dotfiles

The skill for "is this AI-written?" or "make this sound more human." Use whenever a specific text sample is in question and the core concern is AI authenticity — student submissions suspected of AI authorship, blog/wiki drafts that feel off, PR commit messages that smell like boilerplate, cover letters that sound robotic, paragraphs an editor flagged. Detects copula avoidance, ChatGPT vocabulary, significance inflation, and 30+ other documented AI tells. Also rewrites flagged sections. Not for grammar checks, summarization, or style edits where AI detection is not the concern.

Chain extract-research-questions into objective-codebase-research. Convenience wrapper for the Q+R phases of QRSPI.

Draft a structured design discussion from research findings. Interactive — presents understanding for corrections before finalizing.

Create a structure outline with vertical slices from a design discussion document. Enforces vertical decomposition over horizontal layers.

Extract 5-10 codebase research questions from a ticket or description. Questions only — no answers or opinions.

Conduct problem-aware, solution-blind codebase research. Outputs factual findings only — no opinions or suggestions.

Extract one durable lesson from a session into AGENTS.md. Invoke with a session ID to review a past session.

Make targeted edits to implementation plans - add tasks, modify steps, update context. Use when plan needs refinement after review or during execution.

Verify implementation matches plan requirements - check success criteria, run verification commands, report gaps. Use before marking plan complete or creating PR.

Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims

Use when implementing any feature or bugfix, before writing implementation code