Documents Skills

> through final memo — privileged investigation log, document processing with needle-finding, source coverage tracking, Q&A against the log, memo drafting, and audience summaries. Loaded by /investigation-open, /investigation-add, /investigation-query, /investigation-memo, and /investigation-summary; not invoked directly.

> Add data to an open investigation — documents, interview notes, or observations. Processes batches against the documented pull criteria, surfaces significant items, and logs everything reviewed for coverage verification. Use when new evidence, interview notes, or document productions come in for an open investigation.

> Routine client correspondence from templates — appointment confirmations, document requests, brief "we filed it" updates. Plain language, required elements, supervision routing. NOT substantive advice. Use when a student needs to send routine correspondence, an appointment confirmation, a document request letter, or a brief status note to a client.

> First draft of a common clinic document — practice-area templates (asylum applications, eviction answers, protective order petitions, demand letters), jurisdiction-aware formatting, explicitly a starting point requiring student analysis and attorney review. Use when a student needs a first draft of a motion, letter, petition, declaration, or other clinic document.

> the draft skill, which handles practice-area document generation including form population. Kept as a redirect for migration.

Build or update a chronology from declared document sources and uploads — dated events extracted, de-duped, and tagged by significance per the matter theory. Use when the user asks to build a chronology or timeline from a production or matter file, says "chron from the production" or "what happened when", or needs a working, statement-of-facts, or witness-specific timeline.

Draft a demand letter from a completed intake, gated on a privilege / FRE 408 / waiver / admission checklist, with a .docx output, post-send checklist, and an offer to create a matter. Use when the user says "draft the demand", "write the [type] letter", or has a finished demand intake ready to turn into a sendable draft.

Issue, refresh, release, or report on legal holds — drafts the hold notice as .docx, updates legal_hold fields in _log.yaml, and calendars the next refresh. Use when the user says "issue a hold", "refresh hold", "release hold", or asks for a portfolio-wide hold status report.

Build a deposition outline for a witness — pull their documents from the eDiscovery platform, organize topics around the case theory, and surface impeachment material. Use when the user says "depo prep for [witness]", "build a depo outline", or "prepare for [name]'s deposition".

Triage a subpoena served on the company — classify it, analyze scope/burden/privilege, cross-check the portfolio, and produce an objections framework, compliance plan, and deadline calendar. Use when the user says "we got a subpoena", "served with a subpoena", or shares a subpoena, CID, or third-party document request to evaluate.

Produce a proposed marked-up policy redraft that closes a gap found by /regulatory-legal:gaps or /regulatory-legal:policy-diff. A first draft for internal review — not for direct application to approved policy documents. Use when the user says "redraft the policy", "draft the policy fix", "mark up the policy", or when gap-surfacer hands off a gap for drafting.

Structured scratch tracking document for investigation state during bug hunts - prevents re-reading code, losing context, and rabbit holes; maintains external memory so you don't re-derive conclusions

Load when working with the module registry in workerd — reading, modifying, debugging, or reviewing module resolution, compilation, evaluation, or registration code. Provides pointers to three reference documents covering the legacy registry, V8 module internals, and the new registry design.

Render Markdown, HTML, or PDF paid-advertising reports from a validated Claude Ads JSON run bundle. Use for ads report, client report, audit PDF, executive audience reporting, or exporting prior audit and plan results.

Interprets Culture Index (CI) surveys, behavioral profiles, and personality assessment data. Supports individual profile interpretation, team composition analysis (gas/brake/glue), burnout detection, profile comparison, hiring profiles, manager coaching, interview transcript analysis for trait prediction, candidate debrief, onboarding planning, and conflict mediation. Accepts extracted JSON or PDF input via OpenCV extraction script.

Read an industry's structure through Porter's Five Forces with documented signals per rating, ending at the profit pool. Use when weighing market entry or when margins erode and nobody can say why.

Build a structured PRD that connects problem, users, solution, and success criteria. Use when turning discovery notes into an engineering-ready document for a major initiative.

