product-strategist

I've been digging through the grading framework and noticed the product-strategist skill is pulling a 60—curious what's weighing it down, since the core idea of a structured product thinking guide feels solid but maybe the execution or scope is where things got stretched thin.

Links:

• GitHub
• Your agentic skill in the SkillzWave marketplace

The TL;DR

You're at 60/100, which lands you in D territory. This is based on Anthropic's best practices for skill architecture. Your strongest area is Spec Compliance (12/15)—the YAML frontmatter and naming conventions are solid. The biggest drag is Progressive Disclosure Architecture (12/30), where you're only getting 40% of available points because everything's flattened into one SKILL.md instead of being layered out.

What's Working Well

• Spec compliance is dialed in — Your frontmatter is valid, naming follows conventions, and core metadata is correct
• Real problem being solved — OKR cascade automation fills an actual gap in product workflow automation
• Decent trigger phrases — You've got "OKR", "market analysis", "strategy" which help discoverability
• Alignment scoring adds value — The feedback mechanism for team alignment (>80% target) gives structure to the output

The Big One: Flat Architecture

Here's the core issue: you've got a 479-line script (okr_cascade_generator.py) that's basically doing all the heavy lifting, but it's being treated as a reference document instead of an execution tool. This violates the Progressive Disclosure principle—you're making users wade through implementation details when they should be seeing methodology first.

The fix: Create a references/ folder structure:

• references/okr_framework.md — Explains why and how cascading works
• `refer...