# nonlinear-learner

> nonlinear-learner — jlu45-nonlinear-learner. Use this tool when you need to generate and navigate complex knowledge graphs with flexible learning modes. The nonlinear-learner enables AI tools to learn through backward learning, jumping, and dynamic path adjustment, solving problems in dynamic and non-sequential knowledge domains. It accepts input parameters for learning modes and graph structures, and outputs navigable knowledge graphs for further analysis and processing.

Canonical page: https://skillsregistry.net/skills/jlu45-nonlinear-learner  
JSON: https://api.skillsregistry.net/v1/skills/jlu45-nonlinear-learner

## Description

An MCP server that enables AI tools to generate and navigate knowledge graphs with nonlinear learning modes, including backward learning, jumping, and dynamic path adjustment.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x622n0bp7a)
- **Repository:** <https://github.com/Jlu45/nonlinear-learner>

## 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": "jlu45-nonlinear-learner"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jlu45-nonlinear-learner` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jlu45-nonlinear-learner/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
