challenge

alirezarezvani/claude-skills · updated Apr 8, 2026

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$npx skills add https://github.com/alirezarezvani/claude-skills --skill challenge
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summary

Command: /em:challenge <plan>

skill.md

/em:challenge — Pre-Mortem Plan Analysis

Command: /em:challenge <plan>

Systematically finds weaknesses in any plan before reality does. Not to kill the plan — to make it survive contact with reality.


The Core Idea

Most plans fail for predictable reasons. Not bad luck — bad assumptions. Overestimated demand. Underestimated complexity. Dependencies nobody questioned. Timing that made sense in a spreadsheet but not in the real world.

The pre-mortem technique: imagine it's 12 months from now and this plan failed spectacularly. Now work backwards. Why?

That's not pessimism. It's how you build something that doesn't collapse.


When to Run a Challenge

  • Before committing significant resources to a plan
  • Before presenting to the board or investors
  • When you notice you're only hearing positive feedback about the plan
  • When the plan requires multiple external dependencies to align
  • When there's pressure to move fast and "figure it out later"
  • When you feel excited about the plan (excitement is a signal to scrutinize harder)

The Challenge Framework

Step 1: Extract Core Assumptions

Before you can test a plan, you need to surface everything it assumes to be true.

For each section of the plan, ask:

  • What has to be true for this to work?
  • What are we assuming about customer behavior?
  • What are we assuming about competitor response?
  • What are we assuming about our own execution capability?
  • What external factors does this depend on?

Common assumption categories:

  • Market assumptions — size, growth rate, customer willingness to pay, buying cycle
  • Execution assumptions — team capacity, velocity, no major hires needed
  • Customer assumptions — they have the problem, they know they have it, they'll pay to solve it
  • Competitive assumptions — incumbents won't respond, no new entrant, moat holds
  • Financial assumptions — burn rate, revenue timing, CAC, LTV ratios
  • Dependency assumptions — partner will deliver, API won't change, regulations won't shift

Step 2: Rate Each Assumption

For every assumption extracted, rate it on two dimensions:

Confidence level (how sure are you this is true):

  • High — verified with data, customer conversations, market research
  • Medium — directionally right but not validated
  • Low — plausible but untested
  • Unknown — we simply don't know

Impact if wrong (what happens if this assumption fails):

  • Critical — plan fails entirely
  • High — major delay or cost overrun
  • Medium — significant rework required
  • Low — manageable adjustment

Step 3: Map Vulnerabilities

The matrix of Low/Unknown confidence × Critical/High impact = your highest-risk assumptions.

Vulnerability = Low confidence + High impact

These are not problems to ignore. They're the bets you're making. The question is: are you making them consciously?

Step 4: Find the Dependency Chain

Many plans fail not because any single assumption is wrong, but because multiple assumptions have to be right simultaneously.

Map the chain:

  • Does assumption B depend on assumption A being true first?
  • If the first thing goes wrong, how many downstream things break?
  • What's the critical path? What has zero slack?

Step 5: Test the Reversibility

For each critical vulnerability: if this assumption turns out to be wrong at month 3, what do you do?

  • Can you pivot?
  • Can you cut scope?
  • Is money already spent?
  • Are commitments already made?

The less reversible, the more rigorously you need to validate before committing.


Output Format

Challenge Report: [Plan Name]

CORE ASSUMPTIONS (extracted)
1. [Assumption] — Confidence: [H/M/L/?] — Impact if wrong: [Critical/High/Medium/Low]
2. ...

VULNERABILITY MAP
Critical risks (act before proceeding):
• [#N] [Assumption] — WHY it might be wrong — WHAT breaks if it is

High risks (validate before scaling):
• ...

DEPENDENCY CHAIN
[Assumption A] → depends on → [Assumption B] → which enables → [Assumption C]
Weakest link: [X] — if this breaks, [Y] and [Z] also fail

REVERSIBILITY ASSESSMENT
• Reversible bets: [list]
• Irreversible commitments: [list — treat with extreme care]

KILL SWITCHES
What would have to be true at [30/60/90 days] to continue vs. kill/pivot?
• Continue if: ...
• Kill/pivot if: ...

HARDENING ACTIONS
1. [Specific validation to do before proceeding]
2. [Alternative approach to consider]
3. [Contingency to build into the plan]

Challenge Patterns by Plan Type

Product Roadmap

  • Are we building what customers will pay for, or what they said they wanted?
  • Does the velocity estimate account for real team capacity (not theoretical)?
  • What happens if the anchor feature takes 3× longer than estimated?
  • Who owns decisions when requirements conflict?

Go-to-Market Plan

  • What's the actual ICP conversion rate, not the hoped-for one?
  • How many touches to close, and do you have the sales capacity for that?
  • What happens if the first 10 deals take 3 months instead of 1?
  • Is "land and expand" a real motion or a hope?

Hiring Plan

  • What happens if the key hire takes 4 months to find, not 6 weeks?
  • Is the plan dependent on retaining specific people who might leave?
  • Does the plan account for ramp time (usually 3–6 months before full productivity)?
  • What's the burn impact if headcount leads revenue by 6 months?

Fundraising Plan

  • What's your fallback if the lead investor passes?
  • Have you modeled the timeline if it takes 6 months, not 3?
  • What's your runway at current burn if the round closes at the low end?
  • What assumptions break if you raise 50% of the target amount?

The Hardest Questions

These are the ones people skip:

  • "What's the bear case, not the base case?"
  • "If this exact plan was run by a team we don't trust, would it work?"
  • "What are we not saying out loud because it's uncomfortable?"
  • "Who has incentives to make this plan sound better than it is?"
  • "What would an enemy of this plan attack first?"

Deliverable

The output of /em:challenge is not permission to stop. It's a vulnerability map. Now you can make conscious decisions: validate the risky assumptions, hedge the critical ones, or accept the bets you're making knowingly.

Unknown risks are dangerous. Known risks are manageable.

how to use challenge

How to use challenge 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 challenge
2

Execute installation command

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

$npx skills add https://github.com/alirezarezvani/claude-skills --skill challenge

The skills CLI fetches challenge from GitHub repository alirezarezvani/claude-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/challenge

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

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

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

Ratings

4.846 reviews
  • Li Abbas· Dec 20, 2024

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

  • Pratham Ware· Dec 16, 2024

    challenge reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Noor Sanchez· Dec 12, 2024

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

  • James Flores· Dec 8, 2024

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

  • Diego Johnson· Dec 8, 2024

    challenge reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Emma Sethi· Nov 27, 2024

    I recommend challenge for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Luis Menon· Nov 11, 2024

    Registry listing for challenge matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Yash Thakker· Nov 7, 2024

    I recommend challenge for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Noor Okafor· Nov 7, 2024

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

  • Daniel Okafor· Nov 3, 2024

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

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