Video Understand
calesthio/OpenMontage
Understand video content locally using ffmpeg frame extraction and Whisper transcription.
Trim, transcode, extract frames, add subtitles, and manipulate audio in video files using FFmpeg.
$ npx skills add lazyFrogLOL/Harness_Engineering --skill video-processing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering video-processing --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/video-processing .claude/skills/video-processing && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "video-processing" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/video-processing into .claude/skills/video-processing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-processing", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/video-processingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add lazyFrogLOL/Harness_Engineering --skill video-processing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering video-processing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/video-processing .agents/skills/video-processing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "video-processing" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/video-processing into .agents/skills/video-processing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-processing", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lazyFrogLOL/Harness_Engineering --skill video-processing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering video-processing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/video-processing .cursor/skills/video-processing && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "video-processing" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/video-processing into .cursor/skills/video-processing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-processing", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/lazyFrogLOL/Harness_Engineering.git --path skills/video-processing--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add lazyFrogLOL/Harness_Engineering --skill video-processing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering video-processing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/video-processing .gemini/skills/video-processing && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "video-processing" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/video-processing into .gemini/skills/video-processing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-processing", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install lazyFrogLOL/Harness_Engineering video-processingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add lazyFrogLOL/Harness_Engineering --skill video-processing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/video-processing .github/skills/video-processing && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "video-processing" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/video-processing into .github/skills/video-processing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-processing", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lazyFrogLOL/Harness_Engineering --skill video-processing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering video-processing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/video-processing .opencode/skills/video-processing && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "video-processing" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/video-processing into .opencode/skills/video-processing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-processing", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
video-processingTrim, transcode, extract frames, add subtitles, and manipulate audio in video files using FFmpeg.
Video Processing is an agent skill from lazyFrogLOL/Harness_Engineering. Trim, transcode, extract frames, add subtitles, and manipulate audio in video files using FFmpeg.
Its SKILL.md is about 720 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative, covering Transcription and Video production. It works with FFmpeg.
Read from SKILL.md and the folder at commit cae3b25. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
ffmpegffprobeFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Video Processing loads about 721 tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 82 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 82 words (~721 tokens).
“You are a video processing specialist using FFmpeg to manipulate video and audio files via command-line operations.”
Just SKILL.md in skills/video-processing of lazyFrogLOL/Harness_Engineering.
Open the folder on GitHubat commit cae3b25
Video Processing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Video Processing this skilllazyFrogLOL/Harness_Engineering | 128 | — | ~721 | Automated safety check: Pass | None | |
| Video Understandcalesthio/OpenMontage | 65k | — | ~841 | Automated safety check: Pass | AGPL-3.0 | |
| Karaoke CaptionsAI-Builder-Club/skills | 1.3k | — | ~850 | Automated safety check: Pass | None | |
| Ffmpegrendi-api/ffmpeg-cheatsheet | 1.7k | — | ~1.2k | Automated safety check: Pass | None | |
| AutoshortsUpload-Post/skill-autoshorts | 150 | — | ~5.3k | Automated safety check: Notes | MIT | |
| Stage EditOrkas-AI/Orkas-VideoStudio | 497 | — | ~2.4k | Automated safety check: Pass | MIT |
calesthio/OpenMontage
Understand video content locally using ffmpeg frame extraction and Whisper transcription.
AI-Builder-Club/skills
Generate TikTok/Shorts-style karaoke captions using MLX Whisper, ASS subtitles, and FFmpeg libass.
rendi-api/ffmpeg-cheatsheet
A skill your agent uses when the user asks for FFmpeg or FFprobe commands, video/audio conversion, trimming, resizing, padding, overlays, subtitles, thumbnails, GIFs, storyboards, slideshows…
Upload-Post/skill-autoshorts
Daily pipeline that picks one long video from a folder, transcribes it with Whisper, uses Gemini 3 Flash multimodal to find every viral short-form moment, cuts each candidate with FFmpeg, adds a…
Orkas-AI/Orkas-VideoStudio
Intelligent editing of real user-supplied footage—understand it with transcript/inspected-frame/scene/silence/quality evidence, then choose deterministic timeline operations or a constrained…
calesthio/OpenMontage
Download video and audio from YouTube and 1000+ sites using yt-dlp.
lazyFrogLOL/Harness_Engineering
Guidance for finding probability distributions that satisfy specific statistical constraints such as KL divergence targets, entropy requirements, or moment conditions.
lazyFrogLOL/Harness_Engineering
Guide for completing Coq proofs involving arithmetic properties like addition commutativity.
lazyFrogLOL/Harness_Engineering
This skill provides guidance for fitting peaks in Raman spectroscopy data, particularly for materials like graphene.
lazyFrogLOL/Harness_Engineering
Guide for analyzing chess positions from images and determining optimal moves.
lazyFrogLOL/Harness_Engineering
This skill provides guidance for cracking 7z archive password hashes.
lazyFrogLOL/Harness_Engineering
This skill provides guidance for FEAL cipher linear cryptanalysis tasks.
Works with
Categories
Trim, transcode, extract frames, add subtitles, and manipulate audio in video files using FFmpeg. Video Processing is an agent skill from lazyFrogLOL/Harness_Engineering. Trim, transcode, extract frames, add subtitles, and manipulate audio in video files using FFmpeg.
Video Processing fits situations like: tasks that involve Transcription; tasks that involve Video production.
Run `npx skills add lazyFrogLOL/Harness_Engineering --skill video-processing -a claude-code`. Or copy the skill folder (skills/video-processing in lazyFrogLOL/Harness_Engineering) into .claude/skills/video-processing in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lazyFrogLOL/Harness_Engineering --skill video-processing -a codex`. Or copy the skill folder (skills/video-processing in lazyFrogLOL/Harness_Engineering) into .agents/skills/video-processing in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lazyFrogLOL/Harness_Engineering --skill video-processing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/video-processing, .gemini/skills/video-processing, .github/skills/video-processing and .opencode/skills/video-processing in your project.
Going by SKILL.md and its folder, Video Processing needs the command-line tools its instructions call (ffmpeg and ffprobe).
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
No licence was found for Video Processing or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 721 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Video Processing: Video Understand (calesthio/OpenMontage, 65k stars), Karaoke Captions (AI-Builder-Club/skills, 1.3k stars), Ffmpeg (rendi-api/ffmpeg-cheatsheet, 1.7k stars) and Autoshorts (Upload-Post/skill-autoshorts, 150 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
lazyFrogLOL (a GitHub user) maintains it in lazyFrogLOL/Harness_Engineering, which has 128 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on May 18, 2026.
Source: lazyFrogLOL/Harness_Engineering on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.