Borrowing it
Nothing to install: this file belongs to mikeOnBreeze/cc-crossbeam. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mikeOnBreeze/cc-crossbeam/main/.claude/skills/product-demo-video/SKILL.mdgit clone --depth 1 https://github.com/mikeOnBreeze/cc-crossbeamWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/mikeonbreeze/cc-crossbeam/product-demo-video)<a href="https://agentmods.dev/skills/mikeonbreeze/cc-crossbeam/product-demo-video"><img src="https://agentmods.dev/badge/skills/mikeonbreeze/cc-crossbeam/product-demo-video/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mikeonbreeze/cc-crossbeam/product-demo-video"><img src="https://agentmods.dev/badge/skills/mikeonbreeze/cc-crossbeam/product-demo-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00048 | $0.01501 |
| Opus 5 | $0.00024 | $0.00750 |
| Sonnet 5 | $0.00010 | $0.00300 |
| Haiku 4.5 | $0.00005 | $0.00150 |
Grade A, and why
product-demo-video scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Demo Video
Generate 2-minute product demo videos for technical projects with parallel build options and structured critic review.
When to Use
- Demoing a GitHub repo, API, or technical product
- Need professional explainer video quickly
- Want multiple approach options (animated vs simple)
Workflow (7 Phases)
DISCOVERY → SCRIPT → PARALLEL BUILD → PARALLEL CRITICS → ITERATE → FINAL → DELIVER
│ │ │ │ │ │ │
5-10m 10-15m 30-60m 10-15m 0-3 loops gate ship it
Phase 1: Discovery
Clone and analyze the repo:
gh repo clone <owner/repo> /tmp/<repo>
Extract:
- What it does (1 sentence)
- Who it's for
- 3-5 key features
- Architecture/flow
- Visual assets (logos, diagrams)
Ask (or use defaults):
| Question | Default |
|---|---|
| Duration | 2 min |
| Audience | Mixed (tech + business) |
| Tone | Professional-conversational |
| Format | Animated explainer |
Phase 2: Script
Use references/script-template.md structure:
Scene 1: Hook (0:00-0:15) — Problem statement
Scene 2: Context (0:15-0:30) — Why this matters
Scene 3-5: Features (0:30-1:30) — 3 key capabilities, 20s each
Scene 6: Technical (1:30-1:50) — Architecture/credibility
Scene 7: CTA (1:50-2:00) — What to do next
Guidelines:
- 150 words/minute
- Max 20 words/sentence
- Active voice
- Concrete over vague
Phase 3: Parallel Build
Spawn 2 sub-agents to build options simultaneously:
// Option A: Remotion (animated)
sessions_spawn({
label: "demo-video-option-a",
task: `Build animated demo video using Remotion.
Script: [paste script]
Voice: Use ElevenLabs, voice ID CcEB0ARKH8qIyzh2I1OR
Output: /tmp/demo-video/option-a.mp4
Approach:
1. Generate voiceover per scene (ElevenLabs API)
2. Create Remotion project with scene components
3. Sync animations to audio timing
4. Render at 1080p 30fps`
})
// Option B: Slides + ffmpeg (simple)
sessions_spawn({
label: "demo-video-option-b",
task: `Build slide-based demo video.
Script: [paste script]
Voice: Use ElevenLabs, voice ID CcEB0ARKH8qIyzh2I1OR
Output: /tmp/demo-video/option-b.mp4
Approach:
1. Generate voiceover (ElevenLabs API)
2. Create slides with Puppeteer (HTML → PNG)
3. Combine with ffmpeg, sync to audio
4. Add simple transitions`
})
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 225 lines · 48 tokens per session scan A bf7f2be8de3c
product-demo-video is a skill published in the GitHub repository mikeOnBreeze/cc-crossbeam (291 stars, last pushed 6mo ago), licensed MIT. It adds 48 tokens to every session and 1,501 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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