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Skill Designer

CommunityPopular
tradermonty
skill-designer

Design new Claude skills from structured idea specifications. Use when the skill auto-generation pipeline needs to produce a Claude CLI prompt that creates a complete skill directory (SKILL.md, references, scripts, tests) following repository conventions.

Overview

Publishertradermonty
Repositoryclaude-trading-skills
Skill nameskill-designer
Stars
2.9K
Forks
663
Bundled files
7
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.

  • 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 tradermonty on GitHub. Read the source before you install it.

Installation

Install the Skill Designer 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/tradermonty/claude-trading-skills/tree/main/skills/skill-designer
  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/tradermonty/claude-trading-skills.git /tmp/claude-trading-skills
mkdir -p .claude/skills
cp -r /tmp/claude-trading-skills/skills/skill-designer .claude/skills/skill-designer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Designer 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 Designer 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 Designer 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 Designer

Overview

Generate a comprehensive Claude CLI prompt from a structured skill idea specification. The prompt instructs Claude to create a complete skill directory following repository conventions: SKILL.md with YAML frontmatter, reference documents, helper scripts, and test scaffolding.

When to Use

  • The skill auto-generation pipeline selects an idea from the backlog and needs a design prompt for claude -p
  • A developer wants to bootstrap a new skill from a JSON idea specification
  • Quality review of generated skills requires awareness of the scoring rubric

Prerequisites

  • Python 3.9+
  • No external API keys required
  • Reference files must exist under references/

Workflow

Step 1: Prepare Idea Specification

Accept a JSON file (--idea-json) containing:

  • title: Human-readable idea name
  • description: What the skill does
  • category: Skill category (e.g., trading-analysis, developer-tooling)

Accept a normalized skill name (--skill-name) that will be used as the directory name and YAML frontmatter name: field.

Step 2: Build Design Prompt

Run the prompt builder:

bash
python3 skills/skill-designer/scripts/build_design_prompt.py \
  --idea-json /tmp/idea.json \
  --skill-name "my-new-skill" \
  --project-root .

The script:

  1. Loads the idea JSON
  2. Reads all three reference files (structure guide, quality checklist, template)
  3. Lists existing skills (up to 20) to prevent duplication
  4. Outputs a complete prompt to stdout

Step 3: Feed Prompt to Claude CLI

The calling pipeline pipes the prompt into claude -p:

bash
python3 skills/skill-designer/scripts/build_design_prompt.py \
  --idea-json /tmp/idea.json \
  --skill-name "my-new-skill" \
  --project-root . \
| claude -p --allowedTools Read,Edit,Write,Glob,Grep

Step 4: Validate Output

After Claude creates the skill, verify:

  • skills/<skill-name>/SKILL.md exists with correct frontmatter
  • Directory structure follows conventions
  • Score with dual-axis-skill-reviewer meets threshold

Output Format

The script outputs a plain-text prompt to stdout. Exit code 0 on success, 1 if required reference files are missing.

Resources

  • references/skill-structure-guide.md -- Directory structure, SKILL.md format, naming conventions
  • references/quality-checklist.md -- Dual-axis reviewer 5-category checklist (100 points)
  • references/skill-template.md -- SKILL.md template with YAML frontmatter and standard sections
  • scripts/build_design_prompt.py -- Prompt builder script (CLI interface)

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 Skill Designer AI skill do?

Design new Claude skills from structured idea specifications. Use when the skill auto-generation pipeline needs to produce a Claude CLI prompt that creates a complete skill directory (SKILL.md, references, scripts, tests) following repository conventions.

Why use Skill Designer on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tradermonty/claude-trading-skills/tree/main/skills/skill-designer. 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 Skill Designer?

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 Designer?

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

Is the Skill Designer AI skill free?

Yes. It is published on GitHub by tradermonty 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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