image-to-3d-pipeline

Transformez une image 2D en modèle 3D animé prêt pour le web ou le jeu en moins de 30 minutes.

What this skill does for you

Transformez une image 2D en modèle 3D animé prêt pour le web ou le jeu en moins de 30 minutes, en utilisant le workflow Dilum Sanjaya (Hunyuan3D + Mixamo). Use when: **Créer un personnage 3D pour un site web** - Mascotte, avatar, illustration interactive; **Prototyper un asset de jeu** - Character design, props, environnements; **Produire du contenu marketing 3D** - Produits rotatifs, personnages animés; **Convertir des illustrations existantes** - Logo, mascotte, character design → 3D; **Tes...

Quoted from the skill description in the pinned source

Who made it

Publisherguia-matthieu

Repositoryclawfu-skills

Installs285as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the image-to-3d-pipeline skill from guia-matthieu/clawfu-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

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: a69bf676d7fbc532f898f092e6326871052e414a. 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: a69bf676d7fbc532f898f092e6326871052e414a. Raw findings: . 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: a69bf676d7fbc532f898f092e6326871052e414a. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/guia-matthieu/clawfu-skills
Pinned skill file: View source at revision
Revision: a69bf676d7fbc532f898f092e6326871052e414a
Package hash: sha256:519873fb85b8fb59cf03cbc7063655d989000e502d42cdfa4e67dcfdd87556d1
Licence: MIT