Multi-Harness Portability

Part of Agent Skills™ by googleadsagent.ai™

Description

Multi-Harness Portability is the engineering discipline of writing agent skills, prompts, and configurations that work across every major AI coding harness — Claude Code, Cursor, Codex, Gemini CLI, OpenCode, and beyond. The AI tooling landscape is fragmenting rapidly: teams use different editors, different CLI tools, different models. Skills that are locked to a single platform become liabilities; skills that are portable become assets that compound in value across the entire organization.

This skill encodes the portability architecture developed for Agent Skills™ by googleadsagent.ai™, where every skill in the repository is designed to function across all major harnesses. The key insight is that portability is an architectural decision, not an afterthought. It requires abstraction layers that map platform-specific capabilities (hooks, rules, instructions, system prompts) to a universal skill interface, with platform-specific adapters handling the translation.

The portability layer handles three categories of platform differences: skill loading (how the skill enters the agent's context), tool access (what tools are available and how they're invoked), and output formatting (how the agent delivers results). Each category requires its own adapter pattern, and the combination provides true write-once-run-anywhere agent skills.

Use When

• Your team uses multiple AI coding tools (Claude Code, Cursor, Codex, etc.)
• You want to maintain a single skill repository that serves all platforms
• Skills developed for one platform need to be ported to others
• You are building an open-source skill library for the community
• CI/CD pipelines need to validate skills across multiple platforms