cli-models
The cli-models skill provides command-line tools to query, filter, and browse available AI models from the OmniRoute catalog. Use it to list models by provider, search models by capability keywords, resolve model name aliases, and output results in JSON format for programmatic access.
git clone --depth 1 https://github.com/diegosouzapw/OmniRoute /tmp/cli-models && cp -r /tmp/cli-models/skills/cli-models ~/.claude/skills/cli-modelsSKILL.md
<!-- generated by src/lib/agentSkills/generator.ts; manual edits will be overwritten --> ## Overview Query available AI models, list model aliases, and browse the full model catalog from the CLI. Filter by provider, search by capability, and resolve model name variants. ## Quick install ```bash npm install -g omniroute # or: npx omniroute omniroute --version ``` ## Subcommands ### `models [provider]` **Flags:** - `--search <query>` - `--json` **Example:** ```bash omniroute models [provider] ```
Interact with the OmniRoute A2A server from the CLI. Send tasks, inspect skill execution history, and test the JSON-RPC 2.0 agent-to-agent protocol interactively.
Backup and restore OmniRoute data from the CLI. Trigger incremental snapshots, sync to cloud storage, manage backup schedules, and restore from archive files.
Submit and monitor batch inference jobs from the CLI. Upload and manage files for batch processing, retrieve results, and integrate batch pipelines with CI/CD workflows.
Send chat completions, stream responses, and start an interactive REPL session from the CLI. Supports all OmniRoute providers, combo routing, and system prompt configuration.
Configure and test prompt compression from the CLI. Manage RTK filters, Caveman rules, stacked compression modes, and preview compression output with real prompts.
Manage context engineering configurations, RTK filter sets, and conversation sessions from the CLI. Apply context-relay settings and inspect active context pipelines.
View cost breakdowns, token usage, and call logs from the CLI. Filter by provider, model, or date range. Export usage reports and inspect per-connection spending.
Create and run evaluation suites, watch live benchmark progress, view scorecards, compare model performance, and integrate eval runs with CI workflows from the CLI.