signal-intel

I took a look at your signal-intel skill and wanted to share some thoughts.

Links:

• GitHub
• Your agentic skill in the SkillzWave marketplace

The TL;DR

You're at 91/100, solidly in A territory. This skill is production-ready and handles its core job really well. The evaluation is based on Anthropic's best practices for skill design. Your strongest area is Ease of Use (25/25 - perfect score), but Progressive Disclosure Architecture is leaving some points on the table at 23/30.

What's Working Well

• Ease of Use is locked in. Your metadata is clean, the trigger terms are crystal clear ("consolidate signals", "scoring framework"), and the workflow steps are numbered and scannable. No friction here.
• Zero fluff in the writing. Every sentence earns its place - you're not padding the description or over-explaining. That imperative voice stays consistent throughout.
• The ABM signal consolidation problem is real. This solves an actual capability gap for teams trying to consolidate deal signals, and the ROI feedback loop you included shows you thought about practical outcomes.

The Big One: Reference Files Are Missing

This is the main thing holding you back from a perfect PDA score. You're currently sitting at 23/30 because there's no references/ directory with deeper implementation guidance.

Why it matters: Progressive Disclosure means offering light, quick answers upfront, then letting users dig deeper if they want. Right now, your SKILL.md is tight and efficient (which is good), but there's nowhere for someone to go when they need the detailed scoring rubrics or alert matrix templates.

Concrete fix: Create a references/ directory with:

• `signal_scoring_wo...