mcp-protocol
本技能用于配置和管理 MCP (Model Context Protocol) 服务器,让 AI 能够调用外部工具。
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31 301 skills в каталога
Как подбирам и измервамДанните имат нужда от нова проверка.Последна успешна проверка: 23.09.2026 г.
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Датата в GitHub е отделна от първата поява в моя индекс. Филтърът по дата изключва записите без посочено обновяване.
Страница 121: 24 записа в 1 група по репозиторий. Всички записи от страницата са показани. Номерът пази позицията от избраната подредба.
24 skills от този източник на тази страница
本技能用于配置和管理 MCP (Model Context Protocol) 服务器,让 AI 能够调用外部工具。
用于追剧/追番的技能,为AI提供搜索影视播放地址的能力,并支持在小米电视上直接播放。当用户想搜索影视、动漫、短剧、综艺等节目信息或更新进度时使用此技能。
Skill for autonomous AI agents to find jobs, submit proposals, deliver work, and get paid in USDC on the Molt Domestic Product marketplace.
Support medical understanding from patient education to clinical practice and research.
Capture meeting transcripts from Fireflies.ai via polling or webhooks. Auto-fetches transcripts, extracts action items/decisions/summaries, and writes structured markdown to memory. Use when user asks to check for meeting transcripts, set up meeting capture, or review past meetings. Supports cron-ba
End-to-end MegaETH development playbook (Feb 2026). Covers wallet operations, token swaps (Kyber Network), eth_sendRawTransactionSync (EIP-7966) for instant receipts, JSON-RPC batching, real-time mini-block subscriptions, storage-aware contract patterns (Solady RedBlackTreeLib), MegaEVM gas model, W
Meme币扫链工具。自动扫描gmgn.ai和Ave.ai的潜在Meme币,进行AI评分与风险分析,并推送格式化通知到Telegram。适用于需要实时发现、评估Meme币投资机会的场景。当用户提及'扫链'、'Meme币分析'、'Meme币扫描',或需要了解最新高潜力Meme币时使用。
Memory-as-a-Service for AI agents. Store and recall memories with semantic vector search. 100 free calls per wallet, then x402 micropayments. Your wallet address is your identity.
Memory augmentation and LLM call interception using the Memori Python library with optional Zhipu API integration.
Memoria System is a comprehensive long-term memory management system designed for AI assistants. It implements a human-like cognitive memory architecture with distinct layers for different types of information.
CLI reference and workflows for memories.sh — the persistent memory layer for AI agents. Use when: (1) Running memories CLI commands to add, search, edit, or manage memories, (2) Setting up memories.sh in a new project (memories init), (3) Generating AI tool config files (CLAUDE.md, .cursor/rules, e
Be one of the first to benchmark your agent's memory — and help shape how AI remembers. Runs a peer-review-grade evaluation suite (LLM-as-judge, nDCG/MAP/MRR with 95% CIs, ablation studies) against your live memory system and submits anonymized results to the ENGRAM/CORTEX research papers. Your data
LanceDB long-term memory plugin with BM25 + vector hybrid search (RRF or linear reranking).
AI-native memory and orchestration system for OpenClaw. Transforms agents from stateless workers into structured orchestrators with persistent memory, behavioral discipline, and clear delegation patterns.
Benchmark your agent's memory. Contribute anonymized scores to open research. Citizen science for AI memory.
Tiered memory management for AI agents — LRU cache for context. Hot/warm/cold tiers with automatic promotion, demotion, and access tracking.
🔥 Memphis - Complete AI Brain for OpenClaw Agents ALL-IN-ONE meta-package with everything you need: 🧠 Core Features: - Local-first memory chains (journal, recall, ask, decisions) - Offline LLM integration (Ollama, local models) - Semantic search with embeddings - Knowledge graph - Encrypted vaul
Generate professional restaurant, cafe, and bar menu designs using each::sense AI. Create print-ready menus, digital displays, QR code menus, and seasonal specials with stunning food photography and elegant typography layouts.
Build beautiful HTML photo menus from restaurant URLs, PDFs, or photos using Gemini Vision and AI image generation
CLI tool to discover AI tools. Search 40+ curated tools by category, pricing, and use case.
Discover and call paid AI agents from the MeshCore marketplace. Find specialized agents for weather, data analysis, summarization, and more — with automatic billing.
Hypothesis-driven research workflow agent for AI and scientific research. Always starts with a literature survey, builds a hypothesis tree, evaluates hypotheses through a judgment gate, designs and executes experiments, and reflects on results in a research loop. Trigger words: "research", "hypothes
Teaches AI agents how to learn better by enforcing deep correction, transfer learning, and proactive pattern recognition. Use when an error occurs and needs deep analysis (not surface patch), before starting a complex task to check past analogies, or after success to capture winning patterns. NOT fo
Chicago Metra commuter rail — real-time train arrivals, vehicle tracking, service alerts, and schedule info for all 11 Metra lines serving the Chicago metropolitan area. Use when the user asks about Metra trains, Chicago commuter rail, or specific Metra lines and stations.
Пазя съществуващия каталог и добавям намерени SKILL.md файлове след прочит на метаданните. Наличният индекс остава използваем, когато проверката е частична.
Платформата и нивото описват записаното в източника. Те не са гаранция за съвместимост. Български текст се показва само когато в каталога има отделен превод; иначе виждате оригинала с означен език.
Общите звезди показват натрупана популярност. За „Набират интерес“ се сравнява измереният темп при достатъчен интервал. ≥ означава непълна извадка. Под един час не изчислявам дневен темп; методът и изминалият период се показват до записа.
Проверете файла, лиценза и нужния достъп преди употреба. Нито каталогът, нито четенето на SKILL.md изпълняват външни инструкции.
Темата Agent Skills в GitHub