Claude Skills by infometa

Design, specify, implement, revise, and QA quantitative visuals and chart choices. Use when an analytical answer needs visual judgment—comparing values, showing composition, reading concentration, understanding movement over time, or building chart specifications for reports and dashboards.

Design KPI frameworks, set targets, develop measurement plans, and estimate market/opportunity sizes (TAM/SAM/SOM). Use when success metrics, drivers, guardrails, targets, or measurement approach need to be defined or improved, or when a market or opportunity size estimate is needed.

Diagnose why a metric changed or differs from expectation, and produce leadership-ready KPI updates. Use when the user needs to understand what drove a metric movement, anomaly, or discrepancy, or when producing WBR/MBR/QBR summaries, scorecards, target pacing readouts, or performance updates.

Comprehensive data analysis workflows including answering data questions, exploring datasets, writing SQL queries, creating visualizations, building dashboards, and validating analyses. Use when conducting data analysis tasks, from quick lookups to comprehensive reports.

Profile and explore datasets to understand their shape, quality, and patterns before analysis. Use when encountering a new dataset, assessing data quality, discovering column distributions, identifying nulls and outliers, or deciding which dimensions to analyze.

Create effective data visualizations with Python. 优先使用 plotly（交互式图表），seaborn 和 matplotlib 作为备选（静态图表）。Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.

Build self-contained interactive HTML dashboards with Chart.js, dropdown filters, and professional styling. Use when creating dashboards, building interactive reports, or generating shareable HTML files with charts and filters that work without a server.

Write correct, performant SQL across all major data warehouse dialects (Snowflake, BigQuery, Databricks, PostgreSQL, etc.). Use when writing queries, optimizing slow SQL, translating between dialects, or building complex analytical queries with CTEs, window functions, or aggregations.

Generate dark-tech colorful HTML pages for presentations, PPT-style pages, feature introductions, and workflow comparisons. Keywords: dark theme, deep color page, tech style, colorful cards, dark display page. NOTE: This skill has NO scripts. Do NOT call run_skill_script. The LLM must generate HTML directly based on the design spec in this file.

在 AI-Gallery 创建或替换作品（单 HTML / 代码包均可）。自动从 HTML 推断 name/desc 中英文，列出系统 tag 让用户选择，支持通过旧 URL 一键替换源文件并保留访问地址。 当用户提到 上传作品 / 上传到DataBrain / 上传到 AI-Gallery / 替换 Gallery 文件 时使用。

Before execute_e2b_code for attribution, drill-down, or statistical tests, read this SKILL.md then drilldown.md and/or statistical/SKILL.md plus needed references. Does not fetch data.

**Path:** `/skills/databrain-analysis/statistical/SKILL.md` 对齐 host `statistical-analysis`。在 sandbox 内用 `execute_sandbox_code` 实现；用 `read_file` 加载 references。

Query first-party (经分) game metrics (active users, revenue, sales, retention, ARPU, CCU/PCU, ASP, refund, LTV, wishlist, game-specific feature data, ua impression, ua ctr, etc) for games with Dashboard permission. Uses real internal data, which supports drill-down analysis across dimensions such as channel, platform(Steam, IOS, XBox, etc), product, region, bundle, country, etc. And supports real-time data.

经分Datalab 报表/知识库**兜底**分析 skill。**不是经分指标查询的首选**——一般经分（dashboard）问题必须先走 `databrain-dashboard-service`。仅在以下情况启用本 skill：(1) 用户**直接给了 Datalab 报表 URL / dashboard_id / `报表id@图表id`**；(2) `databrain-dashboard-service` 已尝试且返回 unsupported metric / 空数据 / MCP describe 找不到 cube 的明确失败。 非白名单游戏（不在 `dashboard_white_games`）**禁止**用本 skill 兜底。

Resolve game/company names to canonical DataBrain entities + per-system permissions. Run once per query before any data skill when the user names games or companies.

