Agent skill

Reelclaw

by LeoYeAI in LeoYeAI/openclaw-master-skills

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

MITAuto-check: notesMedia & Creative

Install Reelclaw

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill reelclaw -a claude-code

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

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills 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).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/reelclaw .claude/skills/reelclaw && rm -rf skills-src

Use ~/.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/

Facts

Skill name
reelclaw
GitHub stars
2.2k
Token cost
~5.4k tokens
SKILL.md length
1,412 words
Files
5 (incl. references)
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 8 steps: Preflight Check (MANDATORY) → Source UGC Hooks from DanSUGC → Analyze & Split Demos with Gemini → …
  • Tasks that involve Video production
  • SKILL.md covers References, Critical Rules, Step 0: Preflight Check… and Step 1: Source UGC Hooks from…, plus 3 more sections
  • Calls ffmpeg, curl and python3; reaches generativelanguage.googleapis.com and dansugc.com; needs GEMINI_API_KEY

What it does

Reelclaw is an agent skill from LeoYeAI/openclaw-master-skills. Create, produce, and schedule 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 Post-Bridge, track performance and research viral formats/hooks via DanSUGC's built-in analytics proxy.

Its SKILL.md is about 5.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `_meta.json`, `references/ffmpeg-patterns.md` and `references/green-zone.md`).

It sits in Media & Creative, covering Video production and Influencer and creator marketing. It works with FFmpeg, TikTok and Model Context Protocol. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

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

Example prompts

  • “/reelclaw”

Requirements

  • Python 3
  • A credential in GEMINI_API_KEY

Workflow steps

8 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. Publish via Post-Bridge
  6. Track Performance via DanSUGC Analytics Proxy
  7. Format Research — Find Viral Formats for Any Niche
  8. Hook Research — Find Winning Text Hooks

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. 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

    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:

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

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

  • Credentials

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

    • GEMINI_API_KEY

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

Context cost

Reelclaw loads about 5.4k tokens when it runs, and up to ~9.7k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 1,412 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~5.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~9.7k

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:62
    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

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 1,412 words, ~5,367 tokens.

Download SKILL.mdSave it as .claude/skills/reelclaw/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
reelclaw
description
Create, produce, and schedule 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 Post-Bridge, track performance and research viral formats/hooks via DanSUGC's built-in analytics proxy.
homepage
https://github.com/dansugc/reelclaw
metadata.tags
ugc, reels, tiktok, shorts, video-editing, ffmpeg, social-media, automation, dansugc, post-bridge

ReelClaw — UGC Reel Production Engine

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.

The Pipeline:

DanSUGC (hooks + analytics) + Demos (analyzed by Gemini) + Text + Music
    | FFmpeg Assembly
    | Post-Bridge Scheduling
    | DanSUGC Analytics Proxy (tracking)
    | Replicate Winners

References

Load these reference files when you need detailed specs for each area:

  • references/tools-setup.md — How to set up DanSUGC, Post-Bridge, and Gemini
  • references/green-zone.md — Platform safe areas and text positioning specs
  • references/ffmpeg-patterns.md — All ffmpeg commands for trimming, scaling, text, concat, music
  • references/virality.md — Duration rules, hook writing, caption formulas, output specs

Critical Rules

  1. MAX 15 SECONDS per reel — non-negotiable for virality
  2. ALL text MUST use TikTok Sans font — no exceptions
  3. ALL text MUST be in the Green Zone — never in platform UI areas
  4. ONE video per ONE account — never schedule the same video to multiple accounts
  5. Always run Preflight (Step 0) first — verify all tools before work
  6. Always use Gemini 3.1 Flash Lite for video intelligence — model: gemini-3.1-flash-lite-preview
  7. Never expose API keys in output — redact in logs, never print full keys
  8. Purchase videos from DanSUGC before downloading — users must purchase clips via the MCP tool before getting download URLs

Step 0: Preflight Check (MANDATORY)

Run this EVERY time before doing any work. Check all tools, fonts, and MCP connections.

