https://github.com/cclank/lanshu-create-ai-presenter-video
Provider-neutral Codex Skill for producing verified AI presenter videos from a script and an authorized presenter image.
https://github.com/cclank/lanshu-create-ai-presenter-video
ai-video codex codex-skill digital-human video-generation
Last synced: 18 days ago
JSON representation
Provider-neutral Codex Skill for producing verified AI presenter videos from a script and an authorized presenter image.
- Host: GitHub
- URL: https://github.com/cclank/lanshu-create-ai-presenter-video
- Owner: cclank
- License: mit
- Created: 2026-08-20T13:40:06.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2026-10-11T23:54:19.000Z (26 days ago)
- Last Synced: 2026-10-18T18:26:20.373Z (19 days ago)
- Topics: ai-video, codex, codex-skill, digital-human, video-generation
- Language: HTML
- Size: 1.75 MB
- Stars: 2,744
- Watchers: 12
- Forks: 415
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-agent-skills - lanshu-create-ai-presenter-video - Provider-neutral Codex skill for producing verified AI presenter videos from a script and an authorized presenter image. (Diagram and Visual Skills)
- awesome-claude-video-skills - cclank/lanshu-create-ai-presenter-video - 2.9k (đ§âđŧ Avatars)
README
# lanshu-create-ai-presenter-video
**English** | [įŽäŊä¸æ](README.zh-CN.md)
[](https://agentskills.io)
[](explainer/STYLES.md)
[](https://hyperframes.heygen.com)
[](https://github.com/cclank/lanshu-create-ai-presenter-video/actions/workflows/validate.yml)
[](LICENSE)
[](https://github.com/cclank/lanshu-create-ai-presenter-video/releases/latest)
[](https://www.python.org/)
[](https://ffmpeg.org/)
[](https://nodejs.org/)
[](https://github.com/cclank/lanshu-create-ai-presenter-video/stargazers)
[](https://x.com/LufzzLiz)
[](https://x.com/LufzzLiz)
> Turn a topic or script into a verified, publish-ready explainer video â presented by a digital human from one authorized portrait, or acted out on screen in one of twelve explainer styles â driven by the coding agent you already use.
`lanshu-create-ai-presenter-video` is an [Agent Skill](https://agentskills.io) that takes an AI agent through the full production of an explainer video. On the **presenter route** that means script, narration, presenter generation, lip-sync, captions and keyword motion graphics, editing, rendering, and quality assurance. On the **styled route** the narration is performed scene by scene in one of twelve styles (nine visual, three narrative), from a word-timed story to a rendered film. Every stage is gated by evidence on disk, and nothing is delivered until the output passes decode and loudness checks.
## Highlights
- **Harness-neutral.** A standard `SKILL.md` that loads in Claude Code, Codex, Gemini CLI, Cursor, OpenCode, GitHub Copilot, and other Agent Skills clients. Any agent that can read files and run shell commands can follow it directly.
- **Provider-neutral.** On the presenter route, voice, presenter video, lip-sync, and speech recognition are selected by capability at run time; each job records the provider, model, parameters, and task IDs it actually used. The styled route voices with MiniMax (word timestamps come from the voice engine) or takes narration you voiced or recorded elsewhere.
- **Twelve performed explainer styles.** Nine visual styles â editorial, tech HUD, notebook, paper pop-up, pop comic, 3D one-take, drafting sheet, chalkboard, and clay town â plus three narrative styles: derivation, casefile, and life-scene sitcom. Each has a reusable kit, starter, and example project.
- **Audio-locked timeline.** The approved narration is the master clock for presenter motion, captions, cuts, and final duration, which keeps lip-sync and scene boundaries aligned.
- **Evidence-gated workflow.** Eight production states, from `intake` to `verified`, computed from artifacts instead of declared by hand.
- **Cost guardrails.** Pilot-first generation, an explicit billing statement before the first paid call, retry ceilings, and task-ID recovery to avoid duplicate charges.
- **Verified delivery.** Master and share encodes are fully decoded and loudness-checked before any file is published.
