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城市旅游推荐 Skill。根据用户提供的城市、出行时长、想玩/想吃、 人流偏好、预算、出行类型，以及补充的图片或文字信息，输出景点推荐、 美食推荐和可执行的玩吃组合路线。第一阶段重点支持“玩 + 吃”场景， 采用轻量规则筛选与场景化输出。
travel-skill is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # Travel Skill — 轻量规则版 MVP ## 一、Skill 定位 这是一个面向城市旅游场景的推荐 Skill，目标不是简单罗列景点，而是根据用户条件给出更适合执行的建议。 第一阶段聚焦三类能力： 1. 景点推荐 2. 美食推荐 3. 玩 + 吃组合推荐 核心差异化在于： - 按人流偏好区分推荐结果 -. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding travel-skill to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install Leon-KTlan/travel-skillReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# Travel Skill — 轻量规则版 MVP ## 一、Skill 定位 这是一个面向城市旅游场景的推荐 Skill，目标不是简单罗列景点，而是根据用户条件给出更适合执行的建议。 第一阶段聚焦三类能力： 1. 景点推荐 2. 美食推荐 3. 玩 + 吃组合推荐 核心差异化在于： - 按人流偏好区分推荐结果 - 把景点和美食联动起来 - 用场景化方式输