Announce: "I'm using the /brag skill to update your brag document with recent accomplishments."

Windows 电脑端微信消息发送 MCP，实现在微信上给指定联系人发送消息

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'Track and retrieve sample locations in -80°C freezers with hierarchical

基于向量数据库的智能知识库检索系统，支持语义理解和多格式文档处理。

name: Snipara MCP - Smart Documentation Search

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Fast local search for markdown files, notes, and docs using qmd CLI. Use instead of `find` for file discovery. Combines BM25 full-text search, vector semantic search, and LLM reranking—all running locally. Use when searching for files, finding code, locating documentation, or discovering content in indexed collections.

Security vitals checker for OpenClaw. Scans your installation, scores your setup, and shows you exactly what to fix. First scan in seconds.

企业知识库治理引擎，提供智能分块、去重、标签分类、质量评分与版本管理，解决RAG“垃圾进垃圾出”痛点

**Canonical user identity resolution across messaging channels**

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Set up conda with multiple group storage locations on HiPerGator, including cache isolation

**Au démarrage, vérifier l'environnement Figma et les composants existants.**

The **GAM Researcher Agent** automates retrieval and synthesis of context from your Transmission Packet archive. It eliminates manual context pasting by implementing an iterative research loop that se

Index a folder's contents into the context system for fast retrieval

Progressive context retrieval pattern for understanding unfamiliar codebases through iterative refinement

lfs

从整个工作区出发，系统性地重组认知结构并整理全局文档归属。适用于首次建立认知结构、或积累了大量散落文档需要批量归档时。基于三大闭环框架（Loop1 Skill体系 / Loop2 思维体系 / Loop3 场景投射）做全工作区分类路由。触发词：「系统整理」「重组认知结构」「从文档构建认知结构」「整合文档」「全量梳理」「认知结构乱了」「全工作区整理」「文档归属梳理」「如何加入认知结构」「怎么加入认知结构」「按规范加入」「未更新的文档怎么处理」「这些文档要怎么整理」「有没有关于X的已有文档」。注意：若用户仅询问流程而非执行重组，执行 Step 0.5（检查分类清单现状）后，先向用户展示已有文档状态和分类建议，再确认是否执行完整重组。

Document chunking with multiple strategies including semantic, recursive, and fixed-size chunking

Organizational capability and core competency assessment using strategic frameworks

Unity Physics skill for collision detection, rigidbody dynamics, raycasting, and physics configuration.

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Classify construction data by type (structured, unstructured, semi-structured). Analyze data sources and recommend appropriate storage/processing methods

Search and retrieve data from local Weaviate using semantic search, filters, RAG, and hybrid queries

fondo-cost-tuning

langchain-content-blocks

langchain-sdk-patterns

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name: supertag

Create a skill distribution system that enables AI agents (Claude Code, Codex) to use GNO perfectly.

> AI 原生 Tool Calling 架构 — 单 runtime，LLM 自主编排。

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Run configuration handling for persistent command configuration storage

Provides score interpretation (< 0.3 good, > 0.5 skip), query optimization, and source naming for query_documents, ingest_file, ingest_data tools. Use this skill when working with RAG, searching documents, ingesting files, saving web content, or handling PDF, HTML, DOCX, TXT, Markdown.

Analyze Microsoft Outlook PST and OST files for email forensic evidence including message content, headers, attachments,

Eigenständige Dokumentsynthese aus RAG-Kontext. Generiert versionierte Markdown-Dokumente (Systemzustand, Grow-Zusammenfassung, Skill-Inventar etc.) via LLM auf Basis lokaler RAG-Retrieval-Ergebnisse. Kein RAG-Rückschreiben – nur Quell-Retrieval.

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