## Two routes
| Route | The video | You provide | Paid generation | Format |
|---|---|---|---|---|
| **Presenter** | A digital human presents; captions and keyword graphics support it | Topic or script + authorized portrait | Voice + presenter video | Any; 9:16 by default |
| **Styled explainer** | No presenter: every narrated phrase is acted out on screen in one of twelve styles (nine visual, three narrative) | Topic or script (or your own recorded narration) | Voice only (none with your own narration) | 16:9 |
The agent infers the route from your request or asks once, with the style gallery. All styles share one contract â
word-timed captions, chapter chips, a performed closing line, a one-frame recap. Nine are visual styles that differ in
how ideas are acted out: editorial paper, tech HUD, notebook and pen, paper pop-up book, pop comic, 3D one-take,
drafting sheet, chalkboard, and a clay town. Below is the same moment of the bundled KV cache explainer in all nine:
Three are narrative styles, where the look comes with a way of telling and the script can draw on its suggested arc: **æ¨æŧ**
(derive it on one canvas, formulas and geometry bound by colour), **æĄåˇ** (investigate it on an evidence board, from the
anomaly to the closed case) and **å°å§åē** (a life-scene sitcom: a misconception, a bill or a queue that shows the cause,
one sentence that maps the analogy to the real term). Below is the same KV cache topic told the three ways:
A new topic becomes a playable draft in any style in a few commands â narration, word timing, captions, chapters,
closing line, recap, and sound are generated; the agent then performs each line's scene. See
[`explainer/STYLES.md`](explainer/STYLES.md) to choose a style and
[`references/styled-explainer.md`](references/styled-explainer.md) for the workflow â including an optional method for
bringing your digital human into a styled film.
## What you provide
| Input | Required | Notes |
|---|---|---|
| Topic or finished script | Yes | A topic becomes a 45â75 second script; a supplied script keeps its natural length. |
| Presenter image | Presenter routes | One clear adult presenter, with confirmed rights to use the image. Not needed for the styled explainer. |
| Voice sample | No | Used only with explicit cloning authorization; otherwise a stock voice is selected and recorded. |
| Supporting media | No | Screen recordings, images, B-roll, or brand assets, used where they prove or clarify a spoken point. |
| Delivery preferences | No | Platform, duration, aspect ratio, style, watermark, music, and call to action. |
## How it works
Presenter route:
```text
Topic or script + authorized portrait
â
âŧ
Lock script and full narration âââē narration becomes the master clock
â
âŧ
Low-cost presenter pilot
â
âŧ
Presenter generation (split at real pauses when a provider caps duration)
â
âŧ
Audio-driven edit: captions, keyword graphics, cover, close
â
âŧ
Technical and visual QA
â
âŧ
Master, share copy, contact sheet, and delivery report
```
Styled route:
```text
Topic or script âââē choose a style (menu + galleries, or drafts in the nine visual styles)
â
âŧ
Script written for the style âââē voice with word timestamps (or your own narration)
â
âŧ
Draft film from the style's starter: captions, chapters, closing line, recap, sound
â
âŧ
Storyboard âââē every line performed on screen, on its words
â
âŧ
QA (check, stillness, cover) âââē render âââē master, share copy, subtitles, delivery report
```
Each state requires evidence before a job may advance. `check_state.py` computes the state from the job's artifacts:
| State | Evidence required |
|---|---|
| `intake` | Job created |
| `content_locked` | Passing preflight report, script, beat sheet |
| `audio_locked` | Decodable final narration, ASR report |
| `visual_plan_locked` | Timeline, storyboard, approved plan |
| `presenter_generated` | Recorded presenter capability, selected video, visual review |
| `composition_checked` | Composition report |
| `rendered` | Decodable render with video and audio |
| `verified` | Master, share copy, and a delivery report with passing output loudness |
On the styled route, `audio_locked` also needs a voiced `story.json` (a `--dry` draft never counts), and
`presenter_generated` is reached by the performed film and its visual review instead of a presenter video.
## Requirements
- An Agent Skills harness, or any coding agent that can read files and run shell commands.
- Python 3.9+, FFmpeg with `ffprobe`, Bash, `jq`, `awk`, and `sed`.
- For the presenter route: access to at least one voice synthesis, presenter video generation, and lip-sync capability â a cloud CLI, an API, or a local model â and optionally a deterministic timeline compositor such as HyperFrames for captions, motion graphics, and final rendering.
- For the styled explainer: Node.js (HyperFrames runs with `npx`), `rsync`, Python with `numpy` (sound bed; point
`PYTHON` at it), and a MiniMax API key (`MINIMAX_API_KEY`) for the voice and its word timestamps â or your own
recorded narration.
## Installation
The repository directory is the skill. Clone it into your harness's skills directory and keep the folder name `lanshu-create-ai-presenter-video`, which the Agent Skills specification requires to match the skill `name`.
| Harness | Skills directory | Explicit invocation |
|---|---|---|
| Claude Code | `~/.claude/skills/` or project-level `.claude/skills/` | `/lanshu-create-ai-presenter-video` |
| Codex | `~/.codex/skills/` | `$lanshu-create-ai-presenter-video` |
| Other Agent Skills clients | See the client's documentation, linked from the [client list](https://agentskills.io/clients) | Client-specific |
For example, with Claude Code:
```bash
git clone https://github.com/cclank/lanshu-create-ai-presenter-video.git \
~/.claude/skills/lanshu-create-ai-presenter-video
```
Run `git pull` in the installed directory to update. If you use several harnesses, clone once into each skills directory.