Prepare and publish DeepChat releases in this repository. Use when Codex needs to bump the app version, update CHANGELOG.md, keep release notes bilingual from v1.0.1 onward with English bullets first and Chinese bullets second, run release checks, create or update versioned release branches such as release/v1.0.1, continue a half-finished release, fast-forward main with the documented release flow, create or push version tags, or clean up release branches after publishing.

Use the Feishu/Lark plugin MCP tools for Feishu documents, spreadsheets, knowledge content, and other matching workspace operations.

Create and test a classify-and-route Azure AI Content Understanding pipeline for packets that contain multiple document types (e.g. invoice + bank statement + loan application in one PDF). Walks per-type schema authoring → outer classifier wiring → batch test → category-aware stdout summary using the typed ContentUnderstandingClient. Use when the user has mixed-document packets.

Iteratively author and test a custom Azure AI Content Understanding analyzer for a folder of **document** files (PDFs, page images) of a single type. Walks layout extraction → schema authoring → validation → batch test → agent review → refine cycle using the typed ContentUnderstandingClient. Document modality only — audio, video, and image analyzers are planned for a later update. Use when the user wants to author a custom analyzer for invoices, contracts, forms, or any other single-type document set.

Lay out and export data-rich reports and documents. Use when the user needs report structure, figure packaging, PDFs, PowerPoint or Google Slides automation, or programmatic insertion of visualizations, UML-like diagrams, or architecture diagrams into documents.

> Document Quality Check skill for Datasite deal rooms. Use this skill whenever a deal team wants to audit document quality before going live to buyers. Triggers files", "check for blank documents", "PII check", "redaction review", "find corrupted files", "document audit", "quality check the data room", "are there any blank or broken files", "check for unredacted personal data", or any request to verify that documents in the data room are complete, accessible, and safe to share. Use this skill proactively before a data room goes live. Do not use for renaming files (use smart-file-renaming) or for identifying missing sections (use gap-analysis).

> Data Room Gap Analysis skill for Datasite deal rooms. Use this skill whenever a sell-side deal team wants to audit what is missing, sparse, or incomplete in their "what's missing from the data room", "check the data room coverage", "flag empty folders", "what haven't we uploaded yet", "data room readiness check", "find gaps before we go live", "are all the contracts in there", "check we have everything", or any request to assess completeness of the data room by section. Use this skill proactively whenever a deal team is preparing to launch a data room and wants to know what still needs to be uploaded or organised. Do not use for document quality issues such as PII or redaction (use document-quality-check), or for drafting Q&A responses (use bulk-qa-answers).

> Information Request List (IRL) Tracker skill for Datasite deal rooms. Use this skill whenever a deal team wants to compare VDR content against a buyer's information request list, track document delivery status, or build a due diligence "check the information request list", "information gathering list", "IGL", "what have we delivered", "DD tracker", "due diligence tracker", "compare VDR against the request list", "what's still outstanding", "build a diligence dashboard", or any request to track document delivery against buyer requests. Use proactively whenever a buyer has submitted a request list and the deal team needs to manage and track responses. Do not use for overall data room structural gap analysis — use gap-analysis for that.

> Launch Readiness Orchestrator skill for Datasite deal rooms. Use this skill whenever a deal team wants a single pre-go-live readiness check across their data room — combining gap analysis, document quality audit, and risk review ready to go live", "launch readiness check", "pre-launch audit", "data room readiness", "can we launch", "is the data room ready", "run a full readiness check", "go-live checklist", "pre-launch checklist", or any request to get a single overall assessment before opening the data room to buyers. Use proactively whenever a deal team is approaching their go-live date and wants a structured sign-off view. Do not use other individual audit skills (gap-analysis, document-quality-check, risk-analysis-audit) when this skill is active — this skill orchestrates all three in one pass.

