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Claude Skills by VersoXBT

github.com/VersoXBT
76 skillsA× 74B× 1C× 10 installs28 views
Skill AuditingA

Activates when the user wants to see their installed skills, mentions "skill manager", "check my skills", "skill audit", "what skills do I have", "skill updates", "newer version", "outdated plugins", or wants to know what's installed and where it comes from.

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Parallel Task ExecutionA

Patterns for running independent tasks in parallel using multiple tool calls and Agent invocations. Use when the user has multiple independent operations, asks about fan-out/fan-in, or wants to speed up multi-step workflows.

data-aibashreact
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Subagent PatternsA

Patterns for when and how to use Claude Code subagents via the Agent tool. Use when the user needs to delegate research, run parallel investigations, protect the main context window, or asks about subagent types like Explore or Plan.

data-airustgo
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Task CoordinationA

Patterns for using TaskCreate, TaskUpdate, TaskList, and TaskGet to coordinate multi-step work. Use when the user has a complex project with multiple steps, needs progress tracking, dependency management, or multi-agent task assignment.

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Agent CommunicationA

Patterns for inter-agent communication including message passing, shared state, event-driven architectures, pub/sub, inbox/outbox, and structured vs freeform messages. Use when the user is building systems where multiple agents need to communicate, share information, coordinate work, or pass data between processing stages.

data-aipythonreact
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Context ManagementA

Strategies for managing AI agent context windows including optimization, summarization, retrieval-augmented generation, progressive disclosure, and pruning. Use when the user is hitting context limits, building long-running agents, implementing RAG, optimizing token usage, or designing systems that need to manage large amounts of information within limited context windows.

data-aipythonapi
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Multi Agent OrchestrationA

Patterns for multi-agent systems including orchestrator, pipeline, consensus, delegation, supervisor, and swarm patterns. Use when the user is building multi-agent workflows, coordinating multiple AI agents, implementing agent delegation or supervision, or designing systems where agents collaborate on complex tasks.

data-aipythongo
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Deploy StrategiesA

Guide for deployment strategies including blue-green, canary, rolling updates, feature flags, and rollback procedures. Use when the user asks about deployment patterns, zero-downtime deployments, release strategies, or rollback plans. Trigger whenever deployment, release management, or production rollout is discussed.

data-aitypescriptbash
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Github Actions GuideA

Guide for writing GitHub Actions workflows with triggers, reusable workflows, matrix strategies, caching, secrets, and composite actions. Use when the user creates or modifies GitHub Actions workflows, asks about CI/CD on GitHub, or needs help with workflow syntax. Trigger whenever GitHub Actions, .github/workflows, or CI pipelines on GitHub are mentioned.

data-aipythongo
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Pipeline PatternsA

Guide for designing CI/CD pipelines with artifact management, environment promotion, parallel jobs, quality gates, and notifications. Use when the user designs a CI/CD pipeline, asks about deployment workflows, needs to structure build-test-deploy stages, or wants to optimize pipeline performance. Trigger whenever CI/CD architecture or pipeline design is discussed.

data-aidockergit
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Anthropic Sdk GuideA

Guide for Anthropic Python/TypeScript SDK usage including messages API, streaming, prompt caching, batches, token counting, and error handling. Use when the user is building with the Anthropic API, setting up Claude SDK, calling messages endpoints, implementing streaming, or troubleshooting API errors.

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Prompt EngineeringA

Prompt engineering patterns for Claude including system prompts, few-shot examples, chain-of-thought, structured output, templates, and prefilling. Use when the user is writing prompts, designing system instructions, extracting structured data, building prompt templates, or optimizing Claude responses for quality and consistency.

data-aitypescriptpython
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Tool Use PatternsA

Patterns for Claude tool use including tool definition schemas, multi-tool orchestration, parallel tool calls, error handling, and result formatting. Use when the user is defining tools for Claude, building agentic workflows with tool calling, handling tool errors, or implementing multi-step tool pipelines.

data-aipythongo
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Automated Review SetupA

Set up automated code quality tools: ESLint, Prettier, pre-commit hooks, and CI linting. Activate whenever the user sets up a new project, asks about code formatting, configures linters, sets up Git hooks, or mentions Husky, lint-staged, CODEOWNERS, or pre-commit hooks. Also activate when discussing consistent code style enforcement.

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Pr StandardsA

Enforce pull request best practices: size limits, description templates, testing requirements, and review workflows. Activate whenever the user creates a PR, asks about PR best practices, sets up PR templates, discusses code review turnaround, or mentions PR size, review requirements, or branch protection rules.

data-aitestingrefactoring
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Review ChecklistA

Systematic code review checklist with severity classification. Activate whenever the user asks for a code review, wants feedback on their code, submits a PR for review, or asks what to look for when reviewing code. Also activate when writing review comments or discussing code quality standards.

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File OrganizationA

Guide file and directory organization for maintainable codebases. Use when the user creates new files, asks where to put code, plans project structure, or when a file exceeds 400 lines. Apply when scaffolding new projects or refactoring large files into smaller modules.

