Claude Skills by willvelida

github.com/willvelida

40 skillsA× 401 installs77 views

AccessibilityAWCAG 2.2 compliance, ARIA patterns, keyboard navigation, screen reader support, and inclusive design. Use when: reviewing accessibility, adding ARIA attributes, fixing contrast issues, implementing keyboard navigation, creating accessible forms, building accessible components, WCAG audit.data-aitestingVotes: 0GitHub stars: 6
Agentic VulnerabilitiesAOWASP Agentic Security Top 10 vulnerability knowledge base for identifying, assessing, and remediating security risks in AI agent systems.data-airustgoVotes: 0GitHub stars: 6
Blazor DesignABlazor component architecture, Razor component patterns, Radzen UI library, and Blazor-specific UX patterns. Use when: building Blazor components, structuring Razor component hierarchy, using Radzen components, implementing Blazor forms, managing component state, Blazor rendering modes, Blazor layout design.data-aiapiVotes: 0GitHub stars: 6
Cicd VulnerabilitiesAOWASP CI/CD Top 10 vulnerability knowledge base for identifying, assessing, and remediating security risks in continuous integration and continuous delivery environments.data-aigogitVotes: 0GitHub stars: 6
Docker VulnerabilitiesAOWASP Docker Top 6 vulnerability knowledge base for identifying, assessing, and remediating security risks in containerized Docker environments.data-aigodockerVotes: 0GitHub stars: 6
Dotnet Best PracticesAEnsure .NET/C# code meets best practices for the solution/project.data-aic#testingVotes: 0GitHub stars: 6
Skills DirectorySkills Directory Look up any of 103,619 scanned skills — grade, score, and every finding. Free.Check a skill
Dsa Algorithm ParadigmsACore algorithm design paradigms including dynamic programming, greedy algorithms, divide and conquer, sorting, searching, and backtracking with decision guidance and trade-off analysis. Use when: selecting an algorithm paradigm for a new problem, teaching dynamic programming memoisation vs tabulation, reviewing greedy algorithm correctness, explaining divide-and-conquer recursion, analysing sorting algorithm choices, or recognising which algorithmic strategy applies to a given problem shape.data-aigoazureVotes: 0GitHub stars: 6
Dsa FoundationsABig-O complexity analysis, recursion, foundational data structures, and problem decomposition for engineers without a formal CS background. Use when: analyzing algorithm complexity, performing Big-O analysis, selecting data structures, reviewing code for structural efficiency, teaching recursion fundamentals, or explaining time and space trade-offs.data-aigoVotes: 0GitHub stars: 6
Dsa GraphsAGraph representations, BFS, DFS, topological sort, shortest path algorithms, and dependency analysis. Use when: teaching graph theory, analyzing service dependency topologies, implementing BFS or DFS traversal, detecting cycles in dependency graphs, performing topological ordering of tasks, or explaining directed acyclic graph (DAG) patterns in microservice or workflow architectures.data-aigonodeVotes: 0GitHub stars: 6
Dsa Interview PatternsAClassic coding interview patterns including two pointers, sliding window, binary search variants, fast/slow pointers, prefix sums, interval merging, and monotonic stack. Use when: solving array or string problems under interview constraints, recognising which pattern fits a given input shape, implementing cursor-based pagination, analysing date-range or sorted time-series queries, reviewing LINQ chains for hidden complexity, or teaching pattern-first problem solving.data-aigonodeVotes: 0GitHub stars: 6
Dsa Linear StructuresAArrays, strings, hash tables, linked lists, stacks, and queues — core linear data structures with complexity analysis, implementation patterns, and common problems. Use when: teaching linear data structures, reviewing code for data structure optimization, analyzing collection operation complexity, solving problems involving arrays or hash tables, implementing sliding window algorithms, or analyzing buffered/streamed data processing.data-aigonodeVotes: 0GitHub stars: 6
Dsa System DesignAScalability fundamentals, data partitioning, caching strategies, rate limiting, distributed systems patterns, and microservices data design — bridging classical DSA concepts to real production architecture decisions. Use when: designing or reviewing distributed system components, selecting a Cosmos DB partition key, implementing rate limiting or throttling policies, choosing caching strategies, analysing microservice communication patterns, or explaining CAP theorem trade-offs in the context ...data-aigoazureVotes: 0GitHub stars: 6
Dsa Trees And HeapsABinary trees, BSTs, heaps, priority queues, tries, and tree traversal patterns with complexity analysis and practical trade-offs. Use when: teaching tree or heap data structures, analyzing priority queue implementations, reviewing BFS or DFS traversal code, optimizing sorted collection usage, explaining BST vs heap trade-offs, or modeling hierarchical data.data-ainodeapiVotes: 0GitHub stars: 6
Front End PerformanceAFront-end performance optimization including Core Web Vitals, render performance, asset optimization, and perceived speed. Use when: diagnosing slow page loads, optimizing Largest Contentful Paint (LCP), reducing Cumulative Layout Shift (CLS), improving Interaction to Next Paint (INP), bundle size analysis, lazy loading, caching strategies.data-aijavascriptgoVotes: 0GitHub stars: 6
Infrastructure VulnerabilitiesAOWASP Infrastructure Top 10 vulnerability knowledge base for identifying, assessing, and remediating security risks in internal IT infrastructure environments.data-aigogitVotes: 0GitHub stars: 6
Llm VulnerabilitiesAOWASP Top 10 for LLM Applications (2025) vulnerability knowledge base for identifying, assessing, and remediating security risks in large language model systems.data-aigogitVotes: 0GitHub stars: 6
