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codebase-context

Skill Development Usable
Works inClaude Code
Usable Scanned — metadata only

Reduces context window waste and hallucination risk by giving AI agents a structured map of codebase architecture, patterns, and conventions upfront, enablin…

Generate a map of your codebaseto help AI Agents understand your architecture, coding conventions and patterns. Discoverable with Semantic Search

57 starsFreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Reduces context window waste and hallucination risk by giving AI agents a structured map of codebase architecture, patterns, and conventions upfront, enabling faster, more accurate code generation and review.

Engineering teams integrating AI pair programming tools into existing codebases with complex architectures or strict coding standards.

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https://github.com/PatrickSys/codebase-context

By PatrickSys

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install PatrickSys/codebase-context

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me generate a searchable map of my codebase architecture for Claude to reference during code reviews
CostFree

Trust Signals Auto-scanned

Stars57Contributors4Last updated2026-07-25Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-25 · scanner v1

Community Pulse Active

Discussed on Hacker News, Reddit

3 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 57 GitHub stars; 4 contributors; last commit 0d ago; license no license.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
1/5
Versatility
3/5
Reliability
4/5
Security
3/5
Overall score2.55 / 5.00 UsableEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 57 GitHub stars; 4 contributors; last commit 0d ago; license no license.

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