Lark CLI Skill: Minutes — Meeting AI Artifacts

What it is

Lark CLI Skill: Minutes is a command-line tool that connects to your Lark (Feishu) workspace and extracts meeting intelligence from recorded meetings. It pulls metadata, AI-generated summaries, action items (todos), and chapter breakdowns from meeting recordings.

It targets teams using Lark/Feishu for meetings who want to automate the extraction of actionable items and summaries without manually reviewing recordings.

How it saves time or tokens

Instead of watching entire meeting recordings to extract key decisions and action items, this skill programmatically pulls AI-generated summaries and structured todos. Token estimate for this workflow is approximately 500 tokens. The chapter breakdown lets you jump to specific discussion segments.

How to use

1. Install the Lark CLI and this skill:

npm install -g @larksuite/cli
npx skills add larksuite/cli -y -g

1. Configure authentication:

lark-cli config init
lark-cli auth login --recommended

1. Fetch meeting minutes:

lark-cli minutes get --meeting-id <id>

Example

# Install and configure
npm install -g @larksuite/cli
npx skills add larksuite/cli -y -g
lark-cli config init
lark-cli auth login --recommended

# Get meeting minutes with AI summary
lark-cli minutes get --meeting-id abc123

# List recent meetings
lark-cli minutes list --limit 10

The output includes the meeting title, participants, AI summary, todo items with assignees, and chapter timestamps.

Related on TokRepo

• AI Tools for Task Management — Tools for managing tasks extracted from meetings
• AI Tools for Documentation — Document and organize meeting outputs

Key considerations

When evaluating Lark CLI Skill: Minutes for your workflow, consider the following factors. First, assess whether your team has the technical prerequisites to adopt this tool effectively. Second, evaluate the maintenance burden against the productivity gains. Third, check community activity and documentation quality to ensure long-term viability. Integration with your existing toolchain matters more than feature count alone. Start with a small pilot project before rolling out across the organization. Monitor resource usage during the initial adoption phase to identify bottlenecks early. Document your configuration decisions so team members can onboard independently.

Common pitfalls

• Meeting recordings must have AI minutes enabled in Lark/Feishu settings before the recording starts; retroactive generation is not supported.
• Authentication tokens expire; re-run the login command if API calls return 401 errors.
• The skill requires a Lark/Feishu enterprise account; personal accounts may not have API access to meeting minutes.