# training-manager

> training-manager — anova44-training-manager. Use this tool when you need to manage and optimize your OpenClaw training workspace, solving problems such as disorganized files and inefficient skill generation. It takes in scaffold files and training session logs as inputs, and outputs generated skills and optimized workspace configurations. Ideal for use when setting up or refining an OpenClaw training environment.

Canonical page: https://skillsregistry.net/skills/anova44-training-manager  
JSON: https://api.skillsregistry.net/v1/skills/anova44-training-manager

## Description

Manage and optimize your OpenClaw training workspace -- scaffold files, generate skills, log training sessions.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/anova44-training-manager)

## 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": "anova44-training-manager"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anova44-training-manager` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anova44-training-manager/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