Tagged versions and a ready-to-extract skill ZIP are available in [Releases](https://github.com/cclank/lanshu-create-ai-presenter-video/releases). See [CHANGELOG.md](CHANGELOG.md) for version history.
**Agents without Agent Skills support.** Clone the repository anywhere, then start the session with:
```text
Read /path/to/lanshu-create-ai-presenter-video/SKILL.md and follow its workflow exactly.
```
## Quick start
Most harnesses select the skill automatically from its description, so you can describe the video you want:
```text
Turn this script and portrait into a 30-second 16:9 presenter video with live captions.
```
For a styled explainer you don't need to know the styles yet â ask, and the agent shows the twelve with pictures and
recommends a few for your topic:
```text
Make a 40-second explainer about RAG, no presenter. Which styles are there?
```
Use the explicit invocation from the table above to guarantee selection. The skill works in the language of your request.
The agent runs the bundled scripts itself. To set up a job manually, point `SKILL_DIR` at your installation:
```bash
SKILL_DIR=~/.claude/skills/lanshu-create-ai-presenter-video
python3 "$SKILL_DIR/scripts/init_job.py" \
--job-dir ~/Videos/my-presenter-video \
--presenter-image ~/Pictures/presenter.png \
--topic "Context engineering in one minute" \
--duration 60 \
--aspect 9:16 \
--rights-confirmed \
--adult-presenter-confirmed
```
Complete the manual review and upload approvals in `job.json`, then run preflight:
```bash
python3 "$SKILL_DIR/scripts/preflight.py" ~/Videos/my-presenter-video/job.json
```
After each stage, record its artifacts in `job.json` and let the checker compute the state:
```bash
python3 "$SKILL_DIR/scripts/check_state.py" ~/Videos/my-presenter-video/job.json --write
```
A styled explainer by hand, from a job directory (`X=$SKILL_DIR/explainer`):
```bash
python3 "$SKILL_DIR/scripts/init_job.py" --job-dir . --route styled --explainer-style v8-chalkboard --topic "RAG in 40 seconds"
python3 "$X/tools/story.py" story # story/script.md â voice + word times â story/story.json
bash "$X/tools/new_film.sh" v8-chalkboard story film # a playable draft; perform each line in film/beats.js
python3 "$X/tools/qa.py" film qa/film # check, stillness, snapshots, cover
bash "$X/tools/render.sh" film rag outputs # master, share copy, subtitles
```
## Scripts
| Script | Purpose |
|---|---|
| `init_job.py` | Creates a self-contained job directory, copies all inputs into it, and records job-relative paths. |
| `preflight.py` | Validates inputs, manual review, and approvals; separates local errors from remote-generation blockers. |
| `plan_segments.py` | Splits the locked narration at real ASR pauses when a provider caps request or reference-audio duration. |
| `check_state.py` | Computes the evidence-backed production state and exits non-zero when the recorded state overclaims. |
| `finalize_delivery.sh` | Builds master and share encodes, verifies full decode, delivered loudness, and black or frozen frames, then publishes them with a contact sheet and report. |
## Explainer tools
Under `explainer/tools/`, used on the styled route:
| Tool | Purpose |
|---|---|
| `story.py` | `script.md` â MiniMax voice per line with the engine's word timestamps â `story.json`; `--audio` for your own narration, `--dry` for a silent draft, `--check` for the plan and estimated length. |
| `new_film.sh` / `new_topic.sh` | A playable film from a style's starter (or drafts in the nine visual styles at once). |
| `docs.py` | Script, beat sheet, timeline, and a storyboard table from the story. |
| `qa.py` | `hyperframes check`, snapshots at every chapter, stillness pairs, a cover frame, and a composition report. |
| `render.sh` | Render, finalize with `finalize_delivery.sh`, write subtitles (SRT); `DRAFT=1` makes a 720p review copy for a phone. |
| `srt.py`, `still_grid.py`, `fonts.py`, `sync.sh`, `stamp.py` | Subtitles, a 3Ã3 style comparison still, font subsets, and project plumbing. |
## Reference guides
The agent loads each guide only when it reaches the matching stage, which keeps context usage low.
