docs: add Gemini CLI spec and update README with gemini target
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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@@ -12,9 +12,9 @@ A Claude Code plugin marketplace featuring the **Compound Engineering Plugin**
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/plugin install compound-engineering
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```
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## OpenCode, Codex, Droid, Cursor & Pi (experimental) Install
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## OpenCode, Codex, Droid, Cursor, Pi & Gemini (experimental) Install
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This repo includes a Bun/TypeScript CLI that converts Claude Code plugins to OpenCode, Codex, Factory Droid, Cursor, and Pi.
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This repo includes a Bun/TypeScript CLI that converts Claude Code plugins to OpenCode, Codex, Factory Droid, Cursor, Pi, and Gemini CLI.
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```bash
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# convert the compound-engineering plugin into OpenCode format
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@@ -31,6 +31,9 @@ bunx @every-env/compound-plugin install compound-engineering --to cursor
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# convert to Pi format
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bunx @every-env/compound-plugin install compound-engineering --to pi
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# convert to Gemini CLI format
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bunx @every-env/compound-plugin install compound-engineering --to gemini
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```
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Local dev:
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@@ -44,6 +47,7 @@ Codex output is written to `~/.codex/prompts` and `~/.codex/skills`, with each C
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Droid output is written to `~/.factory/` with commands, droids (agents), and skills. Claude tool names are mapped to Factory equivalents (`Bash` → `Execute`, `Write` → `Create`, etc.) and namespace prefixes are stripped from commands.
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Cursor output is written to `.cursor/` with rules (`.mdc`), commands, skills, and `mcp.json`. Agents become "Agent Requested" rules (`alwaysApply: false`) so Cursor's AI activates them on demand. Works with both the Cursor IDE and Cursor CLI (`cursor-agent`) — they share the same `.cursor/` config directory.
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Pi output is written to `~/.pi/agent/` by default with prompts, skills, extensions, and `compound-engineering/mcporter.json` for MCPorter interoperability.
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Gemini output is written to `.gemini/` with skills (from agents), commands (`.toml`), and `settings.json` (MCP servers). Namespaced commands create directory structure (`workflows:plan` → `commands/workflows/plan.toml`). Skills use the identical SKILL.md standard and pass through unchanged.
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All provider targets are experimental and may change as the formats evolve.
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