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Skillkit Help

Community
rfxlamia
skillkit-help

Pre-build orientation for skill creators. Answers "what are skills?", "should I make one?", and "is my skill good enough?" before you start building. Use for: understand skills, decide skills vs subagents, validate an existing skill. When ready to actually build, invoke /skillkit directly instead.

Overview

Publisherrfxlamia
Repositoryskillkit
Skill nameskillkit-help
Stars
104
Forks
15
Bundled files
7
LicenseApache-2.0
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.

  • 7 bundled files

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

  • Open source

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

Installation

Install the Skillkit Help 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/rfxlamia/skillkit/tree/main/skills/skillkit-help
  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/rfxlamia/skillkit.git /tmp/skillkit
mkdir -p .claude/skills
cp -r /tmp/skillkit/skills/skillkit-help .claude/skills/skillkit-help
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skillkit Help 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 Skillkit Help 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 Skillkit Help 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.

Routing

Detect which path the user needs and jump directly to it.

User saysRoute
"what are skills", "how do skills work", "explain", "understand", "not sure", "should I"→ Path A
"validate", "check", "review my skill", "is this good"→ Path B
"ready to build", "let's create", "make a skill"Tell them: "You're ready — invoke /skillkit directly to start building."
AmbiguousAsk: "Do you want to (A) understand how skills work, (B) validate an existing skill, or are you ready to build (invoke /skillkit)?"

Path A: Understand How Skills Work

Goal: Build a mental model of skills — what they are, when to use them, and whether you actually need one — before starting to build.

Step 1 — Why skills exist

Load and read in full: knowledge/foundation/01-why-skills-exist.md

Summarize for the user: skills are reusable prompt-time instructions that extend your agent's behavior for specific tasks. They live in ~/.claude/skills/ and are invoked via /skill-name.

Step 2 — Skills vs subagents

Load and read: knowledge/foundation/02-skills-vs-subagents-comparison.md

Explain the difference with a concrete example:

  • Skill: "When I type /review-pr, load these code review instructions"
  • Subagent: "Spin up a separate agent with browser tools to scrape and summarize a URL"

Step 3 — Decision framework

Load and read: knowledge/foundation/03-skills-vs-subagents-decision-tree.md

Walk the user through the decision tree for their specific use case.

Step 4 — Platform constraints

Load and read: knowledge/foundation/06-platform-constraints.md

Cover the key rules: frontmatter requirements, size limits, trigger conditions.

Step 5 — Hand off to the builder

Tell the user: "You now have enough context to start building. Invoke /skillkit — it will guide you through the full creation workflow."


Path B: Validate an Existing Skill

Goal: Check an existing skill for quality issues before sharing or publishing.

Step 1 — Load validation standards

Load and read in full: knowledge/application/12-testing-and-validation.md

Step 2 — Run the checklist

Ask the user to share their SKILL.md content or path. Then check:

  • Frontmatter: name, description, category all present
  • Description has a clear trigger (when to invoke it)
  • At least one concrete usage example in description or body
  • No hardcoded secrets, API keys, or PII
  • SKILL.md is under 500 lines (if over, recommend splitting)
  • Sections are clearly delimited with ## headings
  • Invoke in Claude Code: does it fire correctly?

Report findings: pass/fail per item, specific fix for each failure.

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 Skillkit Help AI skill do?

Pre-build orientation for skill creators. Answers "what are skills?", "should I make one?", and "is my skill good enough?" before you start building. Use for: understand skills, decide skills vs subagents, validate an existing skill. When ready to actually build, invoke /skillkit directly instead.

Why use Skillkit Help on TypingMind?

Because you install it once and use it with any model. Skillkit Help 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 Skillkit Help in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rfxlamia/skillkit/tree/main/skills/skillkit-help. 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 Skillkit Help?

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 Skillkit Help?

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

Is the Skillkit Help AI skill free?

Yes. It is published on GitHub by rfxlamia 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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