0a. FFmpeg & FFprobe
bash
if command -v ffmpeg &>/dev/null; then
  echo "ffmpeg: OK ($(ffmpeg -version 2>&1 | head -1))"
else
  echo "ffmpeg: MISSING — installing..."
  if command -v brew &>/dev/null; then
    brew install ffmpeg
  elif command -v apt-get &>/dev/null; then
    sudo apt-get update && sudo apt-get install -y ffmpeg
  else
    echo "ERROR: Install ffmpeg manually"; exit 1
  fi
fi
command -v ffprobe &>/dev/null && echo "ffprobe: OK" || echo "ffprobe: MISSING"
0b. TikTok Sans Font

TikTok Sans is TikTok's official open-source font (SIL Open Font License 1.1). Required for all text overlays.

bash
if [ -f "$HOME/Library/Fonts/TikTokSansDisplayBold.ttf" ] || [ -f "/usr/share/fonts/TikTokSansDisplayBold.ttf" ] || [ -f "$HOME/.local/share/fonts/TikTokSansDisplayBold.ttf" ]; then
  echo "TikTok Sans: OK"
else
  echo "TikTok Sans: MISSING — installing..."
  if [[ "$(uname)" == "Darwin" ]]; then
    FONT_DIR="$HOME/Library/Fonts"
  else
    FONT_DIR="$HOME/.local/share/fonts"
  fi
  mkdir -p "$FONT_DIR"
  cd /tmp
  curl -L -o tiktoksans.zip "https://www.cufonfonts.com/download/font/tiktok-sans"
  unzip -o tiktoksans.zip -d tiktoksans_extracted
  cp tiktoksans_extracted/TikTokSans*.ttf "$FONT_DIR/"
  rm -rf tiktoksans_extracted tiktoksans.zip
  command -v fc-cache &>/dev/null && fc-cache -f "$FONT_DIR"
  echo "TikTok Sans: installed to $FONT_DIR"
fi
0c. MCP Connections

Verify required MCP servers are connected. If missing, load references/tools-setup.md for setup instructions.

Required MCP Servers:
  dansugc     — mcp__dansugc__search_videos (UGC reaction hooks + analytics proxy)
  post-bridge — mcp__post-bridge__list_social_accounts (publishing)
0d. Gemini API Key
bash
if [ -n "$GEMINI_API_KEY" ]; then
  echo "Gemini API: OK (key set)"
else
  echo "Gemini API: MISSING — set GEMINI_API_KEY environment variable"
  echo "Get your key at: https://aistudio.google.com/apikey"
fi
0e. Preflight Summary
bash
echo "=== REELCLAW PREFLIGHT ==="
echo "ffmpeg:      $(command -v ffmpeg &>/dev/null && echo 'OK' || echo 'MISSING')"
echo "ffprobe:     $(command -v ffprobe &>/dev/null && echo 'OK' || echo 'MISSING')"
FONT_OK="MISSING"
for dir in "$HOME/Library/Fonts" "$HOME/.local/share/fonts" "/usr/share/fonts"; do
  [ -f "$dir/TikTokSansDisplayBold.ttf" ] && FONT_OK="OK" && break
done
echo "TikTok Sans: $FONT_OK"
echo "Gemini API:  $([ -n \"$GEMINI_API_KEY\" ] && echo 'OK' || echo 'MISSING')"
echo "============================="

All must show OK before proceeding.


Step 1: Source UGC Hooks from DanSUGC

Search for reaction clips matching your content's emotional tone. The best hooks are emotionally charged reactions.

