on-page

31 stars 7 forks
28
C

Use when crafting or refreshing pages to align copy, UX, and conversion goals with target keywords.

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Installation for Agentic Skill

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skilz install gtmagents/gtm-agents/on-page
skilz install gtmagents/gtm-agents/on-page --agent opencode
skilz install gtmagents/gtm-agents/on-page --agent codex
skilz install gtmagents/gtm-agents/on-page --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/seo/skills/on-page ~/.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
Non-Technical
Meta-Domain
productivity
Primary Domain
pdf
Market Score
28

Agent Skill Grade

C
Score: 76/100 Click to see breakdown

Score Breakdown

Spec Compliance
12/15
PDA Architecture
22/30
Ease of Use
19/25
Writing Style
8/10
Utility
14/20
Modifiers: +1

Areas to Improve

  • Missing Template Files
  • No Validation or Feedback Loops
  • Description Lacks Technical Triggers

Recommendations

  • Address 2 high-severity issues first
  • Add trigger phrases to description for discoverability
  • Add table of contents for files over 100 lines

Graded: 2026-01-24

Developer Feedback

I checked out the on-page skill and noticed your approach to progressive disclosure feels solid, but I'm curious why you opted for the current information architecture instead of a hierarchical expand/collapse pattern—seems like there might be some token efficiency gains on the table there.

Links:

The TL;DR

You're at 76/100, solid C-grade territory. This is based on Anthropic's skill best practices framework. Your Spec Compliance (12/15) is the strongest pillar—the YAML frontmatter is clean and the naming conventions are tight. But Utility (14/20) and PDA (22/30) are dragging the score down because you're describing templates instead of providing them, and there's no real validation loop to help users confirm their work.

What's Working Well

  • Clean metadata structure – Your frontmatter is valid YAML with all required fields, and the hyphen-case naming follows conventions perfectly
  • Clear actionable framework – The 8-step progression from Meta Data through Internal Linking gives users a logical roadmap without getting lost in the weeds
  • Good technical focus – Zero marketing language here; you're staying purely instructional, which keeps things grounded and credible
  • Trigger terms help discoverability – "Crafting or refreshing pages" combined with "conversion goals" and "target keywords" gives search/discovery a decent chance of surfacing this

The Big One: Missing Template Files

This is the heavyweight issue holding you back. You mention three templates—optimization diff table, CTA matrix, and internal link planner—but they're just described, not provided. Users hit step 4 and think, "Okay, but what does this actually look like?"

Here's the fix: Create three reference files: -...

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