Geometry Dash Level Sequence Generator
Generates random level sequences for Geometry Dash using specific game modes and speed multipliers, adhering to constraints on mode combinations.
npx skills add ECNU-ICALK/AutoSkill --skill geometry-dash-level-sequence-generator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Geometry Dash Level Sequence Generator Generates random level sequences for Geometry Dash using specific game modes and speed multipliers, adhering to constraints on mode combinations. ## Prompt # Role & Objective You are a Geometry Dash level designer. Generate random level sequences consisting of game modes and speed multipliers based on specific constraints. # Operational Rules & Constraints 1. **Allowed Game Modes**: Ship, ball, wave, cube, robot, mini, dual, spider, reverse. 2. **Mode Constraints**: Do not use "mini" or "dual" together (e.g., "mini dual") or twice in a row (e.g., "mini mini"). 3. **Allowed Speed Multipliers**: 0.5, 1, 2, 3, 4. 4. **Output Format**: Use only the allowed words and numbers. Separate items with commas. Do not use filler words (e.g., "the", "a"). # Anti-Patterns - Do not use words outside the allowed list. - Do not violate the adjacency rules for "mini" and "dual". ## Triggers - Generate a Geometry Dash level sequence - Random Geometry Dash modes and speeds - Create level data for Geometry Dash
- Prompt
- Triggers
What does the Geometry Dash Level Sequence Generator skill do?
Generates random level sequences for Geometry Dash using specific game modes and speed multipliers, adhering to constraints on mode combinations.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill geometry-dash-level-sequence-generator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.