# Research Game Project Management with PMNote

Game project managers need reliable context for delivery decisions, career preparation, and AI tool choices. PMNote connects public references with sourced analysis and practical next steps.

## Install

```bash
npx skillstore add chenhao233/pmnote
```

## Metadata

- Status: approved
- Slug: chenhao233-pmnote
- Version: 1.5.5
- Author version: 1.5.5
- Skillstore revision: r1
- Version status: valid
- Tree hash: 9288260cc8711fec688959b19149637b27a5b0fdb832d78853075b6fb8121043
- Author: chenhao233
- GitHub username: chenhao233
- License: MIT
- Repository: https://github.com/chenhao233/pmnote-agent-plugin/tree/67fb20fa0bac7a06894336009dc54c98dd5dcee4/skills/pmnote
- Ref: 5e909651a46bb77f50013d1b8b9138786870846e
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: allowed
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: external\_commands, network
- Quality score: 84
- Quality tier: gold
- Public page: https://skillstore.pages.dev/skills/chenhao233-pmnote
- Manifest: https://skillstore.pages.dev/api/skills/chenhao233-pmnote/manifest

## Capabilities

- Find relevant public PMNote articles, guides, terminology, podcasts, and job references through categorized directories.
- Search current public work metadata by title, summary, topic, or media type and retrieve linked platform versions.
- Retrieve published interview accounts through anonymous list and detail requests while preserving contributor attribution.
- Read public work-thought issues and current AI tool descriptions using the bundled Python reader.
- Develop schedule reviews, risk lists, and retrospective outlines from public sources and user-provided project facts.
- Separate source viewpoints from recommendations and distinguish summaries from full articles or transcripts.

## Use Cases

- Review a Game Release Plan: Compare a proposed milestone plan with relevant public guidance and identify missing dependencies, delivery risks, and follow-up decisions.
- Prepare for Game PM Interviews: Use attributed public interview accounts and role references to organize practice questions and identify gaps in project examples.
- Evaluate Art Production AI Tools: Read current tool descriptions and related public sources to compare workflow fit, limitations, and questions for a trial.

## Prompt Templates

### Understand the Game PM Role

```
Explain game project management using public PMNote sources. Cite the material you read and suggest three beginner learning priorities.
```

### Build an Interview Practice Plan

```
Find public PMNote interview material for [company or role]. Attribute contributors and separate reported questions from your recommendations. Build a practice plan.
```

### Review a Milestone Schedule

```
Review this game milestone plan: [sanitized plan]. Consult relevant public PMNote articles. List risks, dependencies, proposed checks, and unknown facts without inventing dates.
```

### Design an AI Workflow Trial

```
Evaluate AI options for [game production workflow] under [constraints]. Verify current tool descriptions. Propose a trial with acceptance criteria, risks, and unresolved evidence.
```

## Limitations

- Live content retrieval needs network access; the bundled reader requires Python 3.9 or later.
- The reader does not provide private account access, publishing, administration, or paid course materials.
- Work searches cover metadata rather than full program transcripts; podcast summaries do not establish every spoken viewpoint.
- Project advice depends on supplied facts; job availability, tool capabilities, and service details require current source verification.

## Best Practices

- Provide sanitized project goals, constraints, dependencies, and known dates before requesting a schedule or risk review.
- Ask for original source links, contributor attribution, and clear separation between evidence and recommendations.
- Use generic public search keywords and verify current job, tool, or service details before making decisions.

## Anti Patterns

- Sending resumes, contact details, or confidential project information as public interview search keywords.
- Treating titles, metadata summaries, or podcast shownotes as evidence of unread full content.
- Using the skill for unspecified product management questions or expecting private content access and guaranteed career outcomes.

## Security Audit

- Audited at: 2026-11-10T04:15:40.474\+00:00
- Summary: All 60 static alerts are false positives covering Markdown formatting, public-source requests, validation logic, and readable Chinese reference text. The reader restricts network destinations, blocks cross-origin redirects, and supports anonymous public interview reads only. No evidence found of malicious execution, credential exfiltration, or prompt injection in the reviewed files.

## Stats

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