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Found 1,291 Skills
Implements the Syncfusion Blazor Rich Text Editor (SfRichTextEditor) from Syncfusion.Blazor.RichTextEditor. Supports HTML, Markdown, and IFrame editor modes. Use this skills for toolbar configuration, image/video/audio insertion, table management, paste cleanup, import/export Word/PDF, accessibility, globalization, RTL, and inline or custom toolbar tool scenarios in Blazor applications.
End-to-end cold email outreach orchestration. Handles goal alignment, lead selection from Supabase, sequence design, email generation (via email-drafting), campaign setup in the user's chosen outreach tool, and logging. Tool-agnostic — supports Smartlead (default), Instantly, Lemlist, Apollo, or manual CSV export.
Export and sync Douban (豆瓣) book/movie/music/game collections to local CSV files via Frodo API. Supports full export (all history) and RSS incremental sync (recent items). Use when the user wants to export Douban reading/watching/listening/gaming history, back up their Douban data, set up incremental sync, or mentions 豆瓣/douban collections. Triggers on: 豆瓣, douban, 读书记录, 观影记录, 书影音, 导出豆瓣, export, backup, sync, collection.
Convert flomo memos from local desktop auth/API into grouped Markdown files for AI/NotebookLM reading, plus human-readable Markdown tag statistics with tree totals. Use when a user asks to export flomo notes to Markdown, split memos by month/quarter/year, generate NotebookLM-friendly archives, or produce flomo tag counts/aggregation.
Stateful QGIS CLI for projects, writable layers, features, layouts, exports, and qgis_process operations using the real QGIS runtime.
Set up, configure, and troubleshoot Grafana Cloud integrations for AWS, Azure, and other cloud providers. Use when the user asks to connect AWS CloudWatch, set up Azure Monitor, configure Confluent Cloud observability, install a Grafana integration, set up hosted exporters, use AWS Firehose for CloudWatch logs, or troubleshoot a cloud integration. Triggers on phrases like "AWS CloudWatch", "Azure Monitor", "Confluent integration", "cloud integration", "hosted exporter", "AWS Firehose", "install integration", "cloud metrics", or "cloud logs".
This skill should be used when importing, listing, or exporting Granola meeting recordings and transcripts. Queries Granola's local cache and API to list meetings, extract transcripts, and export to Obsidian notes in Fathom-compatible format.
微信公众号文章抓取与导出。自动处理 mp.weixin.qq.com 的登录态获取与续期， 支持按公众号搜索、抓取文章列表与正文、按日期窗口导出 Markdown / JSON / CSV。 Trigger when the user wants to crawl a WeChat public account, export recent articles, or 提到 "wcx"、"微信公众号"、"公众号文章"、"mp.weixin"、"抓公众号"、 "crawl wechat official account"、"wxmp"、"最近十天的文章"。
Preview Markdown, LaTeX, PDF, or code artifacts in the browser or as PDF. Use when the user wants to review a written artifact, export a report, or view a rendered document.
使用SIF（搜索情报框架）数据分析ASIN的流量来源构成与曝光分布，覆盖本期/上期/新进/退出周期对比。当用户提到ASIN流量来源、流量结构分析、自然流量与付费流量占比、曝光得分拆解、周期对比、新进/退出流量词、竞品流量分析、SP广告关键词数量、品牌广告曝光、Amazon's Choice曝光、编辑推荐曝光、Top Rated曝光、视频广告曝光、自然搜索曝光比例、PPC流量来源、促销秒杀流量来源、推荐位结构拆解、ASIN traffic analysis, traffic sources, organic traffic share, ad traffic share, exposure analysis, traffic structure, period-over-period comparison, keyword churn, SIF时触发此技能。即使用户未明确提及"SIF"，只要其需求涉及分析ASIN的流量来源、曝光渠道分布、跨周期对比或竞品流量结构对比，也应触发此技能。
Create, visualize, and analyze lithological and stratigraphic logs for well data. Use when Claude needs to: (1) Create lithology columns from depth intervals, (2) Parse geological descriptions into structured logs, (3) Visualize stratigraphic columns with patterns and colors, (4) Perform well-to-well correlations, (5) Extract statistics like net-to-gross ratios, (6) Define rock type lexicons and legends, (7) Export lithology data to CSV/LAS/JSON.
Configures the analytics side of a PostHog experiment — exposure criteria (default `$feature_flag_called` vs custom exposure events), primary and secondary metrics, the supported metric types (count, sum, ratio with `math` and `math_property`, retention with `retention_window_start` and `start_handling`), multivariate user handling ("Exclude" vs "First seen variant"), and how to read results once the experiment is live. Use when the user adds or edits a primary or secondary metric (e.g. "add a secondary metric tracking 'downloaded_file' per user"), sets up a ratio metric (e.g. "revenue from purchase_completed / pageviews"), sets up a retention metric (e.g. "$pageview → uploaded_file, 7-day window"), configures custom exposure (e.g. "only count users who hit /checkout"), changes multivariate handling, or asks "who is in the analysis?", "how do I measure impact?", "is this winning?", "what's the confidence level?", or "should I ship?".