Mcp VulnerabilitiesAOWASP MCP Top 10 vulnerability knowledge base for identifying, assessing, and remediating security risks in Model Context Protocol environments.data-aigitsecurityVotes: 0GitHub stars: 6
Ml VulnerabilitiesAOWASP Machine Learning Top 10 vulnerability knowledge base for identifying, assessing, and remediating security risks in machine learning systems.data-aigogitVotes: 0GitHub stars: 6
Mobile DesignAMobile-first responsive design patterns, touch interaction guidelines, and adaptive layouts. Use when: designing for mobile viewports, implementing responsive breakpoints, optimizing touch targets, creating adaptive navigation, handling mobile-specific UX like swipe gestures or bottom sheets.data-aiperformanceVotes: 0GitHub stars: 6
Mobile VulnerabilitiesAOWASP Mobile Top 10 vulnerability knowledge base for identifying, assessing, and remediating security risks in mobile application environments.data-aigogitVotes: 0GitHub stars: 6
Oss VulnerabilitiesAOWASP Open Source Software Top 10 vulnerability knowledge base for identifying, assessing, and remediating security risks in open source software dependencies.data-aigogitVotes: 0GitHub stars: 6
Sdd 1 ExploreADeep codebase research before feature specification — read-only exploration. Use when: starting a new SDD cycle, researching a feature or change before specification, gathering evidence about codebase patterns and constraints.data-aigoapiVotes: 0GitHub stars: 6
Sdd 2 SpecifyACreate technology-free feature specification — WHAT and WHY, not HOW. Use when: writing a feature specification after the Explore phase, defining acceptance criteria and complexity scores, documenting goals and non-goals.data-aigotestingVotes: 0GitHub stars: 6
Sdd 2b Prep IssueAGenerate structured GitHub Issue text from SDD spec and plan artifacts. Use when: a specification is complete and needs to be represented as a GitHub Issue for external tracking, sprint planning, or team visibility.data-aigogitVotes: 0GitHub stars: 6
Sdd 2c WorkshopADeep design exploration for Workshop Opportunities identified in a specification. Use when: a spec has Workshop Opportunities that need detailed design analysis before clarification, or when a complex topic needs structured option evaluation.data-aigoVotes: 0GitHub stars: 6
Sdd 3 ClarifyAResolve specification ambiguities through targeted questions. Use when: a specification has NEEDS CLARIFICATION markers, open questions need resolution, or workflow mode and testing approach need to be decided.data-aigotestingVotes: 0GitHub stars: 6
Sdd 3a AdrAGenerate an Architecture Decision Record from SDD spec and clarifications. Use when: a feature requires decisions that outlive the feature itself, such as introducing a new datastore, changing a boundary, or adopting a pattern that becomes precedent.data-aisecurityVotes: 0GitHub stars: 6
Sdd 4 ArchitectAGenerate phased implementation blueprint with parallel research subagents. Use when: a clarified specification is ready for architecture planning, creating task tables, scoring complexity, and defining implementation phases.data-aigotestingVotes: 0GitHub stars: 6
Sdd 4a ValidateAValidate plan readiness before implementation with parallel quality gates. Use when: a plan has been created by the Architect phase and you want to verify completeness, doctrine compliance, and dependency ordering before starting implementation.data-aigoapiVotes: 0GitHub stars: 6
Sdd 4b DidyouknowABuild shared understanding by surfacing non-obvious insights from SDD artifacts. Use when: before complex implementation, after creating a spec or plan, when feeling uncertain about assumptions, or between the Architect and Implement phases.data-aigoVotes: 0GitHub stars: 6
Sdd 5 ImplementAExecute one implementation phase with progress tracking and verification. Use when: implementing tasks from an SDD plan, logging discoveries, updating task tables, and running build/test verification per phase.data-aigogitVotes: 0GitHub stars: 6
Sdd 6 ReviewAQuality gate review with structured findings and verdict. Use when: reviewing a completed implementation phase, checking spec compliance, convention adherence, test coverage, and issuing APPROVE or REQUEST_CHANGES verdicts.data-aigogitVotes: 0GitHub stars: 6
Sdd 7 EvolveAEncode learnings from completed SDD cycles into the agent harness. Use when: a review has been approved and learnings need to be extracted, classified, and encoded into instruction files, copilot-instructions, or AGENTS.md.data-aigoc#Votes: 0GitHub stars: 6
Serverless VulnerabilitiesAOWASP Serverless Top 10 vulnerability knowledge base for identifying, assessing, and remediating security risks in serverless application environments.data-aigogitVotes: 0GitHub stars: 6
Web DesignAWeb design fundamentals including layout systems, CSS architecture, design tokens, typography, and component-based UI patterns. Use when: building page layouts, creating design systems, structuring CSS, choosing layout approaches (grid vs flexbox), implementing design tokens, theming.data-aiawsapiVotes: 0GitHub stars: 6
Web VulnerabilitiesAOWASP Top 10 for Web Applications (2025) vulnerability knowledge base for identifying, assessing, and remediating security risks in web application environments.data-aigogitVotes: 0GitHub stars: 6
Chart Best PracticesABest practices for creating professional health data visualizations with matplotlib and seaborndata-aigoVotes: 0GitHub stars: 6
Health Data AnalysisABiotrackr health data schema, metric extraction patterns, and analysis techniques for Fitbit activity datadata-aipythongoVotes: 0GitHub stars: 6
Report TemplateAStandardized report structure, recommendations, and reportlab PLATYPUS patterns for all Biotrackr health reportsdata-aipythongoVotes: 0GitHub stars: 6
Harness HealthAAgent drifts, ignores conventions, or misses stale guidance. Audits Biotrackr harness health across four dimensions.ai-agentsgobashVotes: 0GitHub stars: 6