knowledge-base-ingester

name

knowledge-base-ingester

description

Converts raw notes, brain dumps, documents, and unstructured text into structured knowledge base entries suitable for Notion, Confluence, a wiki, or a personal PKM system. Use this skill whenever a user says "turn these notes into a KB article", "add this to our knowledge base", "structure these raw notes", "write a wiki page from this", "convert this into a how-to guide", "make this searchable", or "ingest this into our docs". Also activate when someone pastes a long unstructured document and wants it organized. Do NOT use for meeting notes (use meeting-notes-to-actions) or code documentation generation.

Knowledge Base Ingester

Transform raw, unstructured content into clean, searchable, consistently formatted knowledge base entries that teams can actually find and use.

When to Use

• Converting a Subject Matter Expert's brain dump into a reference article
• Turning Slack thread discussions into permanent KB entries
• Structuring onboarding notes, runbooks, or how-to guides from raw text
• Migrating content from disparate sources into a unified KB

When NOT to Use

• Meeting notes extraction (use meeting-notes-to-actions)
• Code documentation (use documentation-generator)
• Full documentation refactoring (use docs-refactorer)

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Workflow

Step 1 — Receive and Clarify

Accept the raw content (any format: prose, bullets, transcript, email thread).

Ask:

1. Target system: Notion, Confluence, GitHub wiki, static site, or generic Markdown?
2. Content type: How-to guide / Reference / FAQ / Runbook / Glossary entry?
3. Audience: Internal team, new hires, customers, or public?
4. Tags / categories: If the KB has a taxonomy, what category does this belong to?

Step 2 — Extract Core Knowledge

Read the input and identify:

Element	What to capture
Key concept or procedure	The main thing this entry teaches
Prerequisites	What the reader needs to know first
Steps or facts	The core content in logical order
Examples	Concrete instances that illustrate the concept
Edge cases / gotchas	Things that commonly trip people up
Related topics	Links to other KB entries to add

Step 3 — Structure the Entry

Use this default template:

# [Descriptive Title]

> **Summary:** One-sentence description of what this article covers.

**Last updated:** [Date] | **Author:** [Name] | **Category:** [Tag]

---

## Overview

[2–3 sentence context: what this is, when you'd need it, why it matters]

## Prerequisites

- [Prerequisite 1]
- [Prerequisite 2]

## [Main Content Section — How-To / Reference / Explanation]

### Step 1 — [Action]

[Explanation]

`code or example`

### Step 2 — [Action]

[Explanation]

## Common Issues & Gotchas

- **[Issue]:** [How to handle it]

## Related Articles

- [Link placeholder 1]
- [Link placeholder 2]

Adapt the template to the content type:

• FAQ: Q&A format with bold questions
• Runbook: numbered steps with verification checkpoints
• Glossary: term, definition, example usage, related terms

Step 4 — Tag and Categorize

Suggest 3–5 tags based on content. Common categories: engineering, product, onboarding, security, operations, data, api

Step 5 — Review

Present the draft and ask:

• "Does this capture everything important from the original?"
• "Should I adjust the complexity level for your audience?"
• "Are there related KB articles I should reference?"

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Output Format

Default: Markdown suitable for any KB system.

For Notion: structure using heading blocks with callout boxes for warnings/tips. For Confluence: use Confluence wiki markup hints where different from standard Markdown.

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Safety & Confirmation

• Never include credentials, API keys, passwords, or PII in the KB entry. Replace with <PLACEHOLDER>.
• Flag any content that appears sensitive and ask before publishing.
• Mark content that may be outdated with > ⚠️ This section may be outdated — verify before relying on it.