layer-onboarding
layer-onboarding is a Geospatial & mapping skill for AI agents, published by ianlkl11234s in the mini-taiwan-pulse repository on GitHub. Skillspace rates layer-onboarding D (60/100) and it passed the safety scan; the rating is based on static analysis only.
從資料落地到 Layer 上線的完整驗收 SOP + UX baseline 表。當用戶說「新資料要接圖層」「PMTiles 好了怎麼上」「這個 layer 為什麼點少了」「這個 layer 的透明度/大小/popup 該怎麼設」「新 layer 該檢查什麼」「上游資料改了下游要跟嗎」「跨 repo 交接資料」時觸發。用來守門「常漏點 / 常漏 UX 設定 / 跨 repo 契約沒對齊」三大痛點。與 `/new-layer` command（產骨架）互補 — 本 skill 專注**驗收 + UX 決策 + 跨 repo 對齊**。
- Grade
- D
- Quality
- 60 / 100
- Safety
- Passed
- GitHub stars
- 407
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 85 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Repo-internal: written for the repository it lives in. Names its own repos, layers and /new-layer command
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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