codebase-context
Codebase Context gives AI agents understanding of your codebase through semantic code search, team conventions, patterns, and memory, so they use fewer tokens, spend less time, and produce better, more familiar output.
Codebase Context 通过语义代码搜索、团队约定、模式和记忆，让 AI 代理理解您的代码库，从而使用更少的 token、花费更少的时间，并产生更好、更熟悉的输出。
How to install
npx -y codebase-context git clone https://github.com/PatrickSys/codebase-context ~/.claude/skills/codebase-context About
codebase-context Map your team's conventions before your AI agent starts searching. You're tired of AI agents writing code that "just works" but still misses how your team actually builds things. They search too broadly, pick generic examples, and spend tokens exploring before they understand the shape of the repo. codebase-context changes the first step. Start with a bounded conventions map that shows the architecture, dominant patterns, and strongest local examples. Then search for the exact file, symbol, or workflow you need. Here's what codebase-context does: **Starts with a bounded conven…
Recommendation signals
Meta
- License
- NOASSERTION
- Language
- TypeScript
- GitHub stars
- 63
- mo. downloads
- 456
- Last push
- 2026-09-21
- Created
- 2025-11-24
Basic safety check
- Findings
- None
- Sources
- curated:punkpeye/awesome-mcp-servers
- Topics
- ai-agents, ai-coding, claude, code-intelligence, context-engineering, copilot, cursor, developer-tools, evidence-scoring, hybrid-search, local-first, mcp, mcp-server, model-context-protocol, pattern-detection, preflight, reranking, second-brain, semantic-search, team-memory
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