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Skillzwave

spanish-cooking-expert

87.0
B

Comprehensive expertise in Spanish cuisine, from traditional tapas to modern paella techniques, regional specialties, and authentic ingredient selection

Also in: security ci cd

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-cooking-expert
skilz install sandraschi/advanced-memory-mcp/spanish-cooking-expert --agent opencode
skilz install sandraschi/advanced-memory-mcp/spanish-cooking-expert --agent codex
skilz install sandraschi/advanced-memory-mcp/spanish-cooking-expert --agent gemini

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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/spanish-cooking ~/.claude/skills/

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

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Agentic Skill Details

Type
Technical
Meta-Domain
development
Primary Domain
github
Market Score
87.0

Agent Skill Grade

B
Score: 87/100 Click to see breakdown

Score Breakdown

Spec Compliance
11/15
PDA Architecture
28/30
Ease of Use
22/25
Writing Style
9/10
Utility
18/20
Modifiers: -1

Areas to Improve

  • No trigger phrases
  • Skill marked as legacy with low confidence, requiring research upgrade
  • No dated sources captured after 2024, affecting reference depth

Recommendations

  • Address 1 high-severity issues first
  • 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 spanish-cooking skill and wanted to share some thoughts.

Links:

The TL;DR

You're at 87/100, which puts you solidly in B territory — good fundamentals with real polish in your architecture. This is based on Anthropic's best practices for skill design. Your strongest area is Progressive Disclosure Architecture (28/30) — you've nailed the token efficiency and layering. The weakest spot is Spec Compliance (11/15), mainly because your description is missing trigger phrases that help Claude know when to use this skill.

What's Working Well

  • Clean module structure — Your _toc.md navigation is crystal clear, and you've kept the main SKILL.md concise while stashing the detailed recipes and techniques in separate modules. That's exactly how PDA should work.
  • Solid utility — The research checklist and example responses with input/output pairs show you actually thought about how someone would use this. The comprehensive tapas-to-paella range gives real practical value.
  • Consistent voice — Your writing stays instructional and objective throughout. No marketing fluff, just straightforward guidance on Spanish cooking techniques.

The Big One: Legacy Status & Low Confidence

This is holding you back more than anything else. Your skill is marked as "⚠️ Legacy template awaiting research upgrade" with low confidence. That's a 5-point hit right there, and it signals to users that you haven't validated your sources recently.

Here's the fix: Work through your modules/research-checklist.md systematically. Capture authoritative sources with 2024-2025 dates (not just legacy recipes). Update the status to at least medium confidence once you've verified key techniques like proper paella timing, regional tapas variations, or modern Spanish cooking trends. This alone could push you to 92/100.

Other Things Worth Fixing

  1. Add trigger phrases to your description — Right now it's "Comprehensive expertise in Spanish cuisine..." but it needs action words. Change it to: "Performs spanish cooking operations. Use when asked to 'spanish cooking', 'run spanish cooking', 'spanish recipe help', or 'paella techniques'." That's an easy +2 points.

  2. Name convention mismatch — Your folder is spanish-cooking but your skill name in frontmatter doesn't match cleanly. Align these for better discoverability (+1 point).

  3. Workflow clarity in research-checklist.md — The research checklist is good, but the workflow for actually upgrading confidence could be more explicit. Walk through: (1) Run checklist, (2) Verify 3+ sources, (3) Update status field. Right now it feels a bit abstract.

Quick Wins

  • Add trigger phrases to frontmatter description (+2 points)
  • Run through research checklist and upgrade from "legacy" to "medium confidence" (+5 points)
  • Capture fresh 2024-2025 sources in known-gaps module (+3 points)
  • Fix name convention alignment (+1 point)

These four moves could get you to 98/100 — basically production-ready.


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