# aicode-toolkit

> aicode-toolkit — agiflow-aicode-toolkit. Use this tool when you need to efficiently manage and interact with large repositories, as it provides a reliable coding framework for agents to work with repos of any size, utilizing git capabilities to streamline the development process. It solves problems related to repository management, scalability, and agent reliability, and accepts git-based inputs to produce optimized outputs. Ideal for use cases involving large-scale repository interactions, where efficiency and reliability are crucial.

Canonical page: https://skillsregistry.net/skills/agiflow-aicode-toolkit  
JSON: https://api.skillsregistry.net/v1/skills/agiflow-aicode-toolkit

## Description

Toolkit for Coding Agents to work reliably with repo of any size.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/AgiFlow/aicode-toolkit)

## 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": "agiflow-aicode-toolkit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agiflow-aicode-toolkit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agiflow-aicode-toolkit/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