# encoderthinking

> Use this tool when you need to analyze and understand complex coding projects, as it provides insights into Git repositories and helps solve problems related to version control and code management. It takes in Git repository data as input and outputs detailed analysis and visualizations, making it easier to navigate and optimize codebases. Ideal for developers and project managers working with large-scale coding projects.

Canonical page: https://skillsregistry.net/skills/ibrahimsaleem-encoderthinking  
JSON: https://api.skillsregistry.net/v1/skills/ibrahimsaleem-encoderthinking

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/ibrahimsaleem/encoderthinking)
- **Repository:** <https://github.com/ibrahimsaleem/EncoderThinking>

## 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": "ibrahimsaleem-encoderthinking"
    }
  }
}
```

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