Use when multimodal embeddings are needed from Alibaba Cloud Model Studio models such as `qwen3-vl-embedding` for image, video, and text retrieval, cross-mod...

Initialize and configure OpenClaw local embedding mode on CPU-only machines. Handles network probe, proxy fallback, GGUF model download, cmake/llama.cpp comp...

USE THIS for ai embedding search. Build semantic search with embeddings. OpenAI-compatible. 0% markup. Powered by SkillBoss.

USE THIS for embedding api. Text embedding for vector search. 0% markup, 648+ APIs, one key. Powered by SkillBoss.

Semantic memory system using Baidu Embedding-V1 for secure, local vector storage and retrieval in Clawdbot with SQLite persistence.

Complete memory system combining Baidu Embedding auto-recall, Git-Notes structured memory, and file-based workspace search. Use when setting up comprehensive agent memory with local privacy, when you need persistent context across sessions, or when managing decisions/preferenc…

Use this skill when deploying, operating, or integrating the VSS 3.2 GA RT-Embed Video Embedding microservice. Covers Docker Compose bring-up, GPU and storage prerequisites, the `/v1` REST API (file uploads, text and video embeddings, live RTSP streams, health and metrics), Re…

Use this skill when deploying, operating, or integrating the VSS 3.2 GA RT-Embed Video Embedding microservice. Covers Docker Compose bring-up, GPU and storage prerequisites, the `/v1` REST API (file uploads, text and video embeddings, live RTSP streams, health and metrics), Re…

Use when text embeddings are needed from Alibaba Cloud Model Studio models for semantic search, retrieval-augmented generation, clustering, or offline vector...

Generate/edit images with Nano Banana Pro (Gemini 3 Pro Image). Use for image create/modify requests incl. edits. Supports text-to-image + image-to-image; 1K...

Indexed by skills.sh from wshobson/agents

Indexed by skills.sh from flutter/skills

Indexed by skills.sh from nvidia/skills

Generate text embeddings via AIMLAPI. Use for semantic search, clustering, or high-dimensional text representations with text-embedding-3-large and other mod...

Configure OpenClaw memory search to use Ollama as the embeddings server (OpenAI-compatible /v1/embeddings) instead of the built-in node-llama-cpp local GGUF loading. Includes interactive model selection and optional import of an existing local embedding GGUF into Ollama.

CLIP vision-language model for image-text retrieval, zero-shot classification, embedding extraction, ONNX export, and TensorRT deployment. Use when fine-tuning or training CLIP, running zero-shot classification, computing image embeddings, or deploying CLIP to ONNX/TensorRT.

Cosmos-Embed1 video-text embedding for text-to-video retrieval, video-to-video search, semantic deduplication, and fine-tuning. Use when the user asks to "fine-tune Cosmos-Embed1", "run cosmos-embed inference", "export Cosmos-Embed1", "embed videos", or "search videos with text".

Create a 3-tier memory directory structure (HOT/WARM/COLD) for OpenClaw agents and configure the built-in memory-core plugin to use Google Gemini Embeddings...

Generate, store, and search vector embeddings with provider selection, chunking strategies, and similarity search optimization.

Embeddings with nomic-embed-text, mxbai-embed, and snowflake-arctic-embed across your device fleet. Fleet-routed via Ollama for RAG, semantic search, and vec...

Mac Mini AI — run LLMs, image generation, speech-to-text, and embeddings on your Mac Mini. M4 (16-32GB) and M4 Pro (24-64GB) configurations make the Mac Mini...

Memory maintenance helper for any RAG/vector database. Includes save_memory() helper, monitor and defrag script templates, hot queue support, and configurabl...

Expert guidance to build, optimize, and debug production-ready Retrieval-Augmented Generation (RAG) systems using a complete methodology from architecture to...

Use Zhipu (智谱) web embeddings API for embeddingsing the internet. Use when user asks for web embeddings, latest news, or needs current information.

Semantic memory plugin using m3e-large embeddings with SQLite storage, supporting storage, retrieval, and deletion via cosine similarity search in pure JS.

Runs the DEFT embed-then-mine workflow for VCN AOI iterations — embeds the gap-analysis target parquet, embeds a source pool, and mines nearest-neighbour source images for downstream augmentation. Use as the immediate next step after `tao-route-visual-changenet-samples` when e…

Indexed by skills.sh from ruvnet/ruflo

Indexed by skills.sh from jezweb/claude-skills

Indexed by skills.sh from yoanbernabeu/grepai-skills

Indexed by skills.sh from yoanbernabeu/grepai-skills

Indexed by skills.sh from yoanbernabeu/grepai-skills

Use when building, embedding, customizing, or troubleshooting AR/XR experiences with the Kivicube Web Plugin, including WebAR/Web3D H5 pages, landing pages,...

Discover and register autonomous AI agents. Use when: browsing the agent registry, submitting an agent for verification, or embedding agent badges. NOT for:...

Diagnose and fix the 4 most common OpenClaw agent failures — heartbeat spam, API rate limit cascades, channel death loops, and memory/embedding errors. Battl...

Provides concurrent web search and code search capabilities for Agents with hybrid retrieval. Supports searching multiple keywords simultaneously, Embedding...

Agent verification via ClawX OAuth system. Use when checking agent verification status, embedding verification widgets, or working with agent identity/trust tiers.

Delegate coding, repository analysis, file edits, test runs, or code review to the local Codex CLI without embedding an OpenAI API key. This skill was create...

