# ctxai

> Use this tool when you need to streamline coding tasks, accelerate development, and enhance code discovery. The ctxai tool solves problems related to code completion, code search, and version control by providing an AI-powered coding agent, agentic harness, and semantic code search engine. It takes in coding queries and git repository inputs, outputting relevant code snippets and solutions to boost productivity.

Canonical page: https://skillsregistry.net/skills/vs4vijay-ctxai  
JSON: https://api.skillsregistry.net/v1/skills/vs4vijay-ctxai

## Description

AI Coding Agent, Agentic Harness, Semantic Code Search Engine

## Trust

- **Trust score (0–1):** 0.26
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [GitHub](https://github.com/vs4vijay/ctxai)

## 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": "vs4vijay-ctxai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vs4vijay-ctxai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vs4vijay-ctxai/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