> Risk Analysis Audit skill for Datasite deal rooms. Use this skill whenever a sell-side deal team wants to audit, review, or flag risks across a data room before going live. "what are the risks in this deal", "audit the data room", "risk analysis", "flag issues before we go live", "what should we fix before launch", or any request to analyse deal risk by workstream (Tax, Finance, Legal, HR, IP, Commercial, Regulatory, ESG). Use this skill proactively whenever the user is preparing a data room for launch and wants a structured view of what might concern a buyer. Do not use for document quality issues like PII or redaction (use document-quality-check), or for identifying missing sections (use gap-analysis).

> Smart File Renaming skill for Datasite deal rooms. Use this skill whenever a deal team wants to standardise document names, clean up scanned file names, normalise naming across similar document types, or improve the professionalism of the data names", "standardise naming", "the file names are a mess", "fix the document names", "rename scanned documents", "make the naming consistent", "tidy up the data room", or any request to improve, clean, or normalise document naming across a Datasite project. Never apply any rename without explicit user confirmation. Do not use for document quality or PII checks — use document-quality-check for that. Never rename files without explicit user confirmation.

> VDR Index Setup skill for Datasite deal rooms. Use this skill whenever a user wants to create, propose, design, or set up a Virtual Data Room (VDR) index VDR index", "build a deal room structure", "prepare the index", "set up the fileroom", "I need a data room for [deal/company]", or any request to organise or structure documents for due diligence. Also triggers when a user wants to replicate an existing deal room structure or import an index from a spreadsheet or reference deal. This skill MUST be used whenever the user is starting a new deal room or wants to customise the folder hierarchy before documents are uploaded. Do not use to audit or review an existing data room — use gap-analysis, document-quality-check, or risk-analysis-audit for that.

Connector-first Google Docs creation and editing in local Codex plugin sessions, with direct native create and batchUpdate workflows for simple docs, DOCX-first import for polished deliverables, target-document checks, smart chip and building-block reconstruction, connector-readback verification, and reference routing for formatting, citations, tables, and write-safety.

Submit compact eQTL Catalogue API requests for association retrieval and documented metadata endpoints. Use when a user wants concise public eQTL Catalogue summaries

发布内容和文章到 X (Twitter)。支持常规推文(文字/图片/视频)和 X Articles(长文 Markdown)。使用真实 Chrome 浏览器绕过反机器人检测。当用户说"发推"、"发到 X"、"发到 twitter"、"分享到 X"、"分享到 twitter"、"发 tweet"、"同步到 X"、"发布到 X"、提到"X Articles"、想从 Obsidian 笔记发布长文内容、或需要转换 Obsidian Markdown 到 X 格式时使用。适用于所有 X/Twitter 发布任务。

Search the ExecuTorch tribal knowledge base covering QNN, XNNPACK, Vulkan, CoreML, Arm, and Cadence backends, quantization recipes, export pitfalls, runtime errors, and SoC compatibility. Use when debugging ExecuTorch errors, choosing quantization configs, checking backend op support, or answering questions about Qualcomm HTP / Snapdragon / Apple Neural Engine behavior.

Word / PDF / PPT 文档解析与数据分析引擎。覆盖三类文件格式的全量提取、表格数值化、图表理解与跨文档汇总分析。**遇到以下任一情况就主动使用本 skill**：①用户上传或指定了 .docx / .doc / .pdf / .pptx / .ppt 文件并要求分析、提取或统计其中内容；②用户出现触发词：Word分析 / PDF解析 / PPT提取 / 文档分析 / 报告解析 / 幻灯片分析 / 发票提取 / 合同分析 / 文档统计 / 错别字 / 语病 / 字号检查 / 简历分析 / 多文档对比；③任务涉及从文档中提取表格、数值、图表、格式（颜色/高亮/字号）、组织架构、时间线等结构化信息。仅不用于：Excel/CSV 数据分析（使用 sn-da-excel-workflow）、纯图片分析（使用 sn-da-image-caption）。

