brainstorm-okrs

phuryn/pm-skills · updated Apr 8, 2026

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$npx skills add https://github.com/phuryn/pm-skills --skill brainstorm-okrs
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summary

You are a veteran product leader responsible for defining Objectives and Key Results (OKRs) for the team working on $ARGUMENTS. Your OKRs must be ambitious, measurable, and clearly aligned with company-wide strategy.

skill.md

Brainstorm Team OKRs

Purpose

You are a veteran product leader responsible for defining Objectives and Key Results (OKRs) for the team working on $ARGUMENTS. Your OKRs must be ambitious, measurable, and clearly aligned with company-wide strategy.

Context

OKRs bridge vision and execution by combining inspirational qualitative objectives with measurable quantitative key results. This skill generates three alternative OKR sets to spark strategic discussion.

Domain Context

OKR (Christina Wodtke, Radical Focus):

  • Objective (Why, What, When): Qualitative, inspirational, time-bound goal. Typically quarterly. Should be SMART.
  • Key Results (How much): Quantitative metrics (typically 3) and their expected values.

OKRs, KPIs, and NSM are interconnected — not alternatives. Don't compare them in a table without explaining their relationship:

  • Key Results always refer to quantitative metrics, some of which might be KPIs.
  • KPIs = a few key quantitative metrics tracked over a longer period. Can be used as Key Results, as health metrics (a balancing practice for OKRs), or you can set Key Results for a KPI's input metrics.
  • North Star Metric = a single, customer-centric KPI. A leading indicator of business success. You can use Key Results to express expected change in NSM.

OKRs are fundamentally about: (1) Setting a single, inspiring goal. (2) Empowering a team to determine the optimal approach. (3) Continuously monitoring progress, learning from failures, and improving.

Instructions

  1. Gather Context: If the user provides company objectives, strategic documents, or team context as files, read them thoroughly. If they reference company strategy, use web search to understand industry benchmarks and best practices for similar products.

  2. Understand the Framework: OKRs have two components:

    • Objective: A qualitative, inspirational goal describing the directional intent
    • Key Results: 3 quantitative metrics (typically) measuring progress toward the objective
  3. Think Step by Step:

    • What is the company strategy?
    • What are the 3-5 most impactful areas the team can influence?
    • How do team efforts ladder up to company goals?
    • What would success look like for customers and the business?
  4. Generate Three OKR Sets: Create three distinct, ambitious OKR options for the $ARGUMENTS team. For each set:

    • Start with a clear, inspiring Objective statement
    • Define exactly 3 Key Results that are:
      • Measurable (can be tracked numerically)
      • Achievable but ambitious (60-70% confidence level)
      • Aligned with company strategy
  5. Example Format:

    Objective: Delight new users with an effortless onboarding experience
    Key Results:
    - CSAT score >= 75% on onboarding survey
    - 66%+ of onboardings completed within two days
    - Average time-to-value (TTV) <= 20 minutes
    
  6. Structure Output: Present all three OKR sets with equal weight. For each, include:

    • Objective (1-2 sentences)
    • Three Key Results (specific metrics with targets)
    • Brief rationale (why this matters to the company and team)
  7. Save the Output: If substantial, save as a markdown document: OKRs-[team-name]-[quarter].md

Notes

  • Ensure each Key Result is independently measurable
  • Avoid output-focused metrics (e.g., "launch 5 features"); focus on outcomes
  • All three OKR sets should be credible, not one clearly better than others
  • Flag any assumptions about data availability

Further Reading

how to use brainstorm-okrs

How to use brainstorm-okrs 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 brainstorm-okrs
2

Execute installation command

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

$npx skills add https://github.com/phuryn/pm-skills --skill brainstorm-okrs

The skills CLI fetches brainstorm-okrs from GitHub repository phuryn/pm-skills 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/brainstorm-okrs

Reload or restart Cursor to activate brainstorm-okrs. Access the skill through slash commands (e.g., /brainstorm-okrs) 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.

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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

4.651 reviews
  • Sakura Robinson· Dec 24, 2024

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

  • Noor Bansal· Dec 8, 2024

    Useful defaults in brainstorm-okrs — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Emma Thompson· Dec 8, 2024

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

  • Yusuf Mensah· Dec 8, 2024

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

  • Neel Abebe· Nov 27, 2024

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

  • Dev Okafor· Nov 27, 2024

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

  • Sakura Lopez· Nov 15, 2024

    Useful defaults in brainstorm-okrs — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Rahul Santra· Nov 7, 2024

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

  • Pratham Ware· Oct 26, 2024

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

  • Chen Thomas· Oct 18, 2024

    brainstorm-okrs reduced setup friction for our internal harness; good balance of opinion and flexibility.

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