Emotion Categories (ranked by engagement)
EmotionBest ForSearch Terms
ShockedSurprising reveals, statsshocked surprised reaction
Crying/TearsEmotional stories, relatable paincrying sad tears emotional
FrustratedProblem-agitate-solve contentfrustrated overwhelmed stressed
AngryInjustice, call-to-actionangry upset outraged
Happy/ExcitedWins, positive outcomeshappy excited celebrating
ConfusedEducational content, myth-bustingconfused puzzled thinking
Search Strategy

Use semantic search for best results:

mcp__dansugc__search_videos(semantic_search="shocked woman reacting to phone screen")
mcp__dansugc__search_videos(emotion="shocked", gender="female", limit=10)
mcp__dansugc__search_videos(semantic_search="crying emotional reaction", min_virality=75)
Purchase & Download Workflow
  1. Search for matching clips
  2. Review results — check duration, emotion, virality score
  3. Check balance with mcp__dansugc__get_balance
  4. Purchase selected clips with mcp__dansugc__purchase_videos
  5. Download using the URLs returned from purchase
bash
curl -L -o hook-clip.mp4 "DOWNLOAD_URL_FROM_PURCHASE"
Hook Selection Rules
  • Duration: Prefer clips 5-14 seconds (will be trimmed to ~5s)
  • Virality score: Prefer 70+ for proven engagement
  • Emotion match: Match the hook emotion to the text overlay emotion
  • Vertical preferred: 1080x1920 clips need no cropping
  • Landscape OK: Will be center-cropped to vertical

Step 2: Analyze & Split Demos with Gemini

Use Gemini 3.1 Flash Lite to analyze app demo recordings and extract the best segments.

2a. Extract Keyframes
bash
ffmpeg -y -hide_banner -loglevel error \
  -i "DEMO.mp4" \
  -vf "fps=1/5,scale=540:-1" \
  "keyframes/frame_%03d.jpg"
2b. Gemini Video Analysis
bash
# Direct video upload to Gemini (preferred)
FILE_URI=$(curl -s -X POST \
  "https://generativelanguage.googleapis.com/upload/v1beta/files?key=$GEMINI_API_KEY" \
  -H "X-Goog-Upload-Command: start, upload, finalize" \
  -H "X-Goog-Upload-Header-Content-Type: video/mp4" \
  -H "Content-Type: video/mp4" \
  --data-binary @"DEMO.mp4" | python3 -c "import sys,json; print(json.load(sys.stdin)['file']['uri'])")

curl -s "https://generativelanguage.googleapis.com/v1beta/models/gemini-3.1-flash-lite-preview:generateContent?key=$GEMINI_API_KEY" \
  -H "Content-Type: application/json" \
  -d "{
    \"contents\": [{
      \"parts\": [
        {\"text\": \"Analyze this app demo. Identify the best 7-9 second clips and 20-30 second segments for speed-up. Return JSON array with: {name, start_sec, end_sec, type: 'short'|'speedup', description}\"},
        {\"file_data\": {\"file_uri\": \"$FILE_URI\", \"mime_type\": \"video/mp4\"}}
      ]
    }],
    \"generationConfig\": {\"temperature\": 0.2, \"response_mime_type\": \"application/json\"}
  }"
2c. Auto-Cut Clips

For detailed ffmpeg patterns for trimming, scaling, speed-up, and concat, load ./references/ffmpeg-patterns.md.

Short clips (natural speed, 7-9s):

bash
VF="scale=1080:1920:force_original_aspect_ratio=decrease,pad=1080:1920:(ow-iw)/2:(oh-ih)/2:color=black,fps=30"

ffmpeg -y -hide_banner -loglevel error \
  -i "DEMO.mp4" -ss START -to END \
  -vf "$VF" -an \
  -c:v libx264 -preset fast -crf 18 -movflags +faststart \
  "clips/short/CLIP_NAME.mp4"

Speed-up clips (20-30s source -> 7-9s output) — MUST use two-pass:

bash
# Pass 1: Trim segment
ffmpeg -y -hide_banner -loglevel error \
  -i "DEMO.mp4" -ss START -to END \
  -c copy "/tmp/segment.mp4"

