customer-card-render

Customer Card Render Skill

Converts canonical Design Thinking markdown artifacts into PowerPoint skill content.yaml slide definitions and builds the final deck through the shared PowerPoint build pipeline.

Overview

This skill is a sibling to the experimental powerpoint skill. It handles the Design Thinking-specific mapping layer: extracting sections from canonical markdown artifacts and filling template-driven content.yaml files. The PowerPoint skill then owns layout rendering, theming, export, and validation.

Keeping these concerns separate means:

• Customer-card mapping logic stays independent from general PowerPoint capabilities.
• The skill can be included in packages independently.
• Layout primitives, Invoke-PptxPipeline.ps1, theming, and validation behavior are not reimplemented here.

For full PowerPoint pipeline documentation, activate the powerpoint skill by name. When it does not resolve, warn the user that the pipeline documentation and build behavior are unavailable and stop rather than reimplementing them here.

Prerequisites

• Python 3.11+

• uv package manager — install with one of:

  # macOS / Linux
  curl -LsSf https://astral.sh/uv/install.sh | sh
  
  # Windows
  powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
  
  # Via pip (fallback)
  pip install uv
  

• The experimental powerpoint skill, activated by name, for the Invoke-PptxPipeline.ps1 build step. When it does not resolve, warn the user that the build step is unavailable and stop.

Directory Structure

.github/skills/experimental/customer-card-render/
├── SKILL.md
├── pyproject.toml
├── references/
│   └── mapping-spec.md
├── scripts/
│   └── generate_cards.py
├── templates/
│   ├── global-style.yaml
│   ├── persona.content.yaml
│   ├── problem.content.yaml
│   ├── scenario.content.yaml
│   ├── use-case-slide1.content.yaml
│   ├── use-case-slide2.content.yaml
│   ├── use-case-slide3.content.yaml
│   └── vision.content.yaml
└── tests/
    ├── fuzz_harness.py
    └── test_generate_cards.py