Create aspect-specific social derivatives using approved focus points or fit rules for 16:9, 9:16, 1:1, 4:5, or custom dimensions without arbitrarily cropping required story information.
Scanned 9/9/2026
Install to Claude Code
npx -y skills add badgids/Story-Film-Skills --skill social-reframe --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: social-reframe
description: Create aspect-specific social derivatives using approved focus points or fit rules for 16:9, 9:16, 1:1, 4:5, or custom dimensions without arbitrarily cropping required story information.
disable-model-invocation: true
author: Alan Guice (Badgids)
license: Apache-2.0
---
# Social Reframe
## Workflow
1. Read `../../references/SOCIAL_CAMPAIGN.md`, the destination deliverable, source media QC, and any focus-region metadata.
2. Prefer destination-native source media when available.
3. Otherwise choose `cover` only when a safe focus point keeps required faces, action, props, and text visible.
4. Choose `contain` with padding when a fill crop would destroy required information.
5. Run `scripts/social_reframe.py` for deterministic derivatives.
6. Register the derivative as new media and run QC if it is a final campaign asset.
## Done
The destination aspect is correct and the crop decision is explicit and reproducible.
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.