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doc-search

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Efficiently find documentation.

Software Engineering#documentation#search#retrieval#token efficiency#serena#index
Author1ambda
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the inefficiency and token waste associated with manually searching through large documentation files by providing a token-efficient search mechanism.

Core Features & Use Cases

  • Token-Efficient Search: Significantly reduces token consumption compared to reading full files.
  • Targeted Retrieval: Allows searching by tags, titles, project, document type, or keywords.
  • Use Case: When needing to understand the "hexagonal architecture" pattern, instead of reading the entire PATTERNS.md file (which could cost thousands of tokens), you can use this Skill to pinpoint the exact relevant sections, costing only a few hundred tokens.

Quick Start

Search for documentation related to "hexagonal architecture" using the provided Python CLI command.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 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: doc-search
Download link: https://github.com/1ambda/dataops-platform/archive/main.zip#doc-search

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