Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
- No user-facing changes or file modifications in this version. - No updates to documentation, features, or workflows detected.
What This Skill Does
Calls AIMLAPI chat completions via a Python script with automatic retries, optional API key file fallback, and a custom User-Agent header on every request. Supports reasoning parameters, temperature control, and structured JSON output. Results can be written directly to a file.
Built-in retry logic and API key file fallback reduce boilerplate compared to writing raw AIMLAPI requests by hand.
When to use it
- Draft a project checklist from a plain-text prompt
- Generate a structured JSON risk list for a project
- Plan a feature rollout with step-by-step reasoning
- Summarize a long document into bullet points
- Script batch prompting runs against AIMLAPI models
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Return a JSON array of 3 project risks with mitigation strategies
- 1Builds request payload with json_object response_format and the user prompt
- 2Sends POST to AIMLAPI chat completions endpoint with User-Agent header
- 3Retries automatically on transient failures
- 4Parses the response and writes JSON result to ./out/risks.json
A risks.json file containing a JSON array of 3 project risks each with a mitigation strategy
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.