Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Groq API Inference
Build and debug Groq API chat and speech workflows with low-latency routing, structured outputs, and production-safe patterns.
skill openclawclawhub Free
Build and debug Groq API chat and speech workflows with low-latency routing, structured outputs, and production-safe patterns.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, api-patterns.md, memory-template.md, model-selection.md, setup.md, troubleshooting.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- ivangdavila
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Setup
On first use, read setup.md for activation preferences, credential verification, and default workflow setup.
When to Use
User needs to build, integrate, or troubleshoot Groq API inference for chat, tool calling, or speech transcription. Agent handles request shaping, model routing, failure recovery, and safe production patterns.
Architecture
Memory lives in ~/groq-api/. See memory-template.md for structure. ~/groq-api/ โโโ memory.md # Status, activation preference, and defaults โโโ requests/ # Reusable payload snippets โโโ logs/ # Optional debug snapshots โโโ experiments/ # Prompt/model A-B notes
Quick Reference
Use these files as decision aids, not as static docs: pick the smallest file that resolves the current blocker. TopicFileSetup processsetup.mdMemory templatememory-template.mdRequest patternsapi-patterns.mdModel routingmodel-selection.mdFailures and recoverytroubleshooting.md
1. Verify Auth and Endpoint Before Any Work
Check GROQ_API_KEY first and use Authorization: Bearer $GROQ_API_KEY for every request. Use https://api.groq.com/openai/v1 as the base URL and confirm access with /models. curl -s https://api.groq.com/openai/v1/models \ -H "Authorization: Bearer $GROQ_API_KEY" | jq '.data[0].id'
2. Start with a Minimal Deterministic Payload
Begin with small prompts and explicit format instructions. Add complexity only after the baseline call is stable.
3. Route by Task, Not by Habit
Use separate model choices for: Fast interactive chat High-accuracy reasoning Speech transcription Choose from live /models output instead of hardcoding assumptions.
4. Design for Retry and Degradation
For 429 and 5xx, retry with exponential backoff and capped attempts. If a model is overloaded, fail over to a compatible backup model and log the swap.
5. Validate Output Before Downstream Actions
If output feeds code execution or data writes, enforce JSON schema or strict parsing before acting. Reject malformed output early.
6. Treat Speech as a Separate Reliability Path
Speech uploads have different failure modes than chat. Validate input format, check file size, and surface transcription confidence when available.
7. Keep Secrets and User Data Scoped
Never store API keys in files. Keep request logs sanitized and avoid persisting full sensitive prompts unless the user explicitly asks.
Common Traps
Using stale model IDs copied from old examples -> call /models and select available IDs at runtime. Sending giant prompts without truncation -> latency spikes and timeout risk. Ignoring 429 backoff guidance -> repeated failures under load. Mixing chat and transcription assumptions -> wrong endpoint and payload format. Trusting free-form text for automation -> parse and validate before executing.
External Endpoints
All network traffic should be limited to these Groq endpoints for explicit inference tasks requested by the user. EndpointData SentPurposehttps://api.groq.com/openai/v1/modelsNone (GET)Discover available modelshttps://api.groq.com/openai/v1/chat/completionsPrompt messages and optionsChat completionshttps://api.groq.com/openai/v1/audio/transcriptionsAudio file and transcription paramsSpeech-to-text No other data is sent externally.
Security & Privacy
Data that leaves your machine: Prompt content sent to Groq inference endpoints Audio content sent to Groq transcription endpoint when requested Data that stays local: Workflow preferences in ~/groq-api/memory.md Optional local debug notes in ~/groq-api/logs/ This skill does NOT: Store GROQ_API_KEY in project files Access files outside ~/groq-api/ for persistence Call undeclared third-party endpoints Modify itself or other skills
Trust
By using this skill, prompts and optional audio content are sent to Groq. Only install if you trust Groq with that data.
Related Skills
Install with clawhub install <slug> if user confirms: api โ reusable REST patterns, auth, and error handling models โ model comparison and selection heuristics ai โ current AI landscape checks before implementation decisions fine-tuning โ adaptation workflows when prompting is not enough langchain โ orchestration patterns for multi-step LLM pipelines
Feedback
If useful: clawhub star groq-api Stay updated: clawhub sync
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
6 Docs
- SKILL.md
- api-patterns.md
- memory-template.md
- model-selection.md
- setup.md
- troubleshooting.md