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Hard Call

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alirezarezvani
hard-call

/em:hard-call — Framework for decisions with no good options. Use when every option is painful and a structured 10/10/10 + regret-minimization pass is needed — e.g. choosing between a layoff and a down round, or killing a beloved product line.

Overview

Publisheralirezarezvani
Repositoryclaude-skills
Skill namehard-call
Stars
26.1K
Forks
3.7K
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 alirezarezvani on GitHub. Read the source before you install it.

Installation

Install the Hard Call 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.
  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/alirezarezvani/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/c-level-advisor/executive-mentor/skills/hard-call .claude/skills/hard-call
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hard Call 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 Hard Call 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 Hard Call 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.

/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:

StakeholderOption A ImpactOption B ImpactTheir 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 ../executive-mentor/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 ../executive-mentor/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.

Frequently asked questions

What does the Hard Call AI skill do?

/em:hard-call — Framework for decisions with no good options. Use when every option is painful and a structured 10/10/10 + regret-minimization pass is needed — e.g. choosing between a layoff and a down round, or killing a beloved product line.

Why use Hard Call on TypingMind?

Because you install it once and use it with any model. Hard Call 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 Hard Call in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alirezarezvani/claude-skills/tree/main/c-level-advisor/executive-mentor/skills/hard-call. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Hard Call?

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 Hard Call?

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

Is the Hard Call AI skill free?

Yes. It is published on GitHub by alirezarezvani 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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