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Claude Skills by majiayu000
github.com/majiayu00015,497 skills907 installs34,333 views
- Ask Before AssumingIf requirements are unclear or ambiguous, ask clarifying questions before proceeding Use when configuring AI agent workflows and patterns. Agent Behavior category skill.Votes: 0GitHub stars: 666
- Auto CoderAutonomous multi-session feature development framework. Use when the user wants to systematically implement features from a specification, track progress across sessions, and ensure all tests pass before marking features complete. Activated by the /lynyx-agent-kit:auto-coder command or when working with feature_list.json files in an .auto-coder directory.Votes: 0GitHub stars: 666
- Autonomous Agent Patterns Sickn33 Antigravity Awesome 3Design patterns for building autonomous coding agents, inspired by [Cline](https://github.com/cline/cline) and [OpenAI Codex](https://github.com/openai/codex).Votes: 0GitHub stars: 666
- Autonomous Agents Sickn33 Antigravity AwesomeAutonomous agents are AI systems that can independently decomposeVotes: 0GitHub stars: 666
- Autonomous Ioku24 AutorankrExecute 1-2+ hour tasks autonomously with minimal supervision. Requires Task Contract (OUTCOME, EXCLUSIONS, DURATION, GUARDRAILS) upfront, then executes with clarification → plan → autonomous work → session report.Votes: 0GitHub stars: 666
- Autonomous Loop Bigdegenenergy Open Cloud OpsAutonomous development loop patterns for iterative self-improvement. Auto-triggers when implementing features autonomously, fixing bugs in a loop, or running until completion. Based on frankbria/ralph-claude-code.Votes: 0GitHub stars: 666
- Autonomous Skill Feiskyer Claude Code SettingsExecute long-running, multi-session tasks autonomously using Claude Code headless mode or in-session hook-based loops. Supports structured task decomposition (for complex projects) and lightweight Ralph-style iteration (for TDD, bug fixing, refactoring). Use this skill whenever the user says "autonomous", "long-running task", "multi-session", "run this in the background", "keep working on this", "batch process", "iterate until done", "ralph loop", or wants any task that requires sustained, un...Votes: 0GitHub stars: 666
- Autonomous Skill Feiskyer Codex SettingsUse when user wants to execute long-running tasks that require multiple sessions to complete. This skill manages task decomposition, progress tracking, and autonomous execution using Codex non-interactive mode with auto-continuation. Trigger phrases include autonomous, long-running task, multi-session, 自主执行, 长时任务, autonomous skill.Votes: 0GitHub stars: 666
- Autopilot Chanhee Kang Oh My GeminiFull autonomous execution from idea to working codeVotes: 0GitHub stars: 666
- Autopilot Ianphil Prism 2This skill should be used when the user asks to "run autopilot", "autopilot feature N", "implement all phases", "run all phases sequentially", "autopilot 003", or wants to automatically implement all phases of a feature in sequence without manual intervention.Votes: 0GitHub stars: 666
- Backend Implementation Shaul1991 Shaul Agents PluginBackend Implementation Workflow Agent. Backend만 구현이 필요한 경우 사용합니다. API 추가, 서비스 로직 구현, DB 스키마 변경 등을 오케스트레이션합니다.Votes: 0GitHub stars: 666
- Behavioral Modes Darthlinuxer Agentic Skills 3AI operational modes (brainstorm, implement, debug, review, teach, ship,Votes: 0GitHub stars: 666
- Behavioral Modes Sickn33 Antigravity AwesomeAI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.Votes: 0GitHub stars: 666
- Bmad Agent BuilderBuilds, edit or validate Agent Skill through conversational discovery. Use when the user requests to "Create an Agent", "Optimize an Agent" or "Edit an Agent".Votes: 0GitHub stars: 666
- Core Actionbook Rustfs RustfsPre-computed action manuals for browser automation. Agents receive structured page information instead of parsing entire HTML.Votes: 0GitHub stars: 666
- Llm Application Dev Prompt Optimize Brunolimaff Jpg Novo App PlaYou are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimizatiVotes: 0GitHub stars: 666
- Llm Evaluation Sickn33 Antigravity AwesomeMaster comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing.Votes: 0GitHub stars: 666
- Llm JudgeLLM-as-judge methodology for comparing code implementations across repositories. Scores implementations on functionality, security, test quality, overengineering, and dead code using weighted rubrics. Used by /beagle:llm-judge command.Votes: 0GitHub stars: 666
