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Found 2,728 Skills
Shell script testing expertise using bash test framework patterns from unix-goto, covering test structure (arrange-act-assert), 4 test categories, assertion patterns, 100% coverage requirements, and performance testing
Staff-level codebase health review. Finds monolithic modules, silent failures, type safety gaps, test coverage holes, and LLM-friendliness issues.
Gas optimization patterns for Solidity smart contracts. Use when optimizing contract deployment costs, runtime gas usage, or storage efficiency. Covers storage packing, custom errors, immutable variables, calldata optimization, loop patterns, assembly usage, and Solady gas-optimized alternatives. Triggers on tasks involving gas optimization, storage layout, deployment cost reduction, or EVM efficiency.
TypeScript/JavaScript Test-Driven Development with Vitest, strict red-green-refactor methodology, React component testing, and comprehensive coverage patterns. Use when implementing TypeScript features with TDD, writing Vitest tests, testing React components, developing with test-first approach, or when user mentions 'TypeScript TDD', 'Vitest', 'React testing', 'JavaScript TDD', 'red-green-refactor', 'TypeScript unit tests', or 'test-driven TypeScript'.
Build LLM applications using Dify's visual workflow platform. Use when creating AI chatbots, implementing RAG pipelines, developing agents with tools, managing knowledge bases, deploying LLM apps, or building workflows with drag-and-drop. Supports hundreds of LLMs, Docker/Kubernetes deployment.
Durable UI patterns for modern web development — persisting client-side state across page loads, browser sessions, and shareable URLs. Use this skill when implementing localStorage persistence, URL query parameter state, form draft auto-save, multi-step wizard persistence, click-outside dismissal, modal/dialog backdrop patterns, or any client-side state and interaction pattern that should be resilient and well-behaved. Works with React, Vue, and Svelte.
Guides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP. Use when: deploying generative AI models (GPT, Claude, Gemini, Llama), building orchestration workflows with templating/filtering/grounding, implementing RAG with vector databases, managing ML training pipelines with Argo Workflows, configuring content filtering and data masking for PII protection, using the Generative AI Hub for prompt experimentation, or integrating AI capabilities into SAP applications. Covers service plans (Free/Standard/Extended), model providers (Azure OpenAI, AWS Bedrock, GCP Vertex AI, Mistral, IBM), orchestration modules, embeddings, tool calling, and structured outputs.
Use this skill for ANY question about creating test or evaluation datasets for LangChain agents. Covers generating datasets from traces (final_response, single_step, trajectory, RAG types), uploading to LangSmith, and managing evaluation data.
Guide for conducting thorough and synthesized research, focusing on verification, multi-source analysis, and RAG patterns.
Provides comprehensive guidance for Tencent Cloud COS including bucket creation, object storage, access control, and COS management. Use when the user asks about Tencent Cloud COS, needs to store files in COS, configure COS buckets, or work with Tencent Cloud storage.
Test-Driven Development workflow enforcement with RED-GREEN-REFACTOR cycle. Use when implementing features test-first or improving test coverage.
Validates Zod schema parsing at boundaries. Tests valid/invalid inputs, schema evolution, refinement coverage, and compound state matrices (2^N optional field combinations).