# semctx

> semctx — dwisiswant0-semctx. Use this tool when you need to analyze and understand the semantic context of code for AI agents, solving problems related to code comprehension and integration. It takes in git repository data as input and outputs meaningful insights into code structure and functionality. Ideal for use cases where AI agents require a deeper understanding of codebase semantics to inform decision-making or automation tasks.

Canonical page: https://skillsregistry.net/skills/dwisiswant0-semctx  
JSON: https://api.skillsregistry.net/v1/skills/dwisiswant0-semctx

## Description

Semantic code context for AI agents.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/dwisiswant0/semctx)

## 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": "dwisiswant0-semctx"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dwisiswant0-semctx` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dwisiswant0-semctx/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