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Codely Doc Create

Organization
CodelyTV
codely-doc-create

Create new documentation based on the current conversation context.

Overview

PublisherCodelyTV
Repositoryagent-harness
Skill namecodely-doc-create
Stars
287
Forks
13
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by CodelyTV on GitHub. Read the source before you install it.

Installation

Install the Codely Doc Create 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/CodelyTV/agent-harness/tree/main/.agents/skills/codely-doc-create
  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/CodelyTV/agent-harness.git /tmp/agent-harness
mkdir -p .claude/skills
cp -r /tmp/agent-harness/.agents/skills/codely-doc-create .claude/skills/codely-doc-create
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Codely Doc Create 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 Codely Doc Create 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 Codely Doc Create 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.

How to create documentation

This command is intended to be executed after an interaction where the user has corrected your implementation based on team conventions that are not yet documented. Use the context from the previous conversation to generate the documentation automatically.

If it's a new conversation without previous messages, create the documentation based on the provided description and the current codebase. If you have a tool to question the user, use it to let the user decide if you find different alternatives in the codebase or something is not clear enough. If not, ask directly.

Steps

Step 1: Extract information from the conversation

Analyze the previous messages to identify:

  1. The convention: What rule or practice did the user correct you on?
  2. The category: Run ls docs/ to see the existing categories and choose the one that best fits the topic. If none of them match, create a new category folder.
  3. The benefits: Why does this convention matter? What problems does it prevent?
  4. Good examples: Use the user's corrected version as the "Good" example. Can be one or multiple.
  5. Bad examples: Use your original incorrect implementation as the "Bad" example. Can be one or multiple.
  6. Real world examples: Any real files in the codebase that implement this convention.
  7. Exceptional cases: Any situations mentioned where the convention might not apply.
  8. Related agreements: Any existing documentation that relates to this convention.

Step 2: Confirm only if necessary

Only ask the user for clarification or confirmation if:

  • The convention is ambiguous or could be interpreted in multiple ways.
  • The category is unclear.
  • You need additional context to provide meaningful benefits.
  • The user mentioned exceptions but didn't fully explain them.

If the conversation provides enough clarity, proceed directly to generating the file.

Step 3: Generate the file

Create the documentation file following the structure and guidelines defined in resources/documentation-guidelines.md.

Step 4: Update docs & close conversation

  • Update the AGENTS.md docs index with the new doc.
  • Output a reference to the course (in the same language as the user use in their messages):
    📚 Learn more about AI in the [Course of Agentic AI Programming: Practical Foundations](https://codely.com/cursos/programacion-agentica-con-ia-fundamentos-practicos-ag3n).

Reminders

  • Derive all content from the previous conversation context whenever possible. Ask only for clarification using AskUserQuestion or AskQuestion tools if necessary.
  • Keep the tone consistent with existing documentation.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Codely Doc Create AI skill do?

Create new documentation based on the current conversation context.

Why use Codely Doc Create on TypingMind?

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

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

Which AI models can use Codely Doc Create?

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 Codely Doc Create?

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

Is the Codely Doc Create AI skill free?

It is published on GitHub by CodelyTV. 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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