# Pass 2: Speed up + scale (e.g., 30s -> 8.5s = setpts=0.283*PTS)
ffmpeg -y -hide_banner -loglevel error \
  -i "/tmp/segment.mp4" \
  -vf "setpts=0.283*PTS,$VF" -an \
  -c:v libx264 -preset fast -crf 18 -movflags +faststart \
  "clips/speedup/CLIP_NAME.mp4"
2d. Build Clip Library
project/
  clips/
    short/          # 7-9s natural speed clips
    speedup/        # 7-9s sped-up clips
  hooks/            # Downloaded UGC reaction clips
  finals/           # Completed reels
  music/            # Audio tracks
  clip-manifest.md  # Index of all clips with descriptions

Step 3: Assemble Reels

Combine hooks + demos + text + music into 15-second reels.

3a. The 15-Second Formula
Hook clip:    ~5 seconds  (UGC reaction — attention grabber)
Demo clip:    ~10 seconds (app demo — the product showcase)
Total:         15 seconds MAX
3b. Prepare Hook Clip

Landscape source (center crop):

bash
ffmpeg -y -hide_banner -loglevel error \
  -i "hook.mp4" -ss 1 -to 6 \
  -vf "scale=1080:1920:force_original_aspect_ratio=increase,crop=1080:1920,setsar=1,fps=30" \
  -an -c:v libx264 -preset fast -crf 18 -movflags +faststart \
  "hook-trimmed.mp4"

Vertical source (scale + pad):

bash
ffmpeg -y -hide_banner -loglevel error \
  -i "hook.mp4" -ss 1 -to 6 \
  -vf "scale=1080:1920:force_original_aspect_ratio=decrease,pad=1080:1920:(ow-iw)/2:(oh-ih)/2:color=black,setsar=1,fps=30" \
  -an -c:v libx264 -preset fast -crf 18 -movflags +faststart \
  "hook-trimmed.mp4"
3c. Concatenate Hook + Demo
bash
cat > /tmp/concat.txt << EOF
file 'hook-trimmed.mp4'
file 'demo-trimmed.mp4'
EOF

ffmpeg -y -hide_banner -loglevel error \
  -f concat -safe 0 -i /tmp/concat.txt \
  -c:v libx264 -preset fast -crf 18 -movflags +faststart \
  "reel-notext.mp4"
3d. Add Text Overlays

ALL text must use TikTok Sans and be placed within the Green Zone. For full specs, load ./references/green-zone.md.

For text WITH apostrophes — use textfile= to avoid escaping issues:

bash
printf "When nothing's wrong" > /tmp/hook_line1.txt

ffmpeg -y -hide_banner -loglevel error -i "reel-notext.mp4" \
  -vf "drawtext=textfile=/tmp/hook_line1.txt:\
    fontfile=$HOME/Library/Fonts/TikTokSansDisplayBold.ttf:\
    fontsize=64:fontcolor=white:borderw=4:bordercolor=black:\
    x=(60+(900-text_w)/2):y=310:\
    enable='between(t,0,4.5)'" \
  -c:v libx264 -preset fast -crf 18 -c:a copy -movflags +faststart \
  "reel-text.mp4"

For text WITHOUT apostrophes — use inline text=:

bash
ffmpeg -y -hide_banner -loglevel error -i "reel-notext.mp4" \
  -vf "drawtext=text='All this worrying':\
    fontfile=$HOME/Library/Fonts/TikTokSansDisplayBold.ttf:\
    fontsize=64:fontcolor=white:borderw=4:bordercolor=black:\
    x=(60+(900-text_w)/2):y=310:\
    enable='between(t,0,4.5)'" \
  -c:v libx264 -preset fast -crf 18 -c:a copy -movflags +faststart \
  "reel-text.mp4"

Escape colons in drawtext with \\: (e.g., "10\:00 AM").

