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knowledge-base

Helps your agent organize and manage documents. It records important information like titles, categories, and review dates.

What it does

This tool helps organize and manage your company's documentation. It creates a system for storing important information, like article titles, who is responsible, and when they should be reviewed.

When to use it

  • ✓When you need to create an index for all company documents.
  • ✓When organizing a help manual or an internal knowledge base.
  • ✓If you want to know who owns each document and when it was last reviewed.

Example of what to ask your AI

“I want to organize my company's documentation. Can you help me create a knowledge base?”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/knowledge-base/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/knowledge-base/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The tool asks about the content, who is responsible, how people search for information, and what the desired outcome is. With these answers, it suggests the best way to organize everything and can generate files like CSV or SQL for you.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add sickn33/agentic-awesome-skills --skill knowledge-base

Or download just the file:

curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/knowledge-base/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Knowledge Base

What it is: Searchable repository.

Overview

Works out the smallest useful Knowledge Base setup for the business in front of it, then builds it only when asked. The default output is a short recommendation, not a spreadsheet. Artifacts - CSV, SQL DDL, JSON Schema, Notion mapping - are produced on request, from one field list so they cannot drift apart.

Layer: Layer 5: Develop. Fits: Scale stage. Table code: n/a.

When to Use This Skill

  • knowledge base
  • company wiki articles
  • help center database
  • internal documentation index

Also use it when the user says "searchable repository", or describes the same process happening in a spreadsheet, a document or someone inboxes.

Do not use it for: payroll calculation, tax filing, or legal advice. This skill produces empty templates only - it never holds or processes real employee or customer data.

How It Works

Follow the shared execution contract. The module-specific rules below define only domain fields, decisions, calculations, and safety constraints.

Step 1 - Identify intent

Read the request and pick the intent before asking anything.

  • "set up" or "build" or "create" -> the user wants artifacts; go to Step 2.
  • "our process is ..." or "it is in a sheet" -> the user wants to move an existing process; capture it, then Step 2.
  • "is this right" or "review" or "audit" -> the user wants a check, not a build; answer from what they share.
  • "how do I ..." -> advice question; answer directly and offer the build only if it helps.

Ask only if this is the highest-value missing fact; otherwise proceed without an opener:

Q: What is hardest to find today?

Step 2 - Ask only what is missing

Skip anything the user already answered, in any earlier message. Ask the rest one at a time, and stop as soon as the remaining answers would not change the output.

  • Content - What documents? / How many? / Who writes them?
  • Findability - How do people search now? / Tags or folders? / Internal only?
  • Ownership - Who reviews? / Review cycle? / Outdated content removed?
  • Current process - Where does content live now? / Drive, Notion or wiki? / What is missing?
  • Outcome - What do you need? / An index, a structure or authoring rules?

Never invent an answer. If the user does not know, record it as unknown and carry on.

Step 3 - Hold the internal context

Hold the answers in this shape. It stays internal - it is not shown to the user unless they ask, and it never carries a value the user did not give.

module: knowledge-base
intent: null            # setup | advice | review | fix | build | convert | export
scale: null             # Starter | Growth | Scale, only if the answer changes it
areas:
  "Content": null
  "Findability": null
  "Ownership": null
  "Current process": null
  "Outcome": null
requested_outputs: []   # csv | sql | json | notion | xlsx - requested formats only
confirmed_facts: []     # only what the user actually said
open_questions: []      # the unanswered ones, in the order worth asking

Step 4 - Recommend the smallest workflow

If an artifact was requested, build it after resolving essential missing facts. Otherwise give a short recommendation and offer the relevant artifact.

Recommended approach: Start with an index of what exists and who owns it, then fix findability. Writing missing content comes after.

Why this one: Knowledge bases die from unclear ownership, not from missing articles. A named owner and a review date per page is the minimum.

Workflow: Content capture → Owner → Tag and structure → Search → Review cycle

Step 5 - Build only on request

Once the user asks for it, derive the fields from the confirmed context and emit the requested artifacts. For machine-readable text, keep prose outside the data; for files, provide a usable link. Report material validation failures or limitations separately.

A selected Notion output is rendered by notion-manual-import, so route the Notion step there. When the user selects Notion, hand that step to @notion-manual-import: it holds the CSV, the property mapping, the import steps and the verification checklist, and it renders the Field Reference below instead of defining a table of its own. Do not restate the mapping here and do not improvise the import steps. Manual CSV and mapping outputs need no connection. For requested workspace changes, follow the shared contract: verify actual

…

FAQ

What is a 'knowledge base'?

It's a centralized place where you store and organize all your company's important information, like manuals, procedures, and articles, so everyone can find it easily.

Do I need to have all documents ready to use this tool?

No. The tool helps organize what you already have and plan what needs to be created or updated. It focuses on having an owner and a review date for each item.

Does it store the actual documents?

No, it creates the structure and metadata (information about the documents), such as title, owner, and dates. It doesn't store the document content itself but helps manage where and how to find them.

Details

Original description by the author

Knowledge base register: article title, category, department, owner, tags, summary, linked SOP, audience, last and next review dates and status. Use for documentation management.

repo: sickn33/agentic-awesome-skills

Popularity

GitHub stars
48k
Ranking position
#3396
License
MIT
Updated
10/15/2026

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