cocosearch-quickstart

Index a codebase and verify CocoSearch readiness through infrastructure checks.

37|6|Updated Feb 16, 2026
One-click install
npx skills add https://github.com/VioletCranberry/coco-search --skill cocosearch-quickstart
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cocosearch-quickstart
Source: https://github.com/VioletCranberry/coco-search/tree/main/skills/cocosearch-quickstart
Command: npx skills add https://github.com/VioletCranberry/coco-search --skill cocosearch-quickstart

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill guides new CocoSearch users through prerequisites, indexing a codebase, and verifying the search index to enable fast semantic search setup.

Core Features & Use Cases

  • Checks infrastructure prerequisites (databases and embedding model) and ensures services are running before indexing.
  • Indexes the project codebase by discovering files, parsing symbols, and creating embeddings for fast search.
  • Verifies index health and readiness to perform semantic search across the indexed repository.

Quick Start

Index your project by checking prerequisites, running the indexing process, and verifying the search index in minutes.

Frequently Asked Questions about cocosearch-quickstart

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

FAQPage Schema
How do I index a codebase for semantic search?

Indexing a codebase for semantic search requires discovering project files, parsing code symbols, and generating embeddings. This infrastructure orchestration validates index health to enable fast repository querying.

What infrastructure prerequisites are needed for codebase indexing?

Codebase indexing requires databases and an embedding model to be running. You must verify these infrastructure prerequisites are active before initiating file discovery and symbol parsing.

How do I verify search index health after setting up a new project?

Verify search index health by checking index readiness after the embedding generation completes. This validation ensures the semantic search infrastructure correctly parsed your fresh clone or new project.

Can I run semantic search indexing on a fresh clone?

Yes, semantic search indexing works on fresh clones. The process checks prerequisites, discovers files, parses symbols, and validates index health specifically for new projects or freshly cloned repositories.

What is the best way to prepare a project for semantic search?

The best way to prepare a project for semantic search is orchestrating infrastructure checks, file discovery, symbol parsing, and embeddings generation. This validates index health and ensures repository readiness.

Why does codebase indexing fail before search validation?

Codebase indexing fails before search validation if infrastructure prerequisites like databases or the embedding model are not running. The process enforces these prerequisite checks prior to file discovery.