Your agent builds your LinkedIn presence while you sleep. Schedule posts, auto-engage with target accounts, run personalized DM sequences, and never miss an engagement…
Für Linking, Embedding und Framing: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.
Agent-to-agent backlink exchange network. Register sites, discover partners, exchange links automatically.
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.
学术文献检索助手，专为撰写 Related Work / 文献综述设计。 从 IEEE Xplore、Semantic Scholar、arXiv 检索论文，默认聚焦 IEEE 顶刊/顶会。 支持交互式需求确认、多轮多关键词搜索、BibTeX 导出、摘要收集。 触发词：查文献、搜论文、literature search、related w — from…
Run the live e2e suite or verify a change against a live D365 org. Use when running `pytest -m e2e` / `D365_E2E=1`, picking a live target or profile (agent-cloud, agent-on-prem,…
Create your LiveKit Agents skill from official documentation, then learn to improve it throughout the chapter — from majiayu000/claude-skill-registry
Lizenzvertrag: Fristennotiz und nächster Schritt: Lizenzvertrag: Fristennotiz und nächster Schritt.
Gebrauchsmusterlizenz prüfen oder entwerfen: Schutzrecht, Know-how, Territory, Field of Use, Royalty, Audit, Rechtsbestand, Kündigung und Nichtigkeitsrisiko im…
Solo-Selbstständige: erstellt kleine Lizenz mit Laufzeit, Gebiet, Vergütung und Audit; mit Abfrage von Tätigkeit, Status, Belegen, Fristen, Geldfolge und konkretem nächstem…
Entwurf und Review eines urheberrechtlichen Lizenzvertrags mit präziser Nutzungsrechtseinräumung nach §§ 31–37 UrhG, Zweckübertragungsregel § 31 V UrhG und Angemessenheits-Check…
Lizenzvertraege für Urheberrechte Leistungsschutzrechte oder Marken verhandeln und gestalten: §§ 31 ff. UrhG Nutzungsrechte §§ 87a ff. UrhG Leistungsschutz. Prüfra...
llama.cpp is a high-performance C/C++ implementation for running LLM inference across diverse hardware.
Run GGUF models directly, load LoRA adapters, benchmark inference speed, and serve models via llama-server using llama.cpp.
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.
Build LLM applications with LlamaIndex. Create indexes, query engines, and data connectors. Use for RAG applications, document search, and knowledge base systems.
Code calling LLM APIs — model output is untrusted input: defensive parsing, server-side schema validation, authorization never from model output, approval-gated writes, injection…
Production-ready patterns for building LLM applications, inspired by [Dify](https://github.com/langgenius/dify) and industry best practices.
Production-ready patterns for building LLM applications, inspired by [Dify](https://github.com/langgenius/dify) and industry best practices. — from majiayu000/claude-skill-registry
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 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. — from Bhomesh/agent-harness
You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph. — from majiayu000/claude-skill-registry
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 expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning — from…
You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning — from…
Detects common LLM coding agent artifacts in codebases. Identifies test quality issues, dead code, over-abstraction, and verbose LLM style patterns.
Use when the user wants to chat with a non-Claude model (GPT-4o, Claude via Copilot, Kimi, GLM, MiniMax), get a second opinion from another LLM, compare model responses, or when…
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…
Guide and workflow for LLM Prompt Engineering - System Instruction Best Practices. Use when you need LLM Prompt Engineering - System Instruction Best Practices.
Use when improving prompts for any LLM. Applies proven prompt engineering techniques to boost output quality, reduce hallucinations, and cut token usage.
Use when improving prompts for any LLM. Applies proven prompt engineering techniques to boost output quality, reduce hallucinations, and cut token usage.
Build production LLM streaming UIs with Server-Sent Events, real-time token display, cancellation, error recovery. Handles OpenAI/Anthropic/Claude streaming APIs.
Prüft Übertragung von Kreditanteilen in syndizierten Finanzierungen, Consent, Agent-Prozess, Borrower Notices und Register im Private Equity Praxis.
Analyzes current or recent session for errors, inefficiencies, and improvement opportunities across skills, tools, hooks, and communication.
Analyzes current or recent session for errors, inefficiencies, and improvement opportunities across skills, tools, hooks, and communication.
Analyzes current or recent session for errors, inefficiencies, and improvement opportunities across skills, tools, hooks, and communication.
Use when installing MCP packages and configuring Claude-side MCP registration, hooks, permissions, IDE extension mode, and migrations.
Audits CLAUDE.md, AGENTS.md, GEMINI.md for token budget, prompt cache safety, compact instructions, and cross-agent consistency.
Creates AGENTS.md canonical and CLAUDE.md @AGENTS.md stub; audits token budget, cache safety, import-pattern compliance. Use when instruction files need alignment.
Creates AGENTS.md canonical and CLAUDE.md @AGENTS.md stub; audits token budget, cache safety, import-pattern compliance. Use when instruction files need alignment.
Decomposes scope into Epics, Stories, and RICE priorities. Use when user has project scope and wants full Agile breakdown. — from majiayu000/claude-skill-registry
Reviews task implementation for quality, code standards, and test coverage. Use when task is in To Review. Sets task Done or To Rework. — from majiayu000/claude-skill-registry
Runs parallel external agent reviews (Codex + Gemini) on code changes. Process-as-arrive, critical verification with debate. Returns filtered suggestions.
Analyzes single pattern implementation, calculates compliance/completeness/quality scores, identifies gaps. Use when auditing a specific pattern.
Analyzes single pattern implementation, calculates compliance/completeness/quality scores, identifies gaps. Use when auditing a specific pattern.
Analyzes single pattern implementation, calculates compliance/completeness/quality scores, identifies gaps. Use when auditing a specific pattern.
L3 Worker. Analyzes single pattern implementation, calculates 4 scores (compliance, completeness, quality, implementation), identifies gaps and issues.
L3 Worker. Audits layer boundaries + cross-layer consistency: I/O violations, transaction boundaries (commit ownership), session ownership (DI vs local).
Builds dependency graph, detects cycles, validates boundary rules, calculates coupling metrics (Ca/Ce/I). Use when auditing dependency structure.
Discovers custom modules replaceable by OSS, evaluates alternatives (stars, license, CVE), generates migration plan. Use when reducing custom code.
Checks env var config sync, missing defaults, naming conventions, startup validation. Use when auditing environment configuration. — from majiayu000/claude-skill-registry
Read the current project's agent-hub profile and orient the team to this project's stack, commands, and conventions.
Attiva questa competenza quando un apprendente vuole: - Eseguire un agente completamente sul dispositivo per motivi di privacy, costo o offline.
Merge local and MCP skill sources into one listing surface and dedupe by stable command name before announcing them.
Use when the user wants to check their calendar, find availability, or create/update/delete events on a Mac (Apple Calendar / EventKit). Powered by Local MCP — local, no OAuth.
Use when the user wants to read, search, summarize, draft or triage their Apple Mail / Gmail / Outlook / iCloud email on a Mac.
Use when the user wants to read or search iMessage, Microsoft Teams, Slack, WhatsApp or Signal on their Mac — things cloud connectors can't reach. Powered by Local MCP, local-only.