Laienverstaendlicher Sozialrechts-Skill zu Eilantrag Notfall. Erklaert Bescheid, Frist, Unterlagen, typische Fehler, naechste Schritte und einfache Formulierungen fuer Behoerde,…
Laienverstaendlicher Sozialrechts-Skill zu Ueberpruefungsantrag 44 Sgbx. Erklaert Bescheid, Frist, Unterlagen, typische Fehler, naechste Schritte und einfache Formulierungen fuer…
Building LLM agents with LangChain and LangGraph, covering tool-calling model initialization, state management, and observability with LangSmith.
Build and query vector stores with LangChain 1.0 without getting burned by flipped score semantics, embedding-dim mismatches, reranker quirks, and chunk-splitter bugs.
Model Context Protocol (MCP) server implementation patterns with LangChain4j. Use when building MCP servers to extend AI capabilities with custom tools, resources, and prompt…
Implement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pipelines, embedding stores, vector search strategies, and knowledge-enhanced AI…
Complete guide for building agents and workflows in LangConfig. Use when users need help configuring nodes, connecting agents, setting up tools, or designing multi-agent systems…
Langflow is an open-source visual builder for AI agents and workflows. It lets teams design flows graphically, expose them as APIs or MCP tools, and connect major LLMs, vector…
Langfuse Prompt Management MCP Server connects MCP clients to Langfuse prompt libraries so agents can list, retrieve, and compile managed prompts at runtime.
بناء AI Agents و Multi-Agent Systems باستخدام LangGraph و LangChain. استخدم هذا الـ skill عند: إنشاء agent ذكاء اصطناعي، بناء multi-agent system، تصميم workflow بـ LangGraph،…
Multi-agent systems with LangGraph - supervisor/swarm patterns, state coordination, multi-provider routing.
Implements stateful agent graphs using LangGraph. Use when building graphs, adding nodes/edges, defining state schemas, implementing checkpointing, handling interrupts, or…
Design and implement multi-agent workflows with LangGraph 0.2+ - state management, supervisor-worker patterns, conditional routing, and fault-tolerant checkpointing
Token-efficient Lark task creation from markdown test files. Uses 60-70% fewer tokens than lark-agent by executing MCP calls directly.
Sistema multi-agente especializado en mercados bursátiles de América Latina. ACTÍVALO ante cualquier mención de: bolsa colombiana, BVC, acciones colombianas, Ecopetrol,…
LazyLLM framework for building multi-agent AI applications. Use when task mentioned LazyLLM or AI program for: (1) Flow orchestration - linear, branching, parallel, loop workflows…
Develop apps/openai-serve (Go). Keep OpenAI gateway behavior correct and avoid logging prompts/outputs.
Repository orientation and which Codex skills to use for each area (go-lcpd, protocol spec, docs, openai-serve, ExecPlans).
Lead Développeur - Coordination technique opérationnelle, code review, mentoring et livraison. Pair de web-dev-process au niveau OPÉRATIONS. — from general/ai-tooling
Enter mab-broker lead/orchestrator mode — take a high-level goal, decompose into sub-tasks, dispatch to capable agents by capability, monitor progress, synthesize results.
Claude Code 초보자를 위한 인터랙티브 학습 튜터. 환경·수준·목표를 인터뷰한 뒤 가이드북 섹션을 동적으로 로드하여 맞춤 학습 경로와 실전 예제를 제공합니다. Use when: (1) Claude Code 학습, (2) 튜토리얼, (3) 사용법 안내가 필요할 때.
Kỹ năng đồng hành học tập thực chứng sâu sắc, phản biện trực diện và có trạng thái dành cho nhà phát triển Backend 3 năm kinh nghiệm (chủ đạo NestJS, Java Core) và lập trình AI.
Converts a Refound/Lenny Skill into a high-density, agent-executable Skill Pack (Agent Skills standard). Output must be in English.
