Add AI Model Provider
Adds an AI model provider to LobeHub, covering runtime, model cards, config and docs.
Install
npx skills add lobehub/lobehub --skill add-model-provider -g -a claude-code -y- Repository
- lobehub/lobehub83.7k
- Category
- Engineering
- Updated
- 3d ago
- License
- See repository
- Context cost
- Mediumabout 2,734 tokens
- Runs scripts
- No, instructions only
What it does
Add an AI model provider to LobeHub, including runtime integration, model cards, configuration, branding, documentation, and acceptance. Also use for provider documentation updates; adding models to an existing provider does not require a new provider integration.
Add a Model Provider
Deliver a provider that users can configure, recognize, and use through the supported API paths. This skill includes the provider documentation workflow.
Paths below are relative to the open-source repository root. In a Cloud checkout, prefix them with lobehub/ and follow the parent repository's install and Git rules. Hosted model configuration is a separate workflow: use the deployment operator's model-onboarding process when that is the requested target. Do not copy private deployment settings or routing information into this skill or an OSS change.
For a documentation-only request, inspect the implemented configuration and follow Provider documentation; do not add runtime code merely to satisfy this checklist.
For a model-only request on an existing provider, follow model-bank-metadata for knowledgeCutoff, family, and generation, using its single-model guidance rather than the repo-wide sweep. Use the research and focused validation below for other model-card fields, including capabilities, pricing, and context limits. Skip new provider registration, authentication configuration, and provider-list reordering unless the requested model exposes a confirmed gap in those paths.
