autumnseasonism

AI Agent Skill - 扫描飞书全平台待办事项,智能排序,直接处理或创建任务

20
6
100% credibility
Found Apr 20, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

lark-todo is a tool that automatically scans multiple enterprise Lark (Feishu) accounts across IM messages, meeting minutes, schedules, document comments, approvals, tasks, and emails to collect, prioritize with AI, and enable direct handling or task creation of to-do items via a single natural language command.

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AI-Generated Review

What is lark-todo-skill?

This agent skill turns your AI agent—like those from agent github claude or agent skills anthropic—into a Lark/Feishu todo scanner, pulling pending items from IM chats, meetings, calendars, docs, approvals, tasks, and email across multiple orgs. Say "what needs doing today?" and it parallel-scans seven sources, AI-sorts by urgency with calendar links, then drafts replies, approves items, or creates tasks—all with user confirmation. Built as a zero-code Shell skill relying on lark-cli, it installs via git clone into agent skills repos for tools like agent github copilot cli or cline.

Why is it gaining traction?

It stands out with multi-org parallel scanning and cross-org priority merging, skipping the hassle of switching accounts manually—perfect for agent skills github setups. Direct actions like RSVP invites or email drafts via simple number picks beat generic agent github copilot vscode plugins, plus incremental modes for quick checks. Devs dig the self-guided setup and test scripts verifying lark-cli commands, making it a low-risk add for agent skills library experiments.

Who should use this?

Feishu/Lark power users in multiple companies, like PMs tracking approvals and PR reviews or engineers buried in cross-org chats and overdue tasks. Ideal for agent github repo tinkerers building custom workflows in claude code or trae, especially if you're already running lark-cli for API calls. Skip if you're not on Lark or lack agent skills io support.

Verdict

Worth cloning for Lark-heavy workflows—solid docs, English/Chinese READMEs, and 44-test coverage show polish despite 17 stars and 1.0% credibility score. Early maturity means test your org setup first, but it's a smart agent skills vs mcp niche win.

(198 words)

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