Encapsulate Feishu API actions into reusable lark-cli SKILL.md templates.
npx skills add https://github.com/eatbreads/.agents --skill lark-skill-maker-eatbreads
Please help me install this Agent Skill. Skill: lark-skill-maker Source: https://github.com/eatbreads/.agents/tree/main/skills/lark-skill-maker Command: npx skills add https://github.com/eatbreads/.agents --skill lark-skill-maker-eatbreads
This Skill Maker streamlines turning Feishu (Lark) API operations into consistent, reusable SKILL.md templates so teams can rapidly create CLI-based automation without reinventing documentation and orchestration patterns.
Generate a new lark-<name> SKILL.md using the provided template and use lark-cli to discover required endpoints, parameters, and scopes before implementing commands.
High-intent search queries and answers about installing and using this skill.
To create reusable Feishu API automation, you encapsulate OpenAPI actions into standardized SKILL.md templates using lark-cli. This scaffolding provides consistent command sequences and documentation for single-call wrappers or multi-step workflow orchestrations.
To discover Feishu OpenAPI endpoints, you use lark-cli to list registered APIs and inspect parameter schemas. When shortcuts are unavailable, lark-cli allows you to invoke raw OpenAPI endpoints directly to test and document the required command sequences.
Yes, you need lark-cli installed to build Feishu CLI skills. The skill creation workflow requires lark-cli to discover registered APIs, view schemas, call raw OpenAPI endpoints, and document required scopes before implementing the final automation commands.
The best way to document authentication scopes for multi-step Feishu workflows is to use a SKILL.md template. It guides you to record required scopes, authentication steps, and multi-step data passing to ensure reliable automation and consistent team provisioning.
Yes, you can orchestrate multi-step Feishu provisioning flows by invoking raw OpenAPI endpoints through lark-cli. The SKILL.md template helps you document the required command sequences, dry-run recommendations, and data passing for reliable custom integrations.
Limitations of using SKILL.md templates include dependency on lark-cli for API discovery and execution, and the need to manually document required scopes and dry-run recommendations when wrapping raw OpenAPI endpoints that lack predefined shortcuts.
ZJU-REALCreates reusable AI Skills for Feishu API operations using lark-cli.
StrayDragonGuide Feishu Open Platform Python development with lark-oapi SDK.
zephyrwang6Create reusable lark-cli skills for Feishu API workflows.
HuXiangyu123Wrap Feishu API calls into reusable Lark Skills with SKILL.md metadata.
