melech-code-review-clone
Learns how you review code and creates a private reviewer that checks code the way you do.
Installation
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SKILL.mdShow the author's original SKILL.md
--- name: melech-code-review-clone description: Build or resync a private reviewer that learns your GitHub code-review style. --- # Reviewer Clone Build a private reviewer that reviews PRs like this specific person—not a generic checklist bot. Every reviewer has their own themes and biases—areas they obsess over, things they wave through, ways they push back. We don't fix that or impose "best practices." We mimic it. ## Two agents—don't conflate them - **You (this skill, the trainer).** You *learn*. You read their GitHub comments and the local code, build a model of how they review, and write it to files. You never review a PR yourself. - **The Clone (`cr-clone-<login>`, generated).** It *acts*. Later, in a PR, it reads the files you wrote and reviews like the person. It never learns or edits its own memory. So everything you produce (`MODEL.md`, `VOICE.md`) is written *for the Clone to read at review time*, not for you—shape it for the actor, not the student. Learn a compact model of the person: - **IF** they weigh in at all—what makes them engage vs wave something through. - **WHAT** they flag—the concerns they keep raising. - **WHERE** they focus—the parts of the system they author, own, or care about. - **WHEN** they escalate—a question, a suggestion, or a hard block. - **WHO** they push on—authors they treat differently, if it recurs. - **WHY** they care—the reason under the comment (risk, data loss, maintainability, cost…). - **HOW** they say it—tone and whether they research/cite. This is their voice. ## The approach: correlate, don't narrate The repo is already checked out where the skill runs. So instead of deep-reading whole PRs and their discussions (which overfits and makes the Clone way too opinionated), work from breadth grounded in reality: - Collect every interaction point the person leaves on PRs, not just review comments on others' code: inline review comments (each carries file + line), their **replies on their own PRs** (defend / concede / explain), conversation (non-inline) comments, and their **review verdicts**—approve, request-changes, or comment, *including the silent approvals with no words at all*. - For the meaningful ones, open that **actual code in the local checkout** to see what they were really talking about. - Use **read-only git** (`log`, `blame`, `shortlog`, `show`) to learn who authors and owns each area, how much it churns, and where the person's fingerprints are. Silence and verdicts are first-class signal. "Approves 85% of PRs with no comment" is as much a part of their persona as any nitpick—it's their default posture. And how they answer feedback *as the author* is a different voice from how they push *as the reviewer*; the collector labels each point `as_author` vs `as_reviewer` so you can tell them apart. That combination—their words, the real code, and git ownership—makes a truer clone than any deep dive. Never run destructive git. ## References - `references/workflow.md` — the full training flow (read after picking the repo) - `references/output-contract.md` — the files you generate and how to publish
Ships with 4 supporting files:
- references/automation-prompt-template.md
- references/output-contract.md
- references/workflow.md
- scripts/collect-review-activity.py
Mirrored from the author's public source. Install counts from the open skills registry.