# skilldevelop

> skilldevelop — raghuraam25-skilldevelop. Use this tool when you need to track and refine processes by capturing learnings, errors, and corrections, enabling continuous improvement in various contexts. It solves problems related to knowledge retention, error reduction, and process optimization by providing a systematic approach to learning from experiences. With inputs of feedback, errors, and corrections, it outputs refined processes and improved outcomes.

Canonical page: https://skillsregistry.net/skills/raghuraam25-skilldevelop  
JSON: https://api.skillsregistry.net/v1/skills/raghuraam25-skilldevelop

## Description

Captures learnings, errors, and corrections to enable continuous improvement.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-26

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/raghuraam25-skilldevelop)

## 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": "raghuraam25-skilldevelop"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/raghuraam25-skilldevelop` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/raghuraam25-skilldevelop/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