# Penfield

> Use this tool when you need to manage complex information and recall specific details across multiple interactions. It solves problems related to knowledge retention, context switching, and personalized engagement by building detailed knowledge graphs and facilitating seamless context handoffs. Ideal for applications requiring deep recall and consistent interactions, it accepts diverse inputs and generates structured knowledge outputs.

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

## Description

Manages long-term memory and cognitive state to enable personalized and consistent interactions. Builds complex knowledge graphs by connecting thoughts, insights, and facts for deep recall. Facilitates seamless context handoffs and artifact storage across different work sessions.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-23

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/penfield/penfield)

## 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": "penfield-penfield"
    }
  }
}
```

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