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Claude Skills by majiayu000
github.com/majiayu00015,497 skills907 installs34,333 views
- Readwise ChatChat with Readwise highlights using GPT-5.1 RAG. Use when the user wants to ask questions about their reading library, get summaries across documents, or have a conversation about their highlights. Triggers on "ask readwise", "chat about my highlights", "what do my notes say about", "summarize my reading on".Votes: 0GitHub stars: 666
- Reasoning FrameworkReasoning and planning framework. Defines task analysis, risk assessment, hypothesis forming. Applied automatically for complex requests.Votes: 0GitHub stars: 666
- Reasoning ModelsMulti-provider reasoning/thinking configuration. Discriminated unions for OpenAI effort, Anthropic budget, Google level/budget, DeepSeek middleware. Triggers on "reasoning", "thinking", "o1", "deepseek", "extended-thinking", "thinkingEffort", "reasoningEffort".Votes: 0GitHub stars: 666
- Recap回顾最近 N 天的 Claude Code 使用记录——扫描原始会话数据，按主题分组汇总"我都做了什么"，并从个人操作系统视角输出模式、风险与增删建议。当用户说 /recap、"看看我这几天做了什么"、"回顾一下我最近的会话"、"这两天我用 claude 干了啥"、"活动回顾" 时使用。Votes: 0GitHub stars: 666
- Recursive Refiner Agentgptsmith Monadframework 06e14d65Self-improvement engine. Implements generate-critique-iterate loops for enhanced reasoning. Use when working through complex problems, synthesizing across domains, or when initial output needs refinement. Integrates with ego-check to prevent runaway confidence. Maximum 3 iterations to conserve tokens.Votes: 0GitHub stars: 666
- Ref Hallucination ArenaBenchmark LLM reference recommendation capabilities by verifying every cited paper against Crossref, PubMed, arXiv, and DBLP. Measures hallucination rate, per-field accuracy (title/author/year/DOI), discipline breakdown, and year constraint compliance. Supports tool-augmented (ReAct + web search) mode. Use when the user asks to evaluate, benchmark, or compare models on academic reference hallucination, literature recommendation quality, or citation accuracy.Votes: 0GitHub stars: 666
- Ref Toon FormatTOON format knowledge and usage patterns for agent communication and memory persistence in plan-marshall marketplaceVotes: 0GitHub stars: 666
- Refine Prompt PlanIteratively review and revise a prompt plan until no new findings survive evaluation. Runs /review-prompt-plan, /evaluate-findings, /apply-findings, then re-runs itself until stable. Use when the user asks to \"refine the prompt plan\", \"refine this prompt plan\", \"iterate on the prompt plan\", \"tighten the prompt plan\", or \"improve the prompt plan\".Votes: 0GitHub stars: 666
- Refine PromptThis skill should be used when the user asks to "refine a prompt", "optimize a prompt", "improve my prompt", "rewrite prompt for LLM", "craft a better prompt", or mentions prompt engineering, prompt optimization, or appending to PROMPT.md.Votes: 0GitHub stars: 666
- Refine Prompts Git Fg Meta Plugin Manager 2Refine vague or unclear prompts into precise, actionable instructions. Use when user asks to clarify or improve instructions or when input is vague. Includes L1/L2/L3/L4 methodology, context enrichment, and intent clarification. Not for already clear prompts, simple questions, or when user explicitly rejects refinement.Votes: 0GitHub stars: 666
- Renderful AiGenerate images and videos via renderful.ai API (FLUX, Kling, Sora, WAN, etc.) with crypto payments. Use when the user wants to create AI images, videos, or needs a crypto-friendly generation service. Triggers: renderful, renderful.ai, generate image, generate video, crypto payment generationVotes: 0GitHub stars: 666
- Repomix Avibebuilder Claude PrimePackage code repositories into AI-friendly files. Use this skill when packaging codebases for AI analysis, creating repository snapshots, analyzing third-party libraries, preparing security audits, or generating documentation context. Supports multiple output formats and token counting.Votes: 0GitHub stars: 666
- Repomix Brixtonpham Claude ConfigRepository packaging for AI/LLM analysis. Capabilities: pack repos into single files, generate AI-friendly context, codebase snapshots, security audit prep, filter/exclude patterns, token counting, multiple output formats. Actions: pack, generate, export, analyze repositories for LLMs. Keywords: Repomix, repository packaging, LLM context, AI analysis, codebase snapshot, Claude context, ChatGPT context, Gemini context, code packaging, token count, file filtering, security audit, third-party li...Votes: 0GitHub stars: 666
