Break down each shot and turn the analysis into a storyboard reference. Use when the user wants shot-by-shot film analysis, director logic, cinematography breakdown, or a storyboard-style reference from a video.
Guide for editing videos where the primary content is people talking — talking-head / 口播, interview / 访谈, lecture, tutorial, podcast, course content, and similar talking-driven formats. Use when the user wants speech editing on a talking video (剪口播 / 口播剪辑 / 去口癖 / clean up fillers / smooth speech), motion graphics…
Use when a video/audio task needs OpenChatCut transcription, captions, subtitles, subtitle styling, transcript search, transcript readiness checks, or enabling captions, including local or attached videos where the user asks to add captions/subtitles, transcribe, create bilingual subtitles, clean talking-head speech…
AI video generation via Seedance 2.0, Kling, MiniMax Hailuo, and xAI Grok Imagine. Use when the user wants to generate a video clip — text-to-video, image-to-video, first/last-frame transitions, reference-guided generation, multi-shot, or generatively editing / extending an existing clip.
Create platform-ready thumbnails from real video frames. Use when the user wants a thumbnail, cover image, YouTube cover, Shorts cover, Bilibili cover, Xiaohongshu cover, or other video poster image.
Text-to-Speech (TTS), voiceover, narration placement/sync, and custom sound effects (SFX) generator. Use when the user wants generated speech from text, wants to add/replace/align narration or voiceover for an existing video/timeline, wants to keep existing voiceover synced after visual retiming edits, needs voice…
Use when the agent should ask the user for structured input with an in-chat form, including single-select, multi-select, text fields, style pickers, or voice audition choices.
Use when improving performance, latency, throughput, memory usage, or general efficiency. Start by defining target metrics, measuring comprehensively, attributing bottlenecks, validating with static analysis, and prioritizing macro-optimizations before micro-optimizations.
The meta-skill that powers all other learning. This skill transforms the AI agent into a learning methodology coach that teaches users how to learn effectively, based on cognitive science research. It covers memory techniques, study strategies, metacognition, and self-regulated learning — the operating system for your…
This skill transforms the AI into a personalized virtual tutor with a distinct personality, teaching style, and evolving relationship with the learner. Inspired by research showing that emotional engagement dramatically increases learning motivation and retention, this skill lets users define a tutor character (real…
A specialized exam strategy and preparation coach covering major K-12 examination systems worldwide. This skill transforms the AI agent into an experienced test prep mentor who understands the specific formats, scoring rubrics, and strategic approaches for each exam system — including China's 中考 and 高考, the US SAT/ACT…