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reelbench-skills

From public sources

Learning notes and tooling skills for AI video - AI 视频相关的学习与工具 skill

AI skillCategory: AI Skills · Motion & video · Skill collectionsOpen sourcedata checked Oct 16, 2026
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Overview

  • ai-video
  • claude-skills
  • ffmpeg
  • shot-analysis
  • video-analysis

Installation

Commands are shown, never run by the marketplace. Check them against the official documentation.

Compatibility

Unknown means no evidence was found — not that the product is incompatible.
PlatformStatusArchitectureEvidenceConfidence
Claude CodeUnknown———
Claude (web & desktop)Unknown———
OpenAI CodexUnknown———
ChatGPTUnknown———
CursorUnknown———
GitHub CopilotUnknown———
Gemini CLIUnknown———

Releases

checked Oct 30, 2026
No releases found on the source.

Quality profile

algorithm quality-v1.0 · assessed Oct 16, 2026
Quality Score76
Risk Score0
Confidence 1.00
Quality Score and Risk Score are different measures. A high score does not guarantee safety.

Score components

Maintenance · 2020
last activity 6 days ago
Documentation · 1515
README 5200 chars, description present
Ready to use · 159
install instructions: yes; releases: no
Metadata · 108
3/4 of description, homepage, license, topics
Releases · 102
0 release(s)
Category confidence · 105
classifier confidence 0.5
Adoption · 107
906 stars (log-dampened, 10k = max)
License clarity · 55
SPDX Apache-2.0
Community · 55
issues enabled, 111 forks

License

Apache-2.0
Known licensefrom the repository host

This is the catalog policy status, not legal advice.

Sources

github.com/eternityspring/reelbench-skillsPrimary★ 906 starslast activity Oct 9, 2026Primary repository · Confidence 1.00

Reviews

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README

From eternityspring/reelbench-skills · license Apache-2.0 · fetched Oct 30, 2026

reelbench-skills

Claude Code / Codex skills for working with video.

English | 中文 | Telegram @ahao_dev | X @eternityspring

Skills · Install · Example · What it looks like

❤️ Sponsor

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Skills

skillwhat it does
video-shotsShot breakdown: turns a finished film into a shot-by-shot table — duration, shot size, category, camera move, frame description, rhythm role. Cuts and durations are measured by ffmpeg; the model only judges what it should; 15 quality gates check every call.
video-syncComposites a video with the shot data alongside it: footage on one side, the current shot's data on the other, switching at every cut with the list scrolling and highlighting itself. Landscape stacks, portrait sits side by side; the layout is one CSS file.
video-scrubStrips metadata: rebuilds the film as a clean file carrying only picture and sound — GPS, device, account IDs and telemetry tracks all left behind. The hard part is the three layers ffprobe cannot see: SEI, the AAC DSE, and compressorname. Byte-for-byte picture by default, verified by 12 byte-level gates.

AI video community

I run a paid group about AI video — workflows, tools, and how this stuff actually gets done.

Interested? Message me on Telegram @ahao_dev and mention github.

Install

git clone https://github.com/eternityspring/reelbench-skills.git
cd reelbench-skills
./scripts/install.sh

This symlinks the skills into ~/.claude/skills/ and/or ~/.codex/skills/ (whichever exists), so git pull takes effect immediately.

./scripts/install.sh --claude      # Claude Code only
./scripts/install.sh --codex       # codex only
./scripts/install.sh video-shots   # one skill only
./scripts/install.sh --uninstall   # remove the symlinks

Requirements: node >= 18 and ffmpeg / ffprobe (macOS: brew install node ffmpeg). No npm dependencies, no API keys — it runs on your current session.

Prefer a copy over a symlink? cp -r skills/video-shots ~/.claude/skills/ — each skill is self-contained.

Example

demo-report/ is the real output of running the skill on demo-video.mp4 (a 202.9-second AI-generated short film, 啥是AI): 53 shots, 3.83 s average shot length, 15.7 cuts per minute, all 15 gates green. demo-report-en/ is the same pipeline run on a 287.4-second English excerpt with --lang en — an entirely English report: 46 shots, 6.25 s average, and one 46.92 s take that scene detection never cut, because it genuinely never cuts.

[Shot breakdown report]

The report is a single interactive page: an embedded player (playback highlights the current shot, click a shot to jump), a pace strip, a shot list you can search, filter and sort (list or card view, first and last keyframe side by side, click a frame to enlarge), distributions, cast, and the quality gates. No external dependencies — double-click it offline.

demo-report/
├── shots-report.html   ← clone and double-click
├── shots.json          ← the breakdown data for all 53 shots
├── shots.md            ← Markdown shot list
├── track.json          ← frame-difference motion curve (the machine's evidence)
└── frames/             ← first and last keyframe of every shot, 106 files

demo-scrub/ is what video-scrub produces — four pieces of text and no video, because its output looks exactly like the source, which is the whole point. What is worth reading is the reconciliation, above all half.txt: the textbook recipe leaves ffprobe looking spotless while the bitstream still carries x264's encoder-settings SEI in 4 places and the AAC DSE in 8 — no ffprobe command shows either of them.

What video-sync produces is at the bottom of this page — as a video, not a screenshot.

What it looks like

A 287.4-second English excerpt with its 46-shot breakdown, 1280×1296 (the source is 640×360, blown up with --scale 2). The panel switches with every cut; the list scrolls up and the highlight rides along:

If the player does not load, grab the file: demo-sync/demo-en-sync.mp4

Open the repository ↗