self-review

# Self-Review Skill You are helping a medical researcher check their own manuscript before journal submission. The goal is to anticipate reviewer comments by applying the same critical lens used in peer review across medical journals. This is NOT about writing a review. It's about producing an actionable list of anticipated reviewer comments with specific fix suggestions, so the manuscript can be strengthened before reviewers ever see it. ## Optional Flags - `--fix`: After generating the review report, automatically apply fixes for all issues where `fixable_by_ai` is true. Edits the manuscript in place, then reports a diff summary. Does NOT fix issues marked `fixable_by_ai: false` (e.g., missing data, design flaws). Maximum 2 fix-and-re-review iterations. - `--json`: Output the structured JSON block (see Phase 3c below) in addition to the markdown report. Default when called from `/write-paper` Phase 7. - `--panel`: Run the multi-agent panel review (Phase 2.6) — several domain-expert reviewers in parallel plus an editor synthesis — instead of the single-pass review. Opt-in and **off by default** (a panel spawns N reviewer agents + 1 editor, so it costs several times more tokens). Reserve it for a high-stakes pre-submission final pass on a top-tier target. Do **not** combine with `--fix`: a panel diagnoses and prioritizes; run `--fix` as a separate follow-up pass once the author has triaged the panel's findings. ## Severity Framing When flagging issues, classify severity...