# Smart Coding

> Use this tool when you need to efficiently search and discover relevant code snippets based on conceptual similarity, rather than exact keywords. Smart Coding solves problems of tedious code searching, helping AI assistants find related code even with differing terminology. It takes in natural language queries and codebases as inputs, and outputs relevant code snippets, making it ideal for use cases where rapid code discovery and understanding are crucial.

Canonical page: https://skillsregistry.net/skills/omar-haris-smart-coding  
JSON: https://api.skillsregistry.net/v1/skills/omar-haris-smart-coding

## Description

Smart Coding provides semantic code search capabilities for AI assistants using local AI embeddings. Unlike keyword-based search, it finds conceptually related code even when terminology differs. Features hybrid search combining semantic matching with exact text matching, async codebase indexing, and runs entirely locally with no external API calls.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/omar-haris-smart-coding)
- **Repository:** <https://github.com/omar-haris/smart-coding-mcp>

## 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": "omar-haris-smart-coding"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/omar-haris-smart-coding` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/omar-haris-smart-coding/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
