plugins, CI/CD integration. Capabilities: setup/config, troubleshooting, skill creation, MCP integration, enterprise deployment, workflow automation. Actions: configure, troubleshoot, create, deploy, integrate Claude Code. Keywords: Claude Code, Anthropic, CLI tool, slash command, MCP server, Agent Skill, hook, plugin, CI/CD, enterprise, CLAUDE.md, agentic coding, terminal tool, workflow automation, code generation, skill creation, configuration, authentication, API key. Use when: learning Claude Code features, configuring settings, creating skills/hooks, setting up MCP servers, troubleshooting issues, CI/CD integration, enterprise deployment questions.

project-planner
Python

Universal project planning for non-technical projects. Domains: business, personal, creative, academic, organizational, events. Capabilities: goal setting, milestone planning, resource allocation, timeline creation, risk assessment, progress tracking. Actions: create, plan, structure, breakdown, track projects. Keywords: project plan, roadmap, strategy, goal setting, milestones, timeline, action plan, project management, business plan, personal goals, creative project, academic planning, event planning, organizational change, OKRs, SMART goals, Gantt chart. Use when: creating project plans, setting goals/milestones, planning business initiatives, organizing events, structuring academic work, developing strategies/roadmaps.

xlsx
Python

Excel spreadsheet processing and analysis. Formats: .xlsx, .xlsm, .csv, .tsv. Capabilities: create spreadsheets, formulas (error-free), formatting, data analysis, charts, pivot tables, conditional formatting, data validation, template preservation. Actions: create, edit, analyze, visualize, recalculate spreadsheets. Keywords: Excel, spreadsheet, xlsx, csv, formula, VLOOKUP, SUMIF, pivot table, chart, graph, data analysis, formatting, conditional formatting, data validation, workbook, worksheet, cell reference, named range, macro. Use when: creating spreadsheets, editing Excel files, analyzing tabular data, building formulas, creating charts/graphs, working with CSV/TSV, preserving spreadsheet templates.

code-review
Python

Code review practices with technical rigor and verification gates. Practices: receiving feedback, requesting reviews, verification gates. Capabilities: technical evaluation, evidence-based claims, PR review, subagent-driven review, completion verification. Actions: review, evaluate, verify, validate code changes. Keywords: code review, PR review, pull request, technical feedback, review feedback, completion claim, verification, evidence-based, code quality, review request, technical rigor, subagent review, code-reviewer, review gate, merge criteria. Use when: receiving code review feedback, completing major features, making completion claims, requesting systematic reviews, validating before merge, preventing false completion claims.

gemini-cli
Python

Google Gemini CLI orchestration for AI-assisted development. Capabilities: second opinion/cross-validation, real-time web search (Google Search), codebase architecture analysis, parallel code generation, code review from different perspective. Actions: query, search, analyze, generate, review with Gemini. Keywords: Gemini CLI, second opinion, cross-validation, Google Search, web research, current information, parallel AI, code review, architecture analysis, gemini prompt, AI comparison, real-time search, alternative perspective, code generation. Use when: needing second AI opinion, searching current web information, analyzing codebase architecture, generating code in parallel, getting alternative code review, researching current events/docs.

ui-design-system
Python

React UI component systems with TailwindCSS + Radix + shadcn/ui. Stack: TailwindCSS (styling), Radix UI (primitives), shadcn/ui (components), React/Next.js. Capabilities: design system architecture, accessible components, responsive layouts, theming, dark mode, component composition. Actions: review, design, build, improve, refactor UI components. Keywords: TailwindCSS, Radix UI, shadcn/ui, design system, component library, accessibility, ARIA, responsive, dark mode, theming, CSS variables, component architecture, atomic design, design tokens, variant, slot, composition. Use when: building component libraries, implementing shadcn/ui, creating accessible UIs, setting up design systems, adding dark mode/theming, reviewing UI component architecture.

claude-md-architect
Python

CLAUDE.md file generation and optimization for Claude Code projects. Capabilities: initialize project instructions, analyze codebase context, optimize existing CLAUDE.md, apply Anthropic best practices, reduce token usage, improve effectiveness. Actions: init, create, optimize, enhance CLAUDE.md files. Keywords: CLAUDE.md, project instructions, Claude Code setup, project context, codebase analysis, Anthropic best practices, token optimization, project configuration, AI instructions, coding guidelines, project rules, workspace setup. Use when: initializing CLAUDE.md for new projects, optimizing existing project instructions, setting up Claude Code for a codebase, improving AI coding guidelines.

claude-extensibility
Python

Claude Code extensibility: agents, skills, output styles. Capabilities: create/update/delete agents and skills, YAML frontmatter, system prompts, tool/model selection, resumable agents, CLI-defined agents. Actions: create, edit, delete, optimize, test extensions. Keywords: agent, skill, output-style, SKILL.md, subagent, Task tool, progressive disclosure. Use when: creating agents/skills, editing extensions, configuring tool access, choosing models, testing activation.

mcp
Python

Model Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.

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