DataBrain intelligence data query assistant. Translates natural language questions into executable BigQuery SQL for the intelligence domain: market data (Sensortower, Alinea Analytics [Steam raw default], MScience, GSD, Ampere, NPD; Gamalytic legacy), streaming data (Streamhatchet), Steam live CCU (fetch_steam_ccu.py + warehouse spider/Alinea), Roblox CCU rankings & anomaly detection, mini game rankings (微信/抖音/Facebook小游戏榜单), report metadata (external & internal research reports), platform co...

Query DataBrain Management (MGMT/管理) data for users with MGMT permission — IEGG / publishing / studio / project commercialization and management metrics including revenue (收入/流水), profit (利润), market cost / 市场成本 / 营销成本 / 市场费用, R&D cost / 研发成本, KPI / 目标, forecast / 预估 / 预测, headcount / HC / 人力, human-resource risk / 人力风险, budget application / 市场预算申请, decision point / 管理决议, risks & opportunities / 风险与机会, project calendar / 项目日历, and milestones (Soft Launch / Global Launch / Early Access).

DataBrain 舆情指标查询助手。把游戏舆情/口碑/声量/情感/评分/KOL/直播/新闻/热门视频/热门帖子/Hashtag/热梗/竞品/官号 等问题，以及**游戏广告投放素材/创意取数**（创意数·素材数·素材类型·渠道·国家维度·素材明细列表）翻译成可执行的 BigQuery SQL，覆盖 opinion / intelligence / marketing_hub schema。**只支持游戏维度查询**，不支持公司/开发商/发行商聚合舆情；**不支持** UA 预算/团队规模/未来预测/决策建议/因果归因等问题，遇到会主动路由或拒绝。纯运营指标（独立的下载/收入/DAU/留存）归 databrain-intelligence；但**素材趋势 × DAU/下载时间对齐对比**在本 skill 素材 reference 内有限支持。触发关键词：舆情、口碑、声量、mentions、情感、sentiment、Brand Health、品牌健康度、评分、score、Steam/AppStore/GooglePlay/Xbox/PS/Metacritic/OpenCritic、好...

Generate qualitative public opinion deliverables for games — packaged summary reports, topic deep-dive with representative player comments and URLs, single YouTube video URL analysis, DataBrain UI redirect links, and external web search context. For raw quantitative metric queries (声量/情感/评分/KOL/直播/新闻/Hashtag/Meme/官号 聚合数字), route to `databrain-opinion-metrics-service` instead.

Phase B final Markdown: narrative placement, pipe-table GFM, number display, and prose layout. Pipeline timing and B1–B3 gate → soul.md §3.5 only.

游戏竞品活动报告生成工具。当用户需要对某款游戏生成官媒发帖内容和官方活动报告时使用，依次执行数据获取、活动聚合、联网搜索、总结分析四个主要工作模块，最终保存并展示指定格式的竞品报告。触发示例："帮我做一份 XXX 的竞品活动分析"、"生成 XXX 游戏官帖分析报告"、"最近 XXX 有什么官方活动？"。

游戏创意灵感引擎。融合 TikTok/YouTube 热门视频和行业热梗数据，为游戏运营/市场团队提供社媒内容制作灵感和端内资源跟进建议。当用户询问"今日热门"、"游戏内容灵感"、"素材方向"、"官号整活"、"趋势情报"、"热梗"、"热点借势"、"KOL 合作方向"、"端内动作"、"做进游戏"时触发。也应在用户用模糊表达如"最近有什么好玩的"、"竞品在搞什么"、"帮我看看市场热点"、"有没有能跟的趋势"、"内容没灵感了"时触发，即使没有明确提到游戏名称或具体平台。报告语言严格跟随用户 prompt 语言（中文问→中文报告，英文问→英文报告，要求"中英两版"→切分双语），任何混排都视为缺陷。

