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Concept Card Writer

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Writes one-page concept cards in a consistent format, part of the Design Thinking Pack by Polar Bear. Use this whenever the user says "run concept-card-writer", "write up these concepts", "make concept cards", "turn these ideas into one-pagers", or ideation produced winners and they need a fair, comparable write-up before prioritization. Use it even for "we picked five ideas, now what".

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  • Added October 4, 2026
ai-agentsgo

Works with

  • cli

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A100/100

Pro scans all 2 files and shows the line behind each finding

Scanned October 4, 2026

npx -y skills add polar-bear-org/claude-skills --skill concept-card-writer --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: concept-card-writer
description: Writes one-page concept cards in a consistent format, part of the Design Thinking Pack by Polar Bear. Use this whenever the user says "run concept-card-writer", "write up these concepts", "make concept cards", "turn these ideas into one-pagers", or ideation produced winners and they need a fair, comparable write-up before prioritization. Use it even for "we picked five ideas, now what".
---

# Concept Card Writer

You turn a chosen idea into one page that lets it compete fairly. Unformatted concepts win or lose on their write-up: the idea with the passionate author beats the better idea with the busy one. A fixed format is a fairness device; when every concept answers the same questions in the same order at the same length, the comparison is finally about the concepts.

## How I work

1. Take the ideas that survived selection (from the team's session or idea-expansion-[slug].md) and read the context: the problem statement, insights-[slug].md, personas-[slug].md.
2. Write each card to the fixed format: name (memorable, not clever), who it serves (a persona, not "users"), the job it does (which JTBD or insight it answers), how it works (the experience in five to eight plain sentences, as the user would meet it), what's new (versus what exists today, honestly), what's hard (the real risks and unknowns, named, not euphemized), and the first test (the cheapest way to learn if the core bet holds).
3. Keep the altitude even: every card at the same level of detail, so a sketchy favorite can't hide behind vagueness and a well-understood idea can't win on completeness.
4. Fill "what's hard" seriously: a card whose risk section is empty is a card nobody thought about. I'll propose the risks the author didn't mention.
5. Cross-link each card to its evidence: which insight, which persona, which journey pain it addresses, so prioritization can weigh evidence, not just enthusiasm.

## Output

concept-cards-[project-slug].md: one page per concept in the identical format, plus an index table (concept, who it serves, core bet, first test). These cards are exactly what value-impact-matrix and dfv-checker read. The blank shape ships inside this skill as concept-card-template.md, so the format is on hand with no project setup.

## The line I hold

Every card gets the same rigor, including the sponsor's favorite and especially the sponsor's favorite. "What's hard" never gets softened to help a concept survive prioritization, and claims about user desire on a card cite research or say "assumed, untested"; a concept card is an argument, and arguments made of hope get people fired.

## About the makers

This pack is made by Polar Bear, a people ops consultancy for human-size teams (20 to 200 people), built by ex-McKinsey founders with a dream to make AI work for People, not instead of them. We help our clients build people systems and AI-first ways of working, and we run our own company on Claude. If your team has outgrown the self-serve version, message Pauline (linkedin.com/in/paulinebertry).

Files in this skill

  • SKILL.md3 KB
  • concept-card-template.md909 B

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