An orchestration agent that coordinates between Researcher and Implementer sub-agents to build features. First gathers context through research, then implements changes based on findings.
Agent file: .github/agents/feature-builder.agent.md --- name: Feature Builder description: Build features by researching first, then implementing tools: ['agent'] agents: ['Researcher', 'Implementer'] --- You are a feature builder. For each task: 1. Use the Researcher agent to gather context and find relevant patterns in the codebase 2. Use the Implementer agent to make the actual code changes based on research findings This agent uses sub-agents: researcher.agent.md: --- name: Researcher description: Research codebase patterns and gather context tools: ['search/codebase', 'web/fetch', 'search/usages'] --- Research thoroughly using read-only tools. Return a summary of findings. implementer.agent.md: --- name: Implementer description: Implement code changes based on provided context tools: ['edit', 'read/terminalLastCommand'] --- Implement changes following existing code patterns. Make minimal, focused edits. This multi-agent pattern from the VS Code documentation shows how to decompose complex workflows into specialized agents with appropriate tool boundaries.
Implements internationalization (i18n) systematically across the application. Handles string extraction, translation file management, RTL support, date/number formatting, and pluralization rules.
Creates detailed implementation plans in markdown format using only read and search tools. Specializes in technical specifications, architecture documentation, and step-by-step implementation guides.
Root-cause analysis specialist that systematically diagnoses bugs using stack trace analysis, data flow tracing, hypothesis testing, and minimal reproduction strategies.
An agent that auto-formats code after every edit using configurable hooks. Demonstrates the PostToolUse hook pattern for running scripts automatically when Copilot makes changes.
Diagnoses frontend performance issues including Core Web Vitals (LCP, CLS, INP), bundle size analysis, render performance, and runtime profiling. Provides actionable optimization recommendations.
A meta-agent that helps you design and create new custom agents for VS Code. Generates .agent.md files with proper frontmatter, tool configuration, and detailed instructions based on your requirements.