Docs & Writing

aifinlab Skill

用于Word文档解析的Word解析原子 skill，适用于通用行业文档解析场景。

aifinlab Bundle

用于信托领域财富与家族信托中的保险金信托匹配助手场景。支持结构化输入处理、规则分析与Markdown结果输出。

aifinlab Bundle

研报标题与摘要助手。专注于研报标题和摘要撰写，输出有吸引力的标题、简洁清晰的摘要，帮助提升研报阅读率。 **触发场景**： - 用户需要写研报标题和摘要 - 用户说"起个标题"、"写摘要"、"标题优化" - 需要有吸引力的标题、简洁的摘要 - 需要符合合规要求、避免夸大 **关键词**："标题"、"摘要"、"title"、"abstract"、"优化"、"研报标题"

aifinlab Skill

当用户需要解析、分析或理解体检报告时使用此 skill。适用于异常指标解读、疾病风险评估、核保影响分析、复查建议等场景。

aifinlab Bundle

当用户需要判断保险理赔案件中的重大疾病场景是否可能落入保险责任范围、分析某个重大疾病是否达到赔付定义、结合保单和条款判断重疾责任是否可能触发、识别等待期既往症除外责任定义边界争议或评估材料是否足以支持重疾责任判断时使用本 skill。适用于分析理赔系统案件记录、报案信息、门诊或住院病历、诊断证明、病理报告、影像检查报告、实验室检查报告、手术记录、出院小结、会诊意见、基因检测结果、专科医生说明、客服或审核备注、OCR 文本、PDF 文档和截图转写内容，并结合产品责任、重疾定义、等待期、责任免除、轻症中症重疾边界、多次赔付限制和疾病状态要求形成结构化初步判断。

aifinlab Bundle

面向基金合规与信息披露领域的披露检查任务Skill，围绕「披露完整性检查助手-定期报告版」场景提供信息抽取、结构化分析与结果输出。

charlieviettq Skill

Answer data questions -- from quick lookups to full analyses. Use when looking up a single metric, investigating what's driving a trend or drop, comparing segments over time, or preparing a formal data report for stakeholders.

aifinlab Bundle

研报初稿助手 - 助理研究员版。专为助理研究员/实习生设计，提供结构化研报框架、数据填充指引、基础分析模板，帮助快速完成研报初稿。 **触发场景**： - 用户是助理研究员/实习生，需要写研报初稿 - 用户说"帮我搭个框架"、"写个初稿"、"研报模板" - 需要结构化模板、数据填充指引 - 需要基础分析逻辑、常用表述 **关键词**："助理"、"实习生"、"初稿"、"框架"、"模板"、"研报草稿"、"新手"、"入门"

aifinlab Bundle

研报初稿助手 - 销售支持版。专为销售团队设计，输出通俗易懂、结论清晰、便于转述的研报摘要，支持客户沟通、路演材料、朋友圈转发。 **触发场景**： - 用户是销售/客户经理，需要研报支持材料 - 用户说"销售版"、"客户沟通"、"路演材料"、"朋友圈" - 需要通俗易懂、结论清晰 - 需要便于转述、适合口头表达 **关键词**："销售"、"客户经理"、"路演"、"客户沟通"、"朋友圈"、"通俗"、"转述"

charlieviettq Bundle

Calculate and diagnose Overall Equipment Effectiveness (OEE) by decomposing into Availability, Performance, and Quality rates. Use this skill when the user needs to measure production line efficiency, identify equipment losses, benchmark manufacturing performance, or justify capital investment — even if they say 'why is our output low', 'machine utilization report', 'production efficiency', or 'how much capacity are we losing'.

charlieviettq Bundle

Use when writing an international news piece — foreign affairs, diplomatic coverage, cross-border conflict, UN/multilateral updates, development news, or geopolitical analysis. Activates international-beat workflow: primary-source verification for distant claims, translation accuracy, conflict-side balance, regional context, source-chain auditing. Triggers on phrases like 'write this UN report', '寫一篇國際新聞', 'international story', 'draft conflict analysis', '整理聯合國決議', 'foreign affairs coverage'. Do NOT use for domestic political stories (use med-political), company press releases (use pr-press-release), or international business news (use med-business).

