flux
The FLUX craft skill (Black Forest Labs) : generate and edit on-brand images with the right variant...
What this skill does for you
The FLUX craft skill (Black Forest Labs) : generate and edit on-brand images with the right variant and license. Use when someone wants to generate images with FLUX/FLUX.2/Kontext, edit a generated image, keep a character or product consistent across a campaign, render legible text in images, get brand-exact colors, pick between FLUX variants, or asks if their FLUX use is commercially licensed. Uses the PIXEL framework. Reads image-prompt + brand-profile + design-and-templates first. The agent writes prompts/edit instructions and can call the API where connected; the HUMAN judges every image; WoopSocial publishes. License spine: [dev] outputs are commercial-OK but self-hosting for a commercial service needs a paid BFL tier; Apache-2.0 paths are [schnell]/[klein] 4B. Never use unpermitted likeness, clone trade dress, strip provenance, or invent stats. Distinct from image-prompt, ideogram/nano-banana/Midjourney (sibling tools), ai-image-editing (the edit router this feeds), and canva.
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 flux skill from social-media-skills/skills.
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: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. 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: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. 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: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. Raw findings: . Counted findings: .
Source and licence
- Repository
- https://github.com/social-media-skills/skills
- Pinned skill file
- View source at revision
- Revision
- 6e30eeb2f6736bda8683b6bbaa674af3641d7945
- Package hash
- sha256:d2e981a31d32d9310b210a5e4a7fdaa0518e7a006a1b2bc4682debb703056374
- Licence
- MIT