ideogram4
Prompting patterns for Ideogram 4 text-to-image : best-in-class in-image text rendering and exact...
What this skill does for you
Prompting patterns for Ideogram 4 text-to-image : best-in-class in-image text rendering and exact color/layout control via structured JSON captions. Use when generating images that need legible on-image text (title cards, thumbnails, logos, signage, CTAs), precise brand colors, or controlled spatial layout. Triggers include title slide image, thumbnail with text, on-image text, legible text in image, brand color palette image, bounding-box layout, Ideogram.
Quoted from the skill description in the pinned sourceWho made it
Use it with Edge
Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the ideogram4 skill from digitalsamba/claude-code-video-toolkit.
Paste it into Claude, ChatGPT, Codex or Cursor.
Or read the skill source first.
Security evidence
| Scanner | Date | Result | Findings |
|---|---|---|---|
| Edge static checks | 2026-09-27 | Pass | 0 |
| Cisco skill-scanner | 2026-09-27 | Pass | 0 |
| Semgrep Edge rules | 2026-09-27 | Pass | 0 |
Static scans check the code, not how well the skill works.
Scanner scope, raw findings and mirrored provider records
Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 225c80a1c3a57c82d319ea6c73e0eff513787ae8. Raw findings: . Counted findings: .
Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 225c80a1c3a57c82d319ea6c73e0eff513787ae8. Raw findings: 1. Counted findings: .
Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 225c80a1c3a57c82d319ea6c73e0eff513787ae8. Raw findings: . Counted findings: .
Source and licence
- Repository
- https://github.com/digitalsamba/claude-code-video-toolkit
- Pinned skill file
- View source at revision
- Revision
- 225c80a1c3a57c82d319ea6c73e0eff513787ae8
- Package hash
- sha256:337b8be8defd836421e61acb567abc14795d37d99b4ae642dc8b5f6f619343f2
- Licence
- MIT