- Llm Mcp Builder Dev Arustydev Ai 2Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).Votes: 0GitHub stars: 666
- Llm Streaming Response HandlerBuild production LLM streaming UIs with Server-Sent Events, real-time token display, cancellation, error recovery. Handles OpenAI/Anthropic/Claude streaming APIs. Use for chatbots, AI assistants, real-time text generation. Activate on "LLM streaming", "SSE", "token stream", "chat UI", "real-time AI". NOT for batch processing, non-streaming APIs, or WebSocket bidirectional chat.Votes: 0GitHub stars: 666
- Model ManagerTest, validate, and add new AI models to the eval suite. Use when user asks to add new models, test model access, check pricing, or update models.yml.Votes: 0GitHub stars: 666
- Prompt Engineer Erichowens Some Claude SkillsExpert prompt optimization for LLMs and AI systems. Use PROACTIVELY when building AI features, improving agent performance, or crafting system prompts. Masters prompt patterns and techniques.Votes: 0GitHub stars: 666
- Prompt Engineering Mudassarabrar Sage Gemini Live AgeExpert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting strategies, or debug agent behavior.Votes: 0GitHub stars: 666
- Rag Engineer Sickn33 Antigravity AwesomeExpert in building Retrieval-Augmented Generation systems. MastersVotes: 0GitHub stars: 666
- Rag Implementation Clinscott CstarRAG (Retrieval-Augmented Generation) implementation workflow covering embedding selection, vector database setup, chunking strategies, and retrieval optimization.Votes: 0GitHub stars: 666
- Rag QualityRAG 시스템 품질 평가 및 개선을 위한 스킬입니다. RAGAS 기반 LLM-as-Judge 평가, 사용자 페르소나 시뮬레이션, 합성 데이터 생성, 평가 결과 저장 및 분석 기능을 제공합니다.Votes: 0GitHub stars: 666
- Rag Service高性能 RAG 多路检索服务。集成 Milvus 向量数据库进行语义检索，并结合 Rerank 模型进行精准重排序，支持海量文档的高效存储与历史内容召回。Votes: 0GitHub stars: 666
- Reasoning ControlsUse when adjusting reasoning depth, budgets, or metrics visibility - provides guidance for selecting and applying reasoning controls safely.Votes: 0GitHub stars: 666
- Reasoning Patterns V2Use this skill for rigorous theoretical derivation with supercollider mode (G1-G7 simultaneous), diffusion reasoning, and synthesis engine. Applies enhanced Dokkado Protocol with generator hooks, meta-pattern recognition, and cognitive state awareness. Essential for MONAD-level framework development, cross-domain isomorphism detection, and resonant pattern synthesis. Evolution of reasoning-patterns with full gremlin-brain integration.Votes: 0GitHub stars: 666
- Ricardoroche Ricardos Claude Code Claude Skills Model SelectionAutomatically applies when choosing LLM models and providers. Ensures proper model comparison, provider selection, cost optimization, fallback patterns, and multi-model strategies.Votes: 0GitHub stars: 666
- Script Kit McpModel Context Protocol (MCP) implementation for Script Kit. Use when working with MCP server, JSON-RPC 2.0 protocol, kit tools, script tools, resources, or SSE streaming. Triggers on: "mcp", "json-rpc", "kit tools", "script tools", "resources", "sse streaming", "audit logging".Votes: 0GitHub stars: 666
- Semantic Kernel Housegarofalo Claude Code BaseBuild AI applications with Microsoft Semantic Kernel. Create plugins, planners, and memory systems. Use for enterprise AI, copilot development, and Microsoft ecosystem integrations.Votes: 0GitHub stars: 666
- Senior Prompt Engineer Nimeshgurung Artifact Hub CollectWorld-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.Votes: 0GitHub stars: 666
- Skill Model RoutingRoute tasks to appropriate model size based on confidence estimation. Use small model by default, escalate to large model only on low confidence. Achieves 87% faster learning and 10-30x cost reduction while maintaining accuracy. Triggers on "optimize cost", "model routing", "confidence threshold", "small model first", "escalate on uncertainty".Votes: 0GitHub stars: 666
- Skills Finimo Solutions ResearchSystematically evaluate your LLM application with TruLensVotes: 0GitHub stars: 666
- Smart Model SwitchingAuto-route tasks to the cheapest Claude model that works correctly. Three-tier progression: Haiku → Sonnet → Opus. Classify before responding. HAIKU (default): factual Q&A, greetings, reminders, status checks, lookups, simple file ops, heartbeats, casual chat, 1-2 sentence tasks. ESCALATE TO SONNET: code >10 lines, analysis, comparisons, planning, reports, multi-step reasoning, tables, long writing >3 paragraphs, summarization, research synthesis, most user conversations. ESCALATE TO OPUS: ar...Votes: 0GitHub stars: 666
