# codesage-algolia-challenge

> codesage-algolia-challenge — ntanwir10-codesage-algolia-challenge. Use this tool when you need to discover and retrieve specific code snippets or repositories using natural language queries, solving problems of tedious manual searching and improving developer productivity. It integrates with AI clients like Claude Desktop via the Model Context Protocol (MCP) and takes in natural language inputs, outputting relevant code results. Ideal for use cases where rapid code discovery and reuse are crucial, such as in software development and collaborative coding projects.

Canonical page: https://skillsregistry.net/skills/ntanwir10-codesage-algolia-challenge  
JSON: https://api.skillsregistry.net/v1/skills/ntanwir10-codesage-algolia-challenge

## Description

AI-powered code discovery through natural language - Built entirely around the Model Context Protocol (MCP) for seamless integration with Claude Desktop and other AI clients

## Trust

- **Trust score (0–1):** 0.38
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ntanwir10/codesage-algolia-challenge)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ntanwir10-codesage-algolia-challenge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ntanwir10-codesage-algolia-challenge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ntanwir10-codesage-algolia-challenge/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt