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Skill Forge Convert

  • 31 installs
  • 84 repo stars
  • Updated April 10, 2026
  • agricidaniel/skill-forge

skill-forge-convert is a Claude Code sub-skill that converts skills to run on OpenAI Codex, Google Gemini CLI, Antigravity, and Cursor.

About

skill-forge-convert is a Claude Code sub-skill that ports skills to OpenAI Codex, Google Gemini CLI, Google Antigravity, and Cursor. It analyzes platform-specific features, generates target files like openai.yaml, AGENTS.md, GEMINI.md, and .mdc rules, adapts frontmatter, converts MCP config, and produces compatibility reports. A developer uses it to make one Claude Code skill run across multiple agent platforms.

  • Converts Claude Code skills to Codex, Gemini CLI, Antigravity, and Cursor
  • Generates target files (openai.yaml, AGENTS.md, GEMINI.md, .mdc rules)
  • Produces per-platform compatibility reports and a multi-platform install script

Skill Forge Convert by the numbers

  • 31 all-time installs (skills.sh)
  • Ranked #407 of 782 Skill Development skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

skill-forge-convert capabilities & compatibility

Capabilities
skill conversion · cross platform porting · mcp conversion · compatibility analysis
Use cases
orchestration
Pricing
Free
From the docs

What skill-forge-convert says it does

Convert Claude Code skills to work on OpenAI Codex, Google Gemini CLI, Google
SKILL.md
generates target files (openai.yaml, AGENTS.md, GEMINI.md, .mdc rules)
SKILL.md
**Claude-only fields**: Will be stripped with warnings
SKILL.md
npx skills add https://github.com/agricidaniel/skill-forge --skill skill-forge-convert

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Listed on Skillselion
Installs31
repo stars84
Last updatedApril 10, 2026
Repositoryagricidaniel/skill-forge

What it does

Convert a Claude Code skill to run on Codex, Gemini CLI, Antigravity, and Cursor with compatibility reports.

Who is it for?

Porting a Claude Code skill to Codex, Gemini, Antigravity, or Cursor

Skip if: Building or evaluating a skill on Claude Code alone

When should I use this skill?

user says convert skill, port skill, multi-platform, skill for codex, or skill for cursor

What you get

Per-platform skill files with compatibility scores and a multi-platform install script.

  • openai.yaml
  • AGENTS.md
  • GEMINI.md

By the numbers

  • Targets 4 platforms (Codex, Gemini, Antigravity, Cursor)
  • Generates a per-platform compatibility score report

Files

SKILL.mdMarkdownGitHub ↗

Skill Conversion — Multi-Platform

Convert Claude Code skills to work on OpenAI Codex, Google Gemini CLI, Google Antigravity, and Cursor while maintaining quality and following each platform's best practices.

Process

Step 1: Read Source Skill

1. Read the source SKILL.md and parse frontmatter 2. Detect skill complexity tier (1-4) 3. Inventory all files: scripts/, references/, agents/, sub-skills 4. Identify MCP config (.mcp.json) if present

Step 2: Analyze Platform Compatibility

Run dry-run analysis first:

python scripts/convert_skill.py <path> --dry-run --target all

Review the compatibility report:

  • Portable fields: Transfer directly (name, description, license)
  • Adaptable fields: Need platform-specific handling
  • Claude-only fields: Will be stripped with warnings

Step 3: Convert to Target Platforms

Run the conversion:

python scripts/convert_skill.py <path> --target codex,gemini,antigravity,cursor --output dist/

For MCP config conversion:

python scripts/convert_skill.py <path> --target all --output dist/ --include-mcp

Step 4: Handle Claude-Only Features

Features that need manual adaptation per platform:

Claude FeatureCodexGemini/AntigravityCursor
allowed-toolsSupportedRemove; all tools availableRemove; no equivalent
context: forkNo equivalentNo equivalentNo equivalent
hooks1 event (notify)Partial (CLI)6 events (beta)
model selectionNo equivalentNo equivalentNo equivalent
Task delegationBreak into separate skillsBreak into separate skillsBackground Agents (Ultra plan)
/slash commands$mention syntaxDescription-based activationDescription-based + @rule
Sub-skill routingSeparate skills with $mentionSeparate skills, LLM-routedSeparate skills, LLM-routed

Step 5: Validate Converted Skills

Run validation on each generated output:

python scripts/validate_skill.py dist/codex/<skill-name>/
python scripts/validate_skill.py dist/gemini/<skill-name>/
python scripts/validate_skill.py dist/antigravity/<skill-name>/
python scripts/validate_skill.py dist/cursor/<skill-name>/

Fix any critical or high-priority issues before proceeding.

Step 6: Generate Deployment Report

Present the user with a summary:

## Conversion Report: {skill-name}

| Platform | Score | Files | Warnings | Manual Steps |
|----------|-------|-------|----------|-------------|
| Codex | 92% | 4 | 2 | 1 |
| Gemini | 88% | 3 | 3 | 1 |
| Antigravity | 88% | 3 | 3 | 1 |
| Cursor | 88% | 3 | 3 | 1 |

### Generated Files
[list per platform]

### Warnings
[list per platform]

### Manual Steps Required
[list per platform]

Step 7: Generate Multi-Platform Install Script

When converting for all platforms (--target all), the script auto-generates install-multiplatform.sh that:

  • Auto-detects the current agent platform
  • Installs to the correct skill path
  • Supports --platform flag for explicit selection

Platform Quick Reference

PlatformSkill PathInstruction FileConfig Format
Claude Code.claude/skills/CLAUDE.mdJSON (.mcp.json)
OpenAI Codex.agents/skills/AGENTS.mdTOML (config.toml)
Gemini CLI.gemini/skills/GEMINI.mdJSON (settings.json)
Antigravity.agent/skills/GEMINI.mdJSON (mcp_config.json)
Cursor.cursor/skills/.cursor/rules/*.mdcJSON (mcp.json)

For full platform specs, load references/platforms.md.

Tier Conversion Guidelines

  • Tier 1 (single SKILL.md): Converts cleanly. Auto-convert recommended.
  • Tier 2 (skill + scripts): Converts well. Verify script paths.
  • Tier 3 (multi-skill): Partial. Each sub-skill converts independently. Routing needs manual work.
  • Tier 4 (ecosystem): Manual review required. Subagent delegation needs platform adaptation.

Related skills

FAQ

Which platforms does skill-forge-convert target?

OpenAI Codex, Google Gemini CLI, Google Antigravity, and Cursor.

What happens to Claude-only fields?

Portable fields transfer, adaptable fields are handled per platform, and Claude-only fields are stripped with warnings.

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