Loading…
查询番知票务项目及单项目经营数据。当用户问“查项目”“名字里带某个词的项目”“列出本店/在售项目”“还有多少票/余票”“有哪些场次票档、何时开售”“项目收入或售票数”“各渠道或票种销售”“票档库存”“出票类型”“项目核销”“场次上座率”等项目定位与分析问题时使用。不用于订单明细、单张票码核销记录、会员画像、全店项目排行或项目上下架。
fanzhi-project is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # 番知项目查询与报表 只处理当前用户已授权店铺中的项目读取。若尚未确认店铺，先用 `mcp_access_context_list` 展示候选并取得用户确认的 `target_shop_id`；不要猜店铺 ID。参数和枚举始终以当前工具 Schema 为准。 开始前必须先读 [总入口的最高优先级单项失败隔离、输出闸门. 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 fanzhi-project to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install infometa/workbuddyskillsReview 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.
# 番知项目查询与报表 只处理当前用户已授权店铺中的项目读取。若尚未确认店铺，先用 `mcp_access_context_list` 展示候选并取得用户确认的 `target_shop_id`；不要猜店铺 ID。参数和枚举始终以当前工具 Schema 为准。 开始前必须先读 [总入口的最高优先级单项失败隔离、输出闸门与调用前置](../fanzhi-tic