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Skillzwave

diagnostics

28.6
D

Use for structured technical SEO audits, incident response, and validation.

Marketplace

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Installation for Agentic Skill

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skilz install gtmagents/gtm-agents/diagnostics
skilz install gtmagents/gtm-agents/diagnostics --agent opencode
skilz install gtmagents/gtm-agents/diagnostics --agent codex
skilz install gtmagents/gtm-agents/diagnostics --agent gemini

First time? Install Skilz: pip install skilz

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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/seo-workflow-orchestration/skills/diagnostics ~/.claude/skills/

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

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Agentic Skill Details

Repository
gtm-agents
Type
Technical
Meta-Domain
web api
Primary Domain
api
Market Score
28.6

Agent Skill Grade

D
Score: 65/100 Click to see breakdown

Score Breakdown

Spec Compliance
12/15
PDA Architecture
18/30
Ease of Use
16/25
Writing Style
7/10
Utility
11/20
Modifiers: +1

Areas to Improve

  • Templates are mentioned but not provided as reference files
  • Description lacks specific SEO keywords that would trigger skill activation
  • Framework is abstract without specific tools, APIs, or commands to execute

Recommendations

  • Focus on improving Utility (currently 11/20)
  • Address 2 high-severity issues first
  • Add trigger phrases to description for discoverability

Graded: 1/24/2026

Developer Feedback

I've been digging through the skill ecosystem and found your diagnostics tool—curious how you're approaching the observability layer here, especially given some of the architectural constraints in the broader system.

Links:

The TL;DR

You're at 65/100, solidly in D territory. This is based on Anthropic's skill best practices. Your strongest pillar is Spec Compliance (12/15)—the frontmatter is clean and valid. Your biggest drag is Utility (11/20)—the framework is solid conceptually, but it lacks the concrete tools, commands, and templates agents actually need to execute.

What's Working Well

  • Clean metadata structure — Valid YAML frontmatter with proper naming conventions (diagnostics in hyphen-case). This is foundation stuff done right.
  • Real framework logic — The five-step approach (Signal Triangulation → Hypothesis Formation → Validation) maps to actual SEO diagnostic workflows. You're not abstract for abstract's sake.
  • Spec-compliant triggers — You've got the "When to Use" section structured correctly, even if the keywords could sharpen up.

The Big One: Missing Reference Files & Templates

Here's what's holding you back the most: You mention templates but don't provide them. The skill says "Diagnostics worksheet (symptom, evidence, hypothesis, owner, next action)" and "Crawl + render checklist per environment," but agents can't actually grab these templates. They're floating in description-land instead of being actionable references.

Why it matters: Without concrete templates, an agent has to improvise the worksheet format. That burns tokens and reduces consistency. Reference files are cheap—they're your leverage for utility.

The fix: Create these three files in a references/ subdirectory:

  • references/diagnostics-worksheet.md — Actual table with columns: Symptom | Evidence | Hypothesis | Owner | Next Action
  • references/crawl-checklist.md — Environment-specific checklist (staging vs. prod)
  • references/validation-log.md — Pre/post change metrics template

This alone gets you +7 points to ~72/100.

Other Things Worth Fixing

  1. Weak trigger phrases in the description — Currently "structured technical SEO audits, incident response, and validation" is generic. Add specific keywords: "crawl errors, index drops, Core Web Vitals regression, robots.txt, GSC anomalies, Lighthouse scores." This fixes discoverability and gets you +4 points on Ease of Use.

  2. No concrete tool commands — "combine Search Console, log files, crawler output" is abstract. Agents need specifics: "Fetch GSC API data (searchanalytics.query), parse server logs with regex, run Screaming Frog crawls." Show the how, not just the what. +5 points on Utility.

  3. Missing feedback loop patterns — "Validation & Monitoring" mentions metrics but no run→check→fix protocol. Add: "Run baseline crawl → Deploy fix → Wait 24-48h → Re-crawl → Compare indexability % and response time → If regression <5%, mark resolved; else rollback." +4 points on Utility.

  4. Voice inconsistency — Mix of gerunds ("Investigating crawl anomalies...") and imperatives ("Keep historical baselines..."). Pick one. Use imperative throughout: "Investigate crawl anomalies... Maintain historical baselines..." +2 points on Writing Style.

Quick Wins

  • Add a table of contents at the top (file is only 31 lines, borderline, but it helps navigation)
  • Flesh out the description with SEO-specific keywords for agent triggers
  • Move templates to actual reference files agents can load
  • Specify tool APIs (GSC, GA4, Screaming Frog) with parameter examples
  • Standardize voice to imperative tense

Hit those two high-severity issues (templates + trigger phrases) and you're easily hitting 76/100 (C grade). Add the tool specifics and you'll push toward 80+.


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