Connect Freshdesk modules to MCP clients so agents can retrieve ticket context and prepare supervised support actions.
Letta framework for building stateful AI agents with long-term memory. Use for AI agent development, memory management, tool integration, and multi-agent systems.
Set up and run LettaBot - a multi-channel AI assistant for Telegram, Slack, Discord, WhatsApp, and Signal.
libllm - LLM API client for OpenAI-compatible endpoints. LlmApi class handles chat completions and embeddings via HTTP.
agent-im 会话技能 - 通过 liblib.tv 的 AI…
Prüfung eines eingehenden Lieferanten- oder Dienstleistervertrags gegen das Playbook der Rechtsabteilung.
Release every agent-scoped resource in the `finally` block so spawning, aborting, or finishing an agent leaves no lingering clients, hooks, caches, or background tasks.
Comprehensive guide to Git line ending configuration for cross-platform development teams. Use when configuring line endings, setting up .gitattributes, troubleshooting line…
Use Linear MCP server functions to interact with Linear issues, projects, teams, and comments. Use when: (1) Fetching issue requirements and acceptance criteria from Linear, (2)…
An MCP server that integrates Linear project management with AI assistants. Enables creating, searching, updating, and commenting on Linear issues, managing projects and teams,…
Call LinkAI applications and workflows. Use bash command to execute like 'bash
/scripts/call.sh '.
Validate and optionally autofix SKILL.md, CLAUDE.md, AGENTS.md, hooks, and MCP config files before bad agent metadata or wiring silently breaks a workflow.
llama.cpp is a high-performance C/C++ implementation for running LLM inference across diverse hardware.
When setting up local LLM inference without cloud APIs. When running GGUF models locally. When needing OpenAI-compatible API from a local model.
Build LLM applications with LlamaIndex. Create indexes, query engines, and data connectors. Use for RAG applications, document search, and knowledge base systems.
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.
Use this when: run a model locally, which model fits my GPU, my inference is too slow, serve LLM in production, how to quantize a model, too many concurrent users, self-host an…
Use when improving prompts for any LLM. Applies proven prompt engineering techniques to boost output quality, reduce hallucinations, and cut token usage.
Use when installing MCP packages and configuring Claude-side MCP registration, hooks, permissions, IDE extension mode, and migrations.
Creates AGENTS.md canonical and CLAUDE.md @AGENTS.md stub; audits token budget, cache safety, import-pattern compliance. Use when instruction files need alignment.
Merge local and MCP skill sources into one listing surface and dedupe by stable command name before announcing them.
Use when querying, ingesting, or maintaining a local RAG MCP corpus for semantic document retrieval with privacy controls.
Comprehensive guide for using Local Skills MCP - creating skills in the right locations, understanding skill directories, setup, and configuration.
Codex-local role pack for dialectic multi-agent reviews, designed to be compatible with the local vibe skill.
**Domain**: Software localization, internationalization, multilingual application development — from general/ai-tooling
Coordinate fresh workers, subagents, and parallel execution safely. Use when executing a plan with independent tasks, dispatching multiple agents, reviewing child outputs,…
Use when installing, bootstrapping, configuring, starting, verifying, operating, or troubleshooting Looper, looperd, the looper CLI, ~/.looper config, or runtime paths; when…
Skip the background memory extractor when the main agent already persisted memory during the same turn to avoid duplicates and race hazards.
Normalize the main thread to a concrete empty-string key so agent-scoped state maps treat main and forked threads uniformly.
Maklervertrag Paragraph 656a BGB Textform - BGH I ZR 202/25 vom 11. Maerz 2026: E-Mail-Austausch erfuellt Textform auch auf getrennten Datentraegern; konkludenter Abschluss…
Prüft Maklerlohn, Nachweis/Vermittlung, Kausalität, Textform, Verbraucherfragen und Verflechtung.
Mallary gives your AI agents the ability to post, schedule, upload media, and check analytics across every major social platform with one unified interface.