new skill adobe-illustrator-scripting

Author: jhauga

docs/README.skills.md

@@ -27,6 +27,7 @@ See [CONTRIBUTING.md](../CONTRIBUTING.md#adding-skills) for guidelines on how to
 | Name | Description | Bundled Assets |
 | ---- | ----------- | -------------- |
 | [add-educational-comments](../skills/add-educational-comments/SKILL.md) | Add educational comments to the file specified, or prompt asking for file to comment if one is not provided. | None |
+| [adobe-illustrator-scripting](../skills/adobe-illustrator-scripting/SKILL.md) | Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices. | `references/object-model-quick-reference.md`<br />`scripts/batch-export-png.jsx`<br />`scripts/create-color-grid.jsx`<br />`scripts/find-replace-text.jsx` |
 | [agent-governance](../skills/agent-governance/SKILL.md) | Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when:<br />- Building AI agents that call external tools (APIs, databases, file systems)<br />- Implementing policy-based access controls for agent tool usage<br />- Adding semantic intent classification to detect dangerous prompts<br />- Creating trust scoring systems for multi-agent workflows<br />- Building audit trails for agent actions and decisions<br />- Enforcing rate limits, content filters, or tool restrictions on agents<br />- Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen) | None |
 | [agentic-eval](../skills/agentic-eval/SKILL.md) | Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when:<br />- Implementing self-critique and reflection loops<br />- Building evaluator-optimizer pipelines for quality-critical generation<br />- Creating test-driven code refinement workflows<br />- Designing rubric-based or LLM-as-judge evaluation systems<br />- Adding iterative improvement to agent outputs (code, reports, analysis)<br />- Measuring and improving agent response quality | None |
 | [ai-prompt-engineering-safety-review](../skills/ai-prompt-engineering-safety-review/SKILL.md) | Comprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness while providing detailed improvement recommendations with extensive frameworks, testing methodologies, and educational content. | None |