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Immutability PatternsA

Enforce immutable data patterns across JavaScript, TypeScript, Python, and Go. Use when the user writes code that mutates objects, arrays, or state. Apply whenever modifying data structures, updating state, or reviewing code for mutation bugs. Always prefer immutable patterns over in-place mutation.

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Naming ConventionsA

Enforce consistent naming conventions for variables, functions, files, and more. Use when the user names variables, functions, classes, files, database columns, or constants. Apply when reviewing code for naming consistency or when the user asks about naming best practices.

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Branching StrategyA

Guide git branching strategies, branch naming, and merge/rebase decisions. Use when the user creates branches, asks about Git Flow vs trunk-based development, discusses merge vs rebase, or is setting up a new repository's branching model.

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Commit ConventionsA

Enforce conventional commits format with proper types, scopes, and breaking change notation. Use when the user is committing code, writing commit messages, asks about commit format, or when you are about to create a git commit. Always apply this skill before running git commit.

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Pr WorkflowA

Guide pull request creation, review process, CI gates, and merge strategies. Use when the user creates a PR, asks about PR templates, review workflows, CODEOWNERS setup, or merge strategies. Apply when running gh pr create.

data-aigobash
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Migration PatternsA

Guide for database schema migrations with zero-downtime patterns, rollback strategies, data migrations, and migration testing. Use when the user writes database migrations, asks about schema changes in production, needs zero-downtime migration patterns, or plans rollback strategies. Trigger whenever database migration, schema change, or ALTER TABLE in production is discussed.

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Query OptimizationA

Guide for optimizing SQL queries with EXPLAIN ANALYZE, index tuning, N+1 detection, covering indexes, and query plan analysis. Use when the user has slow database queries, asks about query performance, needs to interpret EXPLAIN output, or wants to eliminate N+1 queries. Trigger whenever query performance, slow queries, or database optimization is discussed.

data-aipythongo
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Schema Design GuideA

Guide for relational database schema design with normalization, indexing strategy, constraints, naming conventions, and denormalization tradeoffs. Use when the user designs database tables, asks about normalization, needs indexing advice, or defines foreign key relationships. Trigger whenever database schema, table design, or data modeling is discussed.

data-aigosql
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Error TracingA

Read stack traces, follow error chains, and trace errors to their root cause. Use when the user encounters an error message, stack trace, exception, or crash. Apply when debugging async errors, React error boundaries, source map issues, or when an error message is unclear.

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Log AnalysisA

Implement structured logging and analyze logs to diagnose issues. Use when the user sets up logging, asks about log levels, needs to trace requests through distributed systems, or is analyzing log output to debug a problem. Apply when adding logging to any application.

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Systematic DebuggingA

Apply structured debugging techniques to find and fix bugs efficiently. Use when the user reports a bug, encounters unexpected behavior, says something is "not working", or asks for help debugging. Apply hypothesis-driven debugging instead of random changes.

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Django Admin CustomizationA

Customize Django admin: ModelAdmin, inline models, custom actions, list_display, list_filter, search, admin site customization, and custom views. Use when the user configures Django admin, asks about admin customization, registers models, or needs admin-side data management features. Trigger when you see bare admin.site.register() calls without ModelAdmin classes.

data-aipythongo
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Django Orm MasteryA

Master Django ORM patterns: QuerySets, select_related, prefetch_related, F/Q objects, annotations, aggregations, and raw SQL safety. Use when the user writes Django database queries, asks about ORM optimization, encounters N+1 queries, or works with complex filtering and aggregation. Trigger when you see inefficient Django queries.

data-aipythongo
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Drf Api PatternsA

Build REST APIs with Django REST Framework: serializers, ViewSets, permissions, pagination, filtering with django-filter, throttling, and versioning. Use when the user builds Django APIs, asks about DRF patterns, implements CRUD endpoints, or needs API authentication and permissions. Trigger when you see Django views returning JSON manually instead of using DRF.

data-aipythongo
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Docker Compose GuideA

Guide for writing Docker Compose files with services, networks, volumes, health checks, and environment management. Use when the user creates or modifies docker-compose.yml, asks about multi-container setups, local development environments, or service orchestration. Trigger whenever Docker Compose, multi-container, or local dev environment is mentioned.

data-aishellbash
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Dockerfile Best PracticesC

Guide for writing production-ready Dockerfiles with multi-stage builds, layer caching, security hardening, and optimized image sizes. Use when the user creates a Dockerfile, asks about Docker image optimization, mentions container security, or needs help with build performance. Trigger whenever Docker or container packaging is discussed.

data-aipythongo
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Multi Stage BuildsB

Guide for Docker multi-stage builds with builder patterns, distroless and alpine base images, cache mounts, and build args. Use when the user needs to optimize Docker image size, separate build from runtime dependencies, or improve build performance. Trigger when the user mentions multi-stage, distroless, slim images, or Docker build optimization.

data-aitypescriptpython
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Express Error HandlingA

Express.js error handling patterns including async error catching, custom error classes, centralized error middleware, and the distinction between operational and programmer errors. Use when the user is handling errors in Express, writing async route handlers, creating custom error types, or debugging unhandled rejections. Trigger on mentions of Express error handling, async errors, error middleware, AppError, or unhandled exceptions in Node.js.

