By scristobal
Apply code review comments from .code-review.md files. Companion skill for scristobal/code-review.nvim.
A marketplace of Claude Code plugins for code review, developer tooling, and AI-powered workflows.
| Plugin | Description |
|---|---|
| codex-review | Consensus code review through deliberation between Claude and Codex. Both models independently review code, then debate findings until they agree. See evaluation results. Requires codex installed. |
| code-review | Apply code review comments from .code-review.md files.Companion skill for scristobal/code-review.nvim. |
| rust-analyzer-lsp | LSP server configuration for rust-analyzer. |
| clangd-lsp | LSP server configuration for clangd (C/C++). |
| sourcekit-lsp | LSP server configuration for sourcekit-lsp (Swift). |
| kotlin-lsp | LSP server configuration for kotlin-lsp. |
| lua-lsp | LSP server configuration for lua-language-server. |
| ty-lsp | LSP server configuration for ty (Python). |
| tsgo-lsp | LSP server configuration for tsgo (TypeScript/JavaScript). |
| gleam-lsp | LSP server configuration for gleam. |
From within a Claude Code session:
/plugin marketplace add scristobal/claude-plugins
Then browse and install plugins with /plugin > Discover.

Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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Sign in to claimConsensus code review through deliberation between Claude and Codex. Both models independently review code changes, then debate findings until they agree.
npx claudepluginhub scristobal/claude-plugins --plugin code-reviewCodex-powered code review gate. Creates a review checkpoint that triggers Codex CLI review when Claude exits.
OpenAI Codex CLI integration with MCP server and skills for plan review, code review, and codebase analysis
Code review plugin with a standalone reviewer agent and two skill strategies: disposable subagents for one-shot reviews and persistent team members for iterative reviews
Code review workflows for peer and self review
Ultra-compressed communication mode. Cuts ~75% of tokens while keeping full technical accuracy by speaking like a caveman.
Frontend design skill for UI/UX implementation