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/skill-designer

@953d410

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.

Use this Skill: https://skilld.dev/gh/tradermonty/claude-trading-skills/skill-designer

This session only. Nothing lands on disk.

SKILL.md

≈68 tokens always: the name and description. ≈642 when used: this file. ≈1.7k more on demand in 3 files.

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:

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:

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)

Source: SKILL.md on GitHub

No alerts17d5 checks · Risk SAFE
  • Gen Agent Trust Hub17d

    The skill facilitates indirect prompt injection by interpolating unsanitized user-provided JSON data into instructions for a downstream AI agent. This could allow a malicious idea specification to manipulate the behavior of the agent that consumes the generated prompt.

  • Socket17d

    No alerts

  • Snyk17d

    Risk: LOW · No issues

  • Runlayer7mo

    7 files scanned · No issues

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at 953d410. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 18 hours ago.

Activeupdated 6 months ago

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