Agent skills for Zed

Scan source code and report agent-readiness metrics with actionable recommendations

Designs reverse-engineered, milestone-driven learning plans to master, debug, and modify complex Python and Go codebases efficiently.

Scans the codebase to generate project-doc.md and AGENTS.md.

Designs a target codebase structure from a shared domain and use-case model, assigning semantic ownership and choosing capability…

Evaluates a proposed or implemented codebase structure without changing it: semantic ownership, module and port boundaries, dependency…

Use Codeclew for bounded compiler- or syntax-backed code context, safe changes, multi-repository analysis, freshness checks, recovery, and…

Automates the management and evolution of autonomous AI agents on the BNB Chain using DNA-driven decision engines.

Turn any GitHub repo, local folder, PR, or markdown/Obsidian vault into an interactive architecture map with CodeFlow — a zero-build…

Regenerate and verify game package TypeScript from .randsum.json specs

Automate Codeinterpreter tasks via Rube MCP (Composio).

This guide helps AI agents efficiently create codemods with optimal performance and consistency Quick Reference: Scaffold, Create…

CodeQL is a static analysis framework that queries code as a database.

Scans a codebase for security vulnerabilities using CodeQL's interprocedural data flow and taint tracking analysis.

Configure CodeRabbit as a CI gate with GitHub Actions, branch protection,

Diagnose and fix CodeRabbit common errors and configuration issues.

Tune CodeRabbit review configuration: learnings, code guidelines, and

Optimize CodeRabbit costs through seat management, repo selection, and

Implement CodeRabbit PII handling, data retention, and GDPR/CCPA compliance

Configure CodeRabbit enterprise access control, seat management, and

Create a minimal working CodeRabbit configuration and trigger your first

Execute CodeRabbit incident response procedures when reviews stop working