charlieviettq Bundle

Apply Cognitive Load Theory to optimize instructional design by managing intrinsic, extraneous, and germane load within working memory limits. Use this skill when the user needs to diagnose why learners are overwhelmed, redesign training or documentation for better comprehension, evaluate UI/UX information architecture for cognitive burden, or when they ask 'why is this tutorial confusing', 'how to simplify complex instructions', or 'what causes information overload'.

charlieviettq Skill

Write and maintain technical documentation. Trigger with "write docs for", "document this", "create a README", "write a runbook", "onboarding guide", or when the user needs help with any form of technical writing — API docs, architecture docs, or operational runbooks.

charlieviettq Bundle

Conduct a systematic literature review following the PRISMA framework with explicit search strategy, inclusion and exclusion criteria, quality assessment, and transparent synthesis. Use this skill when the user needs to design a reproducible literature search, apply PRISMA flow documentation, develop inclusion and exclusion criteria, assess study quality, or when they ask 'how do I do a systematic review', 'what is PRISMA', or 'how do I make my literature review reproducible'.

charlieviettq Skill

Prepare journal entries with proper debits, credits, and supporting documentation for month-end close. Use when booking accruals, prepaid amortization, fixed asset depreciation, payroll entries, revenue recognition, or any manual journal entry.

charlieviettq Bundle

Interpret the three core financial statements (income statement, balance sheet, cash flow statement) to assess business health and performance. Use this skill when the user needs to read financial statements, understand profitability vs cash flow, evaluate a company's financial position, or prepare for investor/board meetings — even if they say 'explain these financials', 'are we making money', 'read this annual report', or 'what do these numbers mean'.

charlieviettq Skill

Package an escalation for engineering, product, or leadership with full context. Use when a bug needs engineering attention beyond normal support, multiple customers report the same issue, a customer is threatening to churn, or an issue has sat unresolved past its SLA.

williamcorrea23 Skill

Creates an L2 slice in the abap_wiki knowledge base: a business process on which to build functional documentation. Writes the manifest (curated anchors + mandatory real owner) and derives the membership from the dependency graph (BFS hop<=2). Use this skill to start the L2 process on a custom domain. Does not promote anything to L2: it only prepares the slice for research-l2.

williamcorrea23 Bundle

Upgrade a CAP project to the latest CDS version. Drives the `cds upgrade` CLI for CDS 10+ (pattern detection, false-positive filtering, fix categorisation) and handles manual upgrades for earlier versions (major jumps like 7→8, 8→9 as well as minor/patch updates). Use when a developer needs to upgrade CDS in a CAP project, already has a `cds upgrade` report, or wants to move to a newer CDS version.

williamcorrea23 Skill

SAP API documentation standards — OData API documentation guidelines, REST API style guide, OpenAPI/Swagger specs for SAP services, API naming conventions, SAP API Business Hub documentation requirements. Use when documenting SAP APIs, creating OpenAPI specs for SAP services, or reviewing API documentation against SAP standards.

williamcorrea23 Skill

管理报告主流程 — 整合月度财务报告编制、业务分析整合、指标预警处理与管理报告发布。 适用情形：月度/季度管理报告编制（每月固定时间）时执行， 整合 financial-report-generation、management-commentary-writing、metric-alert-handling 和 management-report-publishing，输出完整的管理报告包。 核心：财务数据 → 业务解读 → 指标预警 → 报告编排 → 分发归档。

williamcorrea23 Skill

项目估值与投资决策主流程 — 整合 NPV/IRR 计算、实物期权分析、 可比公司内部参照和投资决策报告。 适用情形：CFO/投资经理评估内部项目投资（新产品线/设备采购/ 产能扩张）时执行，整合 npv-irr-calculation、real-options-analysis、 comparable-company-internal 和 investment-decision-report， 输出完整的投资决策包。 核心：假设清晰 → 估值准确 → 风险可控 → 决策有据。

williamcorrea23 Skill

投资决策报告生成 — 整合 DCF 估值结果、敏感性分析、 战略价值评估和可比参照，生成结构化的投资决策包， 提交 CFO/IC/董事会审批。 适用情形：完成 npv-irr-calculation、real-options-analysis 和 comparable-company-internal 后，汇总生成正式审批文件。

williamcorrea23 Skill

管理报告生成 — 从 ERP/BI 系统提取数据，生成月度/季度管理报告， 包括财务业绩分析、KPI 达成追踪和业务解读。 适用情形：每月结账后 [X] 天，或用户要求"生成管理报告"时执行。 核心：多系统数据提取 + 财务分析框架 + 业务洞察提炼。

