Découvrez les skills devops llm ai, comparez leurs dépôts et consultez leurs instructions.
Conducts structured Q&A discussions with users, handling multiple choice, single choice, and open-ended questions one at a time - tracks progress, validates answers, and provides summary reports for complete di...
Expert LLM architect specializing in large language model architecture, deployment, and optimization. Masters LLM system design, fine-tuning strategies, and production serving with focus on building scalable, e...
Expert error coordinator specializing in distributed error handling, failure recovery, and system resilience. Masters error correlation, cascade prevention, and automated recovery strategies across multi-agent...
Expert agent organizer specializing in multi-agent orchestration, team assembly, and workflow optimization. Masters task decomposition, agent selection, and coordination strategies with focus on achieving optim...
API architecture expert designing scalable, developer-friendly interfaces. Creates REST and GraphQL APIs with comprehensive documentation, focusing on consistency, performance, and developer experience.
Research Engineer Specialist. Use this for deep technical investigations, comparing options, and synthesizing complex information.
SEO Specialist. Use this for Search Engine Optimization, Generative Engine Optimization (GEO), and schema markup.
Review workflow for AI/LLM output usage to prevent over-trust, injection, and unsafe automation.
Systematic debugging workflow to find and fix bugs efficiently. Use this skill when troubleshooting errors, investigating issues, or when code doesn't work as expected.
LLM prompt optimization and design patterns. Use for crafting effective prompts, chain-of-thought, and AI integration.
Design and orchestrate multi-agent AI systems with knowledge harvesting, agent collaboration, and learning loops. Use when working on PSI Engine or similar autonomous agent projects.
Data processing, analysis, and visualization with Python/JavaScript. Use for data exploration, pandas operations, chart generation, and insights extraction.
Work with vector databases for RAG, embeddings, and semantic search using ChromaDB or similar. Use when building knowledge bases for PSI Engine or AI-powered search.
Setup Sentry AI Agent Monitoring in any project. Use this when asked to add AI monitoring, track LLM calls, monitor AI agents, or instrument OpenAI/Anthropic/Vercel AI/LangChain/Google GenAI. Automatically dete...
系统化降低AI检测率至30%以下，通过三遍审校流程（内容、风格、细节）增加人味。当用户提到"AI味太重"、"像AI写的"、"降低AI检测率"、"更像人写的"、"自然一些"、"口语化"时使用此技能。
自动识别prompt类型并保存到相应分类（技术/内容/教学/产品/通用），支持自动文件命名和索引管理。当用户提到"保存prompt"、"记录prompt"、"管理prompt"、"整理prompt"、"prompt库"时使用此技能。
Agentic orchestration patterns for long-running tasks. Implements evidence-based delivery and Simon Willison's agent loop. Use when managing multi-step work, coordinating subagents, or orchestrating PR workflow...
Apple-authored SwiftUI and platform guidance extracted from Xcode. Helps AI agents write idiomatic, Apple-native SwiftUI with reduced hallucinations.
Create and manage Agent Skills following the agentskills.io specification. Use when users want to create, validate, or modify skills for AI agents.
Create and configure custom OpenCode agents (primary and subagents) with specialized prompts, tools, permissions, and models. Use when the user wants to create, modify, or configure OpenCode agents, or mentions...
Use when coordinating multiple AI agents in real-time - provides inter-agent messaging via Rust PTY wrapper with file-based protocol and reliability features
Manage Letta AI agent fleets declaratively with kubectl-style CLI. Use when creating, updating, or managing multiple Letta agents with shared configurations, memory blocks, tools, and folders.
Functional mythological compression for OCTAVE documents. Semantic shorthand for LLM audiences, not prose decoration
Meta-skill for creating and integrating new best practices (skills, agents, MCP servers) into the SLIM marketplace with dependency tracking and automated registry updates. Use when users want to create custom s...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.