playtest-innovation

Harvest innovations from session logs and panel summaries into a playtest innovations log.

Updated Apr 19, 2026
One-click install
npx skills add https://github.com/giodl73-repo/QUEST --skill playtest-innovation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: playtest-innovation
Source: https://github.com/giodl73-repo/QUEST/tree/main/.claude/skills/playtest-innovation
Command: npx skills add https://github.com/giodl73-repo/QUEST --skill playtest-innovation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Scout and surface surprises in session logs and panel reviews that the rubric did not anticipate, enabling continuous improvement of playtest systems.

Core Features & Use Cases

  • Harvests innovations from finalized session logs, gate cards, and panel summaries to build a traceable innovations log.
  • Applies threshold rules to trigger rubric amendments or new player-style proposals when cross-session patterns emerge.
  • Automatically appends innovations to personas/playtest-innovations.md and surfaces proposals for reviewer actions.

Quick Start

Run the playtest-innovation skill on the latest session logs to harvest innovations and append them to the personas log.

Frequently Asked Questions about playtest-innovation

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

FAQPage Schema
How do I extract unexpected player behaviors from playtest session logs?

To surface unanticipated player behaviors from playtest session logs, harvest innovations by analyzing finalized session logs, gate scorecards, and panel SUMMARIES to identify rubric surprises. Extracted innovations are appended to a traceable playtest-innovations log.

When do I need to update my playtest rubric based on session data?

You update your playtest rubric when cross-session patterns emerge and reach predefined threshold rules. The system clusters innovations by dimension or themes across multiple sessions to trigger rubric amendments upon reaching these thresholds.

What is the best way to cluster playtest surprises across multiple sessions?

The best way to cluster playtest surprises across multiple sessions is to group harvested innovations by dimension or cross-session themes. This clustering identifies recurring patterns to generate amendment or new player-style proposals for the playtest system.

How do I propose a new player-style from playtest panel summaries?

To propose a new player-style from playtest panel summaries, analyze them alongside finalized session logs and gate scorecards to harvest innovations. When clustered surprises reach threshold rules across multiple sessions, a new player-style proposal is generated for reviewer approval.

Does this approach require finalized session logs to surface rubric surprises?

Yes, surfacing rubric surprises requires finalized session logs, gate scorecards, and panel SUMMARIES as input. The system harvests innovations specifically from these finalized documents to ensure the extracted playtest data is complete and accurate.