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Awiki Ingest

Community
TacoTakumi
awiki-ingest

Ingest an existing file into the Agent Wiki. Use when the user has a file they want to add to the knowledge base.

Overview

PublisherTacoTakumi
Repositoryagent-wiki
Skill nameawiki-ingest
Stars
51
Forks
2
Bundled files
Instructions only
Links
Skill sourceRepositoryHomepage
  • 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 TacoTakumi on GitHub. Read the source before you install it.

Installation

Install the Awiki Ingest AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/TacoTakumi/agent-wiki/tree/main/src/agent_wiki/skills/awiki-ingest
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/TacoTakumi/agent-wiki.git /tmp/agent-wiki
mkdir -p .claude/skills
cp -r /tmp/agent-wiki/src/agent_wiki/skills/awiki-ingest .claude/skills/awiki-ingest
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Awiki Ingest 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 Awiki Ingest 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 Awiki Ingest 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.

Agent Wiki Ingest

Ingest an existing markdown file into the wiki vault.

Usage

  1. Confirm the file path with the user
  2. Optionally ask for topic and tags
  3. Run: awiki ingest <path> --topic <topic> --tags <tags>
  4. Report what was ingested and where the wiki page was created

Updating an existing page

Pages are generated from raw/, so update the source, not the page:

  1. Edit the page's raw/<name> file.
  2. Run awiki reingest <name>.
  3. If it reports the page has diverged from its raw, it prints a diff and stops. Review it: fold anything worth keeping into the raw, then re-run awiki reingest <name> --force to rebuild from raw.

To update from an external file (not the vault's own raw), use awiki ingest --update <path> (add --force if the page has diverged).

Frequently asked questions

What does the Awiki Ingest AI skill do?

Ingest an existing file into the Agent Wiki. Use when the user has a file they want to add to the knowledge base.

Why use Awiki Ingest on TypingMind?

Because you install it once and use it with any model. Awiki Ingest 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 Awiki Ingest in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TacoTakumi/agent-wiki/tree/main/src/agent_wiki/skills/awiki-ingest. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Awiki Ingest?

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 Awiki Ingest?

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

Is the Awiki Ingest AI skill free?

It is published on GitHub by TacoTakumi. Check the repository for licensing terms. 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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