recommendation-canvas
Evaluate an AI product idea across outcomes, hypotheses, risks, and positioning. Use when deciding whether an AI solution deserves investment or recommendation.
npx skills add deanpeters/Product-Manager-Skills --skill recommendation-canvas --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## 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. **Arriving empty-handed? That works too.** The skill asks for the idea and the decision-maker, then works through the canvas boxes. **Example invocation:** `Recommendation canvas: AI-suggested reorde
- Purpose
- Input
- Key Concepts
- The Recommendation Canvas Framework
- Why This Works
- Anti-Patterns (What This Is NOT)
- When to Use This
- When NOT to Use This
- Application
- Step 1: Gather Context
- Step 2: Define Outcomes
- Step 3: Frame the Problem
- Step 4: Define the Solution Hypothesis
- Step 5: Define Positioning
What does the recommendation-canvas skill do?
Evaluate an AI product idea across outcomes, hypotheses, risks, and positioning. Use when deciding whether an AI solution deserves investment or recommendation.
How do I install it?
Run `npx skills add deanpeters/Product-Manager-Skills --skill recommendation-canvas --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From deanpeters/Product-Manager-Skills, a repository with 6,255 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.