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Claude Skills by mattnigh
github.com/mattnigh2,026 skills0 installs2,763 views
- CollectionGuide for creating effective skills using TypeScript/Bun scripts (Windows-compatible). Use when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.Votes: 0GitHub stars: 24
- CollectionUse this skill when working with UFC fighter images including downloading from multiple sources (Wikimedia, Sherdog, Bing), detecting and replacing placeholder images, handling duplicates, normalizing image sizes, validating image quality, syncing filesystem to database, or running the complete image pipeline. Handles missing images, batch downloads, and multi-source orchestration.Votes: 0GitHub stars: 24
- CollectionUse this skill when receiving any task that might benefit from parallel execution. Auto-detects parallelizable work patterns based on task description and suggests optimal execution strategy (Claude sub-agents, Codex handoff, or direct implementation). Invoke BEFORE starting implementation of multi-file tasks.Votes: 0GitHub stars: 24
- CollectionSimple Mode - Natural language orchestrator for TappsCodingAgents. Coordinates multiple skills (@enhancer, @planner, @architect, @designer, @implementer, @reviewer, @tester, @debugger, @improver) based on user intent.Votes: 0GitHub stars: 24
- CollectionSystematic API design methodology with 6 validated patterns covering parameter categorization, safe refactoring, audit-first approach, automated validation, quality gates, and example-driven documentation. Use when designing new APIs, improving API consistency, implementing breaking change policies, or building API quality enforcement. Provides deterministic decision trees (5-tier parameter system), validation tool architecture, pre-commit hook patterns. Validated with 82.5% cross-domain tran...Votes: 0GitHub stars: 24
- CollectionAchieve comprehensive baseline (V_meta ≥0.40) in iteration 0 to enable rapid convergence. Use when planning iteration 0 time allocation, domain has established practices to reference, rich historical data exists for immediate quantification, or targeting 3-4 iteration convergence. Provides 4 quality levels (minimal/basic/comprehensive/exceptional), component-by-component V_meta calculation guide, and 3 strategies for comprehensive baseline (leverage prior art, quantify baseline, domain univer...Votes: 0GitHub stars: 24
- CollectionSystematic methodology for standardizing cross-cutting concerns (error handling, logging, configuration) through pattern extraction, convention definition, automated enforcement, and CI integration. Use when codebase has inconsistent error handling, ad-hoc logging, scattered configuration, need automated compliance enforcement, or preparing for team scaling. Provides 5 universal principles (detect before standardize, prioritize by value, infrastructure enables scale, context is king, automate...Votes: 0GitHub stars: 24
- CollectionComprehensive error handling methodology with 13-category taxonomy, diagnostic workflows, recovery patterns, and prevention guidelines. Use when error rate >5%, MTTD/MTTR too high, errors recurring, need systematic error prevention, or building error handling infrastructure. Provides error taxonomy (file operations, API calls, data validation, resource management, concurrency, configuration, dependency, network, parsing, state management, authentication, timeout, edge cases - 95.4% coverage),...Votes: 0GitHub stars: 24
- CollectionApply Bootstrapped AI Methodology Engineering (BAIME) to develop project-specific methodologies through systematic Observe-Codify-Automate cycles with dual-layer value functions (instance quality + methodology quality). Use when creating testing strategies, CI/CD pipelines, error handling patterns, observability systems, or any reusable development methodology. Provides structured framework with convergence criteria, agent coordination, and empirical validation. Validated in 8 experiments wit...Votes: 0GitHub stars: 24
- CollectionAchieve 3-4 iteration methodology convergence (vs standard 5-7) when clear baseline metrics exist, domain scope is focused, and direct validation is possible. Use when you have V_meta baseline ≥0.40, quantifiable success criteria, retrospective validation data, and generic agents are sufficient. Enables 40-60% time reduction (10-15 hours vs 20-30 hours) without sacrificing quality. Prediction model helps estimate iteration count during experiment planning. Validated in error recovery (3 itera...Votes: 0GitHub stars: 24
