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semble

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Token-efficient code search for AI agents.

Software Engineering#cli#mcp#semantic#programmatic#code-search#code-discovery#semble
Authorakillness
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Semble provides token-efficient, semantic code search that returns only relevant code chunks for AI agents, avoiding full-file grep overhead.

Core Features & Use Cases

  • Natural-language and symbol code search across local or remote repositories.
  • Semantic similarity search and find-related capabilities to discover related code patterns.
  • MCP integration across Claude Code, Codex, Cursor, and OpenCode, plus a Python library for programmatic access.

Quick Start

Install semble, index your project, and perform a natural-language search to locate relevant code.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: semble
Download link: https://github.com/akillness/jeo-skills/archive/main.zip#semble

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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