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Claude Skill Library

Transform reviewer-prompts into reusable “skills”

The Awesome Reviewers platform includes an export of Claude Skills—letting you drop proven review-guidance modules directly into your Claude / Anthropic workflows. This page explains how the skills are structured, how the CLI generates them, and provides previews of catalogue examples.

Run the CLI Browse the exported skills

What is a Claude Skill?

A Claude Skill is a packaged module of instructions, heuristics, and examples that teach Claude how to perform a specific task or workflow reliably. Each Awesome Reviewers Skill encodes:

  • the mission (what you want Claude to achieve)
  • heuristics (how it should reason about the task)
  • representative examples (to anchor behaviour)

These are ready to mount into Claude Workflows, the Claude desktop app, or the Claude API.

Why provide them via Awesome Reviewers?

The same teams who maintain the reviewer-prompt library now produce first-class Claude Skill exports. You can keep your AI pair-reviewer, CLI tooling, and PR automation in sync—without rewriting guidance for each surface manually.

How are the skills organised?

Skills mirror the reviewer-library: they’re grouped by scenario type (e.g., code-review, documentation review, design review).

Using our CLI you can:

  • Export an individual reviewer as a Skill
  • Export all Skills in a category
  • Combine everything relevant to your project’s dependencies into a single “super-skill” bundle

Awesome Reviewers CLI

Convert the library into Claude Skills in minutes

Our tool tools/awesome2claude.py will:

  • Clone the repository
  • Parse reviewer-prompts
  • Emit Claude-compatible SKILL.md files

It supports filters (single reviewer, first N prompts, dependency-detected set) and project-aware exports. 

pip install click pyyaml
python tools/awesome2claude.py --output-dir ./claude_skills --overwrite
python tools/awesome2claude.py --project-dir ~/code/my-service --combined-skill-slug project-dependencies

Run python tools/awesome2claude.py --help for full options.

Sample skills from the catalogue

Every exported Skill captures the actionable advice developers trust in the reviewer-library.

Consistent AI interfaces

Enforce predictable SDK ergonomics across providers.

  • Enforce .response over .rawResponse, keeping surface APIs aligned.
  • Group provider-specific options under a shared providerOptions key.
  • Ensure sample docs use real model-IDs and supported configuration.

Async error callbacks

Surface background failures through explicit hooks.

  • Propagate errors into logging or monitoring rather than letting them silently fail.
  • Expose callback parameters when async work continues after the caller returns.
  • Protect streaming consumers from aborts mid-flight.

Document configuration decisions

Make build and dependency choices auditable.

  • Pin dependency versions when compatibility matters across packages.
  • Lay out dependencies according to publish targets (internal tool vs external library).
  • Include tests validating changes to build targets.

Ready to extend your reviewer workflow?

Generate the Claude Skills bundle ✅
Wire it into your automation ✅
Ensure feedback consistency across every AI surface.

Run the CLI Browse reviewers Methodology Organisations