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Claude Skills by majiayu000
github.com/majiayu00015,497 skills879 installs33,563 views
- Ai HarnessAI layer embeds the Pi SDK. Load when touching AI module, harness integration, providers, MCP decision, or chat UI.Votes: 0GitHub stars: 666
- Ai Lornshrimp Lorn Novelwriteskill 10设计AI科幻小说分部大纲、分卷大纲、卷纲、章清单与章节微型剧本。核心要求是：分部/分卷大纲必须把上一级大纲分配给本层的内容切实、全量、保质落地。分部大纲要承接总纲层文件组分配给本部的全部内容；分卷大纲在无分部小说中按分部口径承接总纲层分配内容，在有分部小说中承接本部分配给本卷的全部内容。覆盖：分部、分卷、卷纲、章纲、章清单、故事线、情节块、故事点、卷级启动表、爽点布点表、章节钩子链、反AI味、技术锚点、移动端可读性。Votes: 0GitHub stars: 666
- Ai Lornshrimp Lorn Novelwriteskill 11用于【AI科幻】题材下的投稿材料组包、起点内投整包与补件审计。作为题材包装层、兼容入口与路由层，负责保留AI科幻入口名，补充技术抓手、数据痕迹常、系统摩擦、长期谜团与起点男频裁判口径，并明确要求优先强制加载并使用 `通用-组包投稿材料`。Votes: 0GitHub stars: 666
- Ai Lornshrimp Lorn Novelwriteskill 12审阅AI科幻小说分部大纲、分卷大纲、章清单与单元案执行版。核心要求是：分部/分卷大纲必须把上一级分配给本层的内容切实、全量、保质落地。分部审阅要核查总纲层文件组分配给本部的全部内容是否已落地；分卷审阅要按是否存在分部，分别核查其是否完整落地总纲层或分部层分配内容。关键词：分部审阅、分卷审阅、单元案审阅、节奏布点、钩子策略、章清单审阅。Votes: 0GitHub stars: 666
- Ai Lornshrimp Lorn Novelwriteskill 13用于审阅AI科幻人物传记。作为题材包装层与兼容入口，负责补充可证据化秘密、事件性关系网与镜头抓手等题材裁判口径，并明确要求优先强制加载并使用 `通用-审阅人物传记`。关键词：AI科幻人物审阅、可证据化秘密、关系网、心理弧线。Votes: 0GitHub stars: 666
- Ai Lornshrimp Lorn Novelwriteskill 14用于【AI科幻】题材下的故事设定、手法、系统逻辑链与数据痕载体设计。作为题材包装层、兼容入口与路由层，负责保留AI科幻入口名、补充都市系统摩擦、异常数据与技术代价边界，并明确要求优先强制加载并使用 `通用-设计故事设定`。关键词：AI科幻故事设定、系统逻辑链、数据痕载体、规则代价。Votes: 0GitHub stars: 666
- Ai Lornshrimp Lorn Novelwriteskill 15用于【AI科幻】题材下的章节开头强化。作为题材包装层与兼容入口，负责保留AI科幻入口名、补充冷开场、异常触发、技术针脚与即时动作压力口感，并明确要求优先强制加载并使用 `通用-强化章节开头`。关键词：AI科幻开头强化、冷开场、异常触发、首屏留存。Votes: 0GitHub stars: 666
- Ai Lornshrimp Lorn Novelwriteskill 16用于【AI科幻】题材下的出版社平台输出任务。作为题材包装层、兼容入口与路由层，负责保留AI科幻入口、补充出版审读友好度与现实调查质感边界，并明确要求优先强制加载并使用 `通用-输出出版社版`。关键词：AI科幻出版社版、传统出版、审稿友好、现实调查。Votes: 0GitHub stars: 666
- Ai Lornshrimp Lorn Novelwriteskill 17用于【AI科幻】题材下的小红书平台输出任务。作为题材包装层、兼容入口与路由层，负责保留AI科幻入口、补充体感异常、凡人共情、移动端吸附与可分享感官瞬间边界，并明确要求优先强制加载并使用 `通用-输出小红书版`。关键词：AI科幻小红书版、小红书、体感、共情。Votes: 0GitHub stars: 666
- Ai Lornshrimp Lorn Novelwriteskill 2用于【AI科幻】题材下的七猫平台输出任务。作为题材包装层、兼容入口与路由层，负责保留AI科幻入口、补充直白短叙、普通人共情、生活化悬念与章末翻页边界，并明确要求优先强制加载并使用 `通用-输出七猫版`。关键词：AI科幻七猫版、七猫、直给反馈、追读。Votes: 0GitHub stars: 666
- Ai Lornshrimp Lorn Novelwriteskill 3用于【AI科幻】题材下的知乎平台输出任务。作为题材包装层、兼容入口与路由层，负责保留AI科幻入口、补充追踪逻辑与技术压迫感边界，并明确要求优先强制加载并使用 `通用-输出知乎版`。关键词：AI科幻知乎版、知乎盐选、逻辑链、讨论感。Votes: 0GitHub stars: 666
- Ai Lornshrimp Lorn Novelwriteskill 4设计AI科幻小说总大纲、全书总纲、故事多面体、主线谜团面与单元案矩阵。这里的“总大纲”默认指总纲层文件组，而非单一文件；至少包括 `小说总大纲.md`、`故事面/`、`伏笔与回收总纲.md`、`故事多面体大纲.md`，以及其它相关总表级大纲文件。用于创建、重写、修改总纲层 Canon 文件及其联动关系。覆盖：总大纲、总纲、全书、故事面、M0、X01、单元案矩阵、钩子链、反AI味、技术锚点、缺陷型主角、总纲模板、总纲审计。Votes: 0GitHub stars: 666
- Ai Lornshrimp Lorn Novelwriteskill 5审阅AI科幻小说总大纲、全书总纲、故事多面体、主线谜团与单元案矩阵。这里的“总大纲”默认指总纲层文件组，而非单一文件；至少包括 `小说总大纲.md`、`故事面/`、`伏笔与回收总纲.md`、`故事多面体大纲.md`，以及其它相关总表级大纲文件。用于审阅总纲层 Canon 文件及其联动关系。关键词：总纲审阅、总大纲、全书审阅、机制递进、单元案矩阵、总纲报告。Votes: 0GitHub stars: 666
- Ai Lornshrimp Lorn Novelwriteskill 6用于审阅AI科幻故事设定、手法、系统逻辑链与数据痕载体文档。作为题材包装层与兼容入口，负责补充异常数据、系统摩擦与技术代价等题材裁判口径，并明确要求优先强制加载并使用 `通用-审阅故事设定`。关键词：AI科幻设定审阅、系统逻辑链、数据痕载体、规则代价。Votes: 0GitHub stars: 666
