# Memory Journal

> Use this tool when you need to organize and retain project knowledge, capturing Git commits, issues, and workflows into a searchable graph. It solves problems of information loss and facilitates collaboration, standups, and retrospectives with 16 integrated tools and customizable prompts. Ideal for developers working with AI assistants on complex projects, it provides full-text and semantic search capabilities for efficient knowledge retrieval.

Canonical page: https://skillsregistry.net/skills/neverinfamous-memory-journal  
JSON: https://api.skillsregistry.net/v1/skills/neverinfamous-memory-journal

## Description

Creates persistent project memory for developers working with AI assistants. Captures and organizes Git commits, GitHub issues, pull requests, and CI/CD workflows into a searchable knowledge graph with full-text and semantic search capabilities. Provides 16 tools, 14 workflow prompts, and 13 resources for standups, retrospectives, PR analysis, and CI/CD failure diagnosis.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/neverinfamous-memory-journal)
- **Repository:** <https://github.com/neverinfamous/memory-journal-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": "neverinfamous-memory-journal"
    }
  }
}
```

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