# easy-opencode

> easy-opencode — deciding-easy-opencode. Use this tool when you need to generate, modify, or optimize code for various programming tasks. It solves problems related to coding efficiency, accuracy, and automation, accepting inputs such as code snippets, specifications, or requirements, and producing output in the form of executable code or modified codebases. Ideal for use in software development, debugging, and testing contexts.

Canonical page: https://skillsregistry.net/skills/deciding-easy-opencode  
JSON: https://api.skillsregistry.net/v1/skills/deciding-easy-opencode

## Description

opencode can do all the things related to code.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/deciding-easy-opencode)

## 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": "deciding-easy-opencode"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/deciding-easy-opencode` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/deciding-easy-opencode/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