Enterprise Search
ZhixiangLuo/10xProductivity
Search your entire company's institutional knowledge in one query — Slack, Confluence, Jira, Linear, Notion, GitHub, plus any AI or multi-source search tool listed in verifiedconnections.md.
Add new sources to your knowledge base or re-scrape existing ones to pick up changes.
$ npx skills add techwolf-ai/ai-first-toolkit --skill kb-refresh -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install techwolf-ai/ai-first-toolkit kb-refresh --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/techwolf-ai/ai-first-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/knowledge-base/skills/kb-refresh .claude/skills/kb-refresh && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "kb-refresh" agent skill from https://github.com/techwolf-ai/ai-first-toolkit/tree/main/plugins/knowledge-base/skills/kb-refresh into .claude/skills/kb-refresh/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kb-refresh", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/techwolf-ai/ai-first-toolkit/tree/main/plugins/knowledge-base/skills/kb-refreshType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add techwolf-ai/ai-first-toolkit --skill kb-refresh -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install techwolf-ai/ai-first-toolkit kb-refresh --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/techwolf-ai/ai-first-toolkit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/knowledge-base/skills/kb-refresh .agents/skills/kb-refresh && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "kb-refresh" agent skill from https://github.com/techwolf-ai/ai-first-toolkit/tree/main/plugins/knowledge-base/skills/kb-refresh into .agents/skills/kb-refresh/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kb-refresh", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add techwolf-ai/ai-first-toolkit --skill kb-refresh -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install techwolf-ai/ai-first-toolkit kb-refresh --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/techwolf-ai/ai-first-toolkit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/knowledge-base/skills/kb-refresh .cursor/skills/kb-refresh && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "kb-refresh" agent skill from https://github.com/techwolf-ai/ai-first-toolkit/tree/main/plugins/knowledge-base/skills/kb-refresh into .cursor/skills/kb-refresh/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kb-refresh", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/techwolf-ai/ai-first-toolkit.git --path plugins/knowledge-base/skills/kb-refresh--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add techwolf-ai/ai-first-toolkit --skill kb-refresh -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install techwolf-ai/ai-first-toolkit kb-refresh --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/techwolf-ai/ai-first-toolkit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/knowledge-base/skills/kb-refresh .gemini/skills/kb-refresh && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "kb-refresh" agent skill from https://github.com/techwolf-ai/ai-first-toolkit/tree/main/plugins/knowledge-base/skills/kb-refresh into .gemini/skills/kb-refresh/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kb-refresh", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install techwolf-ai/ai-first-toolkit kb-refreshInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add techwolf-ai/ai-first-toolkit --skill kb-refresh -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/techwolf-ai/ai-first-toolkit.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/knowledge-base/skills/kb-refresh .github/skills/kb-refresh && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "kb-refresh" agent skill from https://github.com/techwolf-ai/ai-first-toolkit/tree/main/plugins/knowledge-base/skills/kb-refresh into .github/skills/kb-refresh/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kb-refresh", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add techwolf-ai/ai-first-toolkit --skill kb-refresh -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install techwolf-ai/ai-first-toolkit kb-refresh --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/techwolf-ai/ai-first-toolkit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/knowledge-base/skills/kb-refresh .opencode/skills/kb-refresh && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "kb-refresh" agent skill from https://github.com/techwolf-ai/ai-first-toolkit/tree/main/plugins/knowledge-base/skills/kb-refresh into .opencode/skills/kb-refresh/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kb-refresh", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
kb-refreshAdd new sources to your knowledge base or re-scrape existing ones to pick up changes.
Kb Refresh is an agent skill from techwolf-ai/ai-first-toolkit. 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.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Knowledge Management, covering Web scraping and Knowledge bases. It works with Notion, Slack, Confluence and Python. The repository describes itself as: Open-source Claude Code skills and Codex skills for AI-first work. Audit, re-engineer, and bootstrap projects with AI-first design principles. The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 2ee7841. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Kb Refresh loads about 1.3k tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 362 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from techwolf-ai/ai-first-toolkit at commit 2ee7841, republished under its MIT licence (© techwolf-ai). 362 words, ~1,275 tokens.
.claude/skills/kb-refresh/SKILL.md (or your agent's skills folder).Add content from new sources or update existing KB entries from their original sources.
Check that kb/ and kb/.kb-config.yaml exist. If not, tell the user to run /setup-knowledge-base first.
Read the KB config and index to understand what's already there:
kb/.kb-config.yaml
kb/index.mdRun the index script to see the current state:
python3 scripts/kb-index.pyAsk the user (use AskUserQuestion with multiSelect):
"What sources do you want to add or refresh?"
For each selected source, ask the user for the entry point:
| Source | What to ask | MCP tool |
|---|---|---|
| Notion | Page 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 |
| Slack | Channel name(s) to extract knowledge from | slack_read_channel to read recent messages |
| Confluence | Space key or page URL | getConfluencePage + getConfluencePageDescendants for recursive scraping |
| Local files | Directory path or file paths | Read tool directly |
Ask the user (use AskUserQuestion):
"Process one at a time or all in parallel?"
