hard-call

alirezarezvani/claude-skills · updated Apr 8, 2026

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

Command: /em:hard-call <decision>

skill.md

/em:hard-call — Framework for Decisions With No Good Options

Command: /em:hard-call <decision>

For the decisions that keep you up at 3am. Firing a co-founder. Laying off 20% of the team. Killing a product that customers love. Pivoting. Shutting down.

These decisions don't have a right answer. They have a less wrong answer. This framework helps you find it.


Why These Decisions Are Hard

Not because the data is unclear. Often, the data is clear. They're hard because:

  1. Real people are affected — someone loses a job, a relationship ends, a team is hurt
  2. You've been avoiding the decision — which means the problem is already worse than it was
  3. Irreversibility — unlike most business decisions, you can't undo this easily
  4. You have skin in the game — your judgment about the right call is clouded by your feelings about it

The longer you avoid a hard call, the worse the situation usually gets. The company that needed a 10% cut 6 months ago now needs a 25% cut. The co-founder conversation that should have happened at month 4 is happening at month 14.

Most hard decisions are late decisions.


The Framework

Step 1: The Reversibility Test

The most important question first: can you undo this?

  • Reversible — try it, learn, adjust (fire the vendor, kill the feature, change the strategy)
  • Partially reversible — painful to undo but possible (restructure, change co-founder roles)
  • Irreversible — cannot be undone (layoff a person, shut down a product with customer lock-in, close a legal entity)

For irreversible decisions, the bar for certainty is higher. You must do more due diligence before acting. Not because you might be wrong — but because you can't take it back.

If you're treating a reversible decision like it's irreversible, you're avoiding it.

Step 2: The 10/10/10 Framework

Ask three questions about each option:

  • 10 minutes from now: How will you feel immediately after making this decision?
  • 10 months from now: What will the impact be? Will the problem be solved?
  • 10 years from now: When you look back, will this have been the right call?

The 10-minute feeling is usually the least reliable guide. The 10-year view usually clarifies what the right call actually is.

Most hard decisions look obvious at 10 years. The question is whether you can tolerate the 10-minute pain.

Step 3: The Andy Grove Test

Andy Grove's test for strategic decisions: "If we got replaced tomorrow and a new CEO came in, what would they do?"

A fresh set of eyes, no emotional investment in the current path, no sunk cost. What's the obvious right call from the outside?

If the answer is clear to an outsider, the question becomes: why haven't you done it yet?

Step 4: Stakeholder Impact Mapping

For each option, map who's affected and how:

Stakeholder Option A Impact Option B Impact Their reaction
Affected employees
Remaining team
Customers
Investors
You

This isn't about finding the option that hurts nobody — there isn't one. It's about understanding the full picture before you decide.

Step 5: The Pre-Announcement Test

Before making the decision: write the announcement. The email to the team, the message to the customer, the conversation you'll have.

If you can't write that announcement, you're not ready to make the decision.

Writing it forces you to confront the reality of what you're doing. It also surfaces whether your reasoning holds under examination. "We're making this change because…" — does that sentence ring true?

Step 6: The Communication Plan

Hard decisions almost always get harder if communication is bad. The decision itself is not the only thing that matters — how it's done matters enormously.

For every hard call, plan:

  • Who needs to know first (the person directly affected, before anyone else)
  • How you'll tell them (in person when possible, never via email for personal impact)
  • What you'll say (honest, direct, compassionate — see references/hard_things.md)
  • What they can ask (be ready for every question)
  • What comes next (give them a clear picture of what happens after)

Decision-Specific Frameworks

Firing a Co-Founder

See references/hard_things.md — Co-Founder Conflicts for full framework.

Key questions to answer first:

  • Is this a performance problem or a values/culture problem? (Different conversations)
  • Have you been explicit — not hinted, but direct — about the problem?
  • What does the cap table look like and what are the legal implications?
  • Is there a role that works better for them, or is this a full exit?
  • Who needs to know (board, team, investors) and in what order?

The rule: If you've been thinking about this for more than 3 months, you already know the answer. The question is when, not whether.

Layoffs

Key questions:

  • Is this a one-time reset or the beginning of a longer decline? (One reset is recoverable. Serial layoffs kill culture.)
  • Are you cutting deep enough? (Insufficient layoffs are worse than no layoffs — two rounds destroys trust.)
  • Who owns the announcement and is it direct and honest?
  • What's the severance and is it fair?
  • How do you prevent the best people from leaving after?

The rule: Cut once, cut deep, cut with dignity. Uncertainty is worse than clarity.

Pivoting

Key questions:

  • Is this a true pivot (new direction) or an optimization (same direction, different tactic)?
  • What are you keeping and what are you abandoning?
  • Do you have evidence the new direction works, or are you running from failure?
  • How do you tell current customers who bought the old vision?
  • What does this do to the board's confidence?

The rule: Pivots should be pulled by evidence of new opportunity, not pushed by failure of the current path.

Killing a Product Line

Key questions:

  • What happens to customers currently using it?
  • What's the migration path?
  • What do the people who built it do?
  • Is "kill it" the right call or is "sell it" or "spin it out" better?
  • What's the narrative — internally and externally?

The Avoiding-It Test

You know you've been avoiding a hard call if:

  • You've thought about it every week for more than a month
  • You're hoping the situation will "resolve itself"
  • You're waiting for more data that you'll never feel is enough
  • You've had the conversation in your head many times but not in real life
  • Other people around you have noticed the problem

The cost of delay is almost always higher than the cost of the decision.

Every month you wait, the problem compounds. The co-founder who's not working out becomes more entrenched. The product line that needs to die consumes more resources. The person who needs to be let go affects the people around them.

Make the call. Make it clearly. Make it with dignity.

how to use hard-call

How to use hard-call 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 hard-call
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 hard-call

The skills CLI fetches hard-call 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/hard-call

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

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)
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general reviews

Ratings

4.755 reviews
  • Xiao Li· Dec 20, 2024

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

  • Diego Rahman· Dec 20, 2024

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

  • Chinedu Menon· Dec 12, 2024

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

  • Chinedu Robinson· Dec 12, 2024

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

  • Shikha Mishra· Dec 8, 2024

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

  • Diya Srinivasan· Dec 8, 2024

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

  • Rahul Santra· Nov 27, 2024

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

  • Aisha Khanna· Nov 27, 2024

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

  • Mia Gill· Nov 23, 2024

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

  • Dev Lopez· Nov 19, 2024

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

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