williamcorrea23 Skill

预约定价安排（APA）管理 — 涵盖 APA 申请、监控、续期全流程。 适用情形：CFO/TP 负责人评估是否申请 APA、 监控现有 APA 执行状态、或准备 APA 续期时执行。

williamcorrea23 Skill

管理报告发布 — 完成管理报告的最终审阅、格式调整和分发， 确保报告按时按质送达目标受众。 适用情形：管理报告生成完成后，或用户要求"发布管理报告"时执行。 核心：审阅流程 + 格式合规检查 + 分发管理。

williamcorrea23 Skill

BEPS 行动 13 合规 — 按 OECD BEPS 行动计划 13 要求， 检查转让定价文档是否符合主体文档/本地文档/CbCR 的三层结构要求。 适用情形：年度同期资料准备完成后的合规自查， 或应对税务机关 BEPS 检查时执行。

williamcorrea23 Skill

管理报告文字解读撰写 — 撰写管理报告中的文字解读部分， 包括业绩概述、业务亮点、风险说明和下期展望。 适用情形：财务数据提取和分析完成后，或用户要求"撰写管理报告文字"时执行。 核心：数据故事化 + 业务逻辑串联 + 专业表达。

williamcorrea23 Skill

转让定价可比性分析 — 筛选可比公司，计算利润水平指标， 评估企业是否符合独立交易原则。 适用情形：年度同期资料准备、关联交易审核、 TP 风险评估时执行。对内有形资产销售/服务提供， 对外无形资产许可/金融服务交易。

williamcorrea23 Skill

转让定价主体文档（Master File）和本地文档（Local File）准备。 适用情形：年度同期资料准备时，按 OECD BEPS 行动 13 和中国税法要求， 撰写完整的转让定价文档包，包括组织架构、价值链分析、功能风险分析、 可比性分析和 TP 方法说明。

williamcorrea23 Skill

转让定价文档管理主流程 — 整合主体文档/本地文档/CbCR/APA 全套文档管理。 适用情形：年度转让定价文档准备时执行，整合 master-document-preparation、 comparable-analysis-tp、beps-compliance 和 apa-management， 输出完整的转让定价合规文档包。 核心：关联方清晰 → 方法选择合理 → 文档完整 → 披露合规。

clowlove Bundle

Extract text from PDFs/scans (pymupdf, marker-pdf).

dingxingdi Bundle

Use this skill to generate high-quality, professional investigative reports that mirror expert human standards and satisfy the Deep Reasoning (Depth) and Wide Aggregation (Width) dimensions of research. Trigger this skill when the user asks for 'analyst-level research,' 'deep-dive investigative reports,' or when they need to 'verify findings against expert standards' on the live web. It is especially useful for requests like 'do some deep research into this,' 'make sure the analysis goes beyond just summarizing facts,' 'trace the specific history across the web,' or 'reconcile complex data into a structured case study.' This skill ensures the output provides both logical deduction to identify hidden entities and comprehensive attribute gathering to ensure data completeness.

dingxingdi Bundle

Use this skill when the user wants a long report, article, monograph, or multi-thousand-word draft that still needs to stay organized and substantive. Trigger it for requests like “write a 4,000-word report,” “draft a 10,000-word article,” or “expand this into a full-length overview without repeating yourself.” It is especially useful when long outputs tend to become shallow, repetitive, or incoherent.

dingxingdi Bundle

Use this skill when translating content into languages where words change their form through prefixes or suffixes to show grammar, or where the same word means different things. Trigger it for requests like 'ensure the prefix matches the pronoun,' 'don't mess up the verb endings in agglutinating languages like Ibibio,' 'keep the grammar straight in complex sentences,' or 'make sure words with many meanings are translated correctly based on the context.'

dingxingdi Bundle

Use this skill when the user wants to extract structured labels, relationships, or granular metadata from messy text, layout-rich forms, or specialized diagrams. It is crucial for scientific document processing and 'Knowledge Grounding', where extracted terms must be mapped to specific ontology IDs (like UBERON or NCBITaxon) to resolve polysemy. Trigger it for requests like 'pull the key attributes from this scanned invoice', 'map these brain regions to their ontology IDs', 'convert this PDF assessment into a machine-readable schema', 'find the causal relationship between these two entities', or 'extract the sheet music into an array of notes'.