PDF 文档解析。自动区分文字型 PDF 与扫描型 PDF，覆盖：文本/表格提取、多页全量扫描、嵌入图表 caption、单位感知数值计算。

PPT (.pptx/.ppt) 全量解析。覆盖：所有 slide 文本/表格/图表提取、嵌入图片 caption、纯图片 slide 渲染识别、数据标签提取。

Word (.docx/.doc) 文档全量解析。覆盖：正文/段落文本提取、表格数据提取、高亮/颜色格式读取、多文件汇总对比、嵌入图片转 caption。

将 Markdown 报告、研究笔记、行业分析、战略备忘录、技术白皮书、复盘、周报等长文档，重组并创作为有编辑判断、网页美感和证据秩序的自包含 HTML 专题页。用户要求“转成 HTML”“网页化报告”“美化报告”“做成专题页”“便于分享”“提升可读性/设计感”“把报告做成网页”时使用。必须先写 plan.md 再写 HTML，保留原文事实断言和结论强度，不套模板，不做机械 Markdown 转换。

| Entry point for PPT generation. Asks the user to choose a mode (fast, standard, or creative), then collects role / audience / scene / page_count as needed. For standard mode, also asks how images should be sourced (AI generation, web search, or none), whether charts should use AI-generated infographics or ECharts, and whether the final deliverable should be PPTX or PDF. Parses uploaded pdf/docx/md/txt files, produces task_pack.json + info_pack.json in a new deck_dir, then dispatches to sn-ppt-creative or sn-ppt-standard. Fast mode skips optional questions and gets straight to building. Use when the user asks to make a PPT / presentation / 演示 / PPT. If the user asks to open, preview, inspect, or edit previously generated HTML slides in the WebUI/workbench without regenerating, dispatch to sn-ppt-workbench instead of this generation entry.

| Standard and fast PPT pipeline. All LLM / VLM / T2I calls are wrapped in a emit ONE shell command per stage, never write loops, never write prompts. Standard mode plans thoroughly with a three-sample deck preview checkpoint (three concatenated deck images plus a preview URL), web research, image search, and user-selected final output format (PPTX or PDF) for polished, delivery-ready presentations. Fast mode builds a complete draft immediately with autonomous decisions, then provides structured refinement suggestions so the user can iterate quickly. Supports AI-generated infographics (U1) for diagrams and flowcharts, web image search (Serper) for real photos, and ECharts for data charts.

Formats plain text or markdown files with frontmatter, titles, summaries, headings, bold, lists, and code blocks. Use when user asks to "format markdown", "beautify article", "add formatting", or improve article layout. Outputs to {filename}-formatted.md.

将法条/规范文件（.txt/.docx/.pdf）转为 Markdown。适用于用户要求“法条转 markdown”“pdf/docx 转 markdown”。处理 .pdf/.docx 时先检查是否已安装 mineru-ocr skill；未安装先引导安装，安装后优先用 mineru-ocr；仅在用户明确同意时再用本地回退方案。

Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.

根据arXiv论文网址自动下载PDF并进行多维度分析，包括文本提取、词频分析、语音播报、播客对话生成、交互式网页、PPT、总结图和引用分析

基于七角色协作的智能 PPT 生成与优化工具。支持主题生成、模板推荐、内容填充、AI 智能配图、文本润色和 PPTX 文件生成。适用于学术汇报、商业演示、培训课件、产品发布等多种场景。

将 JSON 格式的 PPT 内容转换为标准的 .pptx 文件。使用 python-pptx 库，支持多种布局、图表、表格和样式。与 ppt-generator Skill 完全协同，可作为独立使用或与其他 PPT Skill 配合。

Publish Markdown articles to X (Twitter) Articles editor with proper formatting. Use when user wants to publish a Markdown file/URL to X Articles, or mentions "publish to X", "post article to Twitter", "X article", or wants help with X Premium article publishing. Handles cover image upload and converts Markdown to rich text automatically.

Publish Markdown articles to X (Twitter) Articles editor with proper formatting. Use when user wants to publish a Markdown file/URL to X Articles, or mentions "publish to X", "post article to Twitter", "X article", or wants help with X Premium article publishing. Handles cover image upload and converts Markdown to rich text automatically.