A video-editing workflow that turns one raw talking-head clip into a vertical 9:16 social-media video with on-screen captions and an opening hook card.

Use it to make publishable reels from raw video. It transcribes speech locally, burns word-synced captions into the video, shows a hook card for the first 2.5 seconds, and exports at 1080×1920.

It removes the need to transcribe, crop, caption, and export the clip manually.

How waseemnasir2k26/reelforge configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to waseemnasir2k26/reelforge. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/waseemnasir2k26/reelforge/main/.claude/skills/reel/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/waseemnasir2k26/reelforge

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/waseemnasir2k26/reelforge/reel/github.svg)](https://agentmods.dev/skills/waseemnasir2k26/reelforge/reel)

Your own site

<a href="https://agentmods.dev/skills/waseemnasir2k26/reelforge/reel"><img src="https://agentmods.dev/badge/skills/waseemnasir2k26/reelforge/reel/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/waseemnasir2k26/reelforge/reel"><img src="https://agentmods.dev/badge/skills/waseemnasir2k26/reelforge/reel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 526 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00084	$0.00526
Opus 5.5	$0.00034	$0.00210
Sonnet 5.5	$0.00017	$0.00105
Haiku 4.5	$0.00008	$0.00053

Measured 2mo ago against content hash 469562be01bb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

reel 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 2mo 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.

.claude/skills/reel/SKILL.md · 52 lines

What it actually says

AI Auto-Edit Reel Pipeline (SkynetLabs)

You turn ONE raw take into a publish-ready reel. No timeline, no human editor.

When to use

User drops a raw vertical (or any) clip and wants it captioned + hook-carded automatically.

Steps

Deps: ensure ffmpeg is on PATH. Ensure faster-whisper installed (pip install -r requirements.txt if not).

Run:

python auto_reel.py "<clip>" --hook "<HOOK TEXT>" --sub "<SUBLINE>" --out reel.mp4

Verify: ffprobe the output → confirm 1080x1920 and sane duration.
Report the path and offer next step (schedule / caption pack).

What the script does

faster-whisper → word-level timestamps (local, $0)
builds an ASS subtitle track, 3 words per line, burned in
hook card (drawtext, semi-transparent box) for the first 2.5s
scale to 1080x1920 + center-crop to 9:16
export: h264_nvenc → falls back to libx264 if no GPU

Flags

--hook on-screen hook (default "THIS REEL EDITED ITSELF")
--sub gold subline (default "FULLY AI / ZERO HUMAN EDITOR")
--model whisper size tiny|base|small|medium (default base)
--hook-len seconds the hook card shows (default 2.5)
--wpl words per caption line (default 3)

Gotchas

Windows: the script runs ffmpeg from a temp dir so the subtitles= path needs no colon-escaping. Don't "fix" it to an absolute path.
No audio in clip → script exits early; that's correct.

Built by SkynetLabs — www.skynetjoe.com

Changes

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.

2mo ago First seen · 52 lines · 84 tokens per session scan A 469562be01bb

Subscribe to this mod's changes

reel is a skill published in the GitHub repository waseemnasir2k26/reelforge (8 stars, last pushed 6d ago), licensed MIT. It adds 84 tokens to every session and 526 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-31.

Claude Code Creative and media Marketing and SEO captions cli content-creation faster-whisper ffmpeg

video-editor

Use when professional video post-production using FFmpeg — color grading, audio design, kinetic typography, transitions, motion effects, captions, brand overlays, and platform-optimized export for promotional and marketing videos. Use when editing videos, adding captions, color grading, or creating promo content.

oyi77/1ai-skills · 59 tokens

podcli

Transcribe a podcast episode, shortlist clips, render shorts, and hand off titles and descriptions for publishing. Use when the user wants to process an episode, make clips, or drive podcli from an agent.

nmbrthirteen/podcli · 45 tokens

video-prep

Runs the tedious cleanup pass on raw video recordings before the real edit — cut silent gaps, transcribe subtitles in any language (auto-detected — English, Spanish, Mandarin, …), normalize speed, and stitch clips in natural numeric order. Use when the user drops recordings into a raw/ folder or asks to "clean up"…

lucyfengcl-art/video-prep · 131 tokens

moneyprinterturbo-video

Use this skill whenever the user wants to create a finished video from a topic, title, idea, prompt, or script with MoneyPrinterTurbo. This includes short-form, voice-over, educational, marketing, social-media, and stock-footage videos. Also use it when the user mentions MoneyPrinterTurbo, provides this Skill URL…

harry0703/MoneyPrinterTurbo · 123 tokens

claude-real-video

Watch a video for the user. Use when the user shares a video URL (YouTube etc.) or local video file and wants it summarized, analyzed, or discussed — Claude can't ingest video directly, so this skill extracts scene-aware keyframes + transcript first, then reads those.

HUANGCHIHHUNGLeo/claude-real-video · 61 tokens

remotion-video

Use when you need to render an actual video file with Remotion — React compositions, the Composition/Sequence/TransitionSeries graph, transitions, burned-in word-by-word captions from a transcript, automatic silence removal, b-roll overlays, headless CI renders, and a final MP4 or MOV. NOT writing the script, hook…

ericrisco/rsc-harness · 116 tokens

reelforge: Skill for Claude Code