By chrtmnn
A collection of AI agent skills for game ideation and early development workflows, based on the Daniel Dumont workshop methodology (Making Games Magazin 2010/2011).
Use when the user asks to initialize game design documentation, start a new game concept project, or scaffold the standard Dumont-style document structure (Game Idea, Core Mechanic, Exposé, Game Concept, Functional Design, Logical Concept, Interface Concept, Balancing, Change Log). Creates one folder per document type, each containing the matching template file. German triggers include "Spielkonzept-Dokumente anlegen", "Game-Docs initialisieren", "neues Spielprojekt aufsetzen", "Dumont-Dokumentenstruktur erstellen", "Spielidee-Vorlagen erzeugen".
Use when the user wants to develop, refine, sharpen, or flesh out the Game Idea document (`01_GameIdea.md`) — the first stage of the Daniel Dumont workshop methodology "From Idea to Concept". The skill acts as an experienced game designer and concept developer who structures the user's braindump, asks targeted follow-up questions, challenges weak points, brings creative impulses, and iteratively replaces the template's guiding questions with documentation-ready content. Requires the `init-game-docs` skill to be installed alongside (provides the workshop reference files). English triggers: "help me develop my game idea", "work on the game idea", "refine my game concept", "brainstorm a new game", "01_GameIdea.md", "flesh out the vision". German triggers: "Spielidee ausarbeiten", "Spielidee entwickeln", "Spielidee verfeinern", "Hilf mir bei meiner Spielidee", "an meinem Spielkonzept arbeiten", "01_GameIdea.md ausfüllen", "Vision ausformulieren", "Spielidee schärfen".
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A structured, AI-agent-supported workflow that takes a raw game idea through to a complete, implementation-grade Game Concept — guided by the methodology of Daniel Dumont's six-part workshop "Von der Idee zum Konzept" (Making Games Magazin, 2010–2011).
Game design documentation tends to fail in one of two ways: either it stays a vague pitch that nobody can build from, or it grows into a sprawling document that nobody can read. Dumont's method solves both by walking the author through three stages of increasing detail, with explicit gates between stages and discipline rules that keep each stage focused.
This repository turns that method into a set of AI agent skills. Each skill:
The result: a coherent set of design documents that grow from a half-page vision into a full implementation-ready concept, without the author losing the overview at any point.
Dumont's workshop is from 2010/2011 — methodologically rooted in the era of classic waterfall planning that German studios like Ascaron (Dumont's home) practiced at the time. We use it deliberately, with eyes open.
What is timeless:
| Element | Why it stays valid |
|---|---|
| Vision → Exposé → Concept staging | Mirrors any structured design work |
| Precision discipline | Every gap in the spec costs time later |
| Change management as a practice | Untracked decisions always come back to bite |
| Feature chapters covering edge cases, dependencies, balancing values | The questions you skip are the bugs you ship |
What feels 2010s-era:
| Element | Why it's dated |
|---|---|
| Strongly waterfall: "design completely first, then build" | Modern practice ships earlier and iterates |
| Implicit assumption of a full team (producer, QA, dedicated concept author) | Assumes infrastructure most solo devs lack |
| Paper-design over prototyping | Today's vertical-slice-first approach is more common |
| No mention of living docs, wikis, modern tooling | Modern teams use Notion, Confluence, and similar |
Why this fits AI-assisted solo development:
Modern indie and AAA practice is heavily prototype-driven — vertical slice first, write the spec afterward. That works when you have a team carrying verbal decisions around. Solo developers working with AI assistance are in a different situation: there is no team to absorb undocumented decisions, and the AI agent's output quality is bounded by the precision of its input.
Dumont's strictness — write it down, write it precisely, gate each stage — turns out to be a much better match for this case than modern-agile practice. Documentation is the solo developer's memory. It is also the AI agent's input contract.
Dumont's core insight is three stages of conception, each gated by review and viability:
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