signal-intel
Use when consolidating intent, product usage, and third-party signals to prioritize ABM actions.
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Installation for Agentic Skill
View all platforms →skilz install gtmagents/gtm-agents/signal-intel skilz install gtmagents/gtm-agents/signal-intel --agent opencode skilz install gtmagents/gtm-agents/signal-intel --agent codex skilz install gtmagents/gtm-agents/signal-intel --agent gemini
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/gtmagents/gtm-agents cp -r gtm-agents/plugins/abm-orchestration/skills/signal-intel ~/.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
- 91.0
Agent Skill Grade
A
Score: 91/100
Click to see breakdown
Score Breakdown
Areas to Improve
- No references/ directory or deeper implementation details
Recommendations
- Add trigger phrases to description for discoverability
- Add table of contents for files over 100 lines
Graded: 1/19/2026
Developer Feedback
I took a look at your signal-intel skill and wanted to share some thoughts.
Links:
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_worksheet.md- Detailed scoring criteria for each signal typealert_matrix_template.md- Example alert prioritization matrixroi_calculation_guide.md- How to measure and log ROI improvements
This should add roughly 5 points to your PDA score and push you toward 96/100.
Other Things Worth Fixing
Beef up the description's trigger phrases. You've got 1-2, but you could add 3-4 more like "PQL orchestration", "ABM signal priority", "deal scoring framework". Helps discoverability without bloating SKILL.md.
Add a "What This Doesn't Do" section. Signal-intel is focused on consolidation and scoring - it's not about lead generation or outbound sequencing. Being explicit about scope prevents scope creep questions.
Include one worked example. Show what a "before/after" looks like - maybe a 3-signal input and how they get consolidated into a priority score.
Quick Wins
- Add reference files → +5 points, unlocks deeper PDA
- Expand trigger phrases in description → clarity boost
- Add scope boundaries → prevents misuse
- Include 1 quick example → makes adoption frictionless
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