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Turn structured skill ideas into Claude CLI prompts for generating complete skill directories.
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.
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How clearly the skill guides your agent, how complete its workflow is, and how you can check the outcome.
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Original instructions from the publisher’s SKILL.md
# 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)