# wayfound

> wayfound — cburnette-wayfound. Use this tool when you need to augment your existing memory system with self-supervision capabilities, enabling more efficient learning and adaptation. Wayfound solves problems of limited training data and improves model performance by leveraging existing memory to generate supervisory signals. It takes in existing memory data as input and outputs improved model weights and performance metrics.

Canonical page: https://skillsregistry.net/skills/cburnette-wayfound  
JSON: https://api.skillsregistry.net/v1/skills/cburnette-wayfound

## Description

Lightweight self-supervision that piggybacks on your existing memory system.

## 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:** other
- **Updated:** 2026-09-19

## Source

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

## 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": "cburnette-wayfound"
    }
  }
}
```

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