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.After all sources are processed:
python3 scripts/kb-index.py --write to regenerate kb/index.md's "All Files by Category" section from the current KB.python3 scripts/kb-validate.py to catch missing frontmatter, bad categories, or broken related: links.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.python3 scripts/kb-search.py "<term the refresh should have covered>" to confirm new entries are searchable.© techwolf-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in plugins/knowledge-base/skills/kb-refresh of techwolf-ai/ai-first-toolkit.
Open the folder on GitHubat commit 2ee7841
Kb Refresh next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Kb Refresh this skilltechwolf-ai/ai-first-toolkit | 132 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Enterprise SearchZhixiangLuo/10xProductivity | 478 | — | ~535 | Automated safety check: Pass | MIT | |
| Knowledge Base ArchitectFerroxLabs/wayland | 608 | — | ~4.1k | Automated safety check: Pass | Apache-2.0 | |
| Firecrawl Knowledge Basefirecrawl/skills | 115 | — | ~612 | Automated safety check: Pass | ISC | |
| Cf Crawldavila7/claude-code-templates | 32k | — | ~2.6k | Automated safety check: Notes | MIT | |
| LLM Wiki Knowledge GraphEgonex-AI/Understand-Anything | 85k | 1 repos | ~1.5k | Automated safety check: Pass | MIT |
ZhixiangLuo/10xProductivity
Search your entire company's institutional knowledge in one query — Slack, Confluence, Jira, Linear, Notion, GitHub, plus any AI or multi-source search tool listed in verifiedconnections.md.
FerroxLabs/wayland
Internal knowledge management expert covering documentation structure design, wiki architecture (Confluence, Notion, GitBook), information taxonomy, search optimization, content governance…
firecrawl/skills
Build a knowledge base from web content with Firecrawl. An agent skill from firecrawl/skills.
davila7/claude-code-templates
Crawl entire websites using Cloudflare Browser Rendering /crawl API.
Egonex-AI/Understand-Anything
Detects a Karpathy-pattern LLM wiki and builds an interactive knowledge graph with entities, implicit relationships and topic clusters.
skrun-dev/skrun
Turn a folder of Markdown notes (Obsidian vault, Notion export, plain repo docs) into a navigable static HTML knowledge base bundled as a single .zip file.
techwolf-ai/ai-first-toolkit
Mine the user's Claude Code + Cowork session history into a structured task profile, what they do with AI, how often, how successfully where friction lives, then propose atomic skills that would…
techwolf-ai/ai-first-toolkit
Personal diagnosis of where your Claude Code + Cowork spend goes.
techwolf-ai/ai-first-toolkit
Find context from past Claude Code (CLI) and Claude Cowork (desktop) sessions on this Mac.
techwolf-ai/ai-first-toolkit
Write or develop a blog post. An agent skill from techwolf-ai/ai-first-toolkit.
techwolf-ai/ai-first-toolkit
Write or develop an opinion piece (opiniestuk/op-ed). An agent skill from techwolf-ai/ai-first-toolkit.
techwolf-ai/ai-first-toolkit
Analyze, re-engineer, or bootstrap projects to align with AI-first design principles.
Works with
Categories
Add new sources to your knowledge base or re-scrape existing ones to pick up changes. Kb Refresh is an agent skill from techwolf-ai/ai-first-toolkit. Add new sources to your knowledge base or re-scrape existing ones to pick up changes.
Kb Refresh fits situations like: tasks that involve Web scraping; tasks that involve Knowledge bases.
Run `npx skills add techwolf-ai/ai-first-toolkit --skill kb-refresh -a claude-code`. Or copy the skill folder (plugins/knowledge-base/skills/kb-refresh in techwolf-ai/ai-first-toolkit) into .claude/skills/kb-refresh in your project. Claude Code loads it when a task matches its description.
Run `npx skills add techwolf-ai/ai-first-toolkit --skill kb-refresh -a codex`. Or copy the skill folder (plugins/knowledge-base/skills/kb-refresh in techwolf-ai/ai-first-toolkit) into .agents/skills/kb-refresh in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add techwolf-ai/ai-first-toolkit --skill kb-refresh -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/kb-refresh, .gemini/skills/kb-refresh, .github/skills/kb-refresh and .opencode/skills/kb-refresh in your project.
Going by SKILL.md and its folder, Kb Refresh needs the command-line tools its instructions call (python3). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Kb Refresh is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.3k tokens (SKILL.md is roughly 5.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Kb Refresh: Enterprise Search (ZhixiangLuo/10xProductivity, 478 stars), Knowledge Base Architect (FerroxLabs/wayland, 608 stars), Firecrawl Knowledge Base (firecrawl/skills, 115 stars) and Cf Crawl (davila7/claude-code-templates, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
techwolf-ai (a GitHub organization) maintains it in techwolf-ai/ai-first-toolkit, which has 132 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on September 29, 2026.
Source: techwolf-ai/ai-first-toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.