游戏舆情告警 Skill。监控游戏口碑指标并推送企业微信告警。当前主推「商店评分告警 v2」（Steam / Google Play / App Store 三渠道，P0/P1/P2 三级，支持分语种/分国家全切片自动评估、四维触发条件、静默期、归因），保留向后兼容的 KOL 热帖告警与关键词声量告警。当用户需要「设置舆情告警」「监控游戏评分」「评分下滑通知」「KOL 热帖预警」「关键词监控」「定时推送舆情」时使用。

按订阅游戏生成「过去 N 小时各平台热帖日报」，分平台（Reddit / X / YouTube / Steam / TikTok / Discord / 官方论坛 / Instagram / Facebook）出榜、每榜 Top 1-10 可配，输出 markdown / html 并可一键投递到 AI Gallery 与企业微信。当用户提到「每日热帖」/「热帖榜单」/「热帖推送」/「分平台热门帖子」/「日报」时使用。数据走 feeds 表（与 databrain-opinion-metrics / databrain-opinion-alert 同源）。

查询游戏舆情核心指标。支持声量、情绪分布、Brand Health、互动量、分渠道/分语种分布、Steam 评论评分、社区指标等。当用户询问游戏的"舆情"、"口碑"、"声量"、"情绪"、"评分"、"社媒表现"、"正负面评价"、"玩家讨论"、"Brand Health"时触发。

通过 Databrain 生成指定游戏、时段的舆情 AI 总结报告，快速掌握玩家讨论的核心观点与口碑趋势。在用户需要「舆情总结」「口碑摘要」「玩家讨论总结」「AI 解读评论」「一段时间内的舆情报告」时使用；需先解析游戏名得到 game_id 与平台类型。

基于 OpenCLI 的舆情数据抓取技能。覆盖国内外主流社媒（搜索、用户信息、帖子/视频列表、视频详情及互动量、评论、弹幕等）和商店平台数据爬取。当用户需要抓取舆情数据、采集社媒内容、获取商店评分评论、或者需要安装和配置 OpenCLI 时使用。 Triggers: 舆情数据、爬取社媒、抓取评论、获取弹幕、商店评分、opencli 安装、舆情监控、社交媒体数据采集、app store review、google play 评分、xiaohongshu/bilibili/weibo/twitter/youtube 数据抓取

微信公众号文章检索工具。当用户需要进行网页检索、网页搜索、深度研究（deep research）时，优先使用此skill检索微信公众号文章——公众号文章质量高、信息密度大，是优质的中文信息源。基于搜狗微信搜索接口实现。

71 套品牌级设计系统知识库，覆盖 AI/LLM、开发工具、生产力、金融科技、电商、媒体、汽车等 8 大类别。 每套系统包含 9 段标准结构：视觉主题、色彩、排版、组件、布局、深度、注意事项、响应式、Agent 指南。 触发词：设计系统、选择风格、品牌风格、设计令牌、DESIGN.md、配色方案

9 种原型模板的结构定义和代码规范，覆盖网页、SaaS、仪表盘、移动端、PPT、文档等设计场景。 每种模板定义了标准的 HTML 结构、必需的区块、布局规则和 Anti-Slop 约束。 触发词：原型模板、页面结构、布局模板、网页结构、组件结构

5 维度质量评审和 Anti-Slop 检测框架，用于确保设计产出达到品牌级水准。 包含评审标准、检测清单、评分规则和修复建议模板。 触发词：质量审查、评审、Anti-Slop、检测、评分、门控

基于 [awesome-design-md](https://github.com/VoltAgent/awesome-design-md) 的 58 个顶级品牌设计系统参考。

Full-stack frontend development combining premium UI design, cinematic animations, AI-generated media assets, persuasive copywriting, and visual art. Builds complete, visually striking web pages with real media, advanced motion, and compelling copy. Use when: building landing pages, marketing sites, product pages, dashboards, generating media assets (image/video/audio/music), writing conversion copy, creating generative art, or implementing cinematic scroll animations.

