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Skill Create

Organization
ww-w-ai
skill-create

Interactive skill creation workflow for project-local skills. Triggers: skill-create, create skill

Overview

Publisherww-w-ai
Repositorybkit-claude-code
Skill nameskill-create
Stars
601
Forks
154
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ww-w-ai on GitHub. Read the source before you install it.

Installation

Install the Skill 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.
  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/ww-w-ai/bkit-claude-code.git /tmp/bkit-claude-code
mkdir -p .claude/skills
cp -r /tmp/bkit-claude-code/skills/skill-create .claude/skills/skill-create
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill 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 Skill 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 Skill 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.

skill-create - Interactive Skill Creation Workflow

프로젝트 컨텍스트를 분석하여 project-local 스킬을 생성하는 워크플로우.

Workflow Steps

Step 1: Gather Information

If /skill-create (no args):

  1. Ask user for skill name (kebab-case)
  2. Ask user for skill purpose/description
  3. Ask user for classification: workflow or capability

If /skill-create {name}:

  1. Use provided name
  2. Analyze project context to infer purpose
  3. Ask user to confirm/modify

If /skill-create from-btw {btw-id}:

  1. Read btw suggestion from .bkit/btw-suggestions.json
  2. Use suggestion text as seed for skill description
  3. Use suggestion context for project context

Step 2: Analyze Project Context

  1. Read CLAUDE.md for project conventions
  2. Scan project structure:
    • Identify tech stack (Java/Spring, Next.js, Python, etc.)
    • Find relevant patterns in source code
    • Check existing project-local skills for overlap
  3. Determine appropriate:
    • Allowed tools for the skill
    • Trigger keywords (Korean + English)
    • Related files/patterns to reference

Step 3: Generate SKILL.md

Create .claude/skills/project/{name}/SKILL.md with:

yaml
---
name: {name}
classification: {workflow|capability}
classification-reason: "{reason based on analysis}"
deprecation-risk: none
effort: low
description: |
  {Generated description}
  Triggers: {trigger commands}
  Keywords: {keywords in Korean and English}
argument-hint: "{usage hint}"
user-invocable: true
allowed-tools:
  - Read
  - Write
  - Edit
  - Glob
  - Grep
  - Bash
---

Body content includes:

  • Purpose and when to use
  • Step-by-step instructions for workflow skills
  • Pattern reference for capability skills
  • Code examples from actual project files
  • Integration points with other skills

Step 4: Generate Eval Files (optional)

Create evals/{name}/ directory with:

evals/{name}/
  eval.yaml        - Test configuration
  prompt.txt       - Test prompt
  expected.txt     - Expected behavior description

eval.yaml format:

yaml
name: "{name} skill eval"
skill: ".claude/skills/project/{name}/SKILL.md"
tests:
  - name: "basic trigger"
    prompt: "{trigger command}"
    expected:
      - "{expected behavior 1}"
      - "{expected behavior 2}"
  - name: "edge case"
    prompt: "{edge case prompt}"
    expected:
      - "{expected behavior}"

Step 5: Confirm and Report

  1. Show generated file paths
  2. Show skill summary (name, classification, triggers)
  3. Suggest: "Test with /{name} or review at .claude/skills/project/{name}/SKILL.md"

Project-Local Skill Location

All generated skills go to: .claude/skills/project/{name}/SKILL.md

This location:

  • Is git-trackable for team sharing
  • Takes precedence over bkit core skills (2-layer architecture)
  • Is auto-loaded by Claude Code's skill discovery

Naming Conventions

PatternExampleUse When
{project}-{domain}hunikflow-modelDomain-specific capability
{action}-{target}validate-entityAction-oriented workflow
{tool}-{purpose}proxy-guideTool/pattern guide

From-BTW Integration

When creating from a /btw suggestion:

  1. Read the suggestion's context.file to understand what code was being worked on
  2. Read the suggestion's context.feature to understand the PDCA feature context
  3. Use suggestion text as the primary description seed
  4. After creation, update the btw suggestion's promotedTo field with the new skill name

Frequently asked questions

What does the Skill Create AI skill do?

Interactive skill creation workflow for project-local skills. Triggers: skill-create, create skill

Why use Skill Create on TypingMind?

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

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

Which AI models can use Skill 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 Skill Create?

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

Is the Skill Create AI skill free?

Yes. It is published on GitHub by ww-w-ai 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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