# reflective-agent-architecture

> reflective-agent-architecture — angrysky56-reflective-agent-architecture. Use this tool when you need to solve complex problems that require insight and analogical reasoning, and you want to leverage metacognitive AI architecture to detect confusion and adapt to changing conditions. It takes in complex problem statements and outputs innovative solutions, utilizing energy-based search and adaptive beta scaling to optimize results. Ideal for use cases where traditional problem-solving methods are insufficient, such as novel pattern recognition or topology tunneling applications.

Canonical page: https://skillsregistry.net/skills/angrysky56-reflective-agent-architecture  
JSON: https://api.skillsregistry.net/v1/skills/angrysky56-reflective-agent-architecture

## Description

Metacognitive AI architecture combining Modern Hopfield Networks with entropy-based confusion detection for insight-like problem solving. Implements energy-based search, adaptive beta scaling, and a Cognitive Database integration for analogical reasoning and topology tunneling.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/angrysky56/reflective-agent-architecture)

## 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": "angrysky56-reflective-agent-architecture"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/angrysky56-reflective-agent-architecture` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/angrysky56-reflective-agent-architecture/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