advocate-sourcing
Use to identify, score, and prioritize customer advocates for programs.
Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security
Installation for Agentic Skill
View all platforms →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
First time? Install Skilz: pip install skilz
Works with 22+ AI coding agents
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/gtmagents/gtm-agents cp -r gtm-agents/plugins/customer-advocacy-orchestration/skills/advocate-sourcing ~/.claude/skills/ Need detailed installation help? Check our platform-specific guides:
Related Agentic Skills
mastering-github-cli
by SpillwaveSolutionsGitHub CLI (gh) command reference for repository search, code discovery, CI/CD monitoring, workflow authoring, and automation. Triggers on "gh" comman...
mastering-github-cli
by SpillwaveSolutionsGitHub CLI (gh) command reference for repository search, code discovery, CI/CD monitoring, workflow authoring, and automation. Triggers on "gh" comman...
signal-intel
by gtmagentsUse when consolidating intent, product usage, and third-party signals to prioritize ABM actions.
meal-prep-efficiency-guru
by sandraschiExpert in batch cooking, meal planning, food storage, and efficient kitchen workflows
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
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 naming —
advocate-sourcingfollows 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 formulasreferences/templates.md— Provide the advocate roster spreadsheet template you mention but don't actually showreferences/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
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).
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).
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.
Checkout your skill here: SkillzWave.ai | SpillWave We have an agentic skill installer that install skills in 14+ coding agent platforms. Check out this guide on how to improve your agentic skills.
Browse Category
More development Agentic SkillsReport Security Issue
Found a security vulnerability in this agent skill?