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Create Wiki

Community
maxedapps
create-wiki

Creates and updates reusable, source-backed technology knowledge bases under a project's wiki/ directory. Use this skill when asked to build, expand, refresh, or audit a wiki or knowledge base about frameworks, libraries, platforms, protocols, or engineering practices. Do not use for project documentation, specifications, architecture decisions, implementation plans, changelogs, or one-off research answers that need no reusable wiki.

Overview

Publishermaxedapps
Repositoryagent-skills
Skill namecreate-wiki
Stars
60
Forks
20
Bundled files
Instructions only
LicenseMIT
Links
  • 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 maxedapps on GitHub. Read the source before you install it.

Installation

Install the Create Wiki 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/maxedapps/agent-skills/tree/main/skills/create-wiki
  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/maxedapps/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/skills/create-wiki .claude/skills/create-wiki
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Create Wiki 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 Create Wiki 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 Create Wiki 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.

Create Wiki

Critical rules

  • Write reusable technology knowledge, never documentation for the containing project. Exclude project architecture, requirements, decisions, status, and project-specific examples.
  • Store each technology or topic under wiki/<topic-name>/ with descriptive topic-area files such as best-practices.md or queues-and-jobs.md.
  • Do not create README.md, index, overview-only, or navigation files. Filenames and focused content must make discovery sufficient.
  • Research before writing. Prefer official, version-matched documentation, source, changelogs, standards, and first-party examples; corroborate risky or ambiguous claims.
  • Synthesize instead of copying. Retain source URLs while making each file useful without reopening every source.
  • Ask the user when material scope, audience, version, or topic-priority ambiguity would change the wiki.

Content standard

Each file should provide only the sections useful for its topic:

  • concise mental model and key takeaways
  • correct, runnable examples with assumptions and version constraints
  • day-to-day workflows and recommended defaults
  • common failure modes, edge cases, anti-patterns, and diagnostics
  • trade-offs and when an alternative is preferable
  • links to authoritative sources

Prefer several focused files over one exhaustive document. Avoid generic introductions, duplicated documentation, unsupported opinion, and content saved “just in case.”

Workflow

  1. Frame. Confirm the technology, versions, audience, depth, and requested output. Separate reusable knowledge from project-specific material; route the latter to project documentation, create-plan, or another owning workflow.
  2. Inventory. Read the existing wiki/<topic-name>/ files and relevant dependency/configuration evidence. Identify stale claims, gaps, overlap, and established style before choosing filenames.
  3. Research. Investigate official documentation, implementation/source, changelogs, and credible real-world failure evidence. Resolve version conflicts; where sources disagree or version behavior can't be established, label the uncertainty and its practical consequence rather than guessing.
  4. Design. Choose focused topic-area files around actual tasks, boundaries, and pain points. Update existing files instead of creating parallel coverage; preserve accurate material, replace superseded guidance explicitly so no files contradict each other, and leave unrelated topics alone.
  5. Write. Produce concise, actionable Markdown with examples, pitfalls, version notes, and direct source links. Keep all prose and examples portable to another project using the same technology.
  6. Validate. Re-read the whole topic set to remove duplication and verify code/API claims against the targeted version.

Frequently asked questions

What does the Create Wiki AI skill do?

Creates and updates reusable, source-backed technology knowledge bases under a project's wiki/ directory. Use this skill when asked to build, expand, refresh, or audit a wiki or knowledge base about frameworks, libraries, platforms, protocols, or engineering practices. Do not use for project documentation, specifications, architecture decisions, implementation plans, changelogs, or one-off research answers that need no reusable wiki.

Why use Create Wiki on TypingMind?

Because you install it once and use it with any model. Create Wiki 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 Create Wiki in TypingMind?

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

Which AI models can use Create Wiki?

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 Create Wiki?

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

Is the Create Wiki AI skill free?

Yes. It is published on GitHub by maxedapps under the MIT 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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