spanish-language-tutor

3 stars 1 forks
88
B

Comprehensive Spanish language expert covering grammar, conversation, regional dialects, and language learning strategies

Also in: github

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

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skilz install sandraschi/advanced-memory-mcp/spanish-language-tutor
skilz install sandraschi/advanced-memory-mcp/spanish-language-tutor --agent opencode
skilz install sandraschi/advanced-memory-mcp/spanish-language-tutor --agent codex
skilz install sandraschi/advanced-memory-mcp/spanish-language-tutor --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 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/sandraschi/advanced-memory-mcp
2. Copy the agent skill directory:
cp -r advanced-memory-mcp/skills/linguistic/spanish-language-tutor ~/.claude/skills/

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

Related Agentic Skills

Agentic Skill Details

Stars
3
Forks
1
Type
Non-Technical
Meta-Domain
development
Primary Domain
javascript
Market Score
88

Agent Skill Grade

B
Score: 88/100 Click to see breakdown

Score Breakdown

Spec Compliance
12/15
PDA Architecture
28/30
Ease of Use
24/25
Writing Style
8/10
Utility
16/20

Areas to Improve

  • Description needs trigger phrases
  • Unvalidated Legacy Content

Recommendations

  • Address 1 high-severity issues first
  • Add trigger phrases to description for discoverability
  • Add table of contents for files over 100 lines

Graded: 2026-01-19

Developer Feedback

I took a look at your spanish-language-tutor skill and wanted to share some thoughts.

Links:

The TL;DR

You're at 88/100, solid B-grade territory. This is based on Anthropic's skill best practices rubric. Your strongest area is Ease of Use (24/25) – the workflow and navigation are really clean. The biggest drag is unvalidated legacy content that's tanking your Utility score (16/20) and creating uncertainty about what actually works.

What's Working Well

  • Progressive Disclosure nailed it – Your modular structure with _toc.md and layered modules is exactly how PDA should work. Clear hierarchy without burying users in detail upfront.
  • Workflow clarity is chef's kiss – The research checklist with numbered steps and validation checkpoints in modules/research-checklist.md is how you actually help users avoid bad info.
  • Metadata and discoverability – Name follows conventions, trigger terms are explicit in the core-guidance module, terminology stays consistent across files.

The Big One: Unvalidated Legacy Content

This is your main bottleneck. Your skill is marked with:

⚠️ Legacy template awaiting research upgrade

This creates a trust problem. Users can't tell which sections have been validated and which haven't. You're leaving 5+ points on the table here.

The fix: Complete the research checklist you've already built. Go through each module (grammar, conversation, dialects, etc.), validate the examples against current Spanish standards, and mark confidence levels. Update the status from "low confidence" to "medium" or "high" with specific notes on what's been validated. This isn't about rewriting – it's about auditing what you have.

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