Update to Codex-based approach, Addition VSCode-based and Qwen Code #49
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Introduces Claude Code plugin manifests, slash command definitions, and Agent Skills-compatible skill files for Conductor. Adds detailed documentation for Claude Code usage and interoperability with Gemini CLI and Agent Skills. Updates README to reflect multi-platform support and installation options.
This adds Conductor as a reusable AI agent skill following the skills standard adopted by Claude CLI, OpenCode, and Codex. The skill provides: - SKILL.md with core concepts and quick start guide - Protocol references for each command (setup, newTrack, implement, status, revert) - Install script that copies assets from templates/ Benefits: - Global installation (~/.claude/skills/conductor/) - Works with multiple AI CLIs (Claude, OpenCode, Codex) - Auto-discovery by AI agents when relevant - Reuses existing templates (no duplication)
- Make description more action-oriented (create feature, write spec, etc.) - Add setup mention for unconfigured projects - Installer now asks user where to install (OpenCode/Claude CLI/Both)
- Remove skill/references/*.md (790 lines of duplication) - SKILL.md now points directly to commands/conductor/*.toml - install.sh creates symlinks to repo's commands/ and templates/ - Update README with interactive installer options This ensures zero duplication - the skill references the original TOML files and templates, and updates automatically with git pull.
The original TOML protocols reference Gemini CLI commands like /conductor:implement. Added rule to instruct the agent to use agnostic language instead (e.g., 'ask me to implement').
Add manifest-driven skill tooling and template sync
- Add Universal File Resolution Protocol to GEMINI.md - Update setup.toml to create conductor/index.md with project context links - Update setup.toml to create track index.md files with track context links - Update newTrack.toml to use Universal File Resolution Protocol - Update newTrack.toml to create track index.md files - Update implement.toml to use Universal File Resolution Protocol - Update status.toml to use Universal File Resolution Protocol - Update revert.toml to use Universal File Resolution Protocol - Replace hardcoded file paths with abstract labels (Product Definition, Tech Stack, etc.) - Implement tracks directory abstraction for flexible track organization Co-authored-by: edithatogo <[email protected]>
feat: adopt Universal File Resolution Protocol from upstream
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For what it's worth, I'm using Conductor with VSCode, Google Antigravity, Codex and Qwen Code. Definitely slightly different experiences, and more powerful models handle it better- Codex has the closest experience, followed by Google Antigravity. Qwen Code is problematic. Haven't actually tested in either Copilot GUI or CLI, nor in Claude Code.