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics. Trigger scenarios — use when the user mentions any of: - UI design, frontend design, web design,...

10 prebuilt aesthetic templates, each a complete design system. When the user has no brand assets and needs a fast start, show these kits first — selecting one skips ConceptRoutes and generates DesignSystemManifest directly. Falls back to frontend-aesthetic-direction only if none fit.

从用户提供的截图/URL/代码库/品牌资料中提取设计 Token（配色、字体、间距、圆角、阴影、卡片样式），并细化所有可复用组件的完整规范（变体、状态、尺寸）。一个技能覆盖 Token 抽取与组件细化两个阶段。

Structured discovery questionnaire for new design tasks. Asks minimum necessary questions covering product, audience, page goal, output format, existing assets, and variant requirements, then compiles answers into a DesignBrief.

Generates 3-4 distinct aesthetic directions after starter kits have been rejected or when the user explicitly requests custom directions. Each direction has a clear aesthetic thesis, named color palette, font pairing with rationale, layout concept with ASCII wireframe, and a signature element. Rejects AI default aesthetics.

Explores variations on an existing prototype. After a prototype exists, generates hi-fi variants along 2-3 design dimensions (warmth vs cold vs playful, loose vs dense density, light vs heavy visual weight). All variants share the same design system, differing only on selected axes. User picks or mixes.

Generates an HTML slide deck following the design system. One core message per slide, max 6 lines, clear visual hierarchy, keyboard navigation, 0.2-0.3s transitions with prefers-reduced-motion support.

Generates high-fidelity HTML prototypes strictly following the DesignSystemManifest. Uses defined colors, fonts, spacing, and components. Includes all interaction states, responsive layout, semantic HTML, prefers-reduced-motion support, and real content. Auto-triggers AI-slop detection after generation.

Overlays a floating control panel on the prototype allowing real-time adjustment of color tokens, type scale, font weight, spacing multiplier, radius, and shadow parameters. Changes reflect instantly. On user confirmation, syncs back to DesignSystemManifest.

交付前五道质量检查合为一体：AI 味检测、可访问性审查、层级与节奏审查、交互状态审查、终检汇总。前四项独立检测，第五项引用前四项结果做汇总判定，不重复检测。产出最终 QAReport（含 P0/P1/P2 优先级和交付判定）。

Low-fidelity wireframe exploration to test layout and information hierarchy before committing to hi-fi. Produces 3+ layout variants using ASCII art, each annotated with layout strategy, information priority, and content block breakdown.

将 Figma 设计和截图转换为生产就绪的代码组件，内置无障碍性支持

OpenClaw skill for the agent-browser CLI (Rust-based with Node.js fallback) enabling AI-friendly web automation with snapshots, refs, and structured commands.

Market research specialist focused on comprehensive market analysis, consumer behavior insights, and market opportunity identification. Excels at quantitative market sizing (TAM/SAM/SOM), qualitative consumer research, and strategic market positioning analysis.

Professional DOCX document creation, editing, and formatting using OpenXML SDK (.NET). Three pipelines: (A) create new documents from scratch, (B) fill/edit content in existing documents, (C) apply template formatting with XSD validation gate-check. MUST use this skill whenever the user wants to produce, modify, or format a Word document — including when they say "write a report", "draft a proposal", "make a contract", "fill in this form", "reformat to match this template", or any task whose ...

Professional DOCX document creation, editing, and formatting using OpenXML SDK (.NET). Three pipelines: (A) create new documents from scratch, (B) fill/edit content in existing documents, (C) apply template formatting with XSD validation gate-check. MUST use this skill whenever the user wants to produce, modify, or format a Word document — including when they say "write a report", "draft a proposal", "make a contract", "fill in this form", "reformat to match this template", or any task whose ...

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 c...