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Kb refresh

Skill techwolf-ai/ai-first-toolkit/plugins/knowledge-base/skills/kb-refresh

Open-source Claude Code skills and Codex skills for AI-first work. Audit, re-engineer, and bootstrap projects with AI-first design principles.

Install
npx -y skills add techwolf-ai/ai-first-toolkit --skill kb-refresh

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What its author says it does

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Add new sources to your knowledge base or re-scrape existing ones to pick up changes. Supports Notion, Slack, Confluence, and local files. Can be run anytime after /setup-knowledge-base.

SKILL.md

5.0 KB, as published. Nobody here has run it

KB Refresh

Add content from new sources or update existing KB entries from their original sources.

When to Use

  • Adding a new knowledge source (Notion page, Slack channel, etc.) after initial setup
  • Re-scraping sources to pick up recent changes
  • Importing additional documents into the KB

Prerequisites

Check that kb/ and kb/.kb-config.yaml exist. If not, tell the user to run /setup-knowledge-base first.

Step 1: Understand Current KB

Read the KB config and index to understand what's already there:

kb/.kb-config.yaml
kb/index.md

Run the index script to see the current state:

python3 scripts/kb-index.py

Step 2: Discover Sources

Ask the user (use AskUserQuestion with multiSelect):

"What sources do you want to add or refresh?"

  • Notion pages
  • Slack channels
  • Confluence pages
  • Local files or folders
  • Other

Collect Entry Points

For each selected source, ask the user for the entry point:

SourceWhat to askMCP tool
NotionPage URL (will scrape the page and all subpages recursively)notion-fetch with the page URL, then notion-search or notion-get-page-descendants for child pages
SlackChannel name(s) to extract knowledge fromslack_read_channel to read recent messages
ConfluenceSpace key or page URLgetConfluencePage + getConfluencePageDescendants for recursive scraping
Local filesDirectory path or file pathsRead tool directly

Step 3: Choose Processing Mode

Ask the user (use AskUserQuestion):

"Process one at a time or all in parallel?"

  • One at a time (review each before continuing)
  • All in parallel (faster, review at the end)

Step 4: Scrape and Extract

For each source, launch a subagent (or process sequentially, per the user's choice):

You are populating a knowledge base from an external source.

SOURCE: {source_type}: {url_or_path}

KB CATEGORIES (place entries in the most relevant one):
{list of categories from .kb-config.yaml}

EXISTING ENTRIES (avoid duplicating these):
{output from kb-index.py}

INSTRUCTIONS:
1. Read/scrape the source content using the appropriate tool
2. For Notion/Confluence: follow all child pages and subpages recursively
3. For Slack: focus on pinned messages, bookmarks, and high-signal threads (not casual chat)
4. Split the content into distinct topics. Create one .md file per topic, not one giant file.
5. If an existing entry covers the same topic, UPDATE it rather than creating a duplicate.
   Read the existing file first, merge the new information, and update last_updated.
5a. For org-context KBs (company/team/personal knowledge, not just policy docs), actively hunt for these content types — they are the most commonly missed:
    - **Stakeholders**: one entry per key person (role, ownership areas, how to reach them, what they care about). Without these, the KB can't answer "who should I talk to about X?".
    - **Projects**: one entry per initiative (goal, owner, status, links). Distinct from generic "strategy" entries.
    - **Repositories / codebases**: one entry per repo (purpose, key files, how to run, ownership).
    - **Customer examples**: keep concrete names (e.g., "Acme Corp", "Globex") that make abstract concepts tangible. Don't strip them for anonymity unless the user asks.
6. For new entries, create a file in kb/{category}/ with this format:

---
title: "Topic Title"
description: "Brief one-liner for index lookup"
category: {category}
tags: [{relevant}, {tags}]
sources: ["{source_url_or_path}"]
last_updated: "{today's date}"
---


## Content

Write clear, quotable statements. Each fact should be independently citable.

7. Use lowercase-with-hyphens for filenames: product-overview.md, data-encryption.md
8. Preserve specifics: exact numbers, dates, names, versions
9. No opinions or speculation, only facts from the source
10. Skip content that is outdated, trivial, or not worth preserving

REPORT: When done, list all files created or updated with their category and a one-line description.

Step 5: Review

After all sources are processed:

  1. Run python3 scripts/kb-index.py --write to regenerate kb/index.md's "All Files by Category" section from the current KB.
  2. Run python3 scripts/kb-validate.py to catch missing frontmatter, bad categories, or broken related: links.
  3. Run python3 scripts/kb-validate.py --max-age 90 (or a shorter window if the source changes faster) to surface entries that have drifted since their last refresh.
  4. Spot-check discoverability with python3 scripts/kb-search.py "<term the refresh should have covered>" to confirm new entries are searchable.
  5. Present a summary: X entries created, Y entries updated, from Z sources. Flag any warnings, errors, or stale entries.
  6. Ask the user if they want to add more sources or are done.

Keep looking

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