Awesome Reviewers expert instructions

Expert instructions for AI and infrastructure engineering

A library of instruction sets distilled from review discussions in production repositories — agent frameworks, inference servers, orchestration, databases, cloud infrastructure and the tooling around them. Each one is plain markdown: copy it here, or fetch it as raw text and load it into an agent, harness or context broker.

Use in an AI agent

Paste an instruction directly into your agent's system prompt. Agents (Claude, GPT, etc.) can apply domain-specific expertise on the fly, catching subtle violations that generic rules miss.

Use in a skill or plugin

Build a skill that loads instructions programmatically — e.g., /claude-code-review my-file.js fetches the relevant instruction for that language and applies it. Skills compose instructions with the target code and invoke the agent.

Use in a code review harness

Store instructions in a database or fetch from /raw/ endpoints. Gate them by language, repository, or domain. A review harness finds the matching instructions and passes them as context to the review model.

    Domains

    organized by engineering discipline

    Recently updated

    browse all instructions

    Raw access

    endpoint reference

    # one instruction
curl https://awesomereviewers.com/raw/.md

# every instruction in a domain, concatenated
curl https://awesomereviewers.com/raw/bundles/ai-agents.md

# machine index: slugs, domains, dates, raw URLs
curl https://awesomereviewers.com/raw/index.json

    Stable paths, no key, no rate limit. Regenerated on every push to the corpus.

    Add a repository

    see every source

    Submit a public repository and it gets queued for extraction. Private repositories are handled through Baz.