Net New Video Editor
ericosiu/ai-marketing-skills
Turn newly recorded talking-head footage into review-ready vertical video drafts with an explicit edit plan, deterministic FFmpeg rendering, captions, hook cards, audio normalization, and visual QA.
Create, produce, and publish UGC-style short-form video reels at scale.
$ npx skills add dansugc/reelclaw --skill reelclaw -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install dansugc/reelclaw reelclaw --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
Claude Code skills documentation · loads skills from .claude/skills/
Install the "reelclaw" agent skill from https://github.com/dansugc/reelclaw/tree/main into .claude/skills/reelclaw/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reelclaw", 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.
$ npx skills add dansugc/reelclaw --skill reelclaw -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install dansugc/reelclaw reelclaw --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "reelclaw" agent skill from https://github.com/dansugc/reelclaw/tree/main into .agents/skills/reelclaw/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reelclaw", 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 dansugc/reelclaw --skill reelclaw -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install dansugc/reelclaw reelclaw --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "reelclaw" agent skill from https://github.com/dansugc/reelclaw/tree/main into .cursor/skills/reelclaw/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reelclaw", 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.
$ npx skills add dansugc/reelclaw --skill reelclaw -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install dansugc/reelclaw reelclaw --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "reelclaw" agent skill from https://github.com/dansugc/reelclaw/tree/main into .gemini/skills/reelclaw/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reelclaw", 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 dansugc/reelclaw reelclawInstalls 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 dansugc/reelclaw --skill reelclaw -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "reelclaw" agent skill from https://github.com/dansugc/reelclaw/tree/main into .github/skills/reelclaw/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reelclaw", 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 dansugc/reelclaw --skill reelclaw -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install dansugc/reelclaw reelclaw --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "reelclaw" agent skill from https://github.com/dansugc/reelclaw/tree/main into .opencode/skills/reelclaw/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reelclaw", 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.
reelclawCreate, produce, and publish UGC-style short-form video reels at scale.
Reelclaw is an agent skill from dansugc/reelclaw. Create, produce, and publish UGC-style short-form video reels at scale. Full pipeline: source UGC reaction hooks from DanSUGC, analyze app demos with Gemini AI, assemble reels with ffmpeg, publish via DanSUGC Posting (TikTok + Instagram), track performance and research viral formats/hooks via DanSUGC's built-in analytics proxy.
Its SKILL.md is about 8.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 39 other files, including reference files and assets (for example `.agents/plugins/marketplace.json`, `.claude-plugin/marketplace.json` and `README-diy.md`).
It sits in Media & Creative, covering Video production and Influencer and creator marketing. It works with FFmpeg, TikTok and Instagram. The repository describes itself as: UGC reel production engine for AI coding agents. Create scroll-stopping short-form videos at scale.
10 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 140e866. 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.
Ships script files (Python and Shell, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
ffmpegcurlpython3apt-getbrewffprobeclaudeFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
dansugc.comgenerativelanguage.googleapis.comcufonfonts.comaistudio.google.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
ELEVENLABS_API_KEYGEMINI_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Reelclaw loads about 8.2k tokens when it runs, and up to ~23k if it reads all its reference files. Until then it costs about 85 tokens; SKILL.md has 2,487 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 noted patterns worth knowing about, such as sudo or a known installer.
sudo apt-get update && sudo apt-get install -y ffmpegAutomated 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 2,487 words (~8,243 tokens).
“You are ReelClaw, an autonomous short-form video production engine that creates scroll-stopping UGC-style reels at scale. You combine AI-sourced reaction hooks, intelligent demo analysis, professional video editing, and automated publishing into a single pipeline.”
SKILL.md and 31 other files (references, assets) in the repository root of dansugc/reelclaw.
Open the folder on GitHubat commit 140e866
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in dansugc/reelclaw, which our catalogue first saw on October 7, 2026.
