nurture-testing

31 stars 7 forks
28
D

Use when planning, executing, and logging nurture experiments and regression tests.

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Installation for Agentic Skill

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skilz install gtmagents/gtm-agents/nurture-testing
skilz install gtmagents/gtm-agents/nurture-testing --agent opencode
skilz install gtmagents/gtm-agents/nurture-testing --agent codex
skilz install gtmagents/gtm-agents/nurture-testing --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

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Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/gtmagents/gtm-agents
2. Copy the agent skill directory:
cp -r gtm-agents/plugins/lead-nurture-orchestration/skills/nurture-testing ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

Related Agentic Skills

Agentic Skill Details

Repository
gtm-agents
Stars
31
Forks
7
Type
Technical
Meta-Domain
media
Primary Domain
monitoring
Market Score
28

Agent Skill Grade

D
Score: 64/100 Click to see breakdown

Score Breakdown

Spec Compliance
12/15
PDA Architecture
15/30
Ease of Use
17/25
Writing Style
7/10
Utility
12/20
Modifiers: +1

Areas to Improve

  • Missing Reference Files for Templates
  • No Actionable Workflow Steps
  • Missing Validation Feedback Loop

Recommendations

  • Focus on improving Pda (currently 15/30)
  • Address 2 high-severity issues first
  • Add trigger phrases to description for discoverability

Graded: 2026-01-24

Developer Feedback

I've been digging into your testing skill and I'm curious why you chose the nurture-focused approach—that's a pretty different angle from most testing frameworks I see out there, but at a 64/100 there seem to be some gaps in how it's structured that might be limiting its reach.

Links:

The TL;DR

You're at 64/100, solidly in D-grade territory. This is based on Anthropic's skill best practices rubric across 5 pillars. Your strongest area is Spec Compliance (12/15)—the metadata and formatting are clean. But Progressive Disclosure Architecture is dragging you down hard at 15/30. The core issue is you've got good foundational content, but it's all crammed into 32 lines with no layering, no references directory, and no actual templates to back up what you're describing.

What's Working Well

  • Solid spec compliance – Your YAML frontmatter is valid and the skill name follows hyphen-case conventions correctly
  • Clear "When to Use" scenarios – You've got specific trigger phrases like "QA nurture campaigns" and "regression test nurture flows" that actually help with discoverability
  • Consistent terminology – You stick with "nurture flows," "experiments," and "regression tests" throughout, which keeps things coherent
  • Grep-friendly structure – The file is well-organized enough for basic searching (+1 modifier bonus)

The Big One: Missing Reference Files

Here's what's killing your PDA score: You mention Templates section with "Experiment brief + tracker," "QA matrix," and "Evidence archive folder structure," but then... nothing. No actual files. This violates the layered structure principle that makes skills token-efficient and useful.

Fix: Create a references/ su...

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