Skill UI

Extract transcripts from YouTube videos, validate URLs and availability, then use STAR+R-I-S-E with youtube-transcript-api to craft comprehensive summaries and documentation for lectures, tutorials, and informational clips.

Builds comprehensive, step-by-step production outlines for YouTube videos. It meticulously plans content structure, talking points, screen-share sequences, and detailed demo execution steps. The output includes a full prep checklist, ensuring the video production process is professional, thorough, and failure-proof.

A CLI integration for Lark Minutes, enabling users to search, download media, upload audio/video for transcription, update titles, replace speakers, and manage AI tasks.

Search historical Lark video conferences, retrieve meeting minutes, AI summaries, action items, transcripts, and query participant snapshots for completed meetings.

This skill analyzes a recorded video of a manual, repetitive process. It extracts visual frames and transcribes audio narration to reconstruct the step-by-step workflow, identifying applications used, data flow, and pain points. Based on a detailed understanding of the process, the assistant proposes targeted, working automation scripts using tools already available on the user's machine.

This advanced engine creates deeply personalized, relationship-aware daily gifts using a sophisticated five-stage creative pipeline. It first performs an 'Editorial Judgment' to determine if a gift is warranted, and then generates the content concept. Output can be rendered as interactive H5 web pages, AI-generated images, or videos, ensuring that every artifact is highly unique, contextually relevant, and avoids repetition. Ideal for automated journaling, marking milestones, or maintaining thoughtful daily engagement.

A comprehensive guide for accessing and managing Feishu IM messages. This skill allows users to retrieve historical chat records from both group and private conversations, read detailed thread replies, and conduct cross-conversation searches using keywords or time filters. It also supports downloading all types of embedded media, including images, files, audio, and videos, ensuring complete information recall.

This guide provides a minimal working example demonstrating core MindTickle API functionality. It shows how to programmatically create structured training modules (including videos and quizzes), assign them to specific teams or users with deadlines, and track user progress and overall completion rates using analytics endpoints. It is ideal for integrating Learning Management System (LMS) functionality into internal corporate tools and automating onboarding processes.

This guide provides comprehensive technical guidance for performance tuning and automating workflows using TechSmith Snagit COM API and Camtasia. It details key considerations for robust scripting, including using PowerShell and Python interop, defining various input/output types (like desktop, window, clipboard, or file), and solving common errors (such as COM registration failures or permission issues). Use this skill when building complex, automated pipelines for screen capture and video editing.

This skill extracts full transcripts and rich metadata from a single YouTube video URL. It uses yt-dlp to download subtitles, cleans VTT timing markers, and pulls video details (title, channel, date). The output is a structured, queryable Markdown file, ideal for populating a personal knowledge vault and enabling downstream knowledge graph extraction or content repurposing.

This utility parses structured short-drama scripts (AI-video-script format) and generates a time-coded SRT subtitle file. It reads cumulative shot durations and voiceover texts to create highly accurate, timestamped subtitle cues. It operates purely on text processing, making it ideal for automated video production pipelines, especially between script merging and final subtitle burning.

This workflow transforms long YouTube talks and lectures into a personal, structured, and local markdown library. Each video becomes a self-contained file containing slide snapshots, full timestamped transcripts, and editable study notes. It eliminates reliance on cloud services, giving users full ownership of their academic material.