Agent skill

gourmet-research

Use when creating or updating evidence-based gourmet research outputs for cities (restaurants/cafes/desserts) that require multi-source evidence, standardized scoring, and structured city folders.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill gourmet-research-narumiruna-agent-skills --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/analysis/gourmet-research-narumiruna-agent-skills/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Gourmet Research ## Overview Template-first workflow for traceable, comparable, auditable food recommendations across cities. Keep evidence, scores, and decisions synchronized. ## Core Rules (Non-Negotiable) - If the user has not specified an **output language**, ask once at project start and record it in `overview.md`. - Use **gourmet/<city-slug>/** with 6 files: `overview.md`, `inbox.md`, `candidates.md`, `notes.md`, `top-places.md`, `excluded.md`. - **Never fabricate** sources, ratings, or claims. Use `unknown` when missing. - Prefer **original-language place names** (not translated) unless the user requests otherwise. - **Preserve audit trail**: never delete candidates; mark `rejected` and record why in `excluded.md`. - Default **minimum sources = 4**. If the locale is information-sparse, allow **3** only when you record `evidence: limited` with the reason and attempted sources. ## Template-First Workflow (Summary) 1. **Initialize**: Ask for output language + city, then copy templates from `assets/templates/` into the city folder. 2. **Normalize**: Update language/city placeholders in the copied files before research begins. 2. **Discovery**: Capture raw ideas in `inbox.md`,

What's inside
Steps it walks through
  1. Overview
  2. Core Rules (Non-Negotiable)
  3. Template-First Workflow (Summary)
  4. Ranking Retrieval (When user asks for “highest score”)
  5. Evidence & Negative Review Rules
  6. Locale-Specific Source Suggestions (Optional)
  7. Scoring (50-Point Rubric)
  8. Roles (Optional, Compact)
  9. Quick Reference
  10. Example (Evidence Block)
  11. Common Mistakes
  12. Rationalization Table
  13. Red Flags — Stop and Fix
  14. References
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the gourmet-research skill do?

Use when creating or updating evidence-based gourmet research outputs for cities (restaurants/cafes/desserts) that require multi-source evidence, standardized scoring, and structured city folders.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill gourmet-research-narumiruna-agent-skills --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going