claude

review-loop

Code review for teams where agents write most of the code: route changes by risk, review against the spec and the evidence, and turn reviews into teaching. All three share a REVIEW-LESSONS.md memory that people teach and agents read.

6 on GitHubv0.1.0MITupdated 4 days agodevelopment
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Plugin review-loop from marketplace hrih-skills in R-Hatim/hrih-skills. Commands read from the repo's manifest — 4 days ago.

What it installs

Skills (5)

  • copywriter

    Write and rewrite copy that reads like a skilled human wrote it. Use it for website and landing page copy, homepage heroes, feature and pricing pages, product descriptions, emails (welcome, onboarding, launch, newsletter, cold outreach), ads, social and LinkedIn posts, UX microcopy, and blog or anno

  • design-inspiration

    Use this skill first whenever someone wants a visual made or redone so it looks good: a website, landing page, homepage, portfolio, hero, pricing page, testimonials, navbar, OG/share image, marketing, welcome or onboarding email, pitch, seed or investor deck, social media graphics (Instagram, Linked

  • review-apprentice

    Turn code review into teaching when an AI reviews alongside people, so juniors learn to review instead of rubber-stamping the agent. Use it when a junior or new team member reviews a pull request with an AI reviewer, when a senior wants to mentor through reviews, or for requests like 'review this PR

  • review-router

    Decide how much human review a code change needs, judged from the change itself rather than its author, and tell the human exactly what to read first. Use it to triage, route or risk-rate a pull request, merge request, branch, commit range or diff, and for questions like 'does this need a human?', '

  • spec-review

    Review a code change by its spec and its evidence instead of reading every line: check it does what was asked, prove it with tests that ran, and find what the tests don't pin down. Use it when an agent wrote the code and a human wants to know whether it does what the ticket, issue, spec.md, requirem

View source on GitHub hrih.si

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Writes and rewrites website, email, ad, social and UX copy from facts and customer language, then edits it against an evidence-based catalog of AI-writing tells. Humanizes AI drafts, matches a voice from a sample or link, and never invents stats or testimonials.

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Researches current design galleries (land-book, supahero, pricingpages, reallygoodemails, deck.gallery and more) before designing websites, emails, decks, social posts or ads, then builds from the best references.

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