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akshayDev17/ai-explainer-video

Turn a directory of coursework notes into a narrated, animated explainer-video series — an agent skill for…

Before you install: no copy-paste command · license MIT · link reachable

First step: Headless Chromium — npx playwright install --with-deps --only-shell.

View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
Client config (built from the install command this repo gives)
{
  "mcpServers": {
    "akshaydev17-ai-explainer-video": {
      "command": "npx",
      "args": ["playwright"]
    }
  }
}

Parsed from the README we fetched on 2026-11-01; we have not executed it.

command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
  "servers": {
    "akshaydev17-ai-explainer-video": {
      "command": "npx",
      "args": ["playwright"]
    }
  }
}
Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio akshaydev17-ai-explainer-video -- npx playwright
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
Star count
0 ★ · akshayDev17/ai-explainer-video · read from the GitHub search API · (checked 2026-11-13 20:00:50)
Source
read directly from its GitHub page · type: open-source project
Harvest history
first seen 2026-11-02 · last seen 2026-11-14 · seen 13× · listed by 3 sources
Score
score 303 · 3 sources · repo
Install
npx playwright
FAQ (answers come from our records)
How do I install it?
The repository provides this install command: npx playwright. It comes from the repository itself; we cannot guarantee it runs as-is in your client.
Who is it for?
We filed it under these tags: Agent 技能. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository akshayDev17/ai-explainer-video;first catalogued 2026-11-02;last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.

# explainer-video-from-coursework

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Turn a directory of structured coursework notes into a narrated, animated
explainer-video series.
A skill for AI coding agents — Claude Code, Codex, DeepSeek Harness and
Antigravity. Point it at a folder of course notes: it plans the series, writes
the narration, synthesizes the audio, authors the visuals, then renders and
assembles finished MP4s with YouTube-ready chapters and captions.
Its planner does not merely invent titles — it proves completeness: every
content-bearing section is assigned to a video or classified as navigation
(0 orphaned) before any expensive stage runs.
## The pipeline
Stage 0 (/inputs) collects the two things only you can decide — the source
notes directory, and where the finished videos land — plus, optionally, the playlist
name a series is published under (it is never guessed; a series left blank is asked about at 6b).
| # | stage | what it does | cost |
| 1 | /plan | decompose the notes, prove coverage | free, local |
| 2 | /enrich | retitle and curate (skip / merge) | free, agent |
| 3 | /script | write the narration segments | free, agent |
| 4 | /audio | TTS → a measured timeline | network — spends the Gemini key |
| 5 | /scene | author the visuals (diagram / code / svg) | free, agent |
| 6 | /publish | YouTube chapters + captions | free — no TTS, no Chromium |
| 6b | /thumbnail | a 1280x720 thumbnail.png: one hook over a still from the video's own scenes, plus a -Part X, label for a series | free — one Chromium screenshot |
| 7 | /render | frames → H.264 MP4 | local CPU |
| 8 | /assemble | per-segment parts → the finished cut | local CPU |
Stages 1–2 run once for the whole directory; stages 3–8 run once per video. One
video end to end is a valid stopping point — a pilot, or a single-target run.
## Install
Claude Code
sh
claude plugin marketplace add akshayDev17/ai-explainer-video
claude plugin install explainer-video-from-coursework@akshaydev17
Codex
sh
codex plugin marketplace add akshayDev17/ai-explainer-video
codex plugin add explainer-video-from-coursework@akshaydev17
DeepSeek Harness
sh
dsh plugin --profile web add explainer-video-from-coursework
Antigravity
sh
agy plugin install https://github.com/akshayDev17/ai-explainer-video
All four commands install the same npm package — one package, three manifest surfaces,
one copy of all seventeen skills: the eleven video skills, coursework-author, the companion
skill for writing the coursework these videos come from, and the five code-flow skills:
explainer-video-from-codebase, which makes explainer videos of a codebase's major code flows
(Python, TypeScript / JavaScript, Go, C, C++, or a mix), and its four stage skills. It mines the
repo, ranks candidate flows, optionally traces the test suite in a sandbox, has you approve the
flow list, plans the videos, then runs the same per-video stages with verified code panels and
generated flow diagrams. How each platform reads it, and how
to publish, is in
DISTRIBUTION.md.
## Prerequisites
Node ≥ 22 — render.mjs relies on the built-in global WebSocket.
ffmpeg + ffprobe — H.264 encoding, muxing, and duration measurement.
Headless Chromium — npx playwright install --with-deps --only-shell.
Listed badge (optional)
Copy this line into the README if you want the listing mark. Optional, and it does not affect being listed.
[![Listed on Anclum](https://anclum.com/badge/listed.svg)](https://anclum.com/en/s/akshaydev17-ai-explainer-video/)
Source
github · https://github.com/akshayDev17/ai-explainer-video
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