Scrollclaw

ScrollClaw

AI-generated UGC videos that look like a real person pulled out their phone and started talking. Brands pay $500–$5,000 per UGC video from human creators. This pipeline produces them for $5–$50 in API costs.

The Pipeline

Brand name + URL
      ↓
/brand-setup → One-time brand research + file generation (Step 0)
      ↓
Brand + Audience
      ↓
/persona    → Persona research, creator profiles, approved script
/first-frame → Canonical face image (Nano Banana 2)
/animate    → A-roll talking head clips (Sora 2 i2v)
/b-roll     → Environment + product shots (Kling 3)
/assemble   → Stitch + unified voice + post-production + captions
/score      → Virality gate (70+ to publish)
      ↓
Scroll-stopping UGC video

Core doctrine: Read _system/SKILL.md for format selection, anti-patterns, taste calibration, and pipeline routing rules.

Brand & campaign context: Read _system/references/brand-campaign-context.md for workspace structure, context matrix, and persistence protocol.

Routing

When the user invokes ScrollClaw or asks about UGC video, route to the right sub-skill based on where they are in the pipeline:

Broad outcome requests stay at the root. Start the pipeline instead of asking the user to pick a sub-skill.

Stage-specific requests bypass the root and go straight to that sub-skill.

If the user isn't sure where they are, ask: "Where are you in the pipeline?" and show them the 6 steps above.

Contract

Input

• Required: brand/product context plus a campaign goal, or an existing campaign workspace if resuming
• Optional: format preference, creator profile, screen recordings/screenshots, existing clips, campaign slug
• Format: raw text, URL, file paths, or workspace/campaigns/<slug>/ files
• Source: user prompt, campaign brief, and upstream workspace/brand/ files

Output

• Produces: either a route decision to the correct stage or a sequential full-pipeline run starting at /persona
• Format: inline orchestration plus saved workspace artifacts produced by sub-skills
• Default behavior: broad requests like "make me a UGC video" or "start a campaign" start at /persona and continue stage by stage until blocked by missing inputs, an approval gate, or a dependency failure
• Downstream use: /persona, /first-frame, /animate, /b-roll, /assemble, and /score

Validation

• Pre-conditions: workspace exists or can be initialized before generation steps begin
• Post-conditions: the user knows the current stage, the next stage, and which workspace artifacts were produced
• Failure checks: do not leave the user at a vague route; if blocked, name the exact missing file, asset, or approval needed

Quick Start

First campaign:

1. Set up brand context (one-time per brand):
   • Recommended: Run /brand-setup with your brand name + URL — it researches and generates all three brand files automatically
   • Alternative: Copy templates from assets/ and fill in manually (see assets/ for templates)
2. Initialize workspace:

   CAMPAIGN="my-campaign"
   mkdir -p workspace/campaigns/$CAMPAIGN/{creators,scripts,frames,clips,scores}
   cp assets/campaign-brief-template.md workspace/campaigns/$CAMPAIGN/brief.md
   touch workspace/campaigns/$CAMPAIGN/output-log.md
   touch workspace/campaigns/$CAMPAIGN/learnings.md
   

3. Fill in workspace/campaigns/$CAMPAIGN/brief.md
4. Run /persona → /first-frame → /animate → /b-roll → /assemble → /score

Check setup first:

bash scripts/check-deps.sh

What ScrollClaw Needs

Six Formats

Key Findings (from testing)

• Sora's native voice > ElevenLabs TTS for talking head. TTS sounds fake.
• B-roll must be environment-matched. Extract a frame from A-roll → feed to Kling.
• Captions go LAST — after post-production. Grain degrades caption pills.
• AI cannot generate realistic app screens. Use real screenshots.
• ~1 in 3 Sora generations have hand artifacts. Reroll, don't fix the prompt.
• Multi-frame formats: chain from frame 1. Parallel generation causes face drift.

For full doctrine, format blueprints, anti-patterns, and taste calibration: _system/SKILL.md