Agent skill

nixtla-plugin-scaffolder

Generate production-ready plugin structures from PRD documents with enterprise-compliant files. Use when scaffolding new plugins, converting PRDs to plugin skeletons, or initializing plugin projects. Trigger with 'scaffold plugin', 'create plugin from PRD', or 'initialize plugin structure'.

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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/nixtla-plugin-scaffolder

SKILL.md

Nixtla Plugin Scaffolder

Rapidly scaffold production-ready Claude Code plugin structures from PRD documents, generating all required files with enterprise compliance standards.

Overview

This skill transforms PRD documents into complete plugin scaffolds:

  • Parse PRDs: Extract plugin metadata, functional requirements, and MCP tools
  • Generate structure: Create plugin directories with correct layout
  • Create templates: Generate plugin.json, SKILL.md, README.md, tests
  • Ensure compliance: Follow enterprise standards for naming, licensing, author info
  • Accelerate development: Turn 11 planned plugins into scaffolds in hours, not days

Prerequisites

Required:

  • Python 3.8+
  • PRD documents in 000-docs/000a-planned-plugins/*/02-PRD.md format
  • Write access to target plugin directory

Optional:

  • jq: For JSON validation (install via apt install jq or brew install jq)

Instructions

Step 1: Identify PRD

Locate the PRD document for the plugin to scaffold:

bash
ls 000-docs/000a-planned-plugins/*/02-PRD.md

Step 2: Run Scaffold Script

Execute the scaffolding script with the PRD path:

bash
python {baseDir}/scripts/scaffold_plugin.py \
    --prd 000-docs/000a-planned-plugins/implemented/nixtla-roi-calculator/02-PRD.md \
    --output 005-plugins/nixtla-roi-calculator

Step 3: Review Generated Files

The script creates a complete plugin structure:

005-plugins/nixtla-roi-calculator/
├── plugin.json               # Plugin metadata and configuration
├── README.md                 # Plugin documentation
├── .claude/
│   ├── skills/
│   │   └── nixtla-roi-calculator/
│   │       └── SKILL.md      # Main skill definition
│   ├── commands/             # Slash commands
│   └── agents/               # Custom agents
├── scripts/
│   └── roi_mcp_server.py     # MCP server implementation
└── tests/
    └── test_roi_calculator.py # Test suite

Step 4: Customize Generated Files

Edit the generated files to match specific requirements:

  • plugin.json: Update MCP server configurations
  • SKILL.md: Expand instructions and examples
  • README.md: Add plugin-specific documentation
  • scripts/: Implement MCP server logic

Step 5: Validate Plugin Structure

Run the plugin validator to ensure compliance:

bash
python 004-scripts/validate_skills_v2.py --verbose

Output

  • Complete plugin scaffold with all required files
  • Enterprise-compliant metadata (author, license, version)
  • MCP server template ready for implementation
  • Test framework with example tests
  • Documentation templates for README and SKILL.md

Error Handling

  1. Error: PRD file not found Solution: Verify PRD path, check 000-docs/000a-planned-plugins/ directory

  2. Error: Output directory already exists Solution: Use --force flag to overwrite or choose different output path

  3. Error: Invalid PRD format Solution: Ensure PRD has required sections (Overview, Functional Requirements, MCP Server Tools)

  4. Error: Permission denied creating directory Solution: Check write permissions on target directory

  5. Error: Missing plugin name in PRD Solution: PRD must specify plugin name in header (e.g., **Plugin:** nixtla-roi-calculator)

Examples

Example 1: Scaffold ROI Calculator Plugin

bash
python {baseDir}/scripts/scaffold_plugin.py \
    --prd 000-docs/000a-planned-plugins/implemented/nixtla-roi-calculator/02-PRD.md \
    --output 005-plugins/nixtla-roi-calculator \
    --author "Jeremy Longshore <jeremy@intentsolutions.io>" \
    --license MIT

Generated plugin.json:

json
{
  "name": "nixtla-roi-calculator",
  "version": "0.1.0",
  "description": "Enterprise ROI calculator for TimeGPT vs. build-in-house analysis",
  "author": { "name": "Jeremy Longshore", "email": "jeremy@intentsolutions.io" },
  "license": "MIT",
  "mcpServers": {
    "nixtla-roi-calculator": {
      "command": "python",
      "args": ["scripts/nixtla_roi_calculator_mcp_server.py"]
    }
  }
}

Example 2: Scaffold Multiple Plugins in Batch

bash
for prd in 000-docs/000a-planned-plugins/*/02-PRD.md; do
    plugin_name=$(basename $(dirname "$prd"))
    python {baseDir}/scripts/scaffold_plugin.py \
        --prd "$prd" \
        --output "005-plugins/$plugin_name"
done

Example 3: Scaffold with Custom Template

bash
python {baseDir}/scripts/scaffold_plugin.py \
    --prd 000-docs/000a-planned-plugins/implemented/nixtla-forecast-explainer/02-PRD.md \
    --output 005-plugins/nixtla-forecast-explainer \
    --template {baseDir}/assets/templates/plugin_custom.json

Resources

Related Skills:

  • nixtla-prd-to-code: Transform PRD into implementation tasks
  • nixtla-demo-generator: Generate Jupyter notebook demos
  • nixtla-test-generator: Create comprehensive test suites

Scripts:

  • {baseDir}/scripts/scaffold_plugin.py: Main scaffolding script
  • {baseDir}/assets/templates/plugin.json: Plugin metadata template
  • {baseDir}/assets/templates/skill_template.md: SKILL.md template

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