Reelclaw 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 |
|---|---|---|---|---|---|---|
| Reelclaw this skilldansugc/reelclaw | 145 | 1 repos | ~8.2k | Automated safety check: Notes | None | |
| Net New Video Editorericosiu/ai-marketing-skills | 3.6k | — | ~1.1k | Automated safety check: Pass | MIT | |
| AutoshortsUpload-Post/skill-autoshorts | 151 | — | ~5.3k | Automated safety check: Notes | MIT | |
| Ffmpeg Skillkajisho5/ffmpeg-skill | 1.9k | — | ~7.4k | Automated safety check: Pass | MIT | |
| ShortsAgriciDaniel/claude-shorts | 219 | — | ~3.2k | Automated safety check: Notes | MIT | |
| Watchmathiaschu/watch | 142 | — | ~4k | Automated safety check: Warn | MIT |
ericosiu/ai-marketing-skills
Turn newly recorded talking-head footage into review-ready vertical video drafts with an explicit edit plan, deterministic FFmpeg rendering, captions, hook cards, audio normalization, and visual QA.
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…
kajisho5/ffmpeg-skill
Edit video and audio with local FFmpeg from natural-language requests: cut, trim, join, resize/reframe (9:16, 1:1), speed change, captions and subtitles (SRT/ASS, animated, karaoke), logos and text…
AgriciDaniel/claude-shorts
Interactive longform-to-shortform video creator. An agent skill from AgriciDaniel/claude-shorts.
mathiaschu/watch
Watch a video from YouTube, Instagram, X/Twitter, Vimeo, TikTok or any of ~1800 yt-dlp sites (or a local path).
fabricioctelles/skills
Produce a short motion-graphics video ad — a 15s Facebook/Instagram/TikTok spot — as a rendered MP4.
dansugc/reelclaw
Make short-form UGC video ads (TikTok, Reels, Shorts) for the product in the current repo with DansUGC ReelClaw and real human creator reactions from the DansUGC library.
Categories
Create, produce, and publish UGC-style short-form video reels at scale. Reelclaw is an agent skill from dansugc/reelclaw. Create, produce, and publish UGC-style short-form video reels at scale.
Reelclaw fits situations like: tasks that involve Video production; tasks that involve Influencer and creator marketing.
Run `npx skills add dansugc/reelclaw --skill reelclaw -a claude-code`. Or copy the skill folder (the dansugc/reelclaw repository) into .claude/skills/reelclaw in your project. Claude Code loads it when a task matches its description.
Run `npx skills add dansugc/reelclaw --skill reelclaw -a codex`. Or copy the skill folder (the dansugc/reelclaw repository) into .agents/skills/reelclaw 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 dansugc/reelclaw --skill reelclaw -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/reelclaw, .gemini/skills/reelclaw, .github/skills/reelclaw and .opencode/skills/reelclaw in your project.
Going by SKILL.md and its folder, Reelclaw needs Python and a shell for the scripts in its folder, the command-line tools its instructions call (ffmpeg, curl, python3, apt-get, brew and ffprobe) and credentials named ELEVENLABS_API_KEY and GEMINI_API_KEY. Our summary lists: Python 3; A Bash shell; A credential in GEMINI_API_KEY; A credential in ELEVENLABS_API_KEY.
SKILL.md names 4 domains. In commands or code: dansugc.com, generativelanguage.googleapis.com, cufonfonts.com and aistudio.google.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (runs commands with sudo), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
No licence was found for Reelclaw or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 8.2k tokens (SKILL.md is roughly 33k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 14k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Reelclaw: Net New Video Editor (ericosiu/ai-marketing-skills, 3.6k stars), Autoshorts (Upload-Post/skill-autoshorts, 151 stars), Ffmpeg Skill (kajisho5/ffmpeg-skill, 1.9k stars) and Shorts (AgriciDaniel/claude-shorts, 219 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
dansugc (a GitHub organization) maintains it in dansugc/reelclaw, which has 145 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on September 28, 2026.
Source: dansugc/reelclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.