# Learning Database

> Imported skill learning_database from openai

- Skill: `bitwikiorg/learning-database` (Agent Skill)
- Install (CLI): `npx skillmds@latest add bitwikiorg/learning-database`
- Raw SKILL.md: https://api.skillmd.com/api/skills/bitwikiorg/learning-database/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: bitwikiorg (https://skillmd.com/u/bitwikiorg)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/bitwikiorg/learning-database

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# Learning/Post-Mortem Database

**Purpose**: Capture learnings from incidents, projects, or experiences.

## Schema

| Property | Type | Options | Purpose |
|----------|------|---------|---------|
| **Title** | title | - | Event or project name |
| **Date** | date | - | When it happened |
| **Type** | select | Incident, Project, Experiment, Retrospective | Learning type |
| **Severity** | select | Critical, Major, Minor | Impact level (for incidents) |
| **Team** | people | - | Who was involved |
| **Key Learnings** | number | - | Count of learnings |
| **Action Items** | relation | Links to tasks | Follow-up actions |

## Content Template

Each learning page should include:
- **What Happened**: Situation description
- **What Went Well**: Success factors
- **What Didn't Go Well**: Problems encountered
- **Root Causes**: Why things happened
- **Learnings**: Key takeaways
- **Action Items**: Improvements to implement

## Best Practices

1. **Blameless approach**: Focus on systems and processes, not individuals
2. **Document quickly**: Capture while memory is fresh
3. **Identify root causes**: Go beyond surface-level problems
4. **Create action items**: Turn learnings into improvements
5. **Follow up**: Track that action items are completed
6. **Share widely**: Make learnings accessible to entire team