playtest-report

Donchitos/Claude-Code-Game-Studios · updated Apr 16, 2026

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$npx skills add https://github.com/Donchitos/Claude-Code-Game-Studios --skill playtest-report
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summary

### Playtest Report

  • name: playtest-report
  • description: "Generates a structured playtest report template or analyzes existing playtest notes into a structured format. Use this to standardize playtest feedback collection and analysis."
  • argument-hint: "[new|analyze path-to-notes] [--review full|lean|solo]"
skill.md
name
playtest-report
description
"Generates a structured playtest report template or analyzes existing playtest notes into a structured format. Use this to standardize playtest feedback collection and analysis."
argument-hint
"[new|analyze path-to-notes] [--review full|lean|solo]"
user-invocable
true
allowed-tools
Read, Glob, Grep, Write, Task, AskUserQuestion

Phase 1: Parse Arguments

Resolve the review mode (once, store for all gate spawns this run):

  1. If --review [full|lean|solo] was passed → use that
  2. Else read production/review-mode.txt → use that value
  3. Else → default to lean

See .claude/docs/director-gates.md for the full check pattern.

Determine the mode:

  • new → generate a blank playtest report template
  • analyze [path] → read raw notes and fill in the template with structured findings

Phase 2A: New Template Mode

Generate this template and output it to the user:

# Playtest Report

## Session Info
- **Date**: [Date]
- **Build**: [Version/Commit]
- **Duration**: [Time played]
- **Tester**: [Name/ID]
- **Platform**: [PC/Console/Mobile]
- **Input Method**: [KB+M / Gamepad / Touch]
- **Session Type**: [First time / Returning / Targeted test]

## Test Focus
[What specific features or flows were being tested]

## First Impressions (First 5 minutes)
- **Understood the goal?** [Yes/No/Partially]
- **Understood the controls?** [Yes/No/Partially]
- **Emotional response**: [Engaged/Confused/Bored/Frustrated/Excited]
- **Notes**: [Observations]

## Gameplay Flow
### What worked well
- [Observation 1]

### Pain points
- [Issue 1 -- Severity: High/Medium/Low]

### Confusion points
- [Where the player was confused and why]

### Moments of delight
- [What surprised or pleased the player]

## Bugs Encountered
| # | Description | Severity | Reproducible |
|---|-------------|----------|-------------|

## Feature-Specific Feedback
### [Feature 1]
- **Understood purpose?** [Yes/No]
- **Found engaging?** [Yes/No]
- **Suggestions**: [Tester suggestions]

## Quantitative Data (if available)
- **Deaths**: [Count and locations]
- **Time per area**: [Breakdown]
- **Items used**: [What and when]
- **Features discovered vs missed**: [List]

## Overall Assessment
- **Would play again?** [Yes/No/Maybe]
- **Difficulty**: [Too Easy / Just Right / Too Hard]
- **Pacing**: [Too Slow / Good / Too Fast]
- **Session length preference**: [Shorter / Good / Longer]

## Top 3 Priorities from this session
1. [Most important finding]
2. [Second priority]
3. [Third priority]

Phase 2B: Analyze Mode

Read the raw notes at the provided path. Cross-reference with existing design documents. Fill in the template above with structured findings. Flag any playtest observations that conflict with design intent.


Phase 3: Action Routing

Categorize all findings into four buckets:

  • Design changes needed — fun issues, player confusion, broken mechanics, observations that conflict with the GDD's intended experience
  • Balance adjustments — numbers feel wrong, difficulty too spiked or too flat
  • Bug reports — clear implementation defects that are reproducible
  • Polish items — not blocking progress, but friction or feel issues for later

Present the categorized list, then route:

  • Design changes: "Run /propagate-design-change [path] on the affected design document to find downstream impacts before making changes."
  • Balance adjustments: "Run /balance-check [system] to verify the full balance picture before tuning values."
  • Bugs: "Use /bug-report to formally track these."
  • Polish items: "Add to the polish backlog in production/ when the team reaches that phase."

Phase 3b: Creative Director Player Experience Review

Review mode check — apply before spawning CD-PLAYTEST:

  • solo → skip. Note: "CD-PLAYTEST skipped — Solo mode." Proceed to Phase 4 (save the report).
  • lean → skip (not a PHASE-GATE). Note: "CD-PLAYTEST skipped — Lean mode." Proceed to Phase 4 (save the report).
  • full → spawn as normal.

After categorising findings, spawn creative-director via Task using gate CD-PLAYTEST (.claude/docs/director-gates.md).

Pass: the structured report content, game pillars and core fantasy (from design/gdd/game-concept.md), the specific hypothesis being tested.

Present the creative director's assessment before saving the report. If CONCERNS or REJECT, add a ## Creative Director Assessment section to the report capturing the verdict and feedback. If APPROVE, note the approval in the report.


Phase 4: Save Report

Ask: "May I write this playtest report to production/qa/playtests/playtest-[date]-[tester].md?"

If yes, write the file, creating the directory if needed.


Phase 5: Next Steps

Verdict: COMPLETE — playtest report generated.

  • Act on the highest-priority finding category first.
  • After addressing design changes: re-run /design-review on the updated GDD.
  • After fixing bugs: re-run /bug-triage to update priorities.
how to use playtest-report

How to use playtest-report on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add playtest-report
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/Donchitos/Claude-Code-Game-Studios --skill playtest-report

The skills CLI fetches playtest-report from GitHub repository Donchitos/Claude-Code-Game-Studios and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/playtest-report

Reload or restart Cursor to activate playtest-report. Access the skill through slash commands (e.g., /playtest-report) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.734 reviews
  • Hana Ghosh· Dec 24, 2024

    We added playtest-report from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Olivia Okafor· Dec 8, 2024

    Solid pick for teams standardizing on skills: playtest-report is focused, and the summary matches what you get after install.

  • Mateo Wang· Nov 27, 2024

    We added playtest-report from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Hiroshi Khan· Nov 15, 2024

    Solid pick for teams standardizing on skills: playtest-report is focused, and the summary matches what you get after install.

  • Valentina Tandon· Oct 18, 2024

    playtest-report fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Carlos Abbas· Oct 6, 2024

    playtest-report has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Hiroshi Verma· Sep 25, 2024

    Solid pick for teams standardizing on skills: playtest-report is focused, and the summary matches what you get after install.

  • Rahul Santra· Sep 17, 2024

    playtest-report has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Henry Brown· Sep 9, 2024

    playtest-report is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Charlotte Nasser· Aug 28, 2024

    Keeps context tight: playtest-report is the kind of skill you can hand to a new teammate without a long onboarding doc.

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