shuchitajain/awesome-ai-setup

Practical agents for AI-native repository workflows

This repository also configures its own agents. See what awesome-ai-setup tells them →

5Stars on the repository
13Mods indexed here, across every type
4mo agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

review-repo

01

shuchitajain/awesome-ai-setup

Agent Claude Code

Run automated integrity checks then reason over recent agent edits for semantic consistency, stale references, and cross-file agreement.

not rated 5 4mo ago A 26 tokens original MIT

diagnose-and-setup

02

shuchitajain/awesome-ai-setup

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.

not rated 5 4mo ago A 28 tokens original MIT

shuchitajain/awesome-ai-setup

Agent Claude Code

Analyze the repository to detect the actual architecture and generate an accurate ARCHITECTURE.md from observed patterns.

not rated 5 4mo ago A 24 tokens original MIT

generate-context

05

shuchitajain/awesome-ai-setup

Agent Claude Code

Extract the domain model, business rules, terminology, and user roles from the codebase and generate a CONTEXT.md.

not rated 5 4mo ago A 26 tokens original MIT

update-memory

08

shuchitajain/awesome-ai-setup

Agent Claude Code

Audit current decisions, abandoned patterns, and anti-patterns in the codebase, and generate or update MEMORY.md.

not rated 5 4mo ago A 25 tokens original MIT

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: