bborn/prboom/pr-learn
Claude Code and agent skill by bborn/prboom
- community
Checking that the SKILL.md file is still in the repository.
Learn how the reviewer reviews in one repo, from PRs other people wrote that they commented on or pushed fixes to, and turn it into rules the pr-walk skill follows in that repo. Use on "/pr-learn", "learn my review style", "learn from my past reviews", "tune pr-walk for this repo", or "update my review rules".
Install
npx vskill@latest install bborn/prboom/pr-learnSKILL.md
Learn a reviewer's taste, one repo at a time
pr-walk finds what is worth raising in a PR. This skill teaches it what this reviewer raises in this repo, from the evidence of what they actually said and changed on other people's PRs. The result is a rules file pr-walk loads before every walk in the repo.
Rules come from evidence, not from guessing what a good reviewer would want. Every rule you propose must point at real comments or commits.
Step 1: gather
Run it from inside the repo (or pass -R owner/name), passing on any arguments you were given (--all to ignore the last run's date, --since YYYY-MM-DD, --top N to keep more or fewer PRs):
It does not read every PR. It scans the recent ones, scores each by how much of the reviewer is in it (their own short line comments most, pushed commits least), and keeps the best 40. It prints the parts of the corpus, one path per line, and the rules file path on stderr. It takes a couple of minutes; tell the reviewer that once, then wait. If it prints nothing new to learn from, say so and stop.
Read the existing rules file if there is one, and the global rules (~/.config/prboom/rules.md) and the pr-walk skill's "What counts as a finding". A rule that is already in any of them is not new.
Step 2: read, one agent per part
Each part is a set of PRs: the reviewer's line comments with the code they sat on, their PR comments, and small commits they pushed to someone else's branch with the diff.
Give each part to its own subagent, all at once. Tell each one:
Read FILE whole. It is how one reviewer reviewed other people's PRs. Find thepatterns in what they object to and what they change.Much of the text under their name was written by their coding agent: long,polished, hedged explanations, "Could this…?", verification write-ups. Thatis not their voice; ignore it except as a pointer to what they asked for. Theirown voice is short, blunt and often lowercase ("I don't think this test isneeded", "why is this file in here?"), including instructions they addressto the author's agent ("@someone's claude: trim the comments"). Their smallcommits count as their judgement too: what they deleted, inlined, renamed orreplaced says what they would have flagged.Return candidate rules as a list. Each: the rule as an instruction to areviewer ("Flag tests that only assert a CSS class is present"), kind(important, stupid or taste), and every piece of evidence as#PRplus theverbatim quote or the commit headline. Be specific to this codebase: name thehelper, pattern, directory or library when the evidence does. Include thingsthey let pass if the same thing is objected to elsewhere, as counter-evidence.No rule without evidence. No generic advice.
Step 3: merge
Combine what comes back:
- Same rule from several parts: one rule, evidence pooled.
- Drop a rule seen once unless the quote is unmistakably emphatic.
- Drop what the global rules, the existing repo rules or pr-walk already say.
If the evidence sharpens an existing rule, propose the sharper wording as an edit to it.
- Where the evidence contradicts itself, keep it as a question for Step 4, not
a rule.
- Order: important, stupid, taste; most evidence first within each.
Step 4: walk the rules with the reviewer
Four at a time, with the AskUserQuestion tool, one question per rule. For each:
- header:
Rule 3/17(12 characters max) - question: the rule, then the strongest one or two pieces of evidence, e.g.
Flag tests that only check CSS visibility? #3652 "Feels like bloat to me"
- options: keep, drop, and sharper with your tighter or more
specific wording in its description
What they type into Other is their wording or a correction; use it. Before the first batch, one line: how many PRs were read and how many rules came out.
Then the contradictions, if any, asked the same way as plain questions ("You asked for a test in #3401 but called one bloat in #3652. Which do you want flagged?"), options from the evidence. Their answer becomes a rule.
Step 5: write
The rules file is ~/.config/prboom/repos/OWNER/NAME.md (the path pr-learn printed). Create it if it isn't there. It looks like this:
One line per rule, an instruction, PR numbers as evidence. Merge with what is there: kept rules added under their kind, sharpened rules replacing the old line, nothing duplicated. Set the mined through date to today; that is how the next run knows where to start.
Rules the reviewer did not keep are not written anywhere. If they drop the same rule on a later run, it will be proposed again only with new evidence.
Finish with the file path, rules added, rules changed. Nothing else.
Style
- No preamble, no recap of what the corpus contains.
- Quote evidence verbatim. Never paraphrase a quote into something stronger.
- Never invent a rule the evidence does not show, however sensible.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/pr-learn/SKILL.md
Popularity
- 7-day trend score
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