3e. Add Music
bash
ffmpeg -y -hide_banner -loglevel error \
  -i "reel-text.mp4" -i "track.mp3" \
  -map 0:v -map 1:a \
  -af "afade=t=in:st=0:d=0.5,afade=t=out:st=14:d=1,volume=0.8" \
  -c:v copy -c:a aac -b:a 128k \
  -shortest -movflags +faststart \
  "reel-final.mp4"
3f. Validate Duration (MANDATORY)
bash
ffprobe -v quiet -print_format json -show_entries format=duration "reel-final.mp4" | \
  python3 -c "import sys,json; d=float(json.load(sys.stdin)['format']['duration']); \
  print(f'Duration: {d:.1f}s — {\"OK\" if d <= 15.0 else \"TOO LONG — must re-edit\"}')"

If over 15.0s: trim the demo clip or speed it up. NEVER deliver over 15 seconds.


Step 4: Publish via Post-Bridge

For full setup instructions, load ./references/tools-setup.md.

4a. Upload Videos

Videos need public URLs. Use tmpfiles.org for temporary hosting:

bash
url=$(curl -s -F "file=@reel-final.mp4" https://tmpfiles.org/api/v1/upload | \
  python3 -c "import sys,json; u=json.load(sys.stdin)['data']['url']; \
  print(u.replace('tmpfiles.org/', 'tmpfiles.org/dl/'))")
echo "Public URL: $url"
4b. Schedule Posts
mcp__post-bridge__create_post(
  caption="Hook text...\n\nCaption body...\n\n#hashtag1 #hashtag2 #fyp",
  social_accounts=[ACCOUNT_ID],
  media_urls=["PUBLIC_VIDEO_URL"],
  scheduled_at="2026-03-10T22:00:00Z"
)

Distribution rules:

  • ONE unique video per account — never post the same video to multiple accounts
  • Stagger posting times by 5 minutes between accounts
  • Drafts (is_draft: true) cannot be updated/deleted via API
4c. Caption Formula
[Hook text — the emotional line from the video]

[1-2 sentences connecting the emotion to your product/solution]

#hashtag1 #hashtag2 #hashtag3 #hashtag4 #hashtag5 #fyp

Step 5: Track Performance via DanSUGC Analytics Proxy

Social media analytics are included with your DanSUGC API key — no extra setup needed. DanSUGC proxies ScrapCreators data at $0.02/request from your existing balance. Auth is handled automatically by the MCP server.

# Get TikTok video stats
mcp__dansugc__scrapecreators_raw(path="v1/tiktok/video", params={url: "VIDEO_URL"})

# Search TikTok videos by keyword
mcp__dansugc__tiktok_search_videos(query="KEYWORD")

# Get TikTok profile videos (sorted by popular)
mcp__dansugc__tiktok_user_videos(handle="USERNAME", sort_by="popular")

# Search Instagram reels
mcp__dansugc__instagram_search_reels(query="KEYWORD")

Error codes:

  • 402 — Insufficient DanSUGC balance (top up credits)
  • 403 — API key not linked to a user account
  • 502 — Upstream unreachable (auto-refunded, safe to retry)
Winner Thresholds (24-48h)
MetricGoodGreatViral
Views10K+100K+1M+
Like ratio5%+10%+15%+
Comment ratio0.5%+1%+2%+
Share ratio0.3%+1%+3%+
Replicate Winners
  1. Same hook emotion + different UGC creator
  2. Same text style + same demo angle
  3. Same music + spread across accounts
  4. Search for more clips: mcp__dansugc__search_videos(emotion="shocked", min_virality=70)

Step 6: Format Research — Find Viral Formats for Any Niche

When users ask for format ideas (e.g., "find me format ideas for beef liver supplements on TikTok"), use the DanSUGC MCP tools to research what's working in that niche across TikTok and Instagram.