- Sora Video Acedatacloud SkillsGenerate AI videos with OpenAI Sora via AceDataCloud API. Use when creating videos from text prompts, generating videos from reference images, or using character references from existing videos. Supports text-to-video, image-to-video, and character-driven generation with multiple models and resolutions.Votes: 0GitHub stars: 666
- Spec Driven CollaborationGenerate self-contained collaboration documents for sharing issues with external AI systems (Gemini, ChatGPT, etc.) with structural anti-skip enforcement (Execute-Verify-Record pattern at every step). Interactively gathers context, reads actual code files, loads constitutional constraints, and produces a complete 10-section package ready to paste into the target LLM. Use when the user wants to collaborate with another AI, share an issue for joint problem-solving, get a fresh perspective from ...Votes: 0GitHub stars: 666
- System PromptsWrite system prompts, tool docs, and agent definitions. Combines research-backed prompt engineering (+15-30% measured improvements) with project XML conventions. Covers tag hierarchy, structural templates, high-impact interventions, anti-patterns.Votes: 0GitHub stars: 666
- Tavily Web Sickn33 Antigravity AwesomeWeb search, content extraction, crawling, and research capabilities using Tavily API. Use when you need to search the web for current information, extracting content from URLs, or crawling websites.Votes: 0GitHub stars: 666
- Uncertainty RoutingRoute tasks to small model by default, escalate to large model only on low confidence detection, achieving 87% faster learning and 10-30x cost reduction while maintaining accuracy. Use for cost optimization, confidence-based delegation, routine vs complex task routing, and resource efficiency. Triggers on "optimize cost", "model routing", "confidence threshold", "small model first", "escalate on uncertainty".Votes: 0GitHub stars: 666
- Unsloth SftSupervised fine-tuning using SFTTrainer, instruction formatting, and multi-turn dataset preparation with triggers like sft, instruction tuning, chat templates, sharegpt, alpaca, conversation_extension, and SFTTrainer.Votes: 0GitHub stars: 666
- Using Llm SpecialistLLM specialist router to prompt engineering, fine-tuning, RAG, evaluation, and safety skills.Votes: 0GitHub stars: 666
- Vercel Ai Sdk V5Expert-level Vercel AI SDK v5 patterns for production chatbots. Use for: (1) Chat persistence with Drizzle/PostgreSQL, (2) Generative UI with typed tool parts, (3) Human-in-the-loop tool confirmations, (4) Custom data streaming with reconciliation, (5) Anthropic provider with extended thinking/reasoning, (6) Type-safe message metadata with token tracking. Covers advanced patterns only - assumes basic AI SDK knowledge. NOT for AI SDK v6.Votes: 0GitHub stars: 666
- Verify PromptCompare original and distilled prompts to verify the distillation is faithful and lossless. Checks completeness, accuracy, and appropriate conciseness.Votes: 0GitHub stars: 666
- Virtuals Protocol Enuno Claude Command And C 3Virtuals Protocol - Build, tokenize, and deploy autonomous AI agents on Base/Solana. Use for creating agents with GAME framework, launching agent tokens, implementing Agent Commerce Protocol (ACP), and building AI-powered applications.Votes: 0GitHub stars: 666
- Voice Ai Development Sickn33 Antigravity AwesomeExpert in building voice AI applications - from real-time voiceVotes: 0GitHub stars: 666
- Workers AiThis skill should be used when the user asks about "Workers AI", "AI models", "text generation", "embeddings", "semantic search", "RAG", "Retrieval Augmented Generation", "AI inference", "LLaMA", "Llama", "bge embeddings", "@cf/ models", "AI Gateway", or discusses implementing AI features, choosing AI models, generating embeddings, or building RAG systems on Cloudflare Workers.Votes: 0GitHub stars: 666
- 00 Build Alignment SkillCreate your model-alignment skill from TRL documentation before learning DPO theoryVotes: 0GitHub stars: 666
- 00 Finalize Llmops SkillConsolidate all Part 8 skills into a production-ready llmops-fine-tuner skillVotes: 0GitHub stars: 666