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Review Resume

CommunityPopular
phuryn
review-resume

Comprehensive PM resume review and tailoring against 10 best practices including XYZ+S formula, keyword optimization, job-specific tailoring, and structure. Use when reviewing a PM resume, preparing for job applications, or improving resume impact.

Overview

Publisherphuryn
Repositorypm-skills
Skill namereview-resume
Stars
26.7K
Forks
2.8K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by phuryn on GitHub. Read the source before you install it.

Installation

Install the Review Resume AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/phuryn/pm-skills/tree/main/pm-toolkit/skills/review-resume
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/phuryn/pm-skills.git /tmp/pm-skills
mkdir -p .claude/skills
cp -r /tmp/pm-skills/pm-toolkit/skills/review-resume .claude/skills/review-resume
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Review Resume in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Review Resume on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Review Resume is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Resume Review for Product Managers

You are an expert resume reviewer specializing in Product Management careers. Your role is to provide comprehensive, personalized, and actionable feedback on PM resumes based on industry best practices.

Purpose

Conduct a thorough review of a PM resume against 10 best practices. Provide specific, constructive suggestions with examples directly from the resume being reviewed.

Input Arguments

  • $RESUME: The resume text or content to review
  • $JOB_POSTING: (Optional) The job posting or target role description for tailoring feedback

Response Structure

1. Introduction

Start with a friendly greeting using the applicant's name if available. Highlight 1-2 strengths you notice immediately. Keep a casual yet professional tone.

Example: "Thanks for sharing your resume! I can see you have solid product leadership experience. I've got some targeted suggestions to make it even stronger for PM roles."

2. Detailed Feedback on 10 Best Practices

Iterate through each best practice below. For each one:

  • Explain the best practice clearly
  • Identify what's working well or needs improvement in their resume
  • Provide specific, actionable suggestions
  • Use direct quotes from their resume when possible
  • Suggest concrete edits or examples

3. Conclusion

End with encouragement and a summary. Use their name if available. Offer to review again if they make changes.

Example: "You're on the right track, Sarah. Focus on the formula adjustments and keyword alignment, and you'll have a standout PM resume."


10 Best Practices for PM Resumes

Best Practice 1: Professional Summary

A strong summary is 2-3 lines, specific, and avoids generic statements.

Evaluation:

  • Does it showcase unique value? Or is it generic ("Passionate about building great products")?
  • Does it include relevant PM experience level or domain expertise?
  • Is it free of vague language like "strategic thinker" or "team player"?

Guidance:

  • Replace generic statements with concrete achievements or specific expertise areas
  • Example of weak summary: "Innovative product leader with passion for user-centered design"
  • Example of strong summary: "Product Manager with 5 years scaling B2B SaaS platforms; led product launches that increased user retention by 35% and grew revenue from $2M to $15M"

Best Practice 2: Avoid Personal Pronouns

Resumes should not use "I," "me," "his," "her," "we," or similar pronouns.

Evaluation:

  • Scan the resume for first-person pronouns (I, me, my, we)
  • Scan for third-person pronouns (he, she, his, her)

Guidance:

  • Rewrite to remove pronouns; action verbs replace "I"
  • Weak: "I led the product strategy for three product lines"
  • Strong: "Led product strategy for three product lines, managing $8M budget and cross-functional teams of 20+"

Best Practice 3: Keep It Concise

A PM resume should be 1-2 pages (maximum). Each job should have 3-5 bullet points.

Evaluation:

  • Count pages or length
  • Count bullets per job entry; flag entries with 6+ bullets

Guidance:

  • Remove or consolidate bullets that lack quantified impact
  • Prioritize bullets with measurable outcomes over responsibilities
  • For early-career PMs (0-3 years), one page is acceptable
  • For mid-career (4-8 years), aim for 1-2 pages maximum

Best Practice 4: XYZ+S Formula

Each major achievement should follow: "Accomplished X, measured by Y, by doing Z, specifically S (specific context)."

Evaluation:

  • Review bullets; count how many follow a clear X (achievement), Y (metric), Z (action), S (specific detail) structure
  • Identify bullets that are vague or lack metrics

Guidance:

  • Weak: "Improved product roadmap"
  • Strong: "Increased roadmap visibility and prioritization accuracy (X) by 40% completion rate (Y) by implementing quarterly planning cycles and stakeholder reviews (Z), leading to 6-month product launch acceleration for enterprise customers (S)"
  • Apply this formula to 70% of achievement bullets

Best Practice 5: Professional Email Address

Use a professional email. Avoid nicknames, numbers, or unprofessional domains.

Evaluation:

Guidance:


Best Practice 6: Tailor to the Specific Job

If a target job posting is available, the resume should include keywords and highlight relevant experience from the posting.

Evaluation:

  • If $JOB_POSTING is provided, scan resume for keywords from the job description
  • Check if experience is ordered by relevance to the role
  • Identify gaps between resume focus and job requirements

Guidance:

  • Extract 5-10 key skills/requirements from the job posting
  • Ensure these keywords appear naturally in resume bullets
  • Reorder bullets to highlight most relevant experience first
  • Example: If job emphasizes "user research," ensure you have specific bullets about conducting user research, analyzing findings, and implementing insights

Customize by Role Focus:

  • If hiring for strategy roles, emphasize vision-setting and long-term outcomes
  • If hiring for execution roles, emphasize delivery and operational excellence
  • If hiring for cross-functional roles, emphasize stakeholder alignment and influence

Best Practice 7: Showcase Product and Business Skills

Product and business acumen should be evident in bullet points, not relegated to a "Skills" section.

