Spawn external LLM CLIs for code review and debugging workflows.
npx skills add https://github.com/wnz99/claude-skills --skill llm-assist
Please help me install this Agent Skill. Skill: llm-assist Source: https://github.com/wnz99/claude-skills/tree/main/skills/llm-assist Command: npx skills add https://github.com/wnz99/claude-skills --skill llm-assist
This Skill helps you get independent help from another LLM when you need a stronger answer than a single model can provide. It is designed for debugging, code review, planning, verification, root cause analysis, rescue after repeated failures, and direct code questions.
Ask the llm-assist skill to run the complementary external LLM on your current code problem and return a synthesized answer.
High-intent search queries and answers about installing and using this skill.
To get a second opinion for code review, you can spawn an external LLM CLI like Claude, Codex, or OpenCode. This cross-model workflow builds safe prompt files with project instructions to compare perspectives on local changes or PRs.
Yes, you can use cross-model workflows to verify a bug fix. Running external LLMs in verify or debug modes confirms rescue attempts and investigates root cause analysis through a monitored, headless execution environment.
The best way to debug repeated failures is to trigger a rescue attempt using an external LLM. This approach leverages cross-model collaboration to provide an independent perspective, bypassing the original model's limitations.
Yes, it requires safe prompt-file assembly and project instruction inclusion for headless execution. You must ensure proper provider selection and monitored output to execute the external LLM CLI safely within your environment.
You should avoid using external LLMs for root cause analysis when your project lacks clear instructions for safe prompt assembly. Without monitored execution and protected quoting, brittle ad hoc CLI calls may produce unreliable outputs.
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