Automate Feishu Lark approval instance and task management via lark-cli.
npx skills add https://github.com/mykcs/myk-skills --skill lark-approval-mykcs
Please help me install this Agent Skill. Skill: lark-approval Source: https://github.com/mykcs/myk-skills/tree/main/lark-approval Command: npx skills add https://github.com/mykcs/myk-skills --skill lark-approval-mykcs
Lark approvals involve multi-step workflows (initiating, approving, rejecting, transferring, and querying tasks) where you need reliable API calls and correct parameter structures to avoid failures and mis-scoped permissions.
lark-cli schema to inspect --data / --params structures before performing any API operation, reducing guesswork and malformed requests.Use Case Example: You need to process a batch of approval tasks for a team; you can query tasks, then approve or transfer them based on business rules, while ensuring each action uses the correct scopes.
Run the lark-cli schema command for the approval resource and method you need, then execute the corresponding lark-cli approval command to perform the action.
High-intent search queries and answers about installing and using this skill.
Automate Feishu approval workflows by using lark-cli to retrieve instances, approve or reject tasks, transfer assignments, and send reminders. You must run the `lark-cli schema` command first to validate parameters before executing any approval API operations.
Schema-first validation inspects `--data` and `--params` structures via `lark-cli schema approval.<resource>.<method>` before executing API operations. This mechanism reduces malformed requests and enforces method-specific scope requirements for safe API execution.
Yes, you can query your task list and batch process approval tasks by approving, rejecting, or transferring them based on business rules. The lark-cli interface supports querying initiated or assigned approval items to complete real-world enterprise workflow flows.
Track Feishu approval instance states by getting instance details, canceling instances, sending CC, and listing initiated approvals. These approval instance management operations allow you to monitor the complete workflow state through the lark-cli interface.
Managing Feishu approvals requires method-specific API permissions enforced through scope requirements. The schema-first approach ensures you validate the necessary scopes for each action—retrieving details, approving, rejecting, or transferring tasks—before safe API execution.
Feishu approval API calls fail with malformed requests when parameter structures are incorrect. You must inspect `--data` and `--params` structures using `lark-cli schema approval.<resource>.<method>` before performing any API operation to reduce guesswork and ensure correct formatting.
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