# recommendation-canvas

> Claude/Codex skill by [@deanpeters](https://omgskills.com/library/deanpeters/index.md) · 7.5k stars · Updated 2026-10-16

Evaluate an AI product idea across outcomes, hypotheses, risks, and positioning. Use when deciding whether an AI solution deserves investment or recommendation.

Tags: ai-agents, ai-product-management, claude-skills, pm-frameworks, product-management

## Install

```sh
git clone https://github.com/deanpeters/Product-Manager-Skills /tmp/Product-Manager-Skills && ln -s /tmp/Product-Manager-Skills/skills/recommendation-canvas ~/.claude/skills/recommendation-canvas
```

## From README

Purpose Evaluate and propose AI product solutions using a structured canvas that assesses business outcomes, customer outcomes, problem framing, solution hypotheses, positioning, risks, and value justification. Use this to build a comprehensive, defensible recommendation for stakeholders and decision-makers—especially when proposing AI-powered features or products that carry higher uncertainty and risk. This is not a feature spec—it's a strategic proposal that articulates why this AI solution is worth building, what assumptions need validating, and how you'll measure success. Input Works best with: The AI product or feature idea being evaluated. Also useful: Target customer, expected business outcome, known risks, and who the recommendation must convince. Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended ARGUMENTS: line — counts as answers already given. Use it and skip whatever it covers; don't re-ask.

## Links

- HTML page: https://omgskills.com/skills/deanpeters/product-manager-skills/recommendation-canvas/
- GitHub: https://github.com/deanpeters/Product-Manager-Skills
- Author: [@deanpeters](https://omgskills.com/library/deanpeters/index.md)

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