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advocate-sourcing

28.6
D

Use to identify, score, and prioritize customer advocates for programs.

Marketplace
Also in: ci cd

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Installation for Agentic Skill

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skilz install gtmagents/gtm-agents/advocate-sourcing
skilz install gtmagents/gtm-agents/advocate-sourcing --agent opencode
skilz install gtmagents/gtm-agents/advocate-sourcing --agent codex
skilz install gtmagents/gtm-agents/advocate-sourcing --agent gemini

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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/customer-advocacy-orchestration/skills/advocate-sourcing ~/.claude/skills/

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

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Agentic Skill Details

Repository
gtm-agents
Type
Non-Technical
Meta-Domain
development
Primary Domain
github
Market Score
28.6

Agent Skill Grade

D
Score: 62/100 Click to see breakdown

Score Breakdown

Spec Compliance
11/15
PDA Architecture
16/30
Ease of Use
16/25
Writing Style
7/10
Utility
11/20
Modifiers: +1

Areas to Improve

  • No trigger phrases
  • All content in single file; no layered structure with references for scoring models, templates, or detailed workflows.
  • Description lacks specific, searchable trigger phrases that users would type.

Recommendations

  • Focus on improving Pda (currently 16/30)
  • Focus on improving Utility (currently 11/20)
  • Address 2 high-severity issues first

Graded: 1/24/2026

Developer Feedback

I've been digging through the skill grading results and noticed your advocate-sourcing skill landed at 62/100 — the scoring suggests some solid foundational thinking around sourcing strategies, but there's clearly room to tighten up the documentation and make the use cases more concrete for developers actually trying to implement this.

Links:

The TL;DR

You're at 62/100, which puts you in D territory. This is based on Anthropic's 5-pillar rubric for skill quality. Your strongest area is Spec Compliance (11/15) — the frontmatter is solid and naming is correct. The weak spot is Progressive Disclosure Architecture (16/30) — everything's crammed into one file with no reference structure to organize the complexity.

What's Working Well

  • Valid frontmatter structure — Your YAML is clean and follows conventions properly
  • Clear framework thinking — The 5-step workflow (Signal Collection → Scoring → Tiering → Backlog Management → Consent Tracking) is logically sound
  • Hyphen-case namingadvocate-sourcing follows the right conventions

The Big One: Missing PDA Structure (High Priority)

Right now, you've got everything in a single SKILL.md file. The report notes you have zero reference files, which kills your PDA score (-6 points potential gain). Here's the fix:

Create a references/ directory with three files:

  • references/scoring-model.md — Externalize that "weight value delivered, relationship strength" thinking with actual examples and formulas
  • references/templates.md — Provide the advocate roster spreadsheet template you mention but don't actually show
  • references/consent-tracking.md — Detail the compliance workflow separately

This alone gets you to 22/30 on PDA. The point is: developers need templates and scoring weights before they ask follow-ups. Layer it.

Other Things Worth Fixing

  1. Add trigger phrases to the description — Currently it says "Use to identify, score, and prioritize customer advocates." Real users search for "score customer advocates" or "build reference pool." Add those exact phrases to your frontmatter description field (+2 points).

  2. Make the framework actionable — "Signal Collection – product usage, NPS, expansion" is too abstract. Change it to: "Collect signals: Query CRM for usage metrics → Export NPS scores → Flag expansion accounts → Aggregate community participation data." Checklist format, not prose (+2 points).

  3. Add a validation step — The framework ends at Backlog Management with no feedback loop. Add: "Validate: Test scoring on 5 known advocates → Adjust weights if tiers mismatch → Re-run quarterly." This addresses the "no guidance on testing accuracy" hit (-1 point on Utility) (+3 points).

Quick Wins

  • Move templates out of prose — Create actual CSV/JSON examples in references/templates/
  • Specify scoring weights — Don't just say "weight these things" — show: Value Delivered (40%), Relationship Strength (30%), Storytelling (20%), Risk (-10%)
  • Add real trigger phrases — "when asked to 'score customer advocates', 'build reference pool', 'identify champions', 'audit advocacy coverage'"

Hit these and you're looking at ~77-80/100. The structure gaps are your main drag right now.


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