# LearnLog

> Use this tool when you need to track and reflect on your learning process with Large Language Models (LLMs). LearnLog captures and stores prompts from learning sessions, helping you identify knowledge gaps and develop metacognitive awareness through daily review queries and historical tracking. It consolidates learning across platforms, allowing you to save and retrieve prompts by date or recent activity for more effective learning.

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

## Description

Automatically captures and stores prompts from learning sessions with LLMs, helping users develop metacognitive awareness of their learning process. Rather than saving responses, it preserves the questions themselves to reveal knowledge gaps. Features daily review queries, historical tracking, and local storage organized by date. Consolidates learning across different platforms with tools for saving prompts and retrieving them by date or recent activity.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/yujaeyun-learnlog)
- **Repository:** <https://github.com/yujaeyun/learnlog-mcp>

## 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": "yujaeyun-learnlog"
    }
  }
}
```

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