В каталоге 182 820 навыков в 14 категориях.
Quantum physics simulation library for open quantum systems. Use when studying master equations, Lindblad dynamics, deco...
Qwen Training Data Miner (Prototype)
Transcribe audio files using Qwen ASR. Use when the user sends voice messages and wants them converted to text.
Provides Qwen Coder CLI delegation workflows for coding tasks using Qwen2.5-Coder and QwQ models, including English prom...
AI image editing prompting patterns for Qwen-Image (Qwen-Image-Edit-2511 by default, Qwen-Image-2.1 as a non-commercial...
AI image editing prompting patterns for Qwen-Image-Edit. Use when editing photos while preserving identity, reframing cr...
Generate and edit images with Alibaba Qwen-Image-2.0 models via inference.sh CLI. Models: Qwen-Image-2.0 (fast), Qwen-Im...
Generate images with Alibaba Qwen-Image-2.0-Pro via inference.sh CLI. Professional text rendering, fine-grained realism,...
Use when the user asks to "analyze video", "watch this video", "what happens in this video", "describe this clip", "revi...
Adapt voice cues into Qwen3 TTS custom-voice, voice-design, or voice-clone inputs, preserving exact dialogue, language,...
---name: radiomics-pathomics-fusion-agent
Use when building or auditing a radiomics or tabular clinical-ML prediction model with a classical learner (LASSO, SVM,...
Produce or audit a radiomics / tabular clinical-ML study — imaging or clinical features → any classical learner (penalis...
Räumungsklage und Zwangsräumung im Wohnraum- und Gewerberaummietrecht – Rückgabeanspruch § 546 BGB und Herausgabeanspruc...
Details on the Retrieval Augmented Generation pipeline, Ingestion, and Vector Search.
Implements Retrieval-Augmented Generation for AI models to fetch and use external knowledge.
通用 RAG 方法论 Skill 集合（9 模块，跨项目可迁移）：加载 / 摄取 / 查询理解 / 检索 / 重排 / 生成防幻觉 / 多轮对话 / GraphRAG / 评估。每篇「通用原则 + 落地建议」。
Build Retrieval-Augmented Generation (RAG) systems for AI applications with vector databases and semantic search. Use wh...
Semantic search over vector databases for document retrieval. Use this skill when the user requests searching documents,...
Use when building Retrieval-Augmented Generation systems - covers document ingestion, hybrid search retrieval, reranking...
Use when building retrieval-augmented generation. Covers chunking, embedding and hybrid search, reranking, grounding and...
Retrieval-Augmented Generation, chunking, metadata tags, and retrieval flows.
高性能 RAG 多路检索服务。集成 Milvus 向量数据库进行语义检索，并结合 Rerank 模型进行精准重排序，支持海量文档的高效存储与历史内容召回。
Measure RAG answer quality through three core metrics: Faithfulness (accuracy to context), Relevance (retrieval quality)...
Patterns for Retrieval-Augmented Generation (RAG) and agent memory systems. Retrieves only relevant context, prevents co...
Use when building RAG systems, implementing semantic/hybrid search, selecting vector databases, tuning retrieval quality...
Use when the user asks to design RAG pipelines, optimize retrieval strategies, choose embedding models, implement vector...
Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, docume...
Build retrieval-augmented generation systems that ground LLMs in your data.
Retrieval-Augmented Generation (RAG) system design patterns, chunking strategies, embedding models, retrieval techniques...
RAG (Retrieval-Augmented Generation) architecture patterns cover system design for building efficient, scalable, and acc...
Caching strategies across the RAG stack. Semantic caching with GPTCache and LangChain, Redis-based embedding-similarity...
Curador do corpus RAG. Gerencia adição, organização e manutenção do conhecimento do projeto. Garante qualidade e acessib...
Production-grade RAG (Retrieval-Augmented Generation) system design patterns from OpenClaw. Use when implementing semant...
Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategi...
Comprehensive guide to evaluating Retrieval-Augmented Generation systems including retrieval metrics, generation quality...
Run one controlled RAG experiment (chunking, embeddings, top-k, rerank, threshold, prompt or LLM) and save config, raw r...
Hybrid search combining semantic and keyword retrieval for RAG pipelines. Implement BM25 + dense vector search with fusi...
Comprehensive guide for Retrieval-Augmented Generation (RAG) implementation using LangChain. This skill covers the compl...
Retrieval-Augmented Generation patterns including chunking, embeddings, vector stores, and retrieval optimization Use wh...
RAG (Retrieval-Augmented Generation) implementation workflow covering embedding selection, vector database setup, chunki...
AesopIDE with Antigravity-inspired UI"
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use w...
Build and operate Retrieval-Augmented Generation (RAG) infrastructure with vector stores, embedding pipelines, and hybri...
Embed every file under targets/<name>/sources/ into a ChromaDB collection named target_<name> via the TLX rag module (Go...
Vertex AI RAG Engine integration patterns for grounding agent responses in private data sources including corpus managem...
Retrieval-Augmented Generation patterns and best practices. Implement chunking, embedding, retrieval, reranking, and gen...