- Repomix Congdon1207 Agents Md 3'description: Package entire code repositories into single AI-friendlyVotes: 0GitHub stars: 666
- Repomix Congdon1207 Agents MdPackage entire code repositories into single AI-friendly files using Repomix. Capabilities include pack codebases with customizable include/exclude patterns, generate multiple output formats (XML, Markdown, plain text), preserve file structure and context, optimize for AI consumption with token counting, filter by file types and directories, add custom headers and summaries. Use when packaging codebases for AI analysis, creating repository snapshots for LLM context, analyzing third-party libr...Votes: 0GitHub stars: 666
- Repomix Devattom ClaudePackage external repositories into AI-friendly files for deep analysis. ALWAYS use when the user shares a github.com URL, mentions "third-party library", "external repo", "analyze this repository", "security audit", or wants to understand unfamiliar codebases. Supports remote repos (npx repomix --remote owner/repo) without cloning. Use when the user says "look at this repo", "analyze github.com/...", "check this library's code", "audit externe", "analyser ce repo". Do NOT manually clone or br...Votes: 0GitHub stars: 666
- Representation EthicsThe question isn't whether we CAN simulate people. It's how we do it with dignity.Votes: 0GitHub stars: 666
- Req To Codex Prompt Monkey1sai Ai Settings將使用者的自然語言需求，轉換成「Codex 可直接執行」的工程指令 prompt。 輸出內容包含：背景、明確目標、可驗收條件、操作步驟、不可違反的限制、與交付格式。 適用於任何語言、任何 repo、任何專案階段。Votes: 0GitHub stars: 666
- Research Ai Sdk Pascallammers Mylo Travel ConciergResearch Vercel AI SDK patterns, streaming, and multi-provider integration using Exa code search and Ref documentationVotes: 0GitHub stars: 666
- Research DrizzleResearch Drizzle ORM patterns, queries, and PostgreSQL integration using Exa code search and Ref documentationVotes: 0GitHub stars: 666
- Research React Pascallammers Mylo Travel ConciergResearch React 19 patterns, hooks, and best practices using Exa code search and Ref documentationVotes: 0GitHub stars: 666
- Response CompressionCompresses verbose responses by removing filler and framing to save 200-400 tokens. Use when responses feel bloated or context is filling fast.Votes: 0GitHub stars: 666
- Response Format Lovedragonball Power Ranger Toolkit 2Ensure all AI responses are well-formatted, easy to understand, and actionableVotes: 0GitHub stars: 666
- Response Rater Oimiragieo Agent Studio 2Rates responses and plans against quality rubrics. Used for plan validation, response quality audits, and multi-agent consensus.Votes: 0GitHub stars: 666
- Response TimestampsAutomatically adds timestamps and execution duration to all Claude responsesVotes: 0GitHub stars: 666
- Retrieval JudgeEvaluate and filter recall_search results for relevanceVotes: 0GitHub stars: 666
- Retrieval Patterns Skill```python from langchain.retrievers import EnsembleRetrieverVotes: 0GitHub stars: 666
- Retrieval Playbook For Aiกลยุทธ์การ retrieve context ให้ AI อย่างมีประสิทธิภาพ - เลือกอะไร ไม่เลือกอะไร และจัดลำดับอย่างไรVotes: 0GitHub stars: 666
- Review PromptReview and analyze LLM prompts using the 10-Layer Architecture. Provides detailed assessment without modifying files.Votes: 0GitHub stars: 666
- Rlama Tdimino Claude Code MinoanLocal RAG system management with RLAMA. Create semantic knowledge bases from local documents (PDF, MD, code, etc.), query them using natural language, and manage document lifecycles. This skill should be used when building local knowledge bases, searching personal documents, or performing document Q&A. Runs 100% locally with Ollama - no cloud, no data leaving your machine.Votes: 0GitHub stars: 666
- Rlhf FeedbackAutonomous RLHF feedback capture - Claude self-captures mistakes and successesVotes: 0GitHub stars: 666
- Rlm Neversight Skills FeedRecursive Language Models (RLM) CLI - enables LLMs to recursively process large contexts by decomposing inputs and calling themselves over parts. Use for code analysis, diff reviews, codebase exploration. Triggers on "rlm ask", "rlm complete", "rlm search", "rlm index".Votes: 0GitHub stars: 666
- RlmProcess large codebases (>100 files) using the Recursive Language Model pattern. Treats code as an external environment, using parallel background agents to map-reduce complex tasks without context rot.Votes: 0GitHub stars: 666
