Documents skills

Creates 5 root documentation files (PROJECT.md, docs/README.md, documentation_standards.md, principles.md, tools_config.md).

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Builds interactive HTML presentation with 6 tabs (Overview, Requirements, Architecture/C4, Tech Spec, Roadmap, Guides). Creates presentation/README.md hub.

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Creates reference documentation structure + smart documents (ADRs/Guides/Manuals) based on TECH_STACK. Only creates justified documents (nontrivial technology choices).

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Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.

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Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.

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Diagnose GitHub bug reports in wordbricks/onequery. Use when given a GitHub issue URL from wordbricks/onequery and asked to decide next steps such as verifying against the repo, requesting more info, or explaining why it is not a bug; follow any additional user-provided instructions.

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Use for critical thinking, or when the user wants a claim, plan or decision checked for weak spots: "is this right?", "what am I missing?", "poke holes", "sanity check", "devil's advocate", "red team this". Skip for execution-only tasks and wording edits.

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把素材 / 提纲 / 要点做成点击驱动的 16:9 HTML 幻灯片（slides / 演示文稿），用于现场放映或投屏 —— 不是视频，没有口播稿 / 音频合成 / 录屏。流程：原始素材 → 产出 outline 开发计划（章节切分 + 每步屏幕内容 + 可选每步演讲备注 + 信息池）→ 用户**一次对齐** 4 件事（outline / 主题 / 素材 / 开发模式）→ 网页开发（逐章 / 顺序 / 并行）。每次点击推进一个逻辑节拍，每一步独占整屏；进度条平时隐藏只在悬浮时出现；**按 P 开独立的演讲者窗口（口播稿 + 实时预览 + 计时器，与主窗口联动；投屏只共享主 slide 窗口即可对观众隐藏口播稿），按 N 是排练用的备注浮层**。内置 24 套主题 token + 反 AI 味设计方法论（内容驱动动画、逐步揭示、电影感留白）。适用场景：技术分享 / keynote / 产品演示 / pitch deck / 教学课件 / **面试项目复盘（project retro）** / 把文章或笔记变成可交互讲解。本 Skill 沉淀的是设计方法论 + 协作流程，不绑定任何特定样式 / 字体 / 颜色，可复用到任意主题与美学。

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Create and operate ChatDOC Studio knowledge bases through pd_router using a Bearer API key and JavaScript helpers. Use when Codex needs to upload one or more PDF/DOC/DOCX files, skip failed files without aborting the whole job, create a knowledge base from successful uploads, or call the ChatDOC Studio knowledge-base skill endpoints through `https://platform.paodingai.com/openapi/chatdoc-studio/...`.

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豆包环境专用的视觉物料生产：PPT / Keynote / HTML deck、公众号封面与正文配图、B站/YouTube 视频封面。存在的全部理由是走豆包内置 image_gen（默认 seedream_5.0_pro 模型），不花第三方图像 API 的钱——不在豆包环境就别用。用户说做PPT、幻灯片、演示文稿、deck、公众号封面、视频封面时触发。

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Write or update dygo instructions, reference documentation, task descriptions, CLI help, metadata examples, or architecture notes. Use when documentation quality and contract accuracy are central to the task.

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Define dygo App Pages and metadata-driven Studio experiences for Business Apps. Use when an App needs a Page, navigation entry, renderer choice, or Studio presentation beyond default Entity routes.

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Write and debug spreadsheet formulas (Excel/Google Sheets), pivot tables, and array formulas; translate between dialects; use when users need working formulas with examples and edge-case checks.

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Systematically document research findings, competitive analysis, market trends, and user insights in Notion. Build searchable research repository for data-driven decisions.

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Grounds every implementation decision in official documentation. Use when you want authoritative, source-cited code free from outdated patterns. Use when building with any framework or library where correctness matters.

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Run fair, transparent raffles and sweepstakes. Randomly select winners from participant lists with verification and documentation for credibility.

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Use when the user mentions Jira issues (e.g., "PROJ-123"), asks about tickets, wants to create/view/update issues, check sprint status, or manage their Jira workflow. Triggers on keywords like "jira", "issue", "ticket", "sprint", "backlog", or issue key patterns.

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Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases. Credits: Original skill by @blader - https://github.com/blader/humanizer

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Create professional Marp presentation slides with 7 beautiful themes (default, minimal, colorful, dark, gradient, tech, business). Use when users request slide creation, presentations, or Marp documents. Supports custom themes, image layouts, and "make it look good" requests with automatic quality improvements.

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Records decisions and documentation. Use when making architectural decisions, changing public APIs, shipping features, or when you need to record context that future engineers and agents will need to understand the codebase.

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Guide for implementing and maintaining context as a managed artifact alongside code, enabling consistent AI interactions and team alignment through structured project documentation.

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Analyze a Slidev deck qualitatively — organ reports (structure, composition) + vision AI on rendered PNGs. Arguments: <deck_id> [--slides 1,5,10]

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Representations for hierarchical skill structures including knowledge graphs and ontological decomposition

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Expert in visualizing and explaining braid theory, knot mathematics, and topological concepts for educational purposes. Use for creating interactive visualizations, explainer cards, step-wise animations, and translating abstract algebra into intuitive understanding. Activate on keywords: braid theory, knot visualization, σ notation, crossing diagrams, Yang-Baxter, topological education. NOT for general math tutoring, pure knot invariant computation, or non-educational knot theory research.

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