review-repo
01Agent Claude Code
Run automated integrity checks then reason over recent agent edits for semantic consistency, stale references, and cross-file agreement.
Practical agents for AI-native repository workflows
This repository also configures its own agents. See what awesome-ai-setup tells them →
Agent Claude Code
Run automated integrity checks then reason over recent agent edits for semantic consistency, stale references, and cross-file agreement.
Agent Claude Code
Assess the repository's current AI context maturity and produce a prioritized action plan pointing to the agents that should run next.
Agent Claude Code
Read the architecture, identify repeatable workflows, and generate project-specific AGENTS.md and workflow files.
Agent Claude Code
Analyze the repository to detect the actual architecture and generate an accurate ARCHITECTURE.md from observed patterns.
Agent Claude Code
Extract the domain model, business rules, terminology, and user roles from the codebase and generate a CONTEXT.md.
Agent Claude Code
Detect relevant integrations and generate MCP configuration files for each AI tool in use.
Agent Claude Code
Detect per-file-type conventions across the codebase and generate scoped AI instruction files plus a global instructions file.
Agent Claude Code
Audit current decisions, abandoned patterns, and anti-patterns in the codebase, and generate or update MEMORY.md.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: