OpenClaw AI 技能

[自动翻译] Generate text embeddings via AIMLAPI. Use for semantic search, clustering, or high-dimensional text representations with text-embedding-3-large

模块化智能记忆系统，支持多平台 embeddings、智能重排序和 Flomo 笔记导入，实现高效语义搜索与管理。

在 Windows 上为 OpenClaw 配置本地 embedding / 本地记忆检索时使用。适用于：下载并接入 `nomic-embed-text-v1.5.Q8_0.gguf`、把 `memorySearch.provider` 改成 `local`、检查 `openclaw memory

[自动翻译] Semantic memory plugin using m3e-large embeddings with SQLite storage, supporting storage, retrieval, and deletion via cosine similarity search

[自动翻译] Use when building, embedding, customizing, or troubleshooting AR/XR experiences with the Kivicube Web Plugin, including WebAR/Web3D H5 pages, l

[自动翻译] Embeddings with nomic-embed-text, mxbai-embed, and snowflake-arctic-embed across your device fleet. Fleet-routed via Ollama for RAG, semantic s

[自动翻译] Initialize and configure OpenClaw local embedding mode on CPU-only machines. Handles network probe, proxy fallback, GGUF model download, cmake/

图片向量嵌入技能，支持将病害图片转换为特征向量，用于后续的图片检索和相似度匹配。适用于病害知识库的图片特征提取、向量入库等场景。

[自动翻译] Use when text embeddings are needed from Alibaba Cloud Model Studio models for semantic search, retrieval-augmented generation, clustering, or

[自动翻译] Use when multimodal embeddings are needed from Alibaba Cloud Model Studio models such as `qwen3-vl-embedding` for image, video, and text retrie

LinkMind 知识连接引擎 Phase 2 - 本地化知识中枢 CLI 工具，支持 storage adapter 抽象层和 OpenAI-compatible embedding provider。

LinkMind 知识连接引擎 Phase 2 - 本地化知识中枢 CLI 工具，支持 storage adapter 抽象层和 OpenAI-compatible embedding provider。

使用 Python、FAISS、MarkItDown、阿里云百炼 text-embedding-v4 与可选的 qwen3-rerank，维护基于文件目录的本地知识库；适用于文件转 Markdown、遍历 chunks 与 T2Q 建立索引，以及对指定知识库或全部知识库做语义查询。

[自动翻译] Advanced expert in prompt engineering, custom instructions design, and prompt optimization for AI agents

[自动翻译] Generate precise, timecoded Seedance 2.0 prompts integrating multimodal inputs with asset mapping for controlled 4-15s video creation and editi

[自动翻译] Token-safe prompt assembly with memory orchestration. Use for any agent that needs to construct LLM prompts with memory retrieval. Guarantees n

[自动翻译] Evaluate, optimize, and enhance prompts using 58 proven prompting techniques. Use when user asks to improve, optimize, or analyze a prompt; whe

[自动翻译] Write effective prompts for Jimeng Seedance 2.0 multimodal AI video generation. Use when users want to create video prompts using text, images,

[自动翻译] Master prompt engineering for AI models: LLMs, image generators, video models. Techniques: chain-of-thought, few-shot, system prompts, negative

[自动翻译] Comprehensive prompt engineering framework for designing, optimizing, and iterating LLM prompts. This skill should be used when users request p