Skill designer
Ai agent claude trading skills for disiplined, repeatable trading workflows with a modern typescript platform
npx -y skills add BaggaT236/AI-Trading-Skills --skill skill-designerAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
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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.
SKILL.md
2.8 KB, 592 tokens by cl100k_base, as published. Nobody here has run it
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 namedescription: What the skill doescategory: 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:
python3 skills/skill-designer/scripts/build_design_prompt.py \
--idea-json /tmp/idea.json \
--skill-name "my-new-skill" \
--project-root .
The script:
- Loads the idea JSON
- Reads all three reference files (structure guide, quality checklist, template)
- Lists existing skills (up to 20) to prevent duplication
- Outputs a complete prompt to stdout
Step 3: Feed Prompt to Claude CLI
The calling pipeline pipes the prompt into claude -p:
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.mdexists 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 conventionsreferences/quality-checklist.md-- Dual-axis reviewer 5-category checklist (100 points)references/skill-template.md-- SKILL.md template with YAML frontmatter and standard sectionsscripts/build_design_prompt.py-- Prompt builder script (CLI interface)
What ships with it: 6 files
13.0 KB alongside SKILL.md, 3 of them executable
references/
- quality-checklist.md2.3 KB
- skill-structure-guide.md2.8 KB
- skill-template.md1.3 KB
scripts/
- build_design_prompt.pyruns4.5 KB
- tests/conftest.pyruns194 B
- tests/test_build_design_prompt.pyruns1.8 KB
Gives 0 of the 12 instructions most design frontend skills give in 592 tokens
Counted across 1,169 of the 1,878 authors here whose files we hold, read 2026-08-07
- Use CSS variables for color consistencyin 72 of 1169, across 23 files
- Commit to one bold aesthetic direction before codingin 72 of 1169, across 27 files
- Match implementation complexity to the aesthetic visionin 70 of 1169, across 20 files
- Add atmospheric background effects and texturesin 57 of 1169, across 9 files
- Use unexpected spatial compositions and layoutsin 56 of 1169, across 8 files
- Implement real working codein 55 of 1169, across 7 files
- Vary themes and aesthetics across different designsin 48 of 1169, across 7 files
- Launch chromium in headless modein 47 of 1169, across 4 files
- Close the browser when donein 47 of 1169, across 4 files
- Run provided scripts with help flag firstin 47 of 1169, across 4 files
- Wait for network idle statein 47 of 1169, across 4 files
- Use descriptive selectors for elementsin 47 of 1169, across 4 files
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.