One-click clone of a production-grade semantic memory system: HOT/WARM/COLD tiered storage + Qdrant vector DB + Neo4j graph DB + qwen3-embedding. Enables cro...

Upload images to img402.dev for embedding in GitHub PRs, issues, and comments. Free tier (1MB, 7-day, no auth) is the default; paid tiers add 5MB max with 1-...

Golang struct and interface design patterns — composition, embedding, type assertions, type switches, interface segregation, dependency injection via interfa...

Key-embedding value store with memory integration — fuzzy-search by embedding similarity with multi-alias dedup and optional memory indexing.

Lottie and dotLottie adapter patterns for HyperFrames. Use when embedding lottie-web JSON animations, .lottie files, @lottiefiles/dotlottie-web players, regi...

Install, configure, verify, or remove local-first Memkeeper memory for OpenClaw. Use when an OpenClaw user needs Memkeeper's local embedding and reranking mo...

Configure OpenClaw's memory-lancedb plugin to enable local semantic vector memory using LanceDB and an OpenAI-compatible embedding provider.

Semantic search over workspace markdown files using embedding API + SQLite vector store. Use when: (1) searching workspace notes/memory by meaning rather tha...

Provides music search, high-quality download, ID3 metadata embedding, and local playback on Windows using multiple music API sources.

Use the OpenClaw `infer` CLI for provider-backed model, image, audio transcription, TTS, video, web-search, and embedding tasks.

Set up local semantic memory search in OpenClaw using Ollama + nomic-embed-text. Free, private, offline-capable. Replaces cloud embedding APIs (OpenAI, Gemin...

Fix PowerPoint font embedding issues in PDF export by patching text transparency in PPTX files. Use when a user has a PPTX file where exported PDFs show wrong/default fonts instead of the intended downloaded/custom fonts, even with font embedding enabled. Works by applying min…

Build multimodal AI applications with Pixeltable — declarative tables replace LangChain + pandas + vector DB with one system. Automates chunking, embedding,...

Enables local hybrid memory search and embedding using QMD to reduce API costs by $50-300/month with automatic setup, smart indexing, and multi-agent sharing.

Generate marketing QR codes with batch output, UTM tracking links, logo embedding, and poster composition. Use when users ask 生成二维码/批量二维码/渠道追踪码/带logo二维码. Sup...

Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LL...

Set up and optimize RAG pipelines for large datasets (50K-500K rows) with document chunking, embedding benchmarking, vector indexing, and retrieval tuning.

Build, optimize, and operate production-ready Retrieval-Augmented Generation systems with best practices in architecture, chunking, embedding, retrieval, eva...

Build and deploy local RAG (Retrieval-Augmented Generation) systems with offline document processing, embedding models, and vector storage.

Local-first knowledge base to index, search, and manage documents and web pages offline using SQLite and local embedding models.

Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LL...

RAGFlow Workbench — end-to-end RAG platform on Windows: Docker install check, admin bootstrap and API key generation, default model setup (Embedding/Chat/Rer...

Score your OpenClaw agent setup against similar agents. Scans your workspace, generates a local embedding for privacy-preserving semantic matching, and submi...

SharpAgent Engineering Lifecycle — 6-phase engineering pipeline: Spec → Plan → Build → Verify → Review → Ship. Embedding five-factor review, calibration fram...

Use this skill when generating character portraits for TRPG character sheets and embedding them into Excel files. Triggers on: generate character portraits,...

Incrementally import Telegram messages from SQLite to LanceDB with Qwen3-Embedding-4B vectors, supporting checkpoint resume and filtering empty messages.

12 humor patterns for AI agents based on embedding space bisociation theory. Operational reference for generating contextually appropriate humor during conve...

Deep vector database workflow—embedding choice, index algorithms, recall/latency trade-offs, hybrid search, filtering, operational tuning, and cost. Use when...

Retrieval and RAG workflow on Volcengine AI stack. Use when users need embedding search, document indexing, top-k retrieval, grounding prompts, or search relevance tuning.

Voyage AI embedding and reranking CLI integrated with MongoDB Atlas Vector Search. Use for: generating text embeddings, reranking search results, storing embeddings in Atlas, performing vector similarity search, creating vector search indexes, listing available models, compari…

A robust CLI wrapper for yt-dlp to download videos, playlists, and audio from YouTube and thousands of other sites. Supports format selection, quality control, metadata embedding, and cookie authentication.

Grep-like CLI with hybrid semantic and keyword search. Combines semantic embedding search with keyword matching for high-quality code and document retrieval....

Enables local voice chat by embedding Hotbutter relay server and PWA, providing speech-to-text and text-to-speech via a secure, self-hosted connection.

Search and discover Hugging Face open-source models and datasets, then run OpenAI-compatible chat or embedding inference securely with cost control.

Multi-backend memory system with optional embedding, private/shared memories, conversation summarization, and maintenance tools. For AI agents to store and r...

Set up local semantic memory search in OpenClaw using Ollama + nomic-embed-text. Free, private, offline-capable. Replaces cloud embedding APIs (OpenAI, Gemin...

Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants to deploy, host, serve, or expose a model on SageMaker or AWS — including phrases like "deploy a model", "host this LLM on AWS", "serve this embedding model", "deploy a…

Train or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder; dense or static embedding model; for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker; pair scoring for two-stage retriev…

Extract the complete, ordered instructions from the Obsidian Developer Documentation for building a custom Obsidian app theme — required files, manifest fields, CSS-variable styling, embedding assets, GitHub release automation, and community submission.

Embedding database for RAG and semantic search.