Orchestrate parallel LLM CLI queries across qwen, gemini, codex, and opencode backends.
npx skills add https://github.com/EndUser123/cc-marketplace --skill ai-pcli
Please help me install this Agent Skill. Skill: ai-pcli Source: https://github.com/EndUser123/cc-marketplace/tree/main/plugins/cc-skills-ai-cli/skills/ai-pcli Command: npx skills add https://github.com/EndUser123/cc-marketplace --skill ai-pcli
Parallel multi-LLM CLI orchestration speeds up decision making by running multiple CLI-backed model providers in parallel and surfacing a unified view.
Provide a query to /ai-pcli to run all configured CLIs in parallel and aggregate their outputs.
High-intent search queries and answers about installing and using this skill.
Parallel LLM CLI orchestration runs queries across multiple CLI-backed model providers simultaneously, aggregating their outputs into a unified view to speed up decision making. You provide a query and the system executes it across configured backends like qwen, gemini, and codex.
An optional critic pass validates the aggregated outputs from parallel LLM execution. It applies an ai-cli-critic to check claims and consistency, ensuring the quality of the unified response generated by the multiple backend models.
Yes, context-aware prompting and routing rules allow you to select appropriate CLIs for given queries. This ensures specific queries are directed to the most suitable backend among the configured providers for optimal results.
Yes, parallel LLM CLI orchestration supports JSON and structured outputs when requested. This allows you to receive aggregated responses from multiple model backends in a structured format for programmatic use.
You need pyyaml and python-dotenv installed in your environment to configure and run the parallel LLM CLI orchestration. These dependencies handle configuration loading and environment variable management for the backend routing.
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