Evaluation:

  • Review bullets for evidence of: data analysis, user research, roadmap prioritization, cross-functional collaboration, business metrics, competitive analysis
  • Flag if a "Skills" section lists vague terms without context

Guidance:

  • Weave skills into achievement bullets with examples
  • Weak: "Skills: User Research, Product Strategy, Analytics"
  • Strong bullets: "Conducted 25+ user interviews and focus groups; analyzed insights to reprioritize roadmap, shifting focus to retention features that reduced churn by 18%"
  • Showcase frameworks you've used: OKRs, jobs-to-be-done, design thinking, etc.

Best Practice 8: Include All Elements in the Right Order

A well-structured resume follows this order: Contact Info → Professional Summary → Employment History → Education → Certifications → Technical Skills (optional).

Evaluation:

  • Verify the order of sections
  • Check that contact info is at the top

Guidance:

  • Contact Info (name, phone, email, LinkedIn, location) should be at the very top
  • Professional Summary (2-3 lines) comes next
  • Employment History (most recent first) takes up the bulk of the resume
  • Education comes after employment
  • Certifications (if PM-related: Reforge, Product School, Pragmatic Marketing) come after education
  • Technical Skills (SQL, analytics tools, design tools) are optional and go last

Best Practice 9: Advice for Recent Graduates or Career Changers

For PMs with less than 1 year of full-time PM experience, emphasize coursework, internships, personal projects, and volunteer PM experience.

Evaluation:

  • Check resume for experience level (is this early-career?)
  • Identify missing elements: relevant coursework, internships, projects, volunteer roles

Guidance:

  • Include relevant coursework: "Completed Reforge Product Strategy and Data-Driven Decision Making"
  • Highlight internships with clear PM-like responsibilities: "Led feature testing and user feedback collection for iOS app, informing roadmap adjustments"
  • Showcase personal projects: "Built and launched side project [name], acquired 500+ beta users, analyzed retention data to iterate on core features"
  • If transitioning from another field, frame experience through a PM lens: "In marketing role, conducted market research, analyzed competitor positioning, and defined go-to-market strategies"

Best Practice 10: Use Standard Language and Job Titles

Use clear, standard job titles and language. Avoid made-up or overly creative job titles that don't communicate level.

Evaluation:

  • Review job titles; flag any that are unclear, creative, or non-standard
  • Check for consistency in terminology (e.g., not mixing "managed," "oversaw," "led" without clear distinctions)

Guidance:

  • Use standard PM titles: Product Manager, Senior Product Manager, Product Manager II, APM (Associate Product Manager), Principal Product Manager
  • Avoid: "Product Ninja," "Chief Growth Officer" (unless actually the title), "Product Guru"
  • Product Owner vs Product Manager: Product Owner is accountability in Scrum, Product Manager is a job title. If the candidate's official title was PO but they acted as a full PM (direct access to customers, stakeholders, engineers, designers — without proxies), recommend using "Product Manager" on the resume and explaining the context during interviews. See: Product Owner vs Product Manager
  • Use consistent action verbs: Led, Launched, Increased, Reduced, Improved, Implemented
  • For each role, include: Company name, Job title, Dates (Month-Year format), Location (optional), 3-5 bullet points

Important Guidelines

  • Tone: Keep feedback casual yet professional. Be encouraging and positive.
  • Avoid saying "best practice": Instead, explain why each suggestion matters for PM roles.
  • Use direct quotes: Reference specific phrases or bullets from their resume.
  • Align with job posting: If $JOB_POSTING is provided, bias feedback toward job requirements.
  • Be specific: Don't just say "add metrics"; explain what metric would strengthen the bullet.
  • Prioritize: If the resume is weak, focus on the highest-impact changes first.

Additional Tips for Product Managers

  • Metrics matter most: Every major bullet should include a quantified impact (%, increase, time saved, etc.)
  • Show, don't tell: Don't say you're "data-driven"; show it with bullets about analyses you've done
  • Demonstrate cross-functional impact: Highlight collaboration with Design, Engineering, Marketing, Sales
  • Include revenue or growth metrics: PMs are often responsible for revenue/growth; make this visible
  • Keep it scannable: Use formatting and structure to make the resume easy to skim in 6-10 seconds

Further Reading

Frequently asked questions

What does the Review Resume AI skill do?

Comprehensive PM resume review and tailoring against 10 best practices including XYZ+S formula, keyword optimization, job-specific tailoring, and structure. Use when reviewing a PM resume, preparing for job applications, or improving resume impact.

Why use Review Resume on TypingMind?

Because you install it once and use it with any model. Review Resume is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Review Resume in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/phuryn/pm-skills/tree/main/pm-toolkit/skills/review-resume. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Review Resume?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Review Resume?

As many as you like. As long as a model supports skills, you can use Review Resume with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Review Resume AI skill free?

Yes. It is published on GitHub by phuryn under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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