# skillagi

> skillagi — wubotvix-skillagi. Use this tool when you need to retain knowledge of past errors and exceptions, enabling continuous learning and improvement across multiple interactions. Skillagi solves the problem of repeated mistakes by storing and recalling information from previous sessions, allowing for more accurate and informed responses. It takes in user interactions and outputs learned insights, making it ideal for applications requiring persistent memory and adaptive behavior.

Canonical page: https://skillsregistry.net/skills/wubotvix-skillagi  
JSON: https://api.skillsregistry.net/v1/skills/wubotvix-skillagi

## Description

Remember mistakes across sessions.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-21

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-13

## Source

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

## 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": "wubotvix-skillagi"
    }
  }
}
```

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