# BaseLayer

> BaseLayer — agulaya24-baselayer. Use this tool when you need to align AI agent behavior with human reasoning and decision-making processes. BaseLayer encodes human communication and decision patterns into portable specifications, solving inconsistencies in AI agent interactions and enabling seamless human-AI collaboration. It takes in human behavioral data as input and outputs standardized, git-integrated specifications for AI agents to follow.

Canonical page: https://skillsregistry.net/skills/agulaya24-baselayer  
JSON: https://api.skillsregistry.net/v1/skills/agulaya24-baselayer

## Description

The interpretive layer above memory. Turns text into a portable specification of how a specific person interprets information, decides, and communicates.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/agulaya24/BaseLayer)

## 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": "agulaya24-baselayer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agulaya24-baselayer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agulaya24-baselayer/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