Groq Api
CheckedProvides API guidance and assistance for agent 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 diskd-ai/groq-api --skill groq-api -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
diskd-ai
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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 diskd-ai/groq-api at 81f8588f07.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 81f8588f07
- Manifest
- SKILL.md
- Scanned
- 12 files, 3,696 lines
About this skill
The Groq API skill connects AI agents to Groq’s ultra-fast inference engine, enabling rapid text generation and processing. It allows agents to execute low-latency requests directly through the Groq platform for real-time applications.
When to use it
- Building real-time chatbots or conversational interfaces requiring millisecond response times.
- Processing high-volume streams of data where speed is critical, such as live transcription or financial tickers.
- Running local LLMs via Groq’s API for cost-effective, fast inference without managing GPU infrastructure.
- Integrating with existing workflows that need immediate feedback loops, like automated trading signals or interactive gaming logic.
Key capabilities
- Direct integration with Groq’s high-performance inference endpoints.
- Support for various large language models optimized for speed.
- Low-latency request handling suitable for time-sensitive tasks.
- Simplified API access for developers to deploy AI agents quickly.
Example prompts
- "Connect my chatbot to the Groq API and optimize response times for real-time user interactions."
- "Set up a workflow that uses Groq’s inference engine to process live customer support queries instantly."
- "Deploy an AI agent using Groq to handle rapid data analysis tasks with minimal delay."
Tips & gotchas
Ensure you have a valid Groq API key and account before attempting integration, as access may be restricted without proper authentication. Be mindful of rate limits imposed by Groq’s service tier to avoid interruptions in high-frequency usage scenarios.