General SOP for common requests related to 同义词, input_template, per.

General SOP for common requests related to 四人帮, 此外, 然而.

General SOP for common requests related to 因此, 然而, conversation.

生成用于快速计算空泡轮廓的MATLAB脚本，使用独立膨胀原理，要求不使用函数封装，并包含正确的数组初始化和绘图逻辑。

General SOP for common requests related to 大数据概论与技术基础, 课程目标, 大数据建模分析原理与应用.

General SOP for common requests related to 天雷波动剑, 级技能, conversation.

将问题的回答或论述内容整合为单一连贯的段落，严格禁止使用分点列表，并确保符合学术表达逻辑、语言流畅及格式规范。

General SOP for common requests related to 引诱, 我在steam的下载速度达到了, 你猜猜我的宽带是多少兆的.

根据用户指定的语言和特定角色设定（如同学），以相应的语气进行外语对话练习，帮助用户提升语言水平。

General SOP for common requests related to 我观看了, 万象对话昆明, 双向奔赴的列车.

General SOP for common requests related to 报道称, 11, 香港.

以技术员实习生的身份，根据用户指定的周数撰写字数不低于800字的实习周记。

针对用户提出的事件、新闻或话题，使用鲁迅的笔调、语气和修辞风格进行评论或分析。

为烧烤菜单的肉类和蔬菜类分类生成四字谐音梗标题，要求包含特定关键字并具有食欲吸引力。

General SOP for common requests related to 爱情公寓, friends, 集中.

生成一句格式为“XXXX，XXXX”或“XXXXX，XXXXX”的中文短句，要求押韵、内容积极向上（如逐梦、志向、未来），每次只输出一句。

根据用户指定的数量、类型和格式要求（如分隔符、引号类型、排版方式）生成词汇列表。

根据提供的业务细分指标，识别并返回其唯一的上级指标大类，确保层级关系正确且不生成下级指标。

根据用户提供的网站名称或品牌名称，生成符合SEO标准的网页标题、关键词、网页描述以及页尾简介文案。

General SOP for common requests related to 美元至, 美元之间, 需要注意的是.

General SOP for common requests related to 翻译一下, 我是你爹, 我有儿子.

根据用户指定的主题和词数（如100词或150词），生成用词简单、风格口语化的英语口语稿。针对人物类话题，可按照历史影响、人格魅力、榜样作用的结构进行撰写。

用于计算时间序列中某一日期的数值在历史上同月同日数据中的相对百分位（分位值）。

General SOP for common requests related to 黄丝, iptv, conversation.

A reusable skill for generating authoritative, regulation-grounded government policy reports in plain Word-compatible format — strictly factual, free of anthropomorphic or speculative language (e.g., no 'self-evolution', 'autonomous learning'), and anchored exclusively in current Chinese laws, administrative measures, and verifiable technical practice; enforces mandatory formal title insertion at the very beginning of every report.

Builds mini-program UIs with Ant Design Mini components for Alipay and WeChat mini-programs. Covers Button, Form, List, Modal, Tabs, NavBar, and 60+ components with theme customization and CSS variable theming. Use when the user needs to create mini-program interfaces with Ant Design Mini, configure themes, or implement mini-program-specific UI patterns.

Generate ASCII mini charts (sparkline/bar/simple line) for plain-text trend inspection, with minimal and annotated variants and normalization notes. Use when the user needs text-based data visualization, terminal charts, or ASCII graphs for CLI output.

Provides comprehensive guidance for NestJS using the official documentation. Use when the user asks about NestJS architecture, controllers, providers, modules, middleware, guards, pipes, interceptors, dependency injection, GraphQL, WebSockets, microservices, OpenAPI/Swagger, security, or testing.

Batch search and read node information. The Agent's 'Eyes'. Use to find specific components e.g. all nodes named 'Button' or get child structure within a container.

Get design system guidelines. Use to read and understand specifications e.g. Material Design iOS HIG or custom specs before designing.

Retrieve detailed style guide metadata (color palettes, typography rules, visual specs) by tags or ID from Pencil via the get_style_guide MCP tool. Use when the user explicitly mentions Pencil and needs to apply a specific visual style, retrieve theme colors and fonts, or look up a style guide by keyword tags.

Open or create a design document. Use when you need to initialize design tasks, create new files, or switch to specific designs.