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Middleware PatternsA

Express middleware chain patterns including auth middleware, error middleware, rate limiting, CORS configuration, and request validation. Use when the user is building Express.js APIs, configuring middleware, implementing authentication guards, adding rate limiting, or setting up CORS. Trigger on any mention of Express middleware, request pipeline, auth guards, rate limiting, or Express CORS.

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Rest Api NodeA

RESTful API design conventions for Node.js including resource naming, pagination, filtering, sorting, HATEOAS links, versioning, and content negotiation. Use when the user is designing REST APIs, asking about pagination or filtering patterns, implementing API versioning, or building CRUD endpoints. Trigger on mentions of REST API design, API pagination, query parameters, HATEOAS, API versioning, or RESTful conventions.

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Async FastapiA

Build async FastAPI applications with async/await endpoints, background tasks, middleware, lifespan events, WebSockets, and streaming responses. Use when the user builds a FastAPI app, asks about async patterns, implements real-time features, or needs non-blocking I/O. Trigger when you see synchronous code in FastAPI that should be async.

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Dependency Injection FastapiA

Implement FastAPI dependency injection with Depends(), security dependencies, database session management, request-scoped deps, and testing with overrides. Use when the user builds FastAPI endpoints, manages database connections, implements auth, or asks about dependency injection. Trigger when you see repeated setup logic in endpoint functions that should be extracted to dependencies.

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Pydantic ValidationA

Validate data with Pydantic v2: BaseModel, Field validators, model validators, computed fields, discriminated unions, and custom types. Use when the user defines API schemas, validates input data, works with Pydantic models, or asks about data validation in Python. Trigger when you see dict-based data handling that should use Pydantic models.

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Concurrency Patterns GoA

Apply safe, idiomatic Go concurrency patterns with goroutines and channels. Use when the user works with goroutines, channels, sync primitives, context cancellation, worker pools, fan-in/fan-out, select statements, or asks about concurrent Go programming and avoiding race conditions.

data-aigo
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Error Handling GoA

Implement robust Go error handling with wrapping, sentinel errors, and custom types. Use when the user handles errors in Go, creates custom error types, wraps errors with fmt.Errorf and %w, uses errors.Is/As, or asks about Go error best practices and error propagation strategies.

data-aigosql
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Idiomatic GoA

Write clean, idiomatic Go following community conventions and effective patterns. Use when the user writes Go code, designs packages, defines interfaces, uses struct embedding, writes receiver methods, organizes Go projects, or asks about Go best practices and conventions.

data-aigosql
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Automation TriggersA

Patterns for auto-format on save, auto-lint, auto-test on file change, and CI triggers within Claude Code. Use when the user wants automated reactions to file changes, wants to set up continuous feedback loops, or asks about triggering actions automatically.

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Hook RecipesA

Ready-to-use hook recipes for common Claude Code automation: prettier on edit, tsc check, console.log warning, git push review, doc blocker. Use when the user wants a specific hook example, asks "how do I auto-format" or "block markdown creation", or needs a hook for a common development workflow.

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Pre Post HooksA

Guide for configuring PreToolUse, PostToolUse, and Stop hooks in Claude Code. Use when the user asks about hooks, wants to run commands before/after tool calls, needs auto-formatting, auto-linting, validation gates, or mentions settings.json hook config.

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Junit TestingA

JUnit 5 testing patterns including annotations, Mockito mocking, Spring Boot test slices, MockMvc, Testcontainers integration, and parameterized tests. Use when the user is writing Java tests, setting up test infrastructure, mocking dependencies, testing Spring controllers, or running integration tests with real databases. Trigger on any mention of JUnit, Mockito, @SpringBootTest, MockMvc, Testcontainers, or Java testing.

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Maven Gradle GuideA

Maven and Gradle build tool patterns including pom.xml structure, build.gradle.kts configuration, multi-module projects, dependency management, plugins, and BOMs. Use when the user is setting up Java/Kotlin build configurations, managing dependencies, creating multi-module projects, or troubleshooting build issues. Trigger on any mention of Maven, Gradle, pom.xml, build.gradle, dependency management, or Java build tools.

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Spring Boot PatternsA

Spring Boot patterns including stereotype annotations, dependency injection, profiles, configuration properties, and actuator endpoints. Use when the user is building Spring Boot applications, configuring dependency injection, setting up profiles for different environments, using @ConfigurationProperties, or enabling actuator health checks. Trigger on any mention of Spring Boot, @Component, @Service, @Repository, Spring DI, Spring profiles, or actuator.

data-aijavasql
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Mcp Resource PatternsA

Patterns for MCP resources including URIs, templates, subscriptions, dynamic resources, context provision, and MIME types. Use when the user is exposing data as MCP resources, designing resource URIs, implementing resource templates with parameters, setting up resource subscriptions, or providing context to Claude through resources.

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