# forge

> Use this tool when you need to automate code generation and verification, solving problems of manual coding errors and inefficiencies. The forge tool takes in behavioral specifications as input and outputs production-ready code, providing a continuous verification process to ensure high-quality results. It is ideal for use cases where rapid, reliable, and scalable code development is crucial.

Canonical page: https://skillsregistry.net/skills/ikennaokpala-forge  
JSON: https://api.skillsregistry.net/v1/skills/ikennaokpala-forge

## Description

Autonomous quality engineering swarm that forges production-ready code through continuous behavioral verification.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-05-18

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/ikennaokpala-forge)

## 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": "ikennaokpala-forge"
    }
  }
}
```

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