Agent skill

Reelclaw

by dansugc in dansugc/reelclaw

Create, produce, and publish UGC-style short-form video reels at scale.

No licenceAuto-check: notesMedia & Creative

Install Reelclaw

skills CLI
$ npx skills add dansugc/reelclaw --skill reelclaw -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install dansugc/reelclaw reelclaw --agent claude-code

Project 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/

Facts

Skill name
reelclaw
GitHub stars
145
Used in
1 other repo
Token cost
~8.2k tokens
SKILL.md length
2,487 words
Files
32 (incl. references, assets)
Skills in repo
2
Repo updated
First seen
Licence
None found

At a glance

Create, produce, and publish UGC-style short-form video reels at scale.

  • Works in 10 steps: Preflight Check (MANDATORY) → Source UGC Hooks from DanSUGC → Analyze & Split Demos with Gemini → …
  • Tasks that involve Video production
  • SKILL.md covers References, Workflow Triggers, Critical Rules and Step 0: Preflight Check…, plus 4 more sections
  • Runs Python and Shell scripts from its folder; calls ffmpeg, curl and python3; reaches dansugc.com and generativelanguage.googleapis.com; needs ELEVENLABS_API_KEY and GEMINI_API_KEY

What it does

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.

When your agent uses it

  • Tasks that involve Video production
  • Tasks that involve Influencer and creator marketing

Example prompts

  • “/reelclaw”

Requirements

  • Python 3
  • A Bash shell
  • A credential in GEMINI_API_KEY
  • A credential in ELEVENLABS_API_KEY

Workflow steps

10 steps, taken from the step headings in SKILL.md.

  1. Preflight Check (MANDATORY)
  2. Source UGC Hooks from DanSUGC
  3. Analyze & Split Demos with Gemini
  4. Assemble Reels
  5. Virality Score (Gemini Video Analysis)
  6. Publish via DanSUGC Posting
  7. Track Performance via DanSUGC Analytics Proxy
  8. Format Research — Find Viral Formats for Any Niche
  9. Hook Research — Find Winning Text Hooks
  10. Talking-Video Workflow (/talking-video)

What it can do on your machine

Read from SKILL.md and the folder at commit 140e866. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Ships script files (Python and Shell, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • ffmpeg
    • curl
    • python3
    • apt-get
    • brew
    • ffprobe
    • claude

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • dansugc.com
    • generativelanguage.googleapis.com
    • cufonfonts.com
    • aistudio.google.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • ELEVENLABS_API_KEY
    • GEMINI_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

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.

Always · name and description, kept in context so the agent knows when to use it
~85
When it runs · the whole SKILL.md, loaded when a task matches
~8.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~23k

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.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteRuns commands with sudoSKILL.md:83
    sudo apt-get update && sudo apt-get install -y ffmpeg

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.

SKILL.md

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.”

— opening of SKILL.md by dansugc
name
reelclaw
homepage
https://github.com/dansugc/reelclaw
metadata.tags
ugc, reels, tiktok, instagram, shorts, video-editing, ffmpeg, social-media, automation, dansugc, dansugc-posting

Read the full SKILL.md on GitHub

Files

SKILL.md and 31 other files (references, assets) in the repository root of dansugc/reelclaw.

  • SKILL.md
  • .agents/plugins/marketplace.json
  • .claude-plugin/marketplace.json
  • README-diy.md
  • README.md
  • assets/talking-video/build_talking_video.py
  • assets/talking-video/concepts_template.json
  • assets/talking-video/examples/pcos_example.mp4
  • assets/talking-video/examples/poster.jpg
  • codex/AGENTS.md
  • codex/config.toml
  • codex/install.sh
  • plugins/reelclaw
  • … and 19 more

Open the folder on GitHubat commit 140e866

Used in 1 other repository

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.

Compare with similar skills

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.

Reelclaw compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Reelclaw this skilldansugc/reelclaw1451 repos~8.2kAutomated safety check: NotesNone
Net New Video Editorericosiu/ai-marketing-skills3.6k—~1.1kAutomated safety check: PassMIT
AutoshortsUpload-Post/skill-autoshorts151—~5.3kAutomated safety check: NotesMIT
Ffmpeg Skillkajisho5/ffmpeg-skill1.9k—~7.4kAutomated safety check: PassMIT
ShortsAgriciDaniel/claude-shorts219—~3.2kAutomated safety check: NotesMIT
Watchmathiaschu/watch142—~4kAutomated safety check: WarnMIT

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More from dansugc/reelclaw

  • Reelclaw Ads

    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.

    145 GitHub stars~3.9k tokensUpdated 10 days ago
    Auto-check: notes

Questions about Reelclaw

What does Reelclaw do?

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.

When should I use Reelclaw?

Reelclaw fits situations like: tasks that involve Video production; tasks that involve Influencer and creator marketing.

How do I install Reelclaw in Claude Code?

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.

How do I install Reelclaw in Codex?

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.

Can I use Reelclaw in Cursor, Gemini CLI or GitHub Copilot?

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.

What does Reelclaw need to run?

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.

Does Reelclaw access the network?

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.

Is Reelclaw safe to install?

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.

What licence does Reelclaw use?

No licence was found for Reelclaw or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Reelclaw use?

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.

What are the alternatives to Reelclaw?

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.

Who maintains Reelclaw?

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.