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Skill Creator

CommunityPopular
Chevey339
skill-creator

Create or improve skills, turn a conversation into reusable SKILL.md instructions, and validate their behavior. Use when the user asks to build, revise, or test a skill.

Overview

PublisherChevey339
Repositorykelivo
Skill nameskill-creator
Stars
4K
Forks
438
Bundled files
Instructions only
LicenseAGPL-3.0
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 Chevey339 on GitHub. Read the source before you install it.

Installation

Install the Skill Creator 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.
  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/Chevey339/kelivo.git /tmp/kelivo
mkdir -p .claude/skills
cp -r /tmp/kelivo/assets/skills/skill-creator .claude/skills/skill-creator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Creator 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 Skill Creator 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 Skill Creator 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.

Skill Creator

Help the user turn a repeatable task into a skill that works in Kelivo. Write instructions and explain the result in the user's language.

Understand the task

Use the current conversation first: extract the goal, inputs, expected output, important corrections, and tools that actually worked. Ask only for missing details that would change the skill. A clear request is enough to start drafting.

For an update, read the existing SKILL.md and the resources affected by the change. Preserve the user's workflow and unrelated content. Treat examples as examples; only turn a preference into a general rule when the user wants it.

Write the skill

A skill is a directory with a UTF-8 file named exactly SKILL.md. Begin with YAML frontmatter containing name and description, followed by Markdown:

markdown
---
name: meeting-actions
description: Turn meeting notes into decisions, action items, and open questions. Use when the user asks to summarize a meeting or extract follow-up tasks.
---

# Meeting Actions

Read the provided notes and separate decisions, action items, and open questions.
For each action, include the owner and deadline when given; mark missing values
as unspecified. Keep tentative proposals distinct from agreed decisions.

Choose a short lowercase name using letters, digits, and hyphens, at most 64 characters. Use the same name for its directory. Write a concise description that says what the skill does and when to use it; Kelivo shows only the first 200 characters in the model's skill list. Put detailed instructions in the body.

Include the task-specific decisions, output shape, and completion criteria that improve the result. Keep the entrypoint focused. Add these directories only when the task needs them:

  • references/: detailed guidance consulted for a particular case. Link each reference from SKILL.md and say when to read it.
  • scripts/: reusable, deterministic operations. Check the required runtime is available and execute new or changed scripts against a small example.
  • assets/: templates or other files used in the output.

Use relative paths for resources. Avoid private absolute paths, credentials, and instructions that assume a particular developer's computer. Refer to configured environment variables by name when credentials are needed. Dependencies belong in the instructions only if the workflow needs them; a Markdown-only skill requires neither Python nor Node.js.

Deliver in Kelivo

Use the tools and path zones shown in the current conversation. Kelivo supports SKILL.md instructions and supporting files; Codex/Claude-specific CLI commands, plugin manifests, subagents, and evaluation runners are not prerequisites.

  • Workspace with a working shell: install directly into Kelivo's skills directory using the skills path provided in the workspace context (/skills in a sandbox, the supplied host path in native mode). For skill creation and updates, use shell: write_file and edit_file treat this directory as read-only. For a new skill, choose an unused directory matching its name; for an update, use the existing directory and preserve unrelated files. Write supporting files there with their relative paths intact, then write the complete SKILL.md last. Kelivo rescans installed skills after shell commands, so saving here installs the skill without a separate import.
  • No workspace or no working shell: installed skills remain read-only. Return the complete SKILL.md in a fenced Markdown block as a draft. Explain that direct installation requires a bound workspace with a working shell.

After installation, read back SKILL.md and its referenced files. Link the saved entrypoint as kelivo://skills/<skill-directory>/SKILL.md, using the actual directory name and URI-encoding each path component. Claim installation only after saving and verification succeed. New skills are enabled by default; an assistant or conversation with an explicit skill selection may need the new skill selected.

Validate and refine

Before delivery, check that name and description are present, frontmatter closes before the body, referenced files exist, and the instructions only depend on available tools or explicitly documented prerequisites. Finish or remove draft placeholders. Check that the skill directory contains all required files.

Use a representative request to check the intended behavior and a nearby request that should not trigger the skill. For outputs with objective requirements, check those requirements; for subjective work, show a sample for user feedback. Run a small example when the necessary tools and inputs are available. Distinguish checks actually run from suggested test prompts, and keep any test outputs outside the skill directory unless they are useful maintained examples.

End with what the skill does, where it was installed or what is needed to install the draft, and what was verified. Make later changes from observed behavior and user feedback.

Frequently asked questions

What does the Skill Creator AI skill do?

Create or improve skills, turn a conversation into reusable SKILL.md instructions, and validate their behavior. Use when the user asks to build, revise, or test a skill.

Why use Skill Creator on TypingMind?

Because you install it once and use it with any model. Skill Creator 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 Skill Creator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Chevey339/kelivo/tree/master/assets/skills/skill-creator. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Skill Creator?

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 Skill Creator?

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

Is the Skill Creator AI skill free?

Yes. It is published on GitHub by Chevey339 under the AGPL-3.0 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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