# memlog

> memlog — prysmakou-memlog. Use this tool when you need to create and manage notes in Markdown format that are easily readable by humans and parseable by AI agents, solving collaboration and knowledge sharing problems between humans and AI systems. It accepts Markdown text as input and outputs MCP-native format for AI agents, with integration with git for version control. Ideal for use cases where notes need to be both human-readable and AI-parseable.

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

## Description

Markdown notes for humans, MCP-native for AI agents.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/prysmakou/memlog)

## 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": "prysmakou-memlog"
    }
  }
}
```

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

---
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