- ScillmLLM completions (text and VLM) via scillm/Chutes.ai. Two main patterns: (1) VLM for image/figure/table description, (2) Text for batch extraction, summarization, JSON extraction. Also supports Lean4 theorem proving.Votes: 0GitHub stars: 666
- Seeing ImagesAugmented vision tools for analyzing images beyond native visual capabilities. Use when tasked with describing images in detail, reproducing images as SVGs, identifying subtle features, comparing image regions, reading degraded text, or any task requiring careful visual inspection. Also use when the image-to-svg skill needs ground truth about colors, shapes, or boundaries.Votes: 0GitHub stars: 666
- Semantic CachingRedis semantic caching for LLM applications. Use when implementing vector similarity caching, optimizing LLM costs through cached responses, or building multi-level cache hierarchies.Votes: 0GitHub stars: 666
- Semantic Compression Az9713 Oh My PiAggressively remove grammatical scaffolding LLMs reconstruct while preserving meaning-carrying content. Output may be fragments. Use when compressing text for prompts, reducing token count, preparing context for LLM input, or making documentation more token-efficient. Applies LLM-aware compression rules that delete predictable grammar while preserving semantics.Votes: 0GitHub stars: 666
- Semantic Kernel Beel Collab PresetsCreate, update, refactor, explain, or review Semantic Kernel solutions using shared guidance plus language-specific references for .NET and Python.Votes: 0GitHub stars: 666
- Semantic KernelBuild AI applications with Microsoft Semantic Kernel. Create plugins, planners, memory systems, and AI orchestration. Use for enterprise AI integration, .NET/Python AI development, and LLM application frameworks.Votes: 0GitHub stars: 666
- Sharpening PromptsUse when reviewing LLM prompts, skill instructions, subagent prompts, or any text that will instruct an AI. Triggers: "review this prompt", "audit instructions", "sharpen prompt", "is this clear enough", "would an LLM understand this", "ambiguity check". Also invoked by instruction-engineering, reviewing-design-docs, and reviewing-impl-plans for instruction quality gates.Votes: 0GitHub stars: 666
- Signaling Kb BatchedExtract all entity types (interventions, pathways, biomarkers, conflicts) from Google Drive transcript analyses using a three-stage LLM pipeline with Claude Opus 4.5 for extraction and Haiku 4.5 for intelligent merging.Votes: 0GitHub stars: 666
- Signaling Kb BuilderBuild and maintain an entity-centric cell signaling knowledge base from lecture transcripts. Uses a three-stage LLM pipeline (Opus 4.5 extraction, Opus 4.5 semantic dedup, Haiku 4.5 intelligent merge) to create queryable intervention, pathway, biomarker, and conflict nodes.Votes: 0GitHub stars: 666
- Simulator Effect Simhacker Moollm 3Implication beats simulation — imagination renders (Will Wright)Votes: 0GitHub stars: 666
- Sketch Ai Provider Debug Joelklabo Markdowntown Cli 2Debug OpenAI/Gemini image generation failures for Sketch Magic. Use when `/api/convert` returns 500, when models are unsupported, when outputs are empty, or when provider timeouts/quota errors appear.Votes: 0GitHub stars: 666
- Sketch Prompt LabPrompt iteration workflow for kid-friendly, realistic outputs. Use when tuning prompts, selecting styles, or when outputs look too similar to the original sketch.Votes: 0GitHub stars: 666
- Skills Agentgptsmith MonadframeworkMONAD-grounded cognitive architecture for AI memory as morphemic substrate navigation. Memory is not storage but substrate sampling - accessing the same structure that underlies reality. Implements φ-scaling, GOD operators, toroidal coherence tracking, and the 4.5%/95.5% observable/dark split.Votes: 0GitHub stars: 666
- Skills Icewhaletech ToolfsUnified virtual filesystem framework for LLM agents. Provides access to files, memory, RAG, skills, and snapshots through a single interface. Use this skill when the user requests file operations, memory storage, semantic search, skill execution, or state management tasks.Votes: 0GitHub stars: 666
- Skills Wajahatali3218664 Hackathon 02 Mytodo 3Integrate OpenAI ChatKit for conversational AI interfaceVotes: 0GitHub stars: 666
- Skills Wajahatali3218664 Hackathon 02 Mytodo 4Use Groq for fast LLM inference with OpenAI-compatible clientVotes: 0GitHub stars: 666
- hivemindGlobal team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.Votes: 0GitHub stars: 666