# skeall

> skeall — dorukardahan-skeall. Use this tool when you need to build, audit, or improve agent skills for cross-platform Large Language Model (LLM) agents, solving problems related to skill development and optimization. It takes in skill definitions and outputs improved or audited skill sets, streamlining the process of creating effective agent skills. Ideal for use cases where consistent and high-quality agent performance is crucial across various platforms.

Canonical page: https://skillsregistry.net/skills/dorukardahan-skeall  
JSON: https://api.skillsregistry.net/v1/skills/dorukardahan-skeall

## Description

Agent Skills (SKILL.md) builder, auditor, and improver for cross-platform LLM agents.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

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

## Source

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

## 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": "dorukardahan-skeall"
    }
  }
}
```

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