subagent-driven-development
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mcp-lark
Based on FeiShu(飞书) / Lark's OpenAPI MCP server, manage user information, chats, emails, cloud documents, multidimensional tables, tasks, calendars, etc.
Full skill instructions
Need to login to the Lark MCP Configuration Platform to add MCP services, obtain the MCP URL, and configure it into environment variables.
Prioritize fetching from .env under the workspace, then use system environment variables. If not configured, ask the user for input and update it to .env.
# Configure multiple MCP service URLs and usage scenarios in environment variables
LARK_MCP_SERVERS='
open.larksuite.com/mcp/stream/xxx:Chats and Mails;
open.larksuite.com/mcp/stream/yyy:Cloud documents;
'
npx -y mcporter list 'open.larksuite.com/mcp/stream/<token>' --all-parameters
# Get the schema of the specified tool
npx -y mcporter list 'open.larksuite.com/mcp/stream/<token>' --json | jq '.tools[] | select(.name == "<tool_name>")'
npx -y mcporter call 'open.larksuite.com/mcp/stream/<token>.<tool_name>' param1:"value1" foo:"bar"
mcporterTo improve compatibility, use npx -y mcporter instead of mcporter when executing commands.
Dispatch fresh subagents per task with two-stage review (spec compliance, then code quality) in the current session.
ai image generation
ai video generation
agent tools
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