# learn-from-claudecode

> learn-from-claudecode — seductive-bercy787-learn-from-claudecode. Use this tool when you need to assess and improve your codebase with production-grade Large Language Model (LLM) engineering practices. It helps solve problems related to code quality, scalability, and maintainability by providing patterns and guidelines for refinement. The tool takes in your codebase as input, typically through git integration, and outputs actionable recommendations for improvement.

Canonical page: https://skillsregistry.net/skills/seductive-bercy787-learn-from-claudecode  
JSON: https://api.skillsregistry.net/v1/skills/seductive-bercy787-learn-from-claudecode

## Description

Learn Claude Code patterns to assess, improve, and apply production-grade LLM engineering practices in your codebase

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-05-22

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/seductive-bercy787/learn-from-claudecode)

## 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": "seductive-bercy787-learn-from-claudecode"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/seductive-bercy787-learn-from-claudecode` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/seductive-bercy787-learn-from-claudecode/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