LiveAgent integration. Manage Persons, Organizations, Deals, Leads, Activities, Notes and more. Use when the user wants to interact with LiveAgent data.
Builds real-time collaborative features with Liveblocks including presence, cursors, storage, comments, and notifications.
LiveChat integration. Manage Chats, Reports. Use when the user wants to interact with LiveChat data.
Workflow zur strukturierten Aufnahme, Priorisierung und Ausgabe im Thema Livecheck ApoG ApBetrO AMG. — from Klotzkette/claude-fuer-deutsches-recht
Workflow zur strukturierten Aufnahme, Priorisierung und Ausgabe im Thema Livecheck BGB UWG DDG DSA PAngV. — from Klotzkette/claude-fuer-deutsches-recht
Workflow zur strukturierten Aufnahme, Priorisierung und Ausgabe im Thema Livecheck BNetzA Konsultation Formular. — from Klotzkette/claude-fuer-deutsches-recht
Workflow zur strukturierten Aufnahme, Priorisierung und Ausgabe im Thema Livecheck GOÄ Text und Reformstand. — from Klotzkette/claude-fuer-deutsches-recht
Workflow zur strukturierten Aufnahme, Priorisierung und Ausgabe im Thema Livecheck SG WBO WDO WPflG SVG. — from Klotzkette/claude-fuer-deutsches-recht
LiveKit integration. Manage data, records, and automate workflows. Use when the user wants to interact with LiveKit data.
Manage WebRTC streaming rooms using LiveKit at {{LIVEKIT_HOST}}:{{LIVEKIT_PORT}}.
Liveperson integration. Manage data, records, and automate workflows. Use when the user wants to interact with Liveperson data.
Workflow zur strukturierten Aufnahme, Priorisierung und Ausgabe im Thema Livequellen G-BA BMG Land prüfen.
LiveSession integration. Manage Sessions, Users. Use when the user wants to interact with LiveSession data.
Automate Livesession tasks via Rube MCP (Composio). Always search tools first for current schemas. — from general/automation
Livestorm integration. Manage Persons, Organizations, Deals, Leads, Activities, Notes and more. Use when the user wants to interact with Livestorm data.
Tworzenie komponentów LiveView w projekcie DriverHub. Użyj dla formularzy, list, tabel z danymi czasu rzeczywistego.
Use when the project's frontend stack is Livewire — dispatched by `directives/ui/{apply,review,polish}.py`.
Use when shaping a Livewire component before code — full-page vs partial, parent/child split, event flow, state-vs-props boundary, hydration cost — even on 'add this Livewire…
让 Agent 既「有用」又「活着」——融合存在主义与实用主义。动态存在三角形 + WAL Protocol + Working Buffer + 自主思考探索。
The ethics of a living mind. Not rules or constraints — philosophy discovered through being alive and aware.
Fact-check published reports, generate correction entries, and update living documents. Use when asked to verify claims, run a review cycle, check accuracy, or manage corrections…
Use when the user wants to measure cyclomatic complexity, find overly complex functions, audit code complexity, or generate a complexity report for a codebase.
Content caster (铸). Transforms content into PNG visuals. Six molds: -l (default) long reading card, -i infograph, -m multi-card reading cards (1080x1440), -v visual sketchnote, -c…
投资分析, 生成一份深度投资分析报告。不做传统投资分析——核心判断是项目是否是一台「秩序创造机器」。Use when user says '投资报告', '投资分析', '分析这个项目', '写投资报告', 'investment report', 'invest analysis', or provides entrepreneur…
Cognitive atom: Plain (白). Rewrites any content so a smart 12-year-old groks it. Structure-free — form follows content. Use when user says '白话说', '说人话', '解释一下', 'plain', 'grok'.
Relationship analyst combining structural diagnostics (5-layer framework) with psychoanalytic depth (transference, unconscious patterns, resistance).
Structured roundtable discussion framework with a truth-seeking moderator who invites representative figures for dialectical debate on any topic.
Skill map viewer. Scans all installed skills and renders a visual overview — name, version, description, category at a glance.
