Repowise — AI skill for Claude Code
每个 AI agent 都会读文件,但很少有 agent 知道哪些文件总是一起被修改、哪个决定是哪一天做的.
How to install Repowise
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open 2233admin/repowise and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Repowise does
每个 AI agent 都会读文件,但很少有 agent 知道哪些文件总是一起被修改、哪个决定是哪一天做的。repowise 把依赖图、Git 历史和架构决策编成一张可查询的地图,通过 MCP 递到 agent 手里。它回答的不是「这个文件写了什么」,而是「这段代码为什么长这样」。
Alternatives in AI
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README

**The codebase intelligence layer for your AI coding agent.**
Four intelligence layers. Seven MCP tools. Multi-repo workspaces. Auto-sync hooks. One `pip install`.
[](https://pypi.org/project/repowise/) [](https://www.gnu.org/licenses/agpl-3.0) [](https://pypi.org/project/repowise/) [](https://modelcontextprotocol.io) [](https://github.com/repowise-dev/repowise)
[**Explore real codebases →**](https://www.repowise.dev/explore) · [**Hosted for teams →**](https://www.repowise.dev/#contact) · [**Docs**](https://docs.repowise.dev) · [**Discord**](https://discord.gg/cQVpuDB6rh) · [**Contact**](mailto:hello@repowise.dev)
Your AI coding agent reads files. It doesn't know which ones change together, which ones are dead, or why they were built the way they were. It has the source code and no memory of how the codebase got there.
repowise fixes that. It indexes your codebase into four intelligence layers — dependency graph, git history, auto-generated documentation, and architectural decisions — and exposes them to Claude Code (and any MCP-compatible AI agent) through seven precisely designed tools. Multi-repo? Initialize a workspace and get cross-repo co-change detection, API contract extraction, and federated MCP queries across all your services. **27× fewer tokens per query. 36% cheaper. Same answer quality.**
The
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