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Found 1,381 Skills
Extract YouTube video transcripts with metadata and save as Markdown to Obsidian vault. Use this skill when the user requests downloading YouTube transcripts, converting YouTube videos to text, or extracting video subtitles. Does not download video/audio files, only metadata and subtitles.
Track and analyze US government shutdown liquidity impacts by monitoring TGA (Treasury General Account), bank reserves, EFFR, and SOFR data from FRED API. Use when user wants to (1) analyze current or past government shutdown effects on financial markets, (2) track liquidity conditions during fiscal policy disruptions, (3) assess "stealth tightening" effects, (4) compare shutdown episodes across different monetary policy regimes (QE vs QT), or (5) generate liquidity stress reports with historical context. Recommended usage frequency is weekly on Wednesdays after TGA/reserve data releases.
使用 gen_image_verbatim 工具从文字描述生成图片,适用于无参考图的文生图场景
使用 edit_image 工具编辑图片或基于参考图生成新图,适用于有参考图的编辑和生成场景
Dreamina Video Description Writing Specifications, including camera movement, subject actions, lighting atmosphere, etc.
查询 Dreamina 生成任务结果,获取图片/视频下载链接
Analyze tonality — key detection, chord progression, melody contour
Generate Dreamina-compatible prompts from music analysis — per-section visual descriptions
Generate storyboard from music analysis — shot-by-shot with camera movements
Deeply interviews the user about a feature idea before implementation. Use this when the user says "interview me about [feature]", "I want to create a new feature", "let's create a new feature", "new feature", "plan a feature", or describes a feature they want to build. Asks probing, non-obvious questions about technical implementation, UI/UX decisions, edge cases, concerns, tradeoffs, and constraints. Continues interviewing until the feature is fully understood, then writes a detailed implementation plan.
Expert delivery management covering continuous delivery, release management, deployment coordination, and service operations.
Guide for building full-stack web applications using Reflex, a Python framework that compiles to React frontend and FastAPI backend. Use when creating, modifying, or debugging Reflex apps - covers state management, event handlers, components, routing, styling, and data integration patterns.