- CollectionValidate methodology effectiveness using historical data without live deployment. Use when rich historical data exists (100+ instances), methodology targets observable patterns (error prevention, test strategy, performance optimization), pattern matching is feasible with clear detection rules, and live deployment has high friction (CI/CD integration effort, user study time, deployment risk). Enables 40-60% time reduction vs prospective validation, 60-80% cost reduction. Confidence calculation...Votes: 0GitHub stars: 24
- CollectionSystematic technical debt quantification and management using SQALE methodology with value-effort prioritization, phased paydown roadmaps, and prevention strategies. Use when technical debt unmeasured or subjective, need objective prioritization, planning refactoring work, establishing debt prevention practices, or tracking debt trends over time. Provides 6 methodology components (measurement with SQALE index, categorization with code smell taxonomy, prioritization with value-effort matrix, p...Votes: 0GitHub stars: 24
- CollectionIntelligence-first code analysis for bugs, architecture, performance, and security. Use proactively when investigating code issues, tracing dependencies, or understanding system behavior. MUST query project-intel.mjs before reading files.Votes: 0GitHub stars: 24
- CollectionCreate detailed implementation plans from feature specs or bug reports with testable acceptance criteria. Use proactively when planning features, refactors, or fixes. Every task MUST have minimum 2 testable ACs and map to requirements.Votes: 0GitHub stars: 24
- CollectionComprehensive Next.js project setup from scratch following industry best practices. Use when creating new Next.js projects, requiring template selection, design system ideation, specifications, wireframes, implementation with TDD, QA validation, and complete documentation. Handles both simple quick-start and complex multi-phase projects with sub-agent orchestration.Votes: 0GitHub stars: 24
- CollectionIntelligence-first code analysis for bugs, architecture, performance, and security. Use proactively when investigating code issues, tracing dependencies, or understanding system behavior. MUST query project-intel.mjs before reading files.Votes: 0GitHub stars: 24
- CollectionDebug bugs and errors using intel-first approach with systematic root cause analysis. Use proactively when errors occur, tests fail, or unexpected behavior appears. MUST trace from symptom to root cause with CoD^Σ reasoning.Votes: 0GitHub stars: 24
- CollectionImplement tasks from plans with test-first approach, user-story-centric execution, and AC verification. Use proactively when executing implementation plans. Enforces quality gates, MVP-first delivery, and Article VII story-by-story implementation.Votes: 0GitHub stars: 24
- CollectionIntelligence-first code analysis for bugs, architecture, performance, and security. Use proactively when investigating code issues, tracing dependencies, or understanding system behavior. MUST query project-intel.mjs before reading files.Votes: 0GitHub stars: 24
- CollectionGenerate user-story-organized task lists from implementation plans. Use when plan exists and user is ready for implementation, mentions "create tasks", "break down work", or asks "what tasks are needed" to implement the feature.Votes: 0GitHub stars: 24
- CollectionDerive technical development principles FROM user needs in product.md using evidence-based reasoning. Creates constitution.md with architecture decisions, tech stack choices, and development constraints - all traced back to specific user needs. Use when user mentions "technical principles", "constitution", "architecture decisions", or after creating product.md.Votes: 0GitHub stars: 24
- CollectionGenerate user-story-organized task lists from implementation plans. Use when plan exists and user is ready for implementation, mentions "create tasks", "break down work", or asks "what tasks are needed" to implement the feature.Votes: 0GitHub stars: 24
- CollectionImplement tasks from plans with test-first approach, user-story-centric execution, and AC verification. Use proactively when executing implementation plans. Enforces quality gates, MVP-first delivery, and Article VII story-by-story implementation.Votes: 0GitHub stars: 24
- CollectionOrchestrate Specification-Driven Development (SDD) workflow. Use when user wants to create features, implement specs, check workflow status, or follow the SDD process. Triggers on: "create feature", "implement", "what's the SDD status", "follow SDD", "spec-driven", "specification", "run /feature", "run /implement", "next SDD step". Automatically validates prerequisites, routes to correct phase, and updates plans/todos after completion.Votes: 0GitHub stars: 24
