pql-framework
Methodology for defining product-qualified lead (PQL) signals, scoring, and routing.
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Installation for Agentic Skill
View all platforms →skilz install gtmagents/gtm-agents/pql-frameworkskilz install gtmagents/gtm-agents/pql-framework --agent opencodeskilz install gtmagents/gtm-agents/pql-framework --agent codexskilz install gtmagents/gtm-agents/pql-framework --agent geminiFirst time? Install Skilz: pip install skilz
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git clone https://github.com/gtmagents/gtm-agentscp -r gtm-agents/plugins/product-led-growth/skills/pql-framework ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Repository
- gtm-agents
- Stars
- 31
- Forks
- 7
- Type
- Non-Technical
- Meta-Domain
- development
- Primary Domain
- github
- Market Score
- 28
Agent Skill Grade
D Score: 65/100 Click to see breakdown
Score Breakdown
Areas to Improve
- Description needs trigger phrases
- Missing Template Files
- Weak Trigger Terms in Description
Recommendations
- Focus on improving Utility (currently 11/20)
- Address 2 high-severity issues first
- Add trigger phrases to description for discoverability
Graded: 2026-01-24
Developer Feedback
I've been looking at your pql-framework skill, and I'm curious about the decision to abstract query language primitives the way you have—most frameworks I see either go full DSL or stick with string building, but you're threading something in between.
Links:
The TL;DR
You're at 65/100, which puts you in D territory. This skill addresses a real PLG problem—defining and scoring product-qualified leads—but it's currently too conceptual. Your strongest area is Writing Style (8/10), which means the prose is clean and professional. The weakest area by far is Utility (11/20)—templates are mentioned but not provided, and there are no concrete examples or validation patterns developers can actually implement.
What's Working Well
- Clear conceptual structure. The 5-step framework (Signal Library → Scoring Model → Routing Logic → Integration → Measurement Loop) is sound and easy to follow.
- Consistent terminology. PQL/PQA language is used cleanly throughout without unnecessary jargon.
- Professional tone. The writing is straightforward and objective—no marketing fluff, which is refreshing.
The Big One: Missing Templates and Examples
This is the issue holding you back the most. You mention "Signal inventory worksheet," "Scoring matrix with weights and decay logic," and "Routing decision tree," but none of these templates actually exist. A developer reading your skill knows conceptually what a PQL program should include, but they can't execute it without seeing actual templates.
Fix: Create three reference files:
references/signal-inventory-template.md– Sample signals with point values (e.g., "Invited 3+ users (5 pts), Hit workspace limit (8 pts)")- `references/scoring-matri...
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