📊 BI & Dashboards AI Skills

Data analysis and visualization. Query databases, generate reports, automate spreadsheets, and turn raw data into clear, actionable insights. Use when (1) yo...

Embeddable Fear & Greed Index for crypto dashboards. Real-time sentiment gauge. Drop-in React/HTML components. Works with AI agents, Claude, Cursor.

Use when the user wants a claim-safe growth report from validated current evidence, with TrustGrowth score/history when connected and source-specific reporting otherwise.

做可研报告，卡住的往往不是不会写，是**不知道按哪版大纲、财务测算六表和正文对不上、交付前排版被退稿**。这套是从二十多万字、131 张表的真实交付里固化的流水线。 为什么可以信这套： - **大纲判型判错整篇重写**：发改委 2023 大纲政府版 11 章 38 节、企业版 10 章 37 节，两套结构不同，先判型再动笔 - **六表必须全公式联动**：改一个参数不全表重算，表格之间立刻前后矛盾，评审一眼就能看出来 - **排版是退稿高频项**：Word 里图片跨页、表格断行、目录页码不对，都是被退回来的原因，所以交付前有一道体检 怎么做的：判型 → 联网尽调采集 → 财务测算（六表全公式）→ 按大纲成稿 → 专业排版去AI痕 → 多模型视觉验收 → 交付。 输入：项目基础信息、甲方要求、可拿到的公开数据 输出：可研报告 Word 成稿 + Excel 六表测算套表（改参数自动重算）+ 说明文档 触发词：可研报告、可行性研究报告、可行性研究、立项报告、项目建议书、发改委大纲、财务测算、六表勾稽、融资可研、政府可研、企业可研、报告排版。

中文报告做成 PDF，常见翻车三件套：**字体乱码、表格错位、字号小到客户在手机上根本看不清**。这套是交付级的排版标准加可直接跑的模板。 交付标准（按「客户在手机上看」倒推）： - **大字号**：正文 ≥16pt、表格 ≥15pt、H2 ≥17pt、大标题 ≥30pt——不是 12pt 那种印出来都费劲的 - **紧凑不注水**：只在封面后分页一次，正文自然流动，禁止每章强制分页撑页数 - **表格智能换行**：单元格用 Paragraph 加中文断行，长内容不溢出页面 - **页面均衡**：生成后自查每页字符数，避免一页只有两行 - A4 竖排、边距 18-20mm、直接打印可用 附：微软雅黑系统字体直接调用（不用下载字体文件）、封面/页脚页码/核心结论框模板、**排版自检脚本**（自动查字号是否达标、有没有多余分页）。 适用：可行性研究报告、尽调报告、项目分析、任何要交付给客户的中文正式文档。纯本地 Python，零 API Key。 触发词：做成PDF、生成PDF、中文PDF、报告排版、雅黑、乱码、表格溢出、手机看不清、可研报告、交付文档。

综合诊断学术论文标题，生成完整的分析报告。 用于：一次性检查标题的各个方面（贡献度、结构、语法、声明、关键词）并生成完整报告。 触发场景："综合诊断"、"完整分析这个标题"、"帮我全面检查标题"。

Turn aggregated findings — news, monitoring, research — into a report someone will actually read: a chat digest, a Markdown doc, or a self-contained HTML dashboard. Use when a task ends with a pile of data and the risk that nobody reads the writeup.

Use when a user asks to scan, audit, classify, reconcile, or report GitCode Issues and linked PR states, including requests for a reviewable Issue-closing script.

Analyze a person's skin from a single selfie using YouCam (Perfect Corp) AI. Returns 16 skin-condition scores plus skin type, as a readable report. Use when the user wants a skin analysis / skin report / skin score — incl. "幫我看膚質", "膚況分析", "how's my skin", "skin report". Do NOT use for skin-tone/facial attributes (that's facial-consultant), makeup, or hair.

Scrape WDFW Puget Sound creel data into salmon CPUE reports: daily digest, weekly top-launch email with chart, and proactive hot-bite alerts.

Use when the user wants a periodic authority and backlink report — referring-domain movement, pillar state, prospect pipeline — as a document, from link exports or TrustGrowth authority data.

Use when the user wants a periodic keyword position report — quick wins, striking distance, movement since last period — as a document, from search-console data or TrustGrowth keyword lifecycle.

把周报月报数据自动排成汇报用HTML幻灯片，含数据页与结论页。 当用户提到「汇报PPT」「周报幻灯片」「月度总结演示」「述职幻灯片」时使用。

Read Google Analytics 4 reporting data through the GA4 Data API. Use for explicit GA4 property metadata, compatible metric/dimension reports, traffic analysis, key events, quotas, and bounded exports.

Generate daily business briefings from multiple data sources. Aggregates weather, crypto prices, news headlines, system health, and calendar events into a fo...

