godot-genre-card-game

Expert blueprint for digital card games (CCG/Deckbuilders) including card data structures...

What this skill does for you

Expert blueprint for digital card games (CCG/Deckbuilders) including card data structures (Resource-based), deck management (draw/discard/reshuffle), turn logic, hand layout (arcing), drag-and-drop UI, effect resolution (Command pattern), and visual polish (godot-tweening, shaders). Use for CCG, deckbuilders, or tactical card games. Trigger keywords: card_game, deck_manager, card_data, hand_layout, drag_drop_cards, effect_resolution, command_pattern, draw_pile, discard_pile.

Quoted from the skill description in the pinned source

Who made it

Publisherthedivergentai

Repositorygd-agentic-skills

Installs312as 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 godot-genre-card-game skill from thedivergentai/gd-agentic-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: 4c4d0ff5c4597938cc9257d99d9e35f7692c9c06. 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: 4c4d0ff5c4597938cc9257d99d9e35f7692c9c06. 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: 4c4d0ff5c4597938cc9257d99d9e35f7692c9c06. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/thedivergentai/gd-agentic-skills
Pinned skill file: View source at revision
Revision: 4c4d0ff5c4597938cc9257d99d9e35f7692c9c06
Package hash: sha256:6c05234d168f996dea920fe7aa44786ecd9ceafcf64cfd45e2d9cf2d2efcb109
Licence: LGPL-3.0