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claude-context-rules

Search codebases semantically using natural language queries via search_code.

8|3|Updated Feb 6, 2026
Search Tags:#AI tools#architecture#semantic search#code search#developer productivity#codebase exploration
One-click install
npx skills add https://github.com/lbruton/StakTrakr --skill claude-context-rules
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: claude-context-rules
Source: https://github.com/lbruton/StakTrakr/tree/main/.claude/skills/claude-context-rules
Command: npx skills add https://github.com/lbruton/StakTrakr --skill claude-context-rules

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured and efficient way to search and understand a codebase using AI-powered semantic code search, reducing the time spent on manual code exploration.

Core Features & Use Cases

  • Semantic Code Search: Find relevant code snippets, functions, and architectural patterns based on natural language queries.
  • Codebase Exploration: Quickly orient yourself within a project, understand how different parts interact, and locate specific implementations.
  • Use Case: When you need to understand how a particular feature is implemented across the codebase, use this Skill to find all related functions and files, even if they use different naming conventions.

Quick Start

Use the claude-context-rules skill to search the codebase for how API spot prices are fetched.

Frequently Asked Questions about claude-context-rules

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

FAQPage Schema
What is semantic code search and how does it help with codebase exploration?▼

Semantic code search uses AST and vector databases to index codebases, allowing you to find functions and architectural patterns using natural language queries rather than exact string matching. This enables efficient codebase exploration and orientation.

How do I find implementations across a codebase when different naming conventions are used?▼

You can use AI-powered semantic code search to locate specific implementations and architectural patterns across a codebase. By querying with natural language, you find related functions and files even when different naming conventions are used.

Can I use natural language queries to search for functions and code snippets?▼

Yes, you can and should prefer natural language queries over literal code patterns when performing semantic searches. This approach allows the AI-powered search to understand the intent behind your query and locate relevant code snippets and functions.

What should I do if my initial code search returns incomplete results?▼

If your initial code search returns incomplete results, you should escalate the query to an Explore agent. This handles incomplete search outcomes by performing a deeper investigation into the codebase architecture.

What is the best way to orient myself when navigating an unfamiliar codebase?▼

The best way to orient yourself is to use the search_code function for initial codebase exploration. This AI-powered semantic search helps you quickly understand how different parts of a project interact and locate specific implementations.

Does this code search approach work for understanding architectural patterns and feature implementations?▼

Yes, semantic code search is designed for efficient codebase exploration and architectural understanding. It indexes codebases to help you quickly locate how particular features are implemented across different files and functions.

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