#video

Use this when the user wants to make a Chinese narrated short video about history or real-life figure stories, or mentions story-studio or 故事工坊 (Story Workshop). It chains topic selection, narration script, AI voice-over, subtitle alignment, storyboard illustrations, and a CapCut draft. You can run the whole pipeline or just one segment. Confirm before spending money, keep API keys out of the conversation, prioritize historical accuracy, and note that the underlying project is for non-commercial use only. Use case: Have an agent help you make narrated short videos about history and figures: write the script, record the voice-over, align subtitles, illustrate storyboards, and produce a CapCut draft.

A learner asked how to keep faces consistent in multi-person face swaps. The group's conclusions: swapping multiple people at once in wan3 rarely succeeds, so try Kling; viral videos mostly feature 1 to 3 people, and 1 to 2 is the most stable; if quality is poor, switch models, adjust prompts, provide context, and supply reference images; cheap models get what you pay for. On compliance, non-consensual intimate deepfakes are illegal, payment processors will ban accounts, so only use faces you have permission to use.

Edit the text and numbers on a ready-made motion template, re-render, and download the finished video, with a consistent style.

Turn Remotion talking-head video production from a one-shot gamble on the final cut into a controlled Codex workflow with preview, frame-level edits, and acceptance: asset check → real transcription → proxy development → style keyframes → semantic storyboard → Studio preview → frame-level revision → quality review → export only after approval. Multi-file repo, installed via git clone. Use case: Use Remotion to turn talking-head footage into controlled videos that can be previewed, edited frame by frame, and exported only after approval.

A general-purpose skill for Codex and local creative workflows that turns a product brief, reviewed narration, digital human or real-person on-camera speech, real product footage, and motion graphics into a deliverable video with review gates. It is not tied to any brand or script; product facts, copy, media, and vendor parameters live in the project directory. Multi-file repository, installed via git clone. Use case: Combines a product brief, narration, and digital human on-camera speech into a deliverable product video with review gates.

Turns an SRT subtitle file into a whiteboard hand-drawn animation on a warm cream paper background: subtitles drive elements to appear one by one in narrative order, with zone-mask layout and continuous strokes (outline first, then color), outputting MP4 and saving you from frame-by-frame manual whiteboard animation. Multi-file repo, installed via git clone. Use case: Turn an SRT subtitle file into a subtitle-driven whiteboard hand-drawn animation video with continuous strokes.

Automatically detects, tracks and obscures faces in video, with mosaic, blur or solid black masks, preserving the original motion and audio. Processes locally and outputs Telegram-compatible H.264 MP4. SCRFD suits small distant faces in groups; YuNet is faster. Use case: Automatically blur faces in video (mosaic, blur or solid black), keep the audio, process locally.

Use this when a user has an audio recording they want to turn into a captioned short video, spoken-word clip, or social media short. The core is word-level timestamps: transcribe into word-by-word text, the user deletes words to cut the matching audio, AI marks key words for highlighting, and then it renders a vertical video with a black background, key words in gold, and captions that appear in sync with the sound. Use case: Turn an audio recording into a short social media video with key-word highlighting and captions synced to the sound.

Entry point and router for every public jqsp.com API — read this file first for short dramas, medium-length videos, single videos, talking-head videos, image generation, storyboard sheets and voice-over / text-to-speech. Uses the Drama Agent API (https://jqsp.com/api/v1/drama/**) to take a short drama from source text to finished episode; single videos go through the jqsp-video skill, talking-head videos through the jqsp-talking-head skill, images / Nano Banana / storyboard sheets through the images sub-skill, speech synthesis through the tts sub-skill, and balance, model prices and model availability through GET /api/v1/catalog and /api/v1/model-status. At the start of a session, offer the human a set of entry buttons (new drama, continue a project, add a character / scene / prop, shot-by-shot production, export, make a medium video, make a single video, generate images, voice-over, etc.); a click goes straight into that flow. Recommend that the human writes the script on the website (step 1); with several projects, ask which one to work on (step 2 — never pick yourself); then check whether the project already has a script / storyboard (step 0): projects already in production take "continue with new chapters", projects without a script or without any broken-down chapter take "build from scratch". Along the way, GET .../status's next.tool tells you which sub-skill to read (script / characters / scenes-props / voices / storyboard); medium videos (project mode = quick15) go straight to the quick sub-skill. Use for any request like "make me a short drama", "continue this project", "where is this drama stuck", "render chapter N", "make a 15-second video", "generate an image", "make a 9-panel storyboard sheet", "turn this text into speech", "check my balance / model prices / which models work". Use case: Let your AI agent make short dramas and mid-length videos, plus images, voice-overs and single clips. It quotes the credit cost and waits for your confirmation before every spend.