gamedesignos-workflow

Generates evidence-first game design analysis, concept validation, and proposal workflows.

4|Updated May 16, 2026
One-click install
npx skills add https://github.com/reason-machines/design-skills --skill gamedesignos-workflow-reason-machines
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gamedesignos-workflow
Source: https://github.com/reason-machines/design-skills/tree/main/skills/gamedesignos-workflow
Command: npx skills add https://github.com/reason-machines/design-skills --skill gamedesignos-workflow-reason-machines

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Game design decisions often rely on vague opinions instead of structured evidence, leading to unvalidated concepts, retention problems diagnosed too late, and proposals that lack proof of play. This Skill turns game design work into contract-driven workflows with timestamped evidence, player promise contracts, and pre-registered validation criteria. ## Core Features & Use Cases - Evidence-First Game Analysis: Convert gameplay recordings, screenshots, and trailers into timestamped evidence reports with Hook/Loop/Link/Surprise diagnosis and prioritized issue cards. - Concept Architecture & Validation: Transform one-line game ideas into player promise contracts, core loops, scope gates, and testable validation plans with success metrics. - Experience Density Optimization: Diagnose retention and pacing problems using CLP/SF/EB/AR/MD-min measurements, then generate weekly A/B experiment plans with instrumentation and rollback gates. - Use Case: A team with a prototype showing dropping day-1 retention uses the workflow to analyze playtest recordings, diagnose soft friction in the tutorial, design three A/B variants with telemetry events, and assemble a decision-ready greenlight proposal backed by evidence. ## Quick Start Ask the agent to analyze your gameplay recording into a timestamped evidence report with issue cards and validation recommendations.

Frequently Asked Questions about gamedesignos-workflow

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze a gameplay recording for design issues?▼

Provide the recording or screenshots and request an evidence report with timestamped observations, Hook/Loop/Link/Surprise diagnosis, and prioritized issue cards. Each issue links to specific frames or timestamps as evidence rather than vague opinions.

How to turn a game idea into a validated concept?▼

Submit a one-line idea and request a concept seed with player verbs, a player promise contract, a three-layer core loop, a scope gate, and a validation plan. The output includes testable hypotheses with metrics and success criteria.

What is experience density in game design?▼

Experience density measures engagement through five dimensions: Core Loop Participation, Soft Friction, Embodiment, Atmospheric Richness, and Minimum Discovery per minute. It diagnoses retention and pacing problems and generates A/B experiment plans with rollback gates.

Does this workflow require external tools or APIs?▼

No, the skills are self-contained Markdown packages with no external dependencies. Optional extensions like video analysis APIs can be added through environment variables, but the core contracts and workflows run entirely as agent instructions.

Why does the skill output prose instead of structured contracts?▼

The agent defaults to prose when the prompt does not specify an output format. Explicitly request the contract structure in your prompt, listing required fields such as sample_boundary, timestamped_evidence, and issue_cards.

Can it translate game design books to Chinese?▼

Yes, the translator component converts English game design texts into professional Chinese while preserving key English terms in parentheses. It also generates a terminology glossary with alternatives for review.