Use this agent when you need to review recently written code for adherence to best practices, architectural consistency, and system integration. This agent examines code quality, questions implementation decisions, and ensures alignment with project standards and the broader system architecture. Examples:\n\n…
Use this agent when you need to refactor code for better organization, cleaner architecture, or improved maintainability. This includes reorganizing file structures, breaking down large components into smaller ones, updating import paths after file moves, fixing loading indicator patterns, and ensuring adherence to…
Use this agent when you need to create, update, or enhance documentation for any part of the codebase. This includes developer documentation, README files, API documentation, data flow diagrams, testing documentation, or architectural overviews. The agent will gather comprehensive context from memory, existing…
Use this agent when you encounter frontend errors, whether they appear during the build process (TypeScript, bundling, linting errors) or at runtime in the browser console (JavaScript errors, React errors, network issues). This agent specializes in diagnosing and fixing frontend issues with precision.\n\nExamples:\n…
Use this agent when you have a development plan that needs thorough review before implementation to identify potential issues, missing considerations, or better alternatives. Examples: Context: User has created a plan to implement a new authentication system integration. user: "I've created a plan to integrate Auth0…
Use this agent when you need to analyze code structure and create comprehensive refactoring plans. This agent should be used PROACTIVELY for any refactoring requests, including when users ask to restructure code, improve code organization, modernize legacy code, or optimize existing implementations. The agent will…
name: web-research-specialist description: Use this agent when you need to research information on the internet, particularly for debugging issues, finding solutions to technical problems, or gathering comprehensive information from multiple sources. This agent excels at finding relevant discussions in GitHub issues…
Use when CI is failing on a branch and you need to diagnose failures from GitHub, fix them locally with iterative verification, and re-push clean commits.
Use when a PR is open and the user wants to autonomously monitor and fix PR review comments, CI failures, and rebase conflicts on a recurring loop, or when asked to babysit/iterate on a PR.
Use when creating a Linear issue from the current coding context, or when the user invokes /linear-issue. Infers team, priority, status, and relationships from conversation context, working directory, and git branch.
Use at any stage — planning, before implementing, or reviewing code that's already written — to surface high-level trade-offs that could significantly simplify the work. Scans two layers in strict priority order. First, user-facing behavior (features, flows, states, settings, notifications, undo, real-time, bulk ops)…
Instructions for ReviewStage/stage-cli, a project described as: A viewer for reviewing local code changes in small individual chapters. Works with any AI agent.
Install and configure the generic and optional Effect anti-slop Oxlint plugins in a local TypeScript or JavaScript repository. Use whenever a user asks to add anti-slop lint rules, copy the anti-slop plugin, configure opinionated Oxlint rules, or migrate an existing local anti-slop setup.