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improve-codebase

Decompose and audit a repository into reviewable chunks with iterative fixes.

9|1|Updated Jan 8, 2026
Search Tags:#automation#codebase#audit#repository#orchestration#quality#review
One-click install
npx skills add https://github.com/conn-castle/agent-layer --skill improve-codebase
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: improve-codebase
Source: https://github.com/conn-castle/agent-layer/tree/main/internal/templates/skills/improve-codebase
Command: npx skills add https://github.com/conn-castle/agent-layer --skill improve-codebase

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Deep, autonomous audit and improvement of the entire codebase (or user-specified subsystems): survey the repository structure, decompose into reviewable chunks, run parallel multi-lens reviews, fix findings iteratively, and delegate to complementary skills (simplify-code, boost-coverage, audit-tests, fix-issues) where appropriate. Use after a release, during a maintenance window, or whenever a thorough independent quality sweep is needed.

Core Features & Use Cases

  • Systematic survey that maps the repository structure into reviewable chunks
  • Parallel, multi-lens auditing across chunks with architecture, correctness, and quality lenses
  • Iterative fixing and delegation to complementary skills, with a master report and ISSUES.md log
  • Strong governance: pre-defined artifacts, run-id workflow, and cross-cutting review

Quick Start

Run the improve-codebase skill to perform an end-to-end repository health audit and implement fixes across chunks.

Frequently Asked Questions about improve-codebase

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate a full repository audit and fix codebase quality issues?▼

Automate a full repository audit by surveying the repository structure, decomposing it into reviewable chunks, and running parallel multi-lens reviews to iteratively fix findings. This delivers a master report, per-chunk findings, and an ISSUES.md log.

What is the best way to perform a systematic codebase review across multiple sub-systems?▼

A systematic codebase review maps the repository into chunks, applies architecture, correctness, and quality lenses, and coordinates with complementary skills. This ensures cross-cutting analysis and iterative fixes across all sub-systems.

Can I run an automated codebase improvement workflow during a maintenance window?▼

Yes, you can run an automated codebase improvement workflow during maintenance windows or after a release. It performs an end-to-end quality sweep, generating governance artifacts and coordinating sub-skills to resolve findings.

Does the automated repository audit support chunked reviews for large codebases?▼

The automated repository audit supports chunked reviews by decomposing the codebase into manageable sections. This enables parallel multi-lens auditing and iterative fixing across modules and sub-systems.

How do codebase improvement workflows handle cross-cutting analysis and issue tracking?▼

Codebase improvement workflows handle cross-cutting analysis by applying multiple review lenses to decomposed chunks and tracking all findings in an ISSUES.md log, ensuring iterative fixes are documented in a final master report.

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