Generate and edit images with Alibaba Qwen-Image-2.0 models via inference.sh CLI. Models: Qwen-Image-2.0 (fast), Qwen-Image-2.0-Pro (professional text rendering).
Score 70/100
Generate and edit images with Alibaba Qwen-Image-2.0 models via inference.sh CLI. Models: Qwen-Image-2.0 (fast), Qwen-Image-2.0-Pro (professional text rendering).
Score 70/100
Generate images with Alibaba Qwen-Image-2.0-Pro via inference.sh CLI. Professional text rendering, fine-grained realism, enhanced semantic adherence.
Score 70/100
Generate images with Alibaba Qwen-Image-2.0-Pro via inference.sh CLI. Professional text rendering, fine-grained realism, enhanced semantic adherence.
Score 70/100
Use when the user asks to "analyze video", "watch this video", "what happens in this video", "describe this clip", "review this footage", "classify these videos", "compare…
Score 70/100
Run an adversarial checkpoint review against the canonical cumulative task artifact chain and write one review-only artifact under P-99-review.
Score 70/100
Read raw requirement candidates together with onboarding and code, then normalize them into the normalized list in requirement_change_candidates.md.
Score 70/100
R 语言流行病学与生物统计分析核心技能。专为医学研究生、临床数据分析、真实世界数据(RWD)研究设计。 触发场景：(1) 用户进行任何 R 统计分析；(2) 需要描述统计、回归、生存分析、中介效应、Meta分析；(3) 需要数据清洗或可视化；(4) R 代码错误调试；(5) 生成出版级图表或统计表格。
Score 70/100
Use when writing R code for comparative phylogenetic analysis (BiSSE/MuSSE, ancestral state reconstruction, BAMM, diversitree, sex-chromosome turnover, dysploidy rate analysis).
Score 70/100
Compétence pour rédiger la section 'Contexte de l'étude' d'un mémoire ou projet en informatique de gestion, en suivant une structure académique précise incluant problématique,…
Score 70/100
Modern R development practices emphasizing tidyverse patterns (dplyr 1.1 and later, native pipe, join_by, .by grouping), rlang metaprogramming, performance optimization, and…
Score 70/100
Connect GSAP ScrollTrigger to React Three Fiber — Zustand bridge, useFrame animation, scroll progress to 3D transforms. The pattern for scroll-driven 3D product showcases.
Score 70/100
Racket-specific tooling, libraries, idioms, and language-oriented programming philosophy. Use when working with Racket code.
Score 70/100
Radar - Collaudo siti con report ELI5 + dettagli tecnici
Score 70/100
Automate Radar tasks via Rube MCP (Composio). Always search tools first for current schemas.
Score 70/100
Use when creating radiology educational quizzes, preparing board exam questions, or studying medical imaging cases.
Score 70/100
Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.
Score 70/100
Automate Rafflys tasks via Rube MCP (Composio). Always search tools first for current schemas.
Score 70/100
Use when the user asks to design RAG pipelines, optimize retrieval strategies, choose embedding models, implement vector search, or build knowledge retrieval systems.
Score 70/100
Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API.
Score 70/100
Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM applications.
Score 70/100
Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW).
Score 70/100
Hybrid search combining semantic and keyword retrieval for RAG pipelines. Implement BM25 + dense vector search with fusion strategies.
Score 70/100
RAG (Retrieval-Augmented Generation) implementation workflow covering embedding selection, vector database setup, chunking strategies, and retrieval optimization.
Score 70/100
Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces.
Score 70/100
Details on the Retrieval Augmented Generation pipeline, Ingestion, and Vector Search.
Score 70/100
Conception de pipelines RAG (Retrieval-Augmented Generation). Se déclenche avec "RAG", "retrieval augmented", "vector database", "embeddings", "knowledge base", "Pinecone",…
Score 70/100
트리거: "RAG 파이프라인", "벡터 검색", "문서 임베딩", "RAG 만들어줘", "retrieval augmented generation" 수행: 문서 청킹 전략 설계 → 임베딩 → 벡터 DB 저장 → 검색 파이프라인 코드 생성 출력: 완전한 RAG 파이프라인 코드 (LangChain 또는 LlamaIndex…
Score 70/100
Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval.
