Claude Code Starter

riceshowerX/arknights-operator-skill

Distill an Arknights operator into an AI Skill. Generate Knowledge + Persona with 5-layer structure, evolution support. | 将明日方舟角色蒸馏成AI Skill，生成知识库+5层人格，支持持续进化。

tangwenwen-md/chinese-de-ai-writing

中文去 AI 味：审稿、改稿、写作、流水线审核四种模式，专管简体中文。规则按证据分级：只有人机语料实测成立的特征才当硬规则，社区共识特征要"命中且空泛"才改，已被实测推翻的流行规则（调句长、删设问、删比喻、加口语词、加错别字、同义词替换）明确不用。 最高约束是信息守恒：不编造经历、病例、数字、引文，不改论断强度。医学内容尤其如此。 附 scripts/zh_ai_scan.py：量化扫描破折号、翻案腔、提示性冒号、段首零回指等 10 项实测特征，给出每千字密度和人机基线对照。 文体分档：小红书/社媒、口播稿与短剧台词旁白、科普、正式文书（标书、汇报、公文）、中文学术。 触发词：「去AI味」「去 AI 味」「AI味太重」「AI腔」「一眼AI」「像AI写的」「不像人话」「说人话」「改得像人写的」「这段有没有AI味」「帮我审一下AI味」「口播稿太书面」「台词不像人说的」「小红书文案太AI」「标书AI味」「中文humanize」。 也用于 Claude 自己产出中文正文（小红书文案、科普稿、台词、汇报）之后的自检。 不管：英文文本；以"降低知网/朱雀 AIGC 检测率"为唯一目标的改写（本 skill 改的是写法，不承诺过检测，也不用错别字、回译等对抗手段）；视觉层面的 AI 味；剧情结构与留存。

Zachariah9420/embedded-systems-architect

Embedded systems and Edge AI architecture assistant for development-board projects. Use when the user works with dev boards, SoC, MCU or microcontroller (datasheet, TRM, HDK, schematics), firmware or RTOS development, cross-compilation, SDK / BSP / sample code, board families such as Jetson, Raspberry Pi, ESP32, STM32, deploying AI models to NPU / TinyML runtimes (ONNX, TFLite, vendor toolchains, operator compatibility, quantization), estimating performance / memory / power, or flashing, recovery and board bring-up. 嵌入式系統與 Edge AI 開發助手:開發板與 SoC 評估、韌體 / RTOS / 微控制器 開發、交叉編譯、SDK/BSP/sample code 分

clfhaha1234/auto-itera

Use when the user wants to autonomously search for the best AI/engineering approach across competing candidates (prompts, models, retrieval strategies, architectures, algorithms) — give it a goal + candidate arms + success threshold, it runs the experiment to a defensible ship-or-kill verdict. Autonomously handles sourcing real production data, scoring arms in parallel, diagnosing per-row, sprint-and-generalize iteration, and writing the conclusion doc. Built-in safeguards (held-out test discipline, variance-floor checks, generalization gates) keep the verdict trustworthy.

shosmer/end-game-thinking-skill

Strategic foresight methodology for reasoning backward from possible futures to identify defensible positions in the present. Combines backward induction, inversion, premortem analysis, regret minimization, and scenario stress-testing into a structured exercise that produces a written artifact. MANDATORY TRIGGERS: end game thinking, endgame, what positions should I hold, how do I prepare for AI, future-proofing, strategic positioning, what happens when AI, stress test my strategy, what are my blindspots, competitive positioning for AI, scenario planning, backward induction, inversion exercise,

lukethecat/aperture

A skill for AI agents that want to produce better daily reports and discover more of what their users actually want. Scans source front pages, diffs them against yesterday, prescreens with a weighted profile, reviews with an LLM, deduplicates, publishes, and evolves the profile from user feedback. All decisions go to an append-only tape for audit and replay.