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Repowise

Data community

Description

Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

repowise: evidence-backed codebase intelligence

Know the code. Know what breaks. Change it with confidence.

Evidence-backed codebase intelligence for humans and AI agents.

Repowise indexes your code, call graph, git history, tests, and architectural
decisions once, then gives agents and reviewers cited context, blast radius, test
impact, and code-health fixes. Core analysis is local and deterministic; optional
synthesis is the only LLM layer.

Install Repowise locally in minutes Explore Repowise live

Repowise brings code graph, git history, tests, contracts, decisions, code health, documentation, and workspaces into one index for understanding code, changing it safely, and improving it continuously; the measured workflow shows 31.6% less agent-generated output, 3.8 instead of 7.2 tool calls, and a separate 393 versus 13,984-token retrieval payload

The animation uses measured results: 31.6% less agent-generated output across 43 repository questions and 3.8 instead of 7.2 tool calls. The 393-vs-13,984 figure is one retrieval payload, not end-to-end agent savings. Audit the run →