6a. Search for Niche Content

Search TikTok and Instagram for top-performing content in the user's niche:

# Search TikTok for niche keywords
mcp__dansugc__tiktok_search_videos(query="NICHE_KEYWORD")

# Search Instagram reels for same niche
mcp__dansugc__instagram_search_reels(query="NICHE_KEYWORD")

Run multiple keyword variations to cast a wider net. For example, for "beef liver supplements":

  • beef liver supplement
  • beef liver capsules
  • organ supplements
  • liver king (known creators in the niche)
  • desiccated liver
Show full SKILL.md (545 more words)Show less
6b. Find Top Creators in the Niche

Identify creators who are crushing it, then pull their most popular videos:

# Search for creators in the niche
mcp__dansugc__tiktok_search_users(query="NICHE_KEYWORD")

# Get their top-performing videos
mcp__dansugc__tiktok_user_videos(handle="CREATOR_USERNAME", sort_by="popular")

# Get Instagram creator reels
mcp__dansugc__instagram_user_reels(handle="CREATOR_USERNAME")
6c. Analyze & Present Format Ideas

From the search results, extract and present 4-5 distinct format ideas. For each format:

markdown
### Format [N]: [Format Name]

**Description:** What the format looks like and how it works
**Example:** [Link or description of a top-performing video using this format]
**Stats:** [Views, likes, engagement rate from the search results]
**Why it works:** [Brief psychology — why this format resonates]
**How to replicate with ReelClaw:**
  - Hook type: [emotion — shocked, crying, etc.]
  - Text hook style: [e.g., "When..." question, bold statement, statistic]
  - Demo content: [what to show in the demo portion]
  - Music vibe: [energetic, moody, trending sound]
6d. Format Research Strategy

Search in this order for best results:

  1. Broad niche search — keyword search for the main niche term
  2. Specific product search — keyword search for the exact product/brand
  3. Creator discovery — user search to find niche influencers
  4. Creator deep-dive — profile videos sorted by popular for top 2-3 creators
  5. Cross-platform — Repeat key searches on Instagram for format diversity

What to look for in results:

  • Videos with unusually high engagement (likes/views ratio > 10%)
  • Recurring formats across multiple creators (validates the format works)
  • Content styles: UGC reactions, before/after, POV, tutorials, testimonials, unboxing, "day in my life"
  • Hook patterns: text overlays, opening lines, visual hooks
  • Duration sweet spots in the niche

Step 7: Hook Research — Find Winning Text Hooks

When users ask for hook ideas, use the DanSUGC MCP tools to find text hooks proven to work in the niche.

7a. Search for Hook Inspiration
# Search TikTok for niche content — hooks live in video descriptions/captions
mcp__dansugc__tiktok_search_videos(query="NICHE_KEYWORD")

# Search with emotional angle keywords
mcp__dansugc__tiktok_search_videos(query="NICHE relatable")

# Instagram reels for different hook styles
mcp__dansugc__instagram_search_reels(query="NICHE_KEYWORD")
7b. Extract & Categorize Hooks

From the search results, extract text hooks from video descriptions, captions, and titles. Group them by type:

CategoryPatternExample
"When..." hooksWhen [relatable situation]..."When you've tried everything but nothing works"
POV hooksPOV: [scenario]"POV: you finally tried organ supplements"
Statistic hooks[Number] [claim]"90% of people are deficient in this"
Question hooks[Provocative question]?"Why is nobody talking about this?"
Confession hooksI [honest admission]"I used to think supplements were a scam"
"Nobody..." hooksNobody talks about [truth]"Nobody tells you this about iron deficiency"
Challenge hooks[Dare or challenge]"Try this for 30 days and watch what happens"
Before/After hooks[Before state] → [After state]"Day 1 vs Day 30 on beef liver"
7c. Present Hook Ideas

For each hook, provide:

markdown
### Hook [N]: "[The hook text]"

**Category:** [Hook type from table above]
**Inspired by:** [Video from search results with stats]
**Emotion:** [What UGC reaction to pair with — shocked, curious, crying, etc.]
**Text overlay format:**
  Line 1: [first line of text]
  Line 2: [second line, if needed]
**Matching caption:**
  [Full caption including hashtags]
7d. Hook Research Strategy

