spanish-language-tutor
Comprehensive Spanish language expert covering grammar, conversation, regional dialects, and language learning strategies
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 sandraschi/advanced-memory-mcp/spanish-language-tutorskilz install sandraschi/advanced-memory-mcp/spanish-language-tutor --agent opencodeskilz install sandraschi/advanced-memory-mcp/spanish-language-tutor --agent codexskilz install sandraschi/advanced-memory-mcp/spanish-language-tutor --agent geminiFirst time? Install Skilz: pip install skilz
Works with 14 AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/sandraschi/advanced-memory-mcpcp -r advanced-memory-mcp/skills/linguistic/spanish-language-tutor ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- sandraschi (GitHub)
- Repository
- advanced-memory-mcp
- 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
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.mdand 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.mdis 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.
Other Thing...
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