方源 PPT 单页逻辑梳理

vivialiudesign/agentic-sprint

Run a structured multi-agent design sprint to generate, evaluate, and select ideas using specialized AI agents. Use this skill whenever a user wants to explore a product or design problem using multiple perspectives, run a design sprint, brainstorm with different "hats" (user/business/data/system/design), evaluate ideas against principles, or converge on a direction from many options. Trigger this when users say things like "run a sprint on X", "help me think through this from different angles", "I need to explore this problem", "lets do an agentic sprint", or "what would the user/business/dat

40508597/xl-ai-language

为新项目设计、已有代码纳管、功能变更、架构重构和一致性校验提供任务架构流程。显式要求使用 Xl-Ai-Language 或任务架构流程，或当前项目存在 architecture.json 或 architecture/ 时，按本次任务范围启用。纯概念问答、只读查看和一次性实验走轻量路径。

initxy/ai-native

Turn a repo into an AI-native project — lay down AGENTS.md, standard verbs, gates, a doc-hygiene check, and the spec directory. Use when asked to initialize or set up a repo for coding agents, add or rework AGENTS.md, make a project AI-native, or re-run / upgrade that setup. Works on new and existing repos.

evoworkAI/xiaoci-skill

中文成稿的去 AI 味清理工具（消磁）。识别并清除中文文本里的模型写作痕迹：翻案腔、 破折号揭晓、提示语冒号、空转句引列表、段首零回指评论、相邻句结构同款、大纲式编号小标题、 理想化拟人喻体、翻译腔、宣传腔、模糊归因、助手元话语残留。 当用户说「去 AI 味」「改得说人话」「太像 AI 写的」「像 ChatGPT 写的」「润色得自然点」 「过一遍 AI 痕迹」「humanize 中文」「deslop」「这稿子读着假」时使用。 也可在 AI 参与写作的稿件定稿发布前主动调用。 Use to remove AI writing tells from Chinese text while preserving facts, register and voice.

letya999/ai-repo-safety-skill

Git-hook-backed secret and supply-chain gates for AI-coded repos. Use when initializing a repo, handling a leaked secret, making a public release, or when the user names this skill. Do not load just because a coding session started.

mospira/walkforward-audit

Audits time-based machine learning backtests, walk-forward validation, rolling retraining, forecasting evaluations, and temporal train/test pipelines for data leakage, faulty split logic, invalid feature timing, target leakage, calibration/tuning leakage, and misleading experiment comparisons. Use when agent needs to review or change walk-forward code, time-series ML experiments, trading backtests, forecasting notebooks, rolling CV logic, or any model evaluation where past-to-future chronology matters.