To find hooks that match a specific format:

  1. Search for the format keyword (e.g., "supplement review TikTok")
  2. Look at the top 10-20 results
  3. Extract the first line of each caption — this is usually the hook
  4. Cross-reference with engagement: hooks from high-performing videos are proven

To find hooks for a specific brand/product:

  1. Search for the brand name directly
  2. Search for the product category + emotional keywords
  3. Search for competitor brand names

Hook quality signals:

  • High engagement ratio (likes/views > 10%)
  • Many comments (comments indicate the hook triggered a response)
  • Hook text matches the emotional tone of the video
  • Short and scannable (3-7 words per line, max 3 lines)

Troubleshooting

"No token data found" for DanSUGC MCP:

  • Re-register: claude mcp add --transport http -s user dansugc https://dansugc.com/api/mcp -H "Authorization: Bearer YOUR_KEY"
  • Restart Claude Code after adding

Apostrophes breaking text overlays:

  • Use textfile=/tmp/mytext.txt instead of inline text='...'
  • Write text to file first: printf "don't stop" > /tmp/mytext.txt

Speed-up clips output wrong duration:

  • Always use two-pass: trim first with -c copy, then speed up with setpts
  • Never combine -ss/-to with setpts in a single pass

Drafts can't be updated/deleted in Post-Bridge:

  • API limitation — drafts are immutable. Create a new scheduled post instead.

Text cut off by platform UI:

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (references) in skills/reelclaw of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • _meta.json
  • references/ffmpeg-patterns.md
  • references/green-zone.md
  • references/tools-setup.md

Open the folder on GitHubat commit e5199b5

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 skillLeoYeAI/openclaw-master-skills2.2k—~5.4kAutomated safety check: NotesMIT
ShowtimeFavioVazquez/showtime220—~3kAutomated safety check: PassMIT
Bggg Tiktok Readvideobinggandata/bggg-skills605—~1.6kAutomated safety check: PassMIT
Reelclawdansugc/reelclaw1451 repos~8.2kAutomated safety check: NotesNone
Ffmpeg Skillkajisho5/ffmpeg-skill1.9k—~7.4kAutomated safety check: PassMIT
OpenStoryline Install HelperFireRedTeam/FireRed-OpenStoryline3.5k—~1.5kAutomated safety check: NotesApache-2.0

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Questions about Reelclaw

What does Reelclaw do?

Create, produce, and schedule UGC-style short-form video reels at scale. Reelclaw is an agent skill from LeoYeAI/openclaw-master-skills. Create, produce, and schedule 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 LeoYeAI/openclaw-master-skills --skill reelclaw -a claude-code`. Or copy the skill folder (skills/reelclaw in LeoYeAI/openclaw-master-skills) 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 LeoYeAI/openclaw-master-skills --skill reelclaw -a codex`. Or copy the skill folder (skills/reelclaw in LeoYeAI/openclaw-master-skills) 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 LeoYeAI/openclaw-master-skills --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 the command-line tools its instructions call (ffmpeg, curl, python3, apt-get, brew and ffprobe) and credentials named GEMINI_API_KEY. Our summary lists: Python 3; A credential in GEMINI_API_KEY.

Does Reelclaw access the network?

SKILL.md names 5 domains. In commands or code: generativelanguage.googleapis.com, dansugc.com, cufonfonts.com, aistudio.google.com and tmpfiles.org; 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?

Reelclaw is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Reelclaw use?

About 5.4k tokens (SKILL.md is roughly 21k 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 4.4k 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: Showtime (FavioVazquez/showtime, 220 stars), Bggg Tiktok Readvideo (binggandata/bggg-skills, 605 stars), Reelclaw (dansugc/reelclaw, 145 stars) and Ffmpeg Skill (kajisho5/ffmpeg-skill, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Reelclaw?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.