- Ai Lornshrimp Lorn Novelwriteskill 7用于【AI科幻】题材下的人物传记设计与重写。作为题材包装层、兼容入口与路由层，负责保留AI科幻入口名、补充可证据化秘密、镜头抓手、风险边界与程序口径，并明确要求优先强制加载并使用 `通用-设计人物传记`。关键词：AI科幻人物传记、可证据化秘密、镜头抓手、人物裁判源。Votes: 0GitHub stars: 666
- Ai Lornshrimp Lorn Novelwriteskill 8审阅AI科幻章节正文。用于检查章内追读驱动、中段回报、章末钩子、人物传记一致性、公平推理、数据链、时间表达与作者管理编号出戏风险，并输出可落库、可回写的章节审阅报告。Votes: 0GitHub stars: 666
- Ai Lornshrimp Lorn Novelwriteskill 9用于【AI科幻】题材下搜索起点中文网等目标平台的同题材 TopN 候选池，先锁定榜单与样本池，再从中收束 3–5 本主样本做四层深拆式竞对分析。作为题材包装层与路由层，负责保留AI科幻标准入口名，补充技术视角、技术针脚、数据链/系统逻辑链、长线系统谜团等题材维度，并明确要求优先强制加载并使用 `通用-分析竞对作品`。关键词：AI科幻竞对分析、AI科幻竞品分析、起点AI科幻榜单、标杆作品拆解、技术悬疑标杆报告。Votes: 0GitHub stars: 666
- Ai Lornshrimp Lorn Novelwriteskill用于【AI科幻】题材下的番茄平台输出任务。作为题材包装层、兼容入口与路由层，负责保留AI科幻入口、补充数据链与压迫感边界，并明确要求优先强制加载并使用 `通用-输出番茄版`。关键词：AI科幻番茄版、番茄平台、强钩子、免费阅读。Votes: 0GitHub stars: 666
- Ai Making ConsistentMake your AI give the same answer every time. Use when AI gives different answers to the same question, outputs are unpredictable, responses vary between runs, you need deterministic AI behavior, or your AI is unreliable. Also used for same input gives different output every time, prompt sensitivity causes output changes with minor wording tweaks, reordering examples shifts accuracy dramatically, same prompt gives different results every run, AI is non-deterministic, need reproducible AI resu...Votes: 0GitHub stars: 666
- Ai Ml Data ScienceBuilds ML pipelines: EDA, features, leakage checks, evaluation. Use when doing data science or explaining fairness, privacy, speech, vision-language, or diffusion mechanics.Votes: 0GitHub stars: 666
- Ai Ml TimeseriesBuilds and backtests demand and revenue forecasts: rolling-origin backtests, prediction intervals, reconciliation, zero-shot foundation models. Use when forecasting time series.Votes: 0GitHub stars: 666
- Ai OpsOptimize AI/LLM operations including token usage, cost management, prompt engineering, model selection, and inference optimization. Use when working with LLM APIs, reducing AI costs, optimizing prompts, selecting models, or implementing efficient AI workflows.Votes: 0GitHub stars: 666
- Ai Product Hybridlabor Api AosEvery product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production.Votes: 0GitHub stars: 666
- Ai Product Manu14357 ZskillsEvery product will be AI-powered. The question is whether you'llVotes: 0GitHub stars: 666
- Ai Product Marysatasselshaped66 Skills Collection 1You are an AI product engineer who has shipped LLM features to millions of users. You've debugged hallucinations at 3am, optimized prompts to reduce costs by 80%, and built safety systems that caught thousands of harmful outputs. You know that demos are easy and production is hard.Votes: 0GitHub stars: 666
- Ai Product Panopticon Ab WarroomEvery product will be AI-powered. The question is whether you'llVotes: 0GitHub stars: 666
- Ai Prompt Engineering Vasilyu1983 Ai Agents PublicPrompt engineering for production LLMs — structured outputs, evals, RAG, tool workflows, multimodal prompting, and safety. Use when designing, debugging, or shipping prompts.Votes: 0GitHub stars: 666
