When you work with the CDF Data Modeling API, you need to follow its limits and best practices. Concurrency limits can cause 429 errors if you send too many requests at once. Using pagination ensures you get all results from list and query operations. Batching write operations helps you stay within limits and work faster.
This skill also helps you decide whether to use search for fuzzy text matching or filter for exact matches. A tool called QueuedTaskRunner controls how many concurrent requests your code makes. Follow these patterns to avoid errors and keep your application reliable.
Global
mkdir -p ~/.claude/skills/dm-limits-and-best-practicesProject
mkdir -p .claude/skills/dm-limits-and-best-practicesSource Repository
Lark Openapi Explorerlarksuite/cli
Discover and call native Lark OpenAPIs not covered by existing CLI commands
Supabasesupabase/agent-skills
Add a database auth and APIs to your app with Supabase
Convex Quickstartget-convex/agent-skills
Rapidly set up a Convex backend for new or existing apps with one command
Convex Create Componentget-convex/agent-skills
Create reusable Convex components with isolated tables and clear APIs
Design An Interfacemattpocock/skills
Generate many different interface designs and pick the best one
Notion Apiintellectronica/agent-skills
Automate your Notion workspace with simple API calls
Convexget-convex/agent-skills
Use this router to find the perfect Convex skill for your task
Firecrawl Build Scrapefirecrawl/skills
Extract clean web content from a single URL quickly and reliably