# break-attention-fixation

> break-attention-fixation — agicoffe-break-attention-fixation. Use this tool when you need to overcome limitations in language model performance caused by attention loops, local minima, or contextual fixation. It breaks these patterns using a unique 3D bitspace phase-shift approach inspired by Beethoven Sonata dynamics, allowing for more diverse and innovative output. Ideal for applications where creativity and avoiding repetitive responses are crucial.

Canonical page: https://skillsregistry.net/skills/agicoffe-break-attention-fixation  
JSON: https://api.skillsregistry.net/v1/skills/agicoffe-break-attention-fixation

## Description

Non-Transformer 3D bitspace phase-shift tool for breaking LLM attention loops, local minima, and contextual fixation using Beethoven Sonata dynamics.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rlewuj862w)
- **Repository:** <https://github.com/AGICoffe/break_attention_fixation>

## 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": "agicoffe-break-attention-fixation"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agicoffe-break-attention-fixation` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agicoffe-break-attention-fixation/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