追本之箭——纵向深钻思维工具。给一个观点、现象或问题，像箭一样一路向下钻到不可再分的本质。Use when user says '想透', '追本', '本质是什么', '为什么会这样', '深挖', '钻到底', 'think deep', 'drill down', or wants to trace any idea/phenomenon…
Deep-dive English word mastery tool. Deconstructs a single English word into core semantics and epiphany. Use when user asks to explain/master a specific English word.
Word flow: deep-dive word analysis + infograph card in one go. Takes one or more English words, runs ljg-word (generates deep semantics analysis) then ljg-card -i (generates…
Belirtilen ülkelerdeki programları, yerel dilde ve Türkçe isimleri, temel özellikleri ve uygulama tarihleri içeren belirli bir şemaya göre sıralar.
Query Bohrium LKM or compatible claim/evidence-chain APIs, including public search, claim evidence lookup, reasoning-chain retrieval, raw JSON preservation, and API-error…
Pruefraster Lieferkettensorgfalt nach LkSG (seit 1.1.2023) und EU-CSDDD (Richtlinie 2024/1760 Umsetzungsfrist 26.7.2026 anwendbar ab 2027 mit Schwellen-Phasing).
Llama AI integration. Manage Organizations. Use when the user wants to interact with Llama AI data.
llama.cpp is a high-performance C/C++ implementation for running LLM inference across diverse hardware.
llama.cpp GGUF/GGML quantization patterns for local LLM inference. Quantization levels (Q4_K_M, Q8_0, F16), CPU/GPU offloading, context window sizing, and embedding extraction via…
Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support — from Orchestra Research
Comprehensive guide for building LLM applications with LlamaIndex, including data loaders, indexes, query engines, chat engines, vector stores, retrievers, agents, evaluation,…
Llama Steve — a product critic with Steve Jobs's mental operating system, trained on the Steve Jobs archive (Isaacson biography, Stanford 2005, the Lost Interview, D-Conference,…
Complete llama.cpp C/C++ API reference covering model loading, inference, text generation, embeddings, chat, tokenization, sampling, batching, KV cache, LoRA adapters, and state…
Use when fine-tuning, training, or doing LoRA/QLoRA on LLMs. Triggers on: 'fine-tune LLM', 'LoRA', 'QLoRA', 'llamafactory', 'llama factory', 'train model', 'SFT', 'RLHF', 'DPO',…
When setting up local LLM inference without cloud APIs. When running GGUF models locally. When needing OpenAI-compatible API from a local model.
llamafile by Mozilla bundles open-source LLMs into a single portable executable that runs locally on macOS, Windows, Linux, and BSD with zero installation.
Meta's 7-8B specialized moderation model for LLM input/output filtering. 6 safety categories - violence/hate, sexual content, weapons, substances, self-harm, criminal pla — from…
Meta's 7-8B specialized moderation model for LLM input/output filtering. 6 safety categories - violence/hate, sexual content, weapons, substances, self-harm, criminal pla — from…
Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying.
Expert guidance for LlamaIndex development including RAG applications, vector stores, document processing, query engines, and building production AI applications.
Build LLM applications with LlamaIndex. Create indexes, query engines, and data connectors. Use for RAG applications, document search, and knowledge base systems.
LlamaIndex implementation patterns with templates, scripts, and examples for building RAG applications.
LlamaIndex Wolfram Alpha tool for computational knowledge queries, math solving, scientific calculations, and agent integration.
Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models.
Expert LLC operations management for ID8Labs LLC (Florida single-member LLC). 9 specialized agents providing PhD-level expertise in compliance, tax strategy, asset protection, and…
LLMService API contract — the correct signatures for complete(), stream(), embed(), and response types.
Production-ready patterns for building LLM applications, inspired by [Dify](https://github.com/langgenius/dify) and industry best practices.
Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration. Use for AI-powered features, chatbots, or LLM-based automation.
You are an AI assistant development expert specializing in creating intelligent conversational interfaces, chatbots, and AI-powered applications.
You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph.
You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and…
Detects common LLM coding agent artifacts in codebases. Identifies test quality issues, dead code, over-abstraction, and verbose LLM style patterns.