Score 70/100
Build Retrieval Augmented Generation (RAG) pipelines with vector databases, embeddings, and context-aware responses. Adapted from Anthropic's Claude Cookbooks.
Score 70/100
Automate Ragic tasks via Rube MCP (Composio). Always search tools first for current schemas.
Score 70/100
查询 Raider.io 数据：角色大秘境分数、公会团本进度、本周词缀。当有人问'我的 IO 多少''公会打到哪了''这周词缀'等问题时触发。无需 API Key，直接 curl。
Score 70/100
Automate Raisely tasks via Rube MCP (Composio). Always search tools first for current schemas.
Score 70/100
Modélise le raisonnement juridique d'un magistrat français pour l'analyse de dossiers civils. Utiliser ce skill pour analyser un litige et identifier les questions juridiques,…
Score 70/100
Rallly is an open-source scheduling and collaboration tool that makes organizing group meetings effortless.
Score 70/100
Multi-session parallel orchestrator using Claude Code Agent Teams API and Codex CLI Subagents to launch, manage, and coordinate concurrent task execution across multiple…
Score 70/100
Specification-first AI development powered by Ouroboros. Socratic questioning exposes hidden assumptions before writing code.
Score 70/100
View and configure agent loop settings — show, set, reset, and apply named presets
Score 70/100
Use to drive a vibe run autonomously across multiple iterations until verify-gate returns `ready` — bounded by iteration / wallclock / commit budgets, halted on thrashing or…
Score 70/100
Manage Al semantic memory entries — list, query, and clear lessons learned across loop iterations
Score 70/100
Use only when the user explicitly invokes `$ralph-specum`, requests Ralph Specum in Codex, asks Ralph Specum to handle a named phase, or explicitly requests autonomous or quick…
Score 70/100
Use when a coding task needs an objective-first long-running loop with fresh-context work and review phases, explicit acceptance criteria, resumable state, and real blocked…
Score 70/100
RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.
Score 70/100
Intelligent Ramadan times skill that auto-detects location, provides accurate iftar/sahur times in user's language, and supports 100+ cities worldwide.
Score 70/100
Ramp Automation: manage corporate card transactions, reimbursements, users, and expense tracking via the Ramp platform
Score 70/100
Ramp common errors — corporate card and expense management API integration. Use when working with Ramp for card management, expenses, or accounting sync.
Score 70/100
Ramp core workflow a — corporate card and expense management API integration. Use when working with Ramp for card management, expenses, or accounting sync.
Score 70/100
Ramp core workflow b — corporate card and expense management API integration. Use when working with Ramp for card management, expenses, or accounting sync.
Score 70/100
Ramp cost tuning — corporate card and expense management API integration. Use when working with Ramp for card management, expenses, or accounting sync.
Score 70/100
Ramp data handling — corporate card and expense management API integration. Use when working with Ramp for card management, expenses, or accounting sync.
Score 70/100
Ramp enterprise rbac — corporate card and expense management API integration. Use when working with Ramp for card management, expenses, or accounting sync.
Score 70/100
Ramp hello world — corporate card and expense management API integration. Use when working with Ramp for card management, expenses, or accounting sync.
Score 70/100
Ramp incident runbook — corporate card and expense management API integration. Use when working with Ramp for card management, expenses, or accounting sync.
Score 70/100
Ramp install auth — corporate card and expense management API integration. Use when working with Ramp for card management, expenses, or accounting sync.
Score 70/100
Ramp local dev loop — corporate card and expense management API integration. Use when working with Ramp for card management, expenses, or accounting sync.
Score 70/100
Ramp migration deep dive — corporate card and expense management API integration. Use when working with Ramp for card management, expenses, or accounting sync.
Score 70/100
Ramp multi env setup — corporate card and expense management API integration. Use when working with Ramp for card management, expenses, or accounting sync.
Score 70/100
Ramp observability — corporate card and expense management API integration. Use when working with Ramp for card management, expenses, or accounting sync.
Score 70/100
Ramp performance tuning — corporate card and expense management API integration. Use when working with Ramp for card management, expenses, or accounting sync.
Score 70/100
Ramp prod checklist — corporate card and expense management API integration. Use when working with Ramp for card management, expenses, or accounting sync.
Score 70/100