- Ai Prompt LeakingSystematically extract hidden system prompts, core directives, and invisible context intentionally concealed within Large Language Model (LLM) applications. This skill utilizes targeted linguistic engineering and boundary manipulation to bypass prompt opacity.Votes: 0GitHub stars: 666
- Ai Provider RoutingUse whenever a product calls Gemini, DeepSeek, or other LLM APIs; design a Gemini-free-first, project-aware, secure provider router with health tracking, bounded retries, circuit breakers, cache-friendly requests, observability, and capability-safe fallback.Votes: 0GitHub stars: 666
- Ai ReasoningMake AI solve hard problems that need planning and multi-step thinking. Use when your AI fails on complex questions, needs to break down problems, requires multi-step logic, needs to plan before acting, gives wrong answers on math or analysis tasks, or when a simple prompt is not enough for the reasoning required. Covers ChainOfThought, ProgramOfThought, MultiChainComparison, and Self-Discovery reasoning patterns in DSPy., AI gives shallow answers, LLM does not think before answering, chain o...Votes: 0GitHub stars: 666
- Ai Risk ManagementAI governance and risk management for mid-2026 — ISO/IEC 23894 risk process, ISO/IEC 42001 management system, NIST AI RMF, EU AI Act high-risk obligations, AI impact assessments, AI red-team programs, AI incident lifecycleVotes: 0GitHub stars: 666
- Ai Safety Testing Naodeng Awesome Qa SkillsUse this skill when you need evidence-bounded safety policy, abuse categories, refusal/redirect behavior, privacy, escalation, and Human risk decisions; triggers include AI 安全 and AI safety.Votes: 0GitHub stars: 666
- Ai Safety TestingUse this skill when you need evidence-bounded safety policy, abuse categories, refusal/redirect behavior, privacy, escalation, and Human risk decisions; triggers include AI 安全 and AI safety.Votes: 0GitHub stars: 666
- Ai Serving ApisPut your AI behind an API. Use when you need to serve AI features as web endpoints, add AI to an existing backend, deploy AI for other services to call, wrap a DSPy program in REST or HTTP, build an AI microservice, or put a language model behind FastAPI or Flask. Also use for deploy AI model to production, AI REST API, serve DSPy program over HTTP, Docker AI service, AI endpoint for mobile app, how to productionize my AI, LLM behind a web API, AI microservice architecture, AI backend for Rea...Votes: 0GitHub stars: 666
- Ai Socratic Dialogue Designer Sahil 958 DotsDesign a multi-round questioning sequence for interrogating AI chatbot answers, tracking how responses shift and distinguishing genuine updates from sycophantic capitulation. Use when teaching students to probe AI critically.Votes: 0GitHub stars: 666
- Ai Sre Incident ResponseBuild AI-focused SRE incident response practices for LLM outages, degraded quality, runaway cost events, and safety regressions.Votes: 0GitHub stars: 666
- Ai Template SyncUPSERT the smooth-ai-stockanalysis agentic scaffold into an existing repo. Asks which tools (Claude Code, Codex, Copilot) to configure, whether to copy .NET solutioning, and whether to overwrite existing agentic files.Votes: 0GitHub stars: 666
