
Review implementation plans or local code changes with OpenAI Codex CLI. Use when the user wants a second opinion on a plan before implementation, or to validate local un-pushed code changes after implementation.
Use when the user wants an AI coding agent to offload suitable low-risk, bounded codebase browsing, inventory, extraction, log triage, or simple single-file reasoning tasks to a local LM Studio model while keeping high-level reasoning and final decisions in the main model.
Use when the user explicitly asks for plain language, less jargon, a concise explanation, mentor-style codebase guidance, or an explanation for a developer who knows software engineering but is new to the project or domain.
Analyze git history for commit style, stage changes logically, and commit without pushing. Use when the user wants to commit changes matching their repository's existing style.
Use when preparing files for NotebookLM, organizing documents into a knowledge base, converting formats for NotebookLM compatibility, or reducing a large document collection to fit NotebookLM's 50-source limit. Scores and prioritizes sources, performs strategic merging (time-series, topic-based, format consolidation), converts unsupported formats (PPTX to PDF, XLSX to CSV), applies flat structure with descriptive snake_case names, and optimizes for RAG retrieval performance.
Improve code quality in a repository using desloppify. Use when auditing a codebase, raising code quality scores, cleaning up maintainability issues, or systematically working through desloppify findings.