Meta Knowledge Base Bootstrap

OrganizationPopular

TokenRhythm

meta-knowledge-base-bootstrap

Bootstrap a domain knowledge base from a single seed (URL / PDF path / git repo / free-text topic): classify source → ingest with the right tool → persist to memory + xlsx index.

Overview

Publisher	TokenRhythm
Repository	`opensquilla`
Skill name	`meta-knowledge-base-bootstrap`
Stars	7K
Forks	566
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by TokenRhythm on GitHub. Read the source before you install it.

Installation

Install the Meta Knowledge Base Bootstrap AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/TokenRhythm/opensquilla/tree/main/src/opensquilla/skills/exp/meta-knowledge-base-bootstrap

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/TokenRhythm/opensquilla.git /tmp/opensquilla
mkdir -p .claude/skills
cp -r /tmp/opensquilla/src/opensquilla/skills/exp/meta-knowledge-base-bootstrap .claude/skills/meta-knowledge-base-bootstrap

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Meta Knowledge Base Bootstrap in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Meta Knowledge Base Bootstrap on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Meta Knowledge Base Bootstrap is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Knowledge Base Bootstrap (Meta-Skill)

Seed a domain knowledge base in one turn. The pipeline classifies the seed source type (URL / PDF / GIT / TEXT) and ingests it via the multi-search-engine skill, then persists the report and produces an index.

step	kind	skill	what it does
classify	`llm_classify`	—	label the seed as one of `URL / PDF / GIT / TEXT`
ingest	`skill_exec`	`multi-search-engine`	run a DuckDuckGo search (JSON to stdout)
memorize	`tool_call`	— (`memory_save`)	append the ingestion summary to memory
index	`agent`	`xlsx`	write `kb-index.xlsx` with the result table

The classifier is currently informational only — the ingest step always calls multi-search-engine. A previous design routed PDF → pdf-toolkit and GIT → github, but those branches were dropped when the DSL moved to skill_exec. A follow-up will reintroduce per-classification routing once the corresponding bundled skills also expose entrypoint: manifests.

Fallback

If the meta-flow fails: run the classifier prompt manually, then invoke the appropriate ingestion skill, then memory_save the result, then create the xlsx index with openpyxl.

Frequently asked questions

What does the Meta Knowledge Base Bootstrap AI skill do?

Bootstrap a domain knowledge base from a single seed (URL / PDF path / git repo / free-text topic): classify source → ingest with the right tool → persist to memory + xlsx index.

Why use Meta Knowledge Base Bootstrap on TypingMind?

Because you install it once and use it with any model. Meta Knowledge Base Bootstrap is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Meta Knowledge Base Bootstrap in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TokenRhythm/opensquilla/tree/main/src/opensquilla/skills/exp/meta-knowledge-base-bootstrap. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Meta Knowledge Base Bootstrap?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Meta Knowledge Base Bootstrap?

As many as you like. As long as a model supports skills, you can use Meta Knowledge Base Bootstrap with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Meta Knowledge Base Bootstrap AI skill free?

Yes. It is published on GitHub by TokenRhythm under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Knowledge Base Bootstrap (Meta-Skill)

Fallback

Frequently asked questions

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