Use when a task needs senior radio/cellular/tower-technician judgment — deciding whether an RF power-down authorization from a carrier NOC (network operations center) is actually…
Download an audiocut from radiocut.fm as a single MP3 file (used when the user wants to save/backup a RadioCut clip locally, since RadioCut no longer exposes a direct MP3 URL).
Radiologie-KI und Befundfehler: moderner Medizinrechts-Skill für KI-Vorschlag, ärztlicher Befund, Overreliance, Softwareupdate und verpasster Zufallsbefund: Radiologie-KI und…
Radiologie Schnittbild Zielleistung: prüft die einschlägigen Voraussetzungen, Dokumente, Risiken und Ausnahmen.
Use when a task needs the judgment of a board-certified diagnostic radiologist — classifying an incidental imaging finding against a validated follow-up guideline (Fleischner,…
Use when targeting Radiology (RSNA) or deciding whether a medical-imaging study fits this venue. Encodes the journal's fit, the diagnostic-accuracy and imaging-methodology bar,…
Use when creating radiology educational quizzes, preparing board exam questions, or studying medical imaging cases.
Keep packages/radix-ui (fumadocs-ui) and packages/base-ui in sync. Use when editing either package, adding features, or fixing bugs so both UI variants stay consistent.
Radix UI headless primitives — accessible, unstyled React components for dialogs, dropdowns, tooltips
Especialista em Vercel, CI/CD e Troubleshooting de infraestrutura. Use para deploys e correções de build.
Straßenverkehrsrecht StVO: Radverkehr und Schutzstreifen. Radverkehr und Schutzstreifen im Fachgebiet Straßenverkehrsrecht StVO als geführten Arbeitsgang mit Fragen,…
Raet integration. Manage data, records, and automate workflows. Use when the user wants to interact with Raet data.
Räume Ausstattung Rezeptur Defektur Labor: prüft die einschlägigen Voraussetzungen, Dokumente, Risiken und Ausnahmen.
Raeumlicher: Compliance-Dokumentation und Aktenvermerk: prüft konkret die einschlägigen Tatbestandsmerkmale, Fristen, Belege und Rechtsprechung.
Prueft den raeumlich relevanten Markt: national europaeisch global. Analysiert Preisstrukturen Transportkosten regulatorische Unterschiede Homogenitaetsannahmen Handelsstroeme und…
Für Räumung: Compliance-Dokumentation und Aktenvermerk: ordnet Akte, Belege und Lücken; Ergebnis: Schnittstellenkarte mit Zuständigkeits- und Nachweisfragen.
Für Räumung, Kündigung und Besitzkonflikte: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Schnittstellenkarte mit Zuständigkeits- und Nachweisfragen.
Für Räumung Paragraf 885 ZPO / Berliner Räumung Paragraf 885a ZPO: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Schnittstellenkarte mit Zuständigkeits- und Nachweisfragen.
Räumungstitel, Räumungsfrist Paragraf 721 ZPO, Räumungstermin, Gerichtsvollzieherauftrag, GV-Auftrag, Vollstreckungsschutz Paragraf 765a ZPO, Attest, Suizidgefahr, Sozialdienst…
Räumungsklage Aufbau: Fachmodul im Miet- und Wohnungseigentumsrecht: erstellt Antrag, Tatsachenvortrag, Anlagen, Beweise, Nutzungsentschädigung; mit Normprüfung, Beweisen,…
Räumungsklage und Zwangsräumung im Wohnraum- und Gewerberaummietrecht – Rückgabeanspruch § 546 BGB und Herausgabeanspruch § 985 BGB, Nutzungsentschädigung § 546a BGB, Verbindung…
Leadskill für Räumungsklage Wohnraum nach Kündigung. Wohnung räumen und herausgeben, Kombiklage mit Zahlung, Kündigungszustellung, Sozialwiderspruch, Räumungsstreitwert, Zahlung…
Rafay Systems integration. Manage data, records, and automate workflows. Use when the user wants to interact with Rafay Systems data.
Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.
Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency. — from bg-szy/TOP-SKILLS
Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency. — from bg-szy/TOP-SKILLS
Rafflys integration. Manage Organizations, Pipelines, Users, Filters. Use when the user wants to interact with Rafflys data.
Automate Rafflys tasks via Rube MCP (Composio). Always search tools first for current schemas. — from general/automation
Raft distributed consensus algorithm patterns. Leader election, log replication, safety invariants, snapshot/compaction, and membership changes for replicated agent state…
Details on the Retrieval Augmented Generation pipeline, Ingestion, and Vector Search. — from majiayu000/claude-skill-registry
Add an indexing source — add it to settings.json `sources` and immediately do a partial index. Utterance examples "rag add source docs/", "rag-add-source notes/", "register wiki/…
Use for RAG pipelines — chunking, embeddings, hybrid search, reranking, grounding, retrieval evals.
Use when building RAG systems, implementing semantic/hybrid search, selecting vector databases, tuning retrieval quality, or choosing chunking and embedding strategies.
Use when the user asks to design RAG pipelines, optimize retrieval strategies, choose embedding models, implement vector search, or build knowledge retrieval systems.
Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, or context augmentation.
Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, or context augmentation.
Use when the user asks to design RAG pipelines, optimize retrieval strategies, choose embedding models, implement vector search, or build knowledge retrieval systems.
Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, or context augmentation.
Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying re — from…
RAG pipeline design — document chunking, embedding strategies, retrieval optimization, and answer generation
Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API.
RAG-grounded code generation with source citations. Triggers on: grounded code, ground this, cite sources, show me with sources, how do I with attune, reference attune docs,…
Build RAG systems for construction knowledge bases. Create searchable AI-powered construction document systems
Improve RAG corpus quality by adding missing docs, rewriting weak chunks, and filling retrieval gaps.
Curador do corpus RAG. Gerencia adição, organização e manutenção do conhecimento do projeto. Garante qualidade e acessibilidade. — from majiayu000/claude-skill-registry
Curador do corpus RAG. Gerencia adição, organização e manutenção do conhecimento do projeto. Garante qualidade e acessibilidade. — from majiayu000/claude-skill-registry
Production-grade RAG (Retrieval-Augmented Generation) system design patterns from OpenClaw. Use when implementing semantic search, vector retrieval, memory systems, or knowledge…
Design a Retrieval-Augmented Generation system end to end. Use when asked to design a RAG pipeline, a 'chat with your docs' feature, a knowledge assistant, or to debug why a RAG…
Automatically applies when building RAG (Retrieval Augmented Generation) systems. Ensures proper chunking strategies, vector database patterns, embedding management, reranking,…
Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM application — from…
Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM application — from…
Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM application — from…
Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM application — from…
Filesystem RAG benchmarks: corpus/, train.json, evaluate_rag.py (RAGAS quality). Not for prod monitoring, latency/throughput benchmarking (use rag-perf), or evals outside this…
Batch-evaluate rag index quality with pre-registered probes — search results + the active AI session's diagnosis and tuning suggestions.
Evaluate retrieval and citation behavior for RAG pipelines from deterministic JSONL fixtures. Use when an agent needs offline Recall@K, reciprocal rank, context precision,…
N-hop graph exploration around a specific entity — reports what is connected to what as a visual/table.
Create a rag index snapshot tarball (vec.db + graph/ + manifest + settings + compatibility header). Example utterances "make a rag snapshot", "rag-export ~/Downloads/foo.tar.gz",…
Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HN — from…
Record 👍/👎 feedback on the most recent search results to improve the quality of future searches. Example utterances "this result was good", "rag feedback positive", "that last…