Query personal attendance check-in records via the Lark attendance API.
npx skills add https://github.com/TrayMachi/dotfiles --skill lark-attendance-traymachi
Please help me install this Agent Skill. Skill: lark-attendance Source: https://github.com/TrayMachi/dotfiles/tree/main/agents/skills/lark-attendance Command: npx skills add https://github.com/TrayMachi/dotfiles --skill lark-attendance-traymachi
user_tasks.query API through lark-cli to fetch your personal clock-in and clock-out records. - Automatic Parameter Filling: Automatically injects required parameters (employee_type as "employee_no" and user_ids as an empty array) so you never have to provide them manually. - Schema-First API Calls: Inspects the API parameter structure with lark-cli schema before every call to avoid malformed requests. - Use Case: Ask the assistant to show your check-in times for this week, and it queries the Lark attendance API and returns your punch records. ## Quick Start Ask the assistant to query my Lark attendance check-in records for this month.High-intent search queries and answers about installing and using this skill.
Use lark-cli with the attendance user_tasks query method after checking the parameter structure via lark-cli schema. The skill automatically fills employee_type as employee_no and user_ids as an empty array, so you only supply date or filter parameters.
Querying attendance records requires the attendance:task:readonly scope granted to the Lark app used by lark-cli. Without this scope, the user_tasks.query API call will fail with a permission error.
This skill is designed to query your own attendance records and always sends user_ids as an empty array. It does not support querying other employees' punch data.
Failures usually come from guessing the --data or --params field format. Always run lark-cli schema attendance.user_tasks.query first to inspect the exact expected structure before invoking the API.
The lark-cli binary must be installed and authenticated. The skill also depends on the shared lark-shared instructions for authentication and permission handling, which must be read before making any API call.
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