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Claude Skills by ssrjkk
github.com/ssrjkk159 skills1 installs43 views
- Tailwind V4Tailwind CSS v4 featuresVotes: 0GitHub stars: 2
- TypescriptApply TypeScript for type-safe JavaScript: type design, generics, utility types, strict mode, and integration with modern tooling. Use for any JS codebase.Votes: 0GitHub stars: 2
- VueBuild reactive user interfaces with Vue 3: Composition API, reactivity, components, state, and tooling. Use for any Vue-based UI work.Votes: 0GitHub stars: 2
- Expo RnExpo SDK for React Native developmentVotes: 0GitHub stars: 2
- FlutterBuild cross-platform mobile apps with Flutter: widgets, state management, navigation, platform channels, and release builds. Use for iOS/Android/desktop.Votes: 0GitHub stars: 2
- Browser AutomationAutomate browsers with Playwright: selectors, waits, assertions, screenshots, network interception, and CI. Use for E2E tests and scraping.Votes: 0GitHub stars: 2
- PytestWrite reliable Python tests with pytest: fixtures, parametrize, mocking, async tests, and CI integration. Use for any Python testing.Votes: 0GitHub stars: 2
- Oauth2 JwtImplements OAuth 2.0 authentication and JWT-based authorization with refresh tokens. Use for secure API access.Votes: 0GitHub stars: 2
- Owasp Web SecurityHarden web applications against the OWASP Top 10: injection, XSS, auth flaws, CSRF, SSRF, and insecure dependencies. Use for any web app security review.Votes: 0GitHub stars: 2
- Prompt EngineeringDesign effective prompts for LLMs: role framing, structured output, chain-of-thought, few-shot, and evaluation. Use to get reliable model behavior.Votes: 0GitHub stars: 2
- Ai TestingAI-powered test generation and validationVotes: 0GitHub stars: 2
- Algorithmic TradingBuild algorithmic trading systems: backtesting, strategy design, order execution, risk management, and market data pipelines. Use for quantitative finance.Votes: 0GitHub stars: 2
- Risk ModelingBuild financial risk models: VaR, CVaR, Monte Carlo simulation, stress testing, and portfolio risk decomposition. Use for quantitative risk management.Votes: 0GitHub stars: 2
- Game PhysicsImplement 2D/3D game physics: rigid bodies, collisions, constraints, raycasting, and performance optimization. Use for realistic game mechanics.Votes: 0GitHub stars: 2
- Unity EcsBuild scalable Unity games with Entity Component System (ECS): systems, queries, jobs, burst compilation, and DOTS patterns. Use for high-performance Unity.Votes: 0GitHub stars: 2
- Hipaa ComplianceImplement HIPAA compliance in healthcare software: PHI protection, access controls, audit logging, encryption, and breach notification. Use for health IT security.Votes: 0GitHub stars: 2
- Hl7 FhirBuild healthcare integrations with HL7 FHIR: resources, operations, SMART on FHIR apps, and clinical data exchange. Use for health IT interoperability.Votes: 0GitHub stars: 2
- Agent DevelopmentBuild reliable LLM agents and agentic workflows: tool use, memory, loops, guardrails, and evaluation. Use for autonomous AI systems.Votes: 0GitHub stars: 2
- Context EngineeringCurate LLM context windows for quality and cost: system prompts, compaction, just-in-time retrieval, progressive disclosure, and token budgets. Use for effective agent context.Votes: 0GitHub stars: 2
- EmbeddingsWork with text embeddings: model selection, vectorization, similarity, clustering, and caching for search and retrieval. Use for semantic representation of text.Votes: 0GitHub stars: 2
- Few Shot LearningDesigns and curates few-shot examples to guide LLM behavior, including example selection, formatting, and ordering. Use for task specification without fine-tuning.Votes: 0GitHub stars: 2
- Function CallingImplement robust LLM function/tool calling: schemas, multi-call handling, validation, error recovery, and structured execution. Use for agent tool use.Votes: 0GitHub stars: 2
- Llm EvalsBuild evaluation suites for LLM applications: golden datasets, metrics, LLM-as-judge, regression gates, and CI integration. Use for trustworthy model behavior.Votes: 0GitHub stars: 2
- Llm FinetuningFine-tunes open-source LLMs (Llama, Mistral, Qwen) using LoRA/QLoRA with HuggingFace and Unsloth. Use for domain-specific model adaptation.Votes: 0GitHub stars: 2
