What problem does it solve? Catching structural bugs like SQL injection, race conditions, and unvalidated LLM output before code merges is hard to do consistently by eye, and generic review comments often create noise instead of signal. ## Core Features & Use Cases - Two-pass pre-landing review: Runs a critical pass (SQL & data safety, race conditions, LLM output trust boundary, enum completeness) followed by an informational pass (dead code, test gaps, crypto entropy, type coercion, view performance) against a git diff or a pasted diff. - Fix-first triage: Automatically applies mechanical fixes (dead code, N+1 eager loading, magic numbers) while batching judgment calls (security, design decisions, large fixes) into a single structured user question. - Greptile comment triage: Fetches, classifies, and replies to Greptile bot review comments on GitHub PRs with evidence-backed templates and per-project false-positive suppression history. - Use Case: Before merging a feature branch, ask for a pre-landing review; the skill checks git diff origin/main, flags a string-interpolated SQL query as a blocking P0 finding, auto-fixes a stale comment, and replies to two Greptile comments on the PR. ## Quick Start Ask the AI to review this PR or check my diff before it merges, optionally pasting a diff directly into the chat.