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Wall Street Explainer Video Builder

An end-to-end pipeline for producing 1–3 minute Wall Street-style finance/tech explainer videos from real footage, news screenshots and a 2.5D graphics stage.

Image & VideoAdvanced★ 417⑂ 86AI score 8/10Last updated: Oct 26, 2026

What it does

  • Guides you through making a 1–3 minute, 16:9, host-free explainer where real people (keyed from actual footage), original news articles and official clips serve as evidence.
  • Enforces a gated 8-stage workflow — topic → script → director's table → sourcing → temp VO & timeline → three opening hooks → 720p full cut → final 1080p — stopping for your approval at each stage.
  • Ships a working toolchain: footage.py (search/download/contact sheet/scene cuts/frame extract), snap_news.mjs (clean article screenshots), matte.py + cleanup/despill scripts (GPU per-frame keying), temp_voice.py (edge-TTS timeline), render.mjs (deterministic frame rendering), motion_check.py (camera-motion audit), mix.py (-14 LUFS mix).
  • The real payload is the motion doctrine: the camera moves through layered depth to find the subject rather than letting elements animate themselves — the reason the output doesn't look like a slide deck or generic AI video. Deliberately no copy-paste shot templates.

Who it's for

  • Finance/tech explainer creators on YouTube and short-form platforms
  • Editors who want motion graphics built as code (HTML/JS rendered frame by frame)
  • Research or content teams turning market reports into video
  • Not for talking-head videos where a presenter appears on camera

Example uses

  1. "Make an explainer on how much Big Tech is burning on AI capex" — get three topic pitches, a script, a director's table, then 720p and finally 1080p.
  2. "Key out the CEO from this earnings clip and stand him in front of a giant number" — pull the segment with footage.py get, matte with matte.py, apply the horizontal push-swap move from moves.js.
  3. "My cut feels static like a slideshow" — run motion_check.py to compare frozen-frame time, hold counts and push/pull ratio against reference films, and use strip.py filmstrips to spot broken motion.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/HeyChengC/wallstreet-explainer/HEAD/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on AI Skill Mart.
Copy the SKILL.m folder from the GitHub repo HeyChengC/wallstreet-explainer into my ~/.claude/skills/wallstreet-explainer/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/HeyChengC/wallstreet-explainer.git ~/.claude/skills/wallstreet-explainer

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal and create the skills folder: mkdir -p ~/.claude/skills
  2. Clone the repo: git clone https://github.com/HeyChengC/wallstreet-explainer.git ~/.claude/skills/wallstreet-explainer
  3. Install base tools: ffmpeg, yt-dlp, Node.js and Python 3.
  4. Install Python deps: pip install edge-tts numpy opencv-python Pillow rembg (optional faster-whisper; onnxruntime-gpu for fast matting).
  5. Install Node deps inside the repo: npm install then npx playwright install chromium.
  6. Download the fonts listed in the README into the fonts/ directory.
  7. Restart Claude Code and say "use wallstreet-explainer to make a finance explainer" to trigger the skill.
  8. On your first run, stop at the 720p cut and review each stage's deliverable before rendering 1080p.
View source on GitHub ↗License: NOASSERTION