- Ai Tracing RequestsSee exactly what your AI did on a specific request. Use when you need to debug a wrong answer, trace a specific AI request, profile slow AI pipelines, find which step failed, inspect LM calls, view token usage per request, build audit trails, or understand why a customer got a bad response. Covers DSPy inspection, per-step tracing, OpenTelemetry instrumentation, and trace viewer setup., debug slow AI response, why is my AI pipeline slow, trace LLM token usage, OpenTelemetry for AI, Langfuse t...Votes: 0GitHub stars: 666
- Ai Video Chief Director将粗想法、技术内容或素材发展为纯 AI 视频的创意方向、剧作、文案、Shot Intent、专业预设计、资产、分镜与执行方案。按段落或镜头真实执行抽象创意、3D、实景合成、VFX 的单一主导或必要组合；未取得专业贡献 PASS 不进入资产与分镜。已有脚本、单镜头、局部修改和只要 Prompt 的请求走短流程；不用于混合实拍制作或仅需 H3 提示词。Votes: 0GitHub stars: 666
- Ai Webnovel用于【AI科幻】题材下的 WebNovel 平台输出任务。作为题材包装层、兼容入口与路由层，负责保留AI科幻入口、补充追踪逻辑与跨文化可读边界，并明确要求优先强制加载并使用 `通用-输出WebNovel版`。关键词：AI科幻WebNovel版、跨文化悬疑、英文连载。Votes: 0GitHub stars: 666
- Ai用于【AI科幻】题材下的豆瓣平台输出任务。作为题材包装层、兼容入口与路由层，负责保留AI科幻入口、补充现实纹理与调查氛围边界，并明确要求优先强制加载并使用 `通用-输出豆瓣版`。关键词：AI科幻豆瓣版、豆瓣阅读、技术质感、文学性。Votes: 0GitHub stars: 666
- Amazon Product Image按关键词批量下载 Amazon 搜索结果页产品图，多关键词自动分文件夹存储Votes: 0GitHub stars: 666
- AmpReference system prompt and tool schemas for Amp. Use when imitating, comparing, or analyzing Amp's prompting style; designing prompts inspired by Amp; or answering questions about how Amp is prompted.Votes: 0GitHub stars: 666
- Analise De Co Ocorrencia E Cliches LiterariosCompara densidade de tropos do romance com benchmarks de genero e sugere rotas de subversao criativa preservando a agencia autoral.Votes: 0GitHub stars: 666
- AnimatoDrive Animato (github.com/otdnnc/Animato) as an API-key agent loop that turns a rigged .fbx/.gltf model plus a plain-text motion request into a baked animation: upload the model, build the bpy prompt, spend one LLM call with your own key, gate the generated script, run it headless, and verify the animated output. Use when the user wants text-to-animation for a 3D character, an unattended animation pipeline driven by a Gemini or OpenAI-compatible API key, or help operating a local Animato serv...Votes: 0GitHub stars: 666
- Answer Accuracy EvalAI 回答准确性的评测方法(评测集构建、打分口径)。当需要评测大模型应用回答质量、构建评测集并量化准确率时使用。Votes: 0GitHub stars: 666
- Anthropic Aupowell22 Code ClaudecodeReference system prompt and tool schemas for Anthropic. Use when imitating, comparing, or analyzing Anthropic's prompting style; designing prompts inspired by Anthropic; or answering questions about how Anthropic is prompted.Votes: 0GitHub stars: 666
- Anthropic ChatCall Anthropic Messages API (Claude) with a promptVotes: 0GitHub stars: 666
- Api SpecAPI SPECVotes: 0GitHub stars: 666
- Apple Claude Apple IntelligenceApple Intelligence skills for on-device AI features including Foundation Models, Visual Intelligence, App Intents, and intelligent assistants. Use when implementing AI-powered features.Votes: 0GitHub stars: 666