GitHub
langchain4j-testing-strategies
Testing strategies for LangChain4j-powered applications. Mock LLM responses, test retrieval chains, and validate AI workflows. Use when testing AI-powered features reliably.
☆ 98Voir le skill
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Explorer
GitHub
langchain4j-mcp-server-patterns
Model Context Protocol (MCP) server implementation patterns with LangChain4j. Use when building MCP servers to extend AI capabilities with custom tools, resources, and prompt templates.
☆ 98Voir le skill
GitHub
langchain4j-tool-function-calling-patterns
Tool and function calling patterns with LangChain4j. Define tools, handle function calls, and integrate with LLM agents. Use when building agentic applications that interact with tools.
☆ 98Voir le skill
GitHub
langchain4j-ai-services-patterns
Build declarative AI Services with LangChain4j using interface-based patterns, annotations, memory management, tools integration, and advanced application patterns. Use when implementing type-safe AI-powered fe...
☆ 98Voir le skill
GitHub
audio-language-models
Gemini Live API, Grok Voice Agent, GPT-4o-Transcribe, AssemblyAI patterns for real-time voice, speech-to-text, and TTS. Use when implementing voice agents, audio transcription, or conversational AI.
☆ 98Voir le skill
GitHub
embeddings
Text embeddings for semantic search and similarity. Use when converting text to vectors, choosing embedding models, implementing chunking strategies, or building document similarity features.
☆ 98Voir le skill
GitHub
vision-language-models
GPT-5/4o, Claude 4.5, Gemini 2.5/3, Grok 4 vision patterns for image analysis, document understanding, and visual QA. Use when implementing image captioning, document/chart analysis, or multi-image comparison.
☆ 98Voir le skill
GitHub
recall
Search and retrieve decisions and patterns from knowledge graph. Use when recalling patterns, retrieving memories, finding past decisions.
☆ 98Voir le skill
GitHub
advanced-guardrails
LLM guardrails with NeMo, Guardrails AI, and OpenAI. Input/output rails, hallucination prevention, fact-checking, toxicity detection, red-teaming patterns. Use when building LLM guardrails, safety checks, or re...
☆ 98Voir le skill
GitHub
rag-retrieval
Retrieval-Augmented Generation patterns for grounded LLM responses. Use when building RAG pipelines, constructing context from retrieved documents, adding citations, or implementing hybrid search.
☆ 98Voir le skill
GitHub
llm-evaluation
LLM output evaluation and quality assessment. Use when implementing LLM-as-judge patterns, quality gates for AI outputs, or automated evaluation pipelines.
☆ 98Voir le skill
GitHub
reranking-patterns
Reranking patterns for improving search precision. Use when implementing cross-encoder reranking, LLM-based relevance scoring, or improving retrieval quality in RAG pipelines.
☆ 98Voir le skill
GitHub
hyde-retrieval
HyDE (Hypothetical Document Embeddings) for improved semantic retrieval. Use when queries don't match document vocabulary, retrieval quality is poor, or implementing advanced RAG patterns.
☆ 98Voir le skill
GitHub
query-decomposition
Query decomposition for multi-concept retrieval. Use when handling complex queries spanning multiple topics, implementing multi-hop retrieval, or improving coverage for compound questions.
☆ 98Voir le skill
GitHub
semantic-caching
Redis semantic caching for LLM applications. Use when implementing vector similarity caching, optimizing LLM costs through cached responses, or building multi-level cache hierarchies.
☆ 98Voir le skill
GitHub
rnow-config
Configure ReinforceNow training runs with config.yml and train.jsonl. Also covers converting HuggingFace datasets to ReinforceNow format. Triggers on "config.yml", "train.jsonl", "training config", "batch_size"...
☆ 98Voir le skill
GitHub
remember
Store decisions and patterns in knowledge graph with optional cloud sync. Use when saving patterns, storing decisions, remembering approaches that worked.
☆ 98Voir le skill
GitHub
api-design-framework
Comprehensive API design patterns for REST, GraphQL, and gRPC. Use when designing APIs, creating endpoints, adding routes, implementing pagination, rate limiting, or authentication patterns.
☆ 98Voir le skill
GitHub
langgraph-human-in-loop
LangGraph human-in-the-loop patterns. Use when implementing approval workflows, manual review gates, user feedback integration, or interactive agent supervision.
☆ 98Voir le skill
GitHub
errors
Error pattern analysis and troubleshooting for Claude Code sessions. Use when handling errors, fixing failures, troubleshooting issues.
☆ 98Voir le skill
GitHub
design-system-starter
Use this skill when creating or evolving design systems for applications. Provides design token structures, component architecture patterns, documentation templates, and accessibility guidelines. Ensures consis...
☆ 98Voir le skill
GitHub
skill-evolution
Analyze, evolve, and rollback skills based on usage patterns. Use when evolving skills, improving skill definitions, updating skill content.
☆ 98Voir le skill
GitHub
feedback
Manage the SkillForge feedback system that learns from your usage. Use when providing feedback, reporting issues, suggesting improvements.
☆ 98Voir le skill
GitHub
explore
Deep codebase exploration with parallel specialized agents. Use when exploring a repo, finding files, or discovering architecture with the explore agent.
☆ 98Voir le skill
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