Api Patterns
CheckedHelps with data, API, patterns as part of agent workflows workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add redpanda-data/console --skill api-patterns -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
redpanda-data
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned redpanda-data/console at 0d2c900a21.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 0d2c900a21
- Scanned
- 5 files, 344 lines
About this skill
What it does
This skill enables AI agents to make API calls using Connect Query and properly handle responses within workflows. It provides hooks for fetching data, invalidating caches after mutations, and displaying error notifications (using formatToastErrorMessage). The skill also includes generated protobuf files for defining data structures, which should not be edited directly.
When to use it
- When your agent needs to retrieve data from an API endpoint.
- After a mutation (data update), when you need to invalidate cached data.
- To gracefully handle and display errors that occur during API calls.
- When working with protobuf definitions for structured data.
Key capabilities
- Connect Query hooks for fetching data.
- Cache invalidation after mutations.
- Error handling with toast notifications (using
formatToastErrorMessage). - Protobuf file generation and management (with a rule to regenerate:
task proto:generate).
Example prompts
- "Fetch the latest data using the Connect Query hook."
- "Invalidate the cache after this mutation is complete."
- "Display an error notification if the API call fails."
Tips & gotchas
- The generated protobuf files in
/src/protogen/should not be edited directly. Use thetask proto:generaterule to regenerate them. - Refer to the rules located in the
/rules/directory for detailed guidance on queries, mutations, cache invalidation and error handling. - This skill focuses specifically on API call management using Connect Query; it does not cover all aspects of data processing or general development tasks.