- CollectionProvides expertise on how to plan for work in this repoVotes: 0GitHub stars: 24
- CollectionProvides expertise on how to plan for work in this repoVotes: 0GitHub stars: 24
- CollectionProvides expertise on how to write effective unit tests (runtime and type tests), make testing decisions, and incorporate TDD into development workflowsVotes: 0GitHub stars: 24
- CollectionBasic MCP skill demonstrating CLI-based execution pattern for fetching URL contentVotes: 0GitHub stars: 24
- CollectionUse when creating or developing anything, before writing code or implementation plans - refines rough ideas into fully-formed designs through structured Socratic questioning, alternative exploration, and incremental validationVotes: 0GitHub stars: 24
- CollectionCapture content from JavaScript-rendered pages, login-protected sites, and multi-page documentation using Playwright MCP tools or Claude Chrome extension. Use when WebFetch fails on SPAs, dynamic content, or auth-required pages.Votes: 0GitHub stars: 24
- CollectionQuality criteria, workflows, and multi-agent analysis patterns for curating high-quality golden dataset entriesVotes: 0GitHub stars: 24
- CollectionBackup, restore, and validate golden datasets for AI/ML systems - ensuring test data integrity and preventing catastrophic data lossVotes: 0GitHub stars: 24
- CollectionValidation rules, schema checks, duplicate detection, and coverage analysis for golden dataset integrityVotes: 0GitHub stars: 24
- CollectionDesign and implement multi-agent workflows with LangGraph 0.2+ - state management, supervisor-worker patterns, conditional routing, and fault-tolerant checkpointingVotes: 0GitHub stars: 24
- CollectionAnalyze text for grammar, spelling, punctuation, and style issues. Execute Python script to perform detailed analysis. Use when checking grammar or proofreading.Votes: 0GitHub stars: 24
- CollectionAnalyze and optimize text for search engines. Execute Python script for detailed SEO analysis. Use when optimizing for keywords, search visibility, or content structure.Votes: 0GitHub stars: 24
- CollectionTrack and manage tasks, projects, and tags using a SQLite-backed task tracking system. Use for task creation, project planning, todo lists, and productivity workflows.Votes: 0GitHub stars: 24
- CollectionDocumentation standards for README.md and AGENTS.md files - tone, structure, thin AGENTS.md philosophyVotes: 0GitHub stars: 24
- CollectionPost-creation workflow for new packages in dx-toolkit monorepo - implementation, testing, publishingVotes: 0GitHub stars: 24
- CollectionPost-creation workflow for new Claude Code plugins - structure, commands, publishingVotes: 0GitHub stars: 24
- CollectionMicrosoft Teams.ai integration patterns for dx-toolkit - Memory API, Anthropic SDK, MCP client setupVotes: 0GitHub stars: 24
- Collection/work-log 스킬 가이드가 변경되었을 때 기존 work-logs 파일들을 새 형식에 맞게 일괄 동기화합니다.Votes: 0GitHub stars: 24
- CollectionUse when building or working with Vike + Vue SSR/SSG applications - establishes best practices for page creation, data fetching, routing, and layoutsVotes: 0GitHub stars: 24
- CollectionDEPRECATED - Use gpt-researcher skill instead. This browser automation approach has been replaced with the local GPT-Researcher framework using OpenAI o1.Votes: 0GitHub stars: 24
- CollectionGenerate podcast audio using NotebookLM Enterprise API via Google Cloud. Automates the manual NotebookLM workflow - creates notebook, uploads sources, generates audio with custom focus prompt. Requires Google Cloud project with Discovery Engine API enabled.Votes: 0GitHub stars: 24
- CollectionCreate Claude Code skills with proper structure and documentation. Use when building custom skills, writing SKILL.md files, or when user asks "write a skill" or "create Claude skill".Votes: 0GitHub stars: 24
- CollectionFull-stack Aptos dApp development combining Move contracts, TypeScript SDK, indexer queries, wallet integration, and modern frontend frameworks. Production-ready patterns for Web3 applications.Votes: 0GitHub stars: 24
- CollectionExpert in deploying Move contracts, running Aptos nodes, validator setup, network configuration, monitoring, and production operations.Votes: 0GitHub stars: 24
- CollectionExpert in Aptos GraphQL indexing, custom processors, transaction streaming, and querying on-chain data. Covers indexer API, processor SDK, event parsing, and data analytics.Votes: 0GitHub stars: 24
- CollectionExpert in Move smart contract development on Aptos. Covers modules, resources, abilities, generics, fungible assets, digital assets, testing, security, and advanced patterns.Votes: 0GitHub stars: 24