- Llm GuardrailsAdd safety guardrails to LLM apps: prompt injection defense, content filtering, PII protection, policy enforcement, and red-teaming. Use for safe production AI.Votes: 0GitHub stars: 2
- Mcp ServersBuild Model Context Protocol servers and clients: tools, resources, prompts, transport, and secure agent integration. Use for connecting agents to external systems.Votes: 0GitHub stars: 2
- MlopsOperate machine learning in production: experiment tracking, pipelines, model registry, serving, monitoring, and CI/CD for ML. Use for ML lifecycle.Votes: 0GitHub stars: 2
- Multi Agent OrchestrationDesign and run multi-agent systems: orchestrator-worker, routing, handoffs, shared state, and coordination patterns. Use for complex agent teams.Votes: 0GitHub stars: 2
- Prompt CachingOptimize LLM cost and latency with prompt caching: cacheable prefixes, cache-control headers, context layout, and cache-aware prompting. Use for high-volume apps.Votes: 0GitHub stars: 2
- Rag PipelineBuild retrieval-augmented generation pipelines: chunking, embeddings, vector search, hybrid retrieval, and citation. Use for grounded LLM answers over your data.Votes: 0GitHub stars: 2
- Structured OutputForce LLMs to emit valid, schema-constrained structured output: JSON modes, function calling, JSON Schema validation, and error recovery. Use for reliable data extraction.Votes: 0GitHub stars: 2
- Deno RuntimeDeno runtime and standard libraryVotes: 0GitHub stars: 2
- DjangoBuild secure web applications with Django: models, views, ORM, admin, auth, REST APIs, and deployment. Use for Python web backends.Votes: 0GitHub stars: 2
- DotnetBuild .NET backends with ASP.NET Core: minimal APIs, EF Core, dependency injection, middleware, and testing. Use for C# services.Votes: 0GitHub stars: 2
- ExpressBuild Node.js web APIs with Express: routing, middleware, error handling, validation, and production hardening. Use for Node backends.Votes: 0GitHub stars: 2
- FastapiBuild high-performance Python APIs with FastAPI: routing, Pydantic validation, async, dependency injection, OpenAPI, and testing. Use for any Python backend.Votes: 0GitHub stars: 2
- Go Rest ApiBuild production REST APIs in Go with the standard library or Gin, including routing, middleware, JSON handling, and testing. Use for performant backends.Votes: 0GitHub stars: 2
- GraphqlDesign and implement GraphQL APIs: schemas, resolvers, queries, mutations, subscriptions, and N+1 avoidance. Use for flexible client-driven APIs.Votes: 0GitHub stars: 2
- GrpcBuild high-performance services with gRPC: protobuf schemas, unary/streaming RPCs, interceptors, and error handling. Use for inter-service communication.Votes: 0GitHub stars: 2
- LaravelBuild PHP web applications with Laravel: routing, Eloquent ORM, Blade, migrations, validation, and deployment. Use for PHP backends.Votes: 0GitHub stars: 2
- NestjsCreates Node.js server-side applications with NestJS, modules, dependency injection, and decorators. Use for enterprise-grade Node.js APIs.Votes: 0GitHub stars: 2
- Rest Api DesignDesign consistent REST APIs: resource modeling, status codes, pagination, versioning, error contracts, and documentation. Use for any API design task.Votes: 0GitHub stars: 2
- Rust TokioAsync Rust with Tokio runtimeVotes: 0GitHub stars: 2
- Spring BootBuild production Java/Kotlin backends with Spring Boot: REST controllers, dependency injection, data access, security, and testing. Use for JVM services.Votes: 0GitHub stars: 2
- WebsocketsBuild real-time features with WebSockets: connection lifecycle, protocols, backpressure, scaling, and reconnection. Use for live updates and chat.Votes: 0GitHub stars: 2
- Zk ProofsZero-knowledge proof developmentVotes: 0GitHub stars: 2
- AirflowOrchestrate data pipelines with Apache Airflow: DAGs, tasks, dependencies, sensors, and retries. Use for scheduled workflows.Votes: 0GitHub stars: 2
- Apache SparkProcess large-scale data with Apache Spark: DataFrames, SQL, joins, partitioning, and optimization. Use for big data and ETL.Votes: 0GitHub stars: 2
- Data VisualizationCreate clear data visualizations with Matplotlib, Plotly, and Altair: chart selection, design, interactivity, and dashboards. Use for communicating data.Votes: 0GitHub stars: 2
- DbtBuild analytics engineering workflows with dbt: models, tests, sources, macros, and documentation. Use for transform-layer data pipelines.Votes: 0GitHub stars: 2