A professional-grade integration skill for building, debugging, and optimizing Kimi API workflows with a focus on reliability and operational safety.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install kimi
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install kimi using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Kimi skill for Openclaw Skills provides a robust framework for developers to integrate Moonshot AI's powerful LLM capabilities into their local environments and agentic workflows. It excels at handling live model verification, request shaping, and migration from other OpenAI-compatible providers, ensuring that your AI implementations are both stable and cost-effective.
By prioritizing technical truth over cached data, this skill ensures you are always using live model IDs and optimized request patterns. It creates a structured local memory environment to manage workload routing, sensitive-data redaction, and experimental prompt testing, making it an essential tool for developers building high-stakes AI applications.
To get started with Kimi via Openclaw Skills, ensure you have your API key ready and run the following commands:
# Install the skill
clawhub install kimi
# Set your environment variable
export MOONSHOT_API_KEY="your_key_here"
# Initialize the memory structure
mkdir -p ~/kimi/
The skill maintains a structured local directory at ~/kimi/ to manage workflow state and security boundaries:
| File | Purpose |
|---|---|
memory.md |
Tracks activation rules, status, and stable default models. |
routes.md |
Maps specific workload types to their preferred Kimi model IDs. |
approvals.md |
Defines redaction preferences and sensitive data boundaries. |
experiments.md |
Stores notes on prompt performance and fallback strategies. |
logs/ |
Contains sanitized payloads for troubleshooting recurring issues. |
api.moonshot.ai to prevent errors caused by stale or decommissioned model IDs.coding, backend, and fastapi skills to build full-stack AI services.Loading
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