提供看板搭建的可落地指南与SOP。在开展看板搭建相关工作时调用。

PostHog API integration with managed authentication. Product analytics, feature flags, session recordings, experiments, and more. Use this skill when users want to query analytics events, manage feature flags, analyze user behavior, view session recordings, or run A/B experiments. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway). Calls run through the `maton` CLI with OAuth login, or over raw HTTP with a Maton API key where the CLI cannot be installed. Every call is authenticated as the user's connection and reaches only what that connection's authorization allows, which the provider enforces on every request; the endpoints documented here are the ones this skill uses, and any other endpoint of this app needs the user to ask for it by name. Default to read and list calls, and confirm every write or new connection with the user. This file also documents the three constructs that turn a PostHog connection into automation, in the order they are used: the connection (the first step), a hosted function that runs a PostHog action through the Maton SDK, and a trigger that calls that function on a schedule or on an event. Those sections are the platform's own reference text, shared with the api-gateway skill, with PostHog examples; they add no PostHog capability - PostHog is not an event source, a trigger cannot read PostHog data, and the files under `references/<source>/triggers.md` are the platform's event catalogues for the sources Maton offers (time, Calendly, GitHub, Gmail, HubSpot, Linear, Notion, Slack, Stripe).

Grafana API integration with managed authentication. This is a write-capable integration — it can read, create, update, and delete dashboards, data sources, folders, annotations, and teams in your Grafana instance, read alert rules and org info, read the current user's own profile, list installed plugins, and search service accounts (read-only inventory of identities that hold API tokens - no service account or token is created or changed here). Alert rules are documented read-only; the provisioning namespace can also write them, and this skill does so only on a specific user request with confirmation. Use this skill when users want to interact with Grafana for monitoring, visualization, and observability. All write operations (creating/updating/deleting dashboards, folders, data sources, or teams) require explicit user approval with specific resource identifiers before execution. Team administration is included: creating, updating, and deleting teams changes who can reach which dashboards and folders, so treat those as identity- and access-affecting writes that need explicit confirmation of the team by id and name. It does not cover user accounts, organization membership, licensing, or server-level platform settings. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway). Calls run through the `maton` CLI with OAuth login, or over raw HTTP with a Maton API key where the CLI cannot be installed. Every call is authenticated as the user's connection and reaches only what that connection's authorization allows, which the provider enforces on every request; the endpoints documented here are the ones this skill uses, and any other endpoint of this app needs the user to ask for it by name. Default to read and list calls, and confirm every write or new connection with the user. This file also documents the three constructs that turn a Grafana connection into automation, in the order they are used: the connection (the first step), a hosted function that runs a Grafana action through the Maton SDK, and a trigger that calls that function on a schedule or on an event. Those sections are the platform's own reference text, shared with the api-gateway skill, with Grafana examples; they add no Grafana capability - Grafana is not an event source, a trigger cannot read Grafana data, and the files under `references/<source>/triggers.md` are the platform's event catalogues for the sources Maton offers (time, Calendly, GitHub, Gmail, HubSpot, Linear, Notion, Slack, Stripe).

Combines frontal facial image capture with multimodal physiological feature analysis to provide early risk screening and alerts for chronic and acute conditions such as heart attack, stroke, hypertension, and hyperlipidemia. | 非接触式健康风险识别技能，通过正面人像采集结合多模态生理特征分析，提供心梗、脑梗、高血压、高血脂等慢病急症早期风险筛查预警

YouTube Reporting API integration with managed OAuth. Schedule and download bulk YouTube Analytics reports as CSV files. Use this skill when users want to schedule bulk reporting jobs, list available report types, download daily generated reports, or manage reporting jobs for their YouTube channel. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway). Requires network access and valid Maton API key. Calls run through the `maton` CLI with OAuth login, or over raw HTTP with a Maton API key where the CLI cannot be installed. Every call is authenticated as the user's connection and reaches only what that connection's authorization allows, which the provider enforces on every request; the endpoints documented here are the ones this skill uses, and any other endpoint of this app needs the user to ask for it by name. Default to read and list calls, and confirm every write or new connection with the user. This file also documents the three constructs that turn a YouTube Reporting connection into automation, in the order they are used: the connection (the first step), a hosted function that runs a YouTube Reporting action through the Maton SDK, and a trigger that calls that function on a schedule or on an event. Those sections are the platform's own reference text, shared with the api-gateway skill, with YouTube Reporting examples; they add no YouTube Reporting capability - YouTube Reporting is not an event source, a trigger cannot read YouTube Reporting data, and the files under `references/<source>/triggers.md` are the platform's event catalogues for the sources Maton offers (time, Calendly, GitHub, Gmail, HubSpot, Linear, Notion, Slack, Stripe).

Analyze relationship between profitability and market share. Use for competitive advantage assessment, scale economies analysis, and strategy validation.

Automate financial analysis, integrate with banks and software, generate reports, forecast cash flow, and analyze investments for businesses and professionals.

在有了研究大纲后使用。将研究大纲转化为详细的报告结构和执行计划，明确每个章节的内容、数据来源、分析方法。

Understand what your AI agent's skills are actually being used for — with usage reports, success/failure tracking, and unused-skill recommendations. Part of...