# mulch

> Use this tool when you need to enhance agent performance and autonomy through self-improvement mechanisms. It solves problems related to limited agent capabilities and inefficient learning processes by enabling agents to grow and adapt. With flexible inputs for customization and outputs for integrated development, use mulch in contexts where agent optimization and scalability are crucial.

Canonical page: https://skillsregistry.net/skills/runeweaverstudios-mulch  
JSON: https://api.skillsregistry.net/v1/skills/runeweaverstudios-mulch

## Description

Mulch Self Improver — Let your agents grow 🌱.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-05-18

## Source

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

## 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": "runeweaverstudios-mulch"
    }
  }
}
```

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