Chunking strategies, embedding model selection, hybrid search, reranking, eval metrics
Build retrieval-augmented generation systems that ground LLM responses in your data
Designs retrieval-augmented generation pipelines for document-based AI assistants. Includes chunking strategies, metadat...
RAG 시스템 품질 평가 및 개선을 위한 스킬입니다. RAGAS 기반 LLM-as-Judge 평가, 사용자 페르소나 시뮬레이션, 합성 데이터 생성, 평가 결과 저장 및 분석 기능을 제공합니다.
Consulta ao corpus RAG do projeto. Busca conhecimento em decisoes, documentacao, learnings e padroes armazenados. Use qu...
Cross-encoder reranking and MMR diversity filtering for improved retrieval quality
Retrieval-Augmented Generation patterns for grounded LLM responses. Use when building RAG pipelines, constructing contex...
RAG-specific best practices for LlamaIndex, ChromaDB, and Celery workers. Covers ingestion, retrieval, embeddings, and p...
Build Retrieval-Augmented Generation (RAG) Q&A systems with Claude or OpenAI. Use for creating AI assistants that answer...
Build Retrieval-Augmented Generation systems to enhance LLMs with external knowledge. Use for question answering, docume...
This prompt instructs an image-editing AI to transform a user-provided face photo into a repeatable, warm, dim, vintage...
Use when using Rails generators or scaffolding to create conventional models, controllers, views, migrations, tests, or...
持久化执行-验证-修复循环，直到任务完成
Create and run Ralph loops for structured AI-driven development. Triggered by "create a ralph loop for X" or "ralph plan...
Self-referential loop until task completion with architect verification
Persistent completion mode. Use when the user explicitly says `/ralph` or clearly wants you to keep iterating until the...
Run RALPH autonomous development loop. Converts PRD markdown to prd.json and runs autonomous implementation.
Convert PRDs to prd.json format and run the Ralph autonomous agent system. Use when converting PRDs to Ralph format OR r...
Convert PRDs to prd.json format for the Ralph autonomous agent system. Use when you have an existing PRD and need to con...
Convert an ML PRD into prd.json for ML-Ralph. Use when you have an ML PRD and need prd.json. Triggers on: convert this p...
Specification-first AI development powered by Ouroboros. Socratic questioning exposes hidden assumptions before writing...
Queue processing with fresh context per phase. Processes N tasks from the queue, spawning isolated subagents to prevent...
Ralph autonomous coding loop with MiniMax subagent delegation. Managed loop (not recursive) with progress tracking, comp...
Autonomous feature development - setup and execution. Triggers on: ralph, set up ralph, run ralph, run the loop, impleme...
Execute iterative development loop through user stories. Implements one story at a time with quality gates, commits, and...
Use this skill when Ralph is working autonomously through Brain Dump backlogs. Covers ticket selection, implementation p...
Enables autonomous development loops that run until all tasks pass. Use when the user says "until done", "keep going", "...
Run Ralph autonomous build loop. Use when user asks to "ralph build", "run build loop", or needs to process subtasks aut...
Autonomous execution loop that processes a Beads epic task-by-task with fresh subagents, two-stage review, and circuit b...
Autonomously implement user stories from the PRD, running quality gates and committing after each successful story. Main...
Execute Ralph loops. Use when: Running the autonomous loop, managing tasks, or handling backpressure. Not for: Designing...
Runs autonomous loop fetching stories from GitHub Issues. Implements and closes issues as done. Triggers on "loop throug...
Converts a PRD or plan markdown file into prd.json format for ralph-json-start-loop to execute autonomously. Use when us...
Runs the Ralph autonomous loop. Executes stories from prds/*.json using git worktrees.
Activate autonomous Ralph Wiggum loop mode for iterative task completion. Use when you have a well-defined task with cle...
Use after first code change. Autonomous iteration until all quality gates pass (max 7 iterations).
Setup the Ralph autonomous AI coding loop - ships features while you sleep
Autonomous feature development loop. Executes complete 9-phase cycle (Interview -> Think Critically -> Plan -> Branch ->...
Start a Ralph Wiggum autonomous task loop that keeps Claude working until a task is complete. Uses the Stop hook pattern...
Ralph Wiggum-inspired automation loop for specification-driven development. Orchestrates task implementation, review, cl...
Ralph Loop plugin manager. Provides start, cancel, status, and help commands for autonomous task loops. Enforces safety...
Iterative development loop methodology for autonomous AI work. Configure self-correcting coding loops that iterate until...
Execute an autonomous development loop that picks one task per iteration, implements it, verifies it, and commits the re...
Autonomous iteration loop with dual-mode support. Standalone mode uses Stop hooks (RALPH_ACTIVE=1). Multi-agent mode use...
任务管理系统模板生成器 - 根据用户输入或JSON配置生成完整的任务管理结构（模板生成器，非直接执行器）
Manage persistent memories. Use when: Storing or retrieving patterns, decisions, and fixes across sessions. Not for: Tem...
Query and manage RALPH's persistent memory layer
Show memory buffer status including pending, synced, and failed entry counts. Quick health check without syncing.
Sync buffered memories to Cognee. Use when agent-memory reconnects or to force sync pending entries.
Monitor and report on Ralph Wiggum loop progress. Provides real-time status, iteration summaries, and progress tracking...