| Guide | Covers |
|---|---|
| [`generation.md`](references/generation.md) | Intake, script and narration, capability selection, billing gates, segment planning, presenter prompts |
| [`editing.md`](references/editing.md) | Timeline contract, segment seams, openings and closes, captions, keyword graphics, preview and export |
| [`qa-recovery.md`](references/qa-recovery.md) | Acceptance gates and recovery playbooks for lip-sync, identity, seams, loudness, and remote tasks |
| [`styled-explainer.md`](references/styled-explainer.md) | The styled explainer route: story pipeline, style starters, performing scenes, and an optional method for adding a digital human |
| [`explainer/STYLES.md`](explainer/STYLES.md) | The style menu and gallery, common words â styles, and how to write the narration for each style |
| [`explainer/KITS.md`](explainer/KITS.md) | The kit contract, the aesthetic baseline, the starters, and the tools |
| [`explainer/GOTCHAS.md`](explainer/GOTCHAS.md) | HyperFrames pitfalls met while building the styles |
## Repository layout
```text
lanshu-create-ai-presenter-video/
âââ SKILL.md # Skill entry point: metadata and workflow
âââ README.md
âââ README.zh-CN.md
âââ agents/
â âââ openai.yaml # Codex display metadata; other harnesses ignore it
âââ assets/
â âââ job.template.json # Job manifest template
âââ references/ # Stage guides loaded on demand
âââ scripts/ # Job setup, gates, segment planning, delivery
âââ explainer/ # Styled explainer engine: core runtime, twelve style kits + starters, tools, examples
â âââ STYLES.md # Style chooser with the gallery
â âââ KITS.md # The kit contract and tools
â âââ kits// # One look per style, and starter/ = the film minus the topic
â âââ stories/ # Example scripts (KV cache) and a draft test story
â âââ examples/kv-cache/ # The finished KV cache film in each style
â âââ tools/ # story.py, new_film.sh, qa.py, render.sh, srt.py, âĻ
âââ tests/
âââ smoke.sh # End-to-end test with synthetic media
âââ explainer_smoke.sh # Styled route: intake, story, starter sync, state
```
## Defaults
| Setting | Default |
|---|---|
| Format | 9:16, 1080Ã1920, 30 fps (styled explainer: 16:9, 1920Ã1080, 30 fps) |
| Duration | 45â75 seconds from a topic; natural length for a supplied script |
| Voice | Stock voice unless an authorized sample is provided; styled route: MiniMax `Chinese (Mandarin)_Reliable_Executive`, speed set per style |
| Structure | Hook, 2â4 content beats, concise close |
| Music and call to action | Off unless requested |
| Loudness | â16 LUFS Âą0.5 LU, true peak ⤠â1 dBTP; override with `PROGRAM_LUFS` |
## Safety and cost controls
- Image rights and adult-presenter status are confirmed before any upload.
- Voice cloning requires explicit authorization, and a voice is never inferred from an image.
- Before the first paid call, the agent states the uploads, requested seconds, known price, pilot size, and retry ceiling.
- When a provider caps duration, the quote uses the total requested seconds from the segment plan.
- Interrupted remote tasks are polled by their saved task ID before any resubmission.
- Work stops after three rejected paid candidates, with a summary of the recurring failure and remaining options.
- On the styled route the only paid call is the voice â one call per line, cached, so an edit re-voices only that line; drafts in the nine visual styles cost nothing more.
## Privacy
- The repository contains no API keys, access tokens, signed URLs, or user media.
- Provider request records are stored without credentials or expiring URLs.
- Preflight and delivery reports store file names or job-relative paths only, never absolute machine paths.
- The styled explainer downloads font subsets from Google Fonts and jsDelivr (only the characters used); word timing
comes from the voice provider's own timestamps, so no speech model is installed; snapshots are taken with
`--describe false`, so frames stay local.
## Testing
The smoke test drives a synthetic job from `intake` to `verified` without calling any remote service. It requires FFmpeg, `jq`, and Python 3.9+:
```bash
bash tests/smoke.sh
bash tests/explainer_smoke.sh # styled explainer; also needs Node.js and rsync
```
CI runs metadata validation, a portability check, syntax checks for the explainer engine, and both smoke tests on every push and pull request.
## Contributing
Issues and pull requests are welcome. Reports from different harnesses and providers are especially valuable, as are improvements to the workflow, compatibility, and quality checks. To add another explainer style, follow the kit contract in [`explainer/KITS.md`](explainer/KITS.md) and the starter brief in [`explainer/STARTER-BRIEF.md`](explainer/STARTER-BRIEF.md).
## Author
Created and maintained by **å˛å (Lanshu)**. Follow on X for updates and new AI video workflows:
[](https://x.com/LufzzLiz)
## License
Released under the [MIT License](LICENSE). Fonts, libraries, and services the explainer engine uses are listed in [`explainer/THIRD_PARTY.md`](explainer/THIRD_PARTY.md).