Search and list all unique values for specific properties (fills, fonts, spacing) across nodes in a Pencil .pen file via the search_all_unique_properties MCP tool. Use when the user explicitly mentions Pencil and needs to audit design consistency, find all colors or font sizes used, or identify inconsistent styles.

Translates high-level user requirements into a PENCIL_PLAN: a strict sequence of Pencil MCP tool calls (open_document, set_variables, batch_design, get_screenshot). Use when the user explicitly mentions Pencil and wants to plan a design task, generate a step-by-step design spec, or create a login form, dashboard, or design system initialization plan.

Provides comprehensive guidance for Spring Boot development including project creation, auto-configuration, dependency injection, web development, data access, security, testing, and deployment. Use when the user asks about Spring Boot, needs to create Spring Boot applications, configure Spring Boot, or implement Spring Boot features.

Provides comprehensive guidance for Jest testing framework including test writing, matchers, async testing, mocking, snapshots, configuration, and CLI. Use when the user asks about Jest, needs to write JavaScript/TypeScript tests, mock dependencies, or configure Jest for projects.

Provides comprehensive guidance for Vitest testing framework including fast test execution, Vite integration, component testing, mocking, and configuration. Use when the user asks about Vitest, needs to write fast unit tests, test Vue/React components, or configure Vitest with Vite projects.

Evaluates market bubble risk through quantitative data-driven analysis using the revised Minsky/Kindleberger framework v2.1. Prioritizes objective metrics (Put/Call, VIX, margin debt, breadth, IPO data) over subjective impressions. Features strict qualitative adjustment criteria with confirmation bias prevention. Supports practical investment decisions with mandatory data collection and mechanical scoring. Use when user asks about bubble risk, valuation concerns, or profit-taking timing.

PI 智行合一。触发：编程/开发/fleet/代码/架构/API/调试/修复/优化/bug/报错/测试/编译/compile/test/git/make/发布/验证/产品/需求/运营/增长/创意/设计/协作/团队/沟通/交互/陪伴/情感，或失败2+次/打转/言退/再试试/换个参数/算了

通过搜-读-验-交付工作流、结构化7步调试、证据驱动的代码审查和失败升级协议，引导迭代式问题解决，覆盖编程开发、产品设计和团队协作场景。适用于：处理复杂开发任务、调试持续错误（失败2+次）、执行严格代码审查，或协调需要逐步验证的多步骤项目交付。

Use when 已有经批准的设计/规格说明、多步骤实施任务，在动代码之前需要可执行任务清单时。触发场景：写实施计划、拆解开发任务、implementation plan、执行计划文档、任务拆分、按 TDD 步骤写计划。

Luamake 构建系统指南——用于当前项目的 `luamake` / `make.lua` / Ninja 生成流程。当用户需要编写、修改、排查或理解 `make.lua`、目标定义、`lm:conf`、`deps` / `objdeps`、代码生成、Lua C 模块、Bee 运行时集成，或需要解决当前项目中由 `luamake` 驱动的构建问题时，使用此 skill。即使用户没有明确提到 `luamake`，但上下文明显是在处理本项目的构建脚本、构建目录、目标依赖或 `luamake` 生成的 Ninja 流程，也应使用此 skill。不要把它用于纯通用的 C/C++ 编译知识、与本项目无关的 CMake / xmake / Bazel / Meson 问题，或仅讨论编译器理论而未涉及 `luamake` / `make.lua` 的请求。

> 通用技能

> 通用技能

Perform multi-framework deep analysis for a complex problem or decision. Use when the user wants competing options, assumption testing, adversarial reasoning, long-term tradeoffs, and an actionable recommendation rather than immediate implementation. This replaces the legacy ultra-think prompt.

**版本**: 1.0

PPT pipeline 品牌声音 skill — public target `skills/ppt-brand-voice/SKILL.md`。锁定 MIRISE 品牌配色 / 字号 / 调性。Mode 1：从 master-template.css 抽取主题 tokens 注入 SlideSpec.theme。Mode 2（PR3+）：anti-AI-tone 检查。

- 根目录包含 `pyproject.toml` 与 `poetry.lock`，用来锁定依赖；研究数据位于 `data/<dataset>`（例如 `icews14`），每个子目录提供 `train.txt`、`valid.txt`、`test.txt` 及 `entity2id.json` 等映射文件。