researching-gourmet-venues

v2026.09.24

Deprecated internal workflow for auditable city-based food research with multi-source evidence, scope-checked rankings, standardized scoring, and synchronized candidate, recommendation, and exclusion files.

GitHub
安装命令
npx skhub add narumiruna/researching-gourmet-venues
Markdown
SKILL.md

Researching Gourmet Venues (Deprecated Reference)

This rarely used workflow is excluded from active discovery but retained for explicit local compatibility. Keep evidence, scores, and decisions traceable across a six-file city research pack.

Initialize

  1. Resolve city and output language. Ask once only when language is unspecified, then record it in overview.md.
  2. Copy assets/templates/ into gourmet/<city-slug>/ to create overview.md, inbox.md, candidates.md, notes.md, top-places.md, and excluded.md; replace placeholders before research.
  3. Preserve original-language venue names unless the user requests translation.

Never fabricate sources, ratings, hours, or claims. Use unknown. Never delete a candidate: mark it rejected and record the reason in excluded.md.

Research and Score

  1. Capture raw discoveries in inbox.md, then move viable entries to candidates.md with status.
  2. Build a notes.md evidence block for each candidate with practical constraints. Require four independent source roles by default: official channel, maps/aggregator, local reviews, and guide/editorial.
  3. In an information-sparse locale, use three sources only after recording evidence: limited, why, and attempted sources. Do not score or publish a recommendation with fewer sources outside this exception.
  4. When repeated service complaints, hygiene/safety concerns, tourist-trap claims, extreme queues, inconsistent ratings, or unclear access appear, add a focused negative-review section and reflect it in scoring.
  5. Score and justify each component: Taste/Quality, Value, Convenience, Consistency, and Risk (0–10 each; higher Risk score means lower practical risk).
  6. Classify totals: Top Pick ≥35, Backup 30–34, Reject <30 or a hard safety/tourist-trap exclusion.
  7. Synchronize status and score across notes.md, candidates.md, top-places.md, and excluded.md. Leave no unresolved inbox status in the final pack.

Ranking Retrieval

Before returning “highest score” or top-N results, confirm:

  • exact geographic boundary, including suburbs, islands, or neighboring regions
  • overall versus cuisine/category scope
  • source URL/page title and any area identifier

Handle consent, language, or location gates so list items actually render. If static extraction fails, use available browser tooling; do not substitute a nearby ranking scope. Record exclusions needed to enforce the requested boundary.

Verification

Check all six files exist; language and original-name policy are recorded; claims and ratings have sources or unknown; limited evidence and negative-review triggers are documented; score arithmetic and thresholds are correct; and every candidate appears consistently in recommendation or exclusion outputs.

Return the requested recommendations first, then source coverage, score rationale, practical caveats, and any unresolved evidence gap.

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版本
最新版本元数据

版本

v2026.09.24

发布时间

Sep 24, 2026

分类

未分类

许可证

MIT

源路径

deprecated/researching-gourmet-venues

默认分支

main

最新提交

519bdaa

Tree SHA

973f4e0