Which Agent Skills Support Multi-Platform AI Coding Assistants?

Every skill in the VoltAgent/awesome-agent-skills repository supports multi-platform AI coding assistants because they follow the provider-agnostic Agent Skills specification.

The Awesome Agent Skills repository curates a unified catalog of skills that work across any AI coding assistant implementing the official Agent Skills specification. Rather than being locked to a specific LLM provider, each skill is defined by a skill.yaml or SKILL.md manifest—a plain-text contract that any compatible agent can parse and execute.

How the Agent Skills Specification Enables Multi-Platform Support

The architecture behind these skills is intentionally decoupled from any single AI platform. Here's how the components work together:

Skill Manifest: The Provider-Agnostic Contract

The skill.yaml or SKILL.md file declares a skill's name, description, input schema, and URLs to code artifacts. Because this manifest is plain-text and provider-agnostic, any agent capable of parsing it can load the skill—regardless of whether it runs on Claude, GPT-4, Gemini, or another model.

Standardized Directory Structure

The specification enforces a consistent layout with directories like /src, /templates, and /docs. This guaranteed file system layout means agents always know where to find executables, prompts, and assets—no matter which skill they're loading.

Runtime Execution Model

Skills expose a runtime entry point—such as a Node.js script, Python module, or Docker image. The agent invokes this entry point with user input outside of the LLM itself. Since the LLM only forwards the request, the same runtime works across many different agents.

Versioning and Compatibility Tags

Skills can optionally list compatible agents in their manifest. This allows agents to auto-filter skills known to work with their runtime, while still permitting fallback to generic execution for maximum compatibility.

Multi-Platform AI Coding Assistants Supported

The README.md at line 57 explicitly lists the broad compatibility of this skill catalog:

• Claude Code
• Codex (OpenAI)
• Antigravity
• Gemini CLI
• Cursor
• GitHub Copilot
• OpenCode
• Windsurf

And many others. Any assistant implementing the Agent Skills specification can consume these skills.

Examples of Cross-Platform Skills

Skill	Repository	Notable Platform Support
Skill Optimizer	hqhq1025/skill-optimizer	Claude Code, Codex, any Agent-Skills-compatible agent (README.md line 1351)
Anthropic docx	officialskills.sh/anthropics/skills/docx	Claude Code, Codex, Gemini CLI, Cursor, etc.
Google Labs stitch-loop	officialskills.sh/google-labs-code/skills/stitch-loop	Claude Code, Gemini CLI, Cursor, and more (README.md line 263)
Composio Connector	officialskills.sh/composiohq/skills/composio	Any Agent-Skills-compatible assistant
VoltAgent create-voltagent	officialskills.sh/voltagent/skills/create-voltagent	VoltAgent framework plus generic agents

Virtually every skill in the catalog follows the same manifest format, making them multi-platform by default unless explicitly marked otherwise.

How Different Agents Invoke the Same Skill

Claude Code (JavaScript-Based)

// In a Claude Code skill runner
import { loadSkill } from '@claude/skill-runtime';

// Load the manifest via HTTP GET
const skill = await loadSkill('https://github.com/example/awesome-skill/raw/main/skill.yaml');

// Execute with user input
const result = await skill.run({ query: 'Generate a React component' });

console.log(result);

Claude Code parses the manifest, installs declared dependencies, and runs the entry point defined in the skill.

Codex CLI (Python-Based)

# Using the Codex CLI to invoke a skill

codex skill run \
  --manifest https://github.com/example/awesome-skill/raw/main/skill.yaml \
  --input '{"query":"Create a Flask API endpoint"}'

The Codex CLI reads the same skill.yaml, resolves its runtime, and executes it—returning identical output.

Both agents achieve the same result because the skill's contract lives outside the LLM. Only the prompt-generation layer differs between platforms.

Key Files Enabling Multi-Platform Compatibility

File	Purpose
README.md	Master catalog listing every skill and declaring broad compatibility across agents (README.md line 57)
skill.yaml / SKILL.md	Specification-compliant manifest in each skill repo enabling any agent to load the skill
opencode.json	Internal metadata showing this is a collection of skills rather than executable code
.github/workflows/*	CI pipelines that lint skill.yaml files, ensuring compliance with the Agent Skills spec for cross-agent reliability

Summary

• All skills in the Awesome Agent Skills repository support multi-platform AI coding assistants by design.
• The Agent Skills specification defines a provider-agnostic manifest format (skill.yaml/SKILL.md) that any compliant agent can parse.
• Standardized directory structures and runtime execution models ensure skills work consistently across Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, and others.
• The same skill can be invoked through different CLI commands or SDKs, producing identical results because the contract lives outside the LLM layer.

Frequently Asked Questions

Can I use these skills with any AI coding assistant?

Yes, provided the assistant implements the Agent Skills specification. The repository explicitly lists compatibility with Claude Code, Codex, Antigravity, Gemini CLI, Cursor, GitHub Copilot, OpenCode, Windsurf, and more. Each skill's skill.yaml manifest is a plain-text contract that any compliant agent can load.

What makes a skill "multi-platform" rather than tied to one assistant?

The separation of concerns in the architecture. The skill manifest declares what the skill does and how to invoke it, but not which LLM generates the prompts. The runtime entry point executes outside the LLM entirely. This means Claude Code and Codex CLI can both invoke the same Python script or Docker container with identical inputs.

How do I know if a specific skill will work with my preferred assistant?

Check the compatibility tags in the skill's skill.yaml manifest, which optionally list known-working agents. Also consult the master catalog in the repository's README.md, where some skills have explicit platform annotations. When in doubt, skills following the core specification without platform-specific extensions will generally work across all compliant agents.

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
  }
}