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Opinionated, repo-local configuration for GitHub Copilot (Chat + Agent mode): instruction hierarchy, reusable prompt files, custom agent profiles, and MCP server config.

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GitHub Copilot SuperPowers

Opinionated, repo-local configuration for GitHub Copilot (Chat + Agent mode): instruction hierarchy, reusable prompt files, custom agent profiles, and MCP server config.

GitHub Copilot SuperPowers

QuickstartWhat’s insideMCP serversRepo layout

Note

This repository is intentionally small and highly opinionated. It’s designed to be copied into other repos and adapted.

Why this exists

GitHub Copilot gets significantly more useful when you make its “defaults” explicit: what quality bars to follow, when to stop and investigate, and how to keep edits scoped. This repo packages those defaults in a form that’s easy to version, review, and reuse.

What’s inside

  • Instruction system under .github/instructions/ (rules, workflow, quality gates, execution protocol)
  • Reusable prompts under .github/prompts/ (ex: generate a README, generate AGENTS.md, repo story time, create release notes)
  • Custom agents under .github/agents/ (ex: Critical Thinking, Mentor, Janitor)
  • Agent "skills" playbooks under .github/skills/ (investigation mode, root-cause tracing, verification gates, uncertainty verification, minimalist development, task direction approval)
  • VS Code workspace settings under .vscode/settings.json (enables Copilot agent features, advanced reasoning, MCP integration)
  • MCP configuration under .vscode/mcp.json (Sequential Thinking, Context7, Memory, Serena)

Quickstart

Use this repo as a template

  1. Copy these folders into your target repository:

    • .github/
    • .vscode/
  2. Review and tailor the instruction files:

    • Start with .github/copilot-instructions.md
    • Then adjust rules in .github/instructions/ to match your team’s tolerance for “guard rails”.

Important

The instruction set in .github/instructions/ is designed to reduce flakiness and “agent drift”, but it can also feel strict. If you don’t want delegation-heavy workflows or you’re not using subagents, loosen or remove those constraints.

Use it in VS Code

  • Open the repository (or your repo that copied these files) in VS Code.
  • Ensure GitHub Copilot is enabled.
  • Keep .vscode/settings.json checked in so the workspace defaults travel with the repo.

Agent Skills

Agent skills are optional playbooks that can be loaded on-demand to handle specific scenarios. Load a skill when you need specialized handling for complex tasks.

Located in .github/skills/, this repo includes 6 ready-to-use skills:

Skill Purpose When to use
investigation-mode Pause implementation after 2+ consecutive failures and switch to root-cause analysis before resuming Repeated test failures or validation errors
root-cause-tracing Trace bugs backward through call stacks to find the original trigger, not just the symptom Deep debugging of complex issues
task-direction-approval Explain failure root cause, present 2-3 solution options with trade-offs, and wait for explicit user choice Before switching tech stacks or architectures
uncertainty-verification Verify exact commands, configuration keys, API details, and version-specific behavior via official docs—no assumptions When providing version-dependent or time-sensitive guidance
verification-before-completion Run verification commands and confirm output before making any completion claims Before marking tasks as complete or fixed
minimalist-surgical-development Prioritize the smallest diff first, prefer standard libraries, avoid unsolicited refactoring Code changes and refactoring work

Custom Agents

Custom agents define specialized "modes" for focused collaboration. Select an agent profile when you want tailored behavior for your specific task.

Located in .github/agents/, this repo includes 4 custom agent profiles:

Agent Role Best for
Critical Thinking Questions assumptions and encourages exploration of alternative approaches and edge cases Architecture reviews, design decisions, risk analysis
Mentor Provides Socratic guidance through critical questioning without providing direct solutions Learning, skill development, understanding complex systems
Janitor Focuses on cleanup, simplification, and technical debt remediation Code cleanup, refactoring, removing dead code, performance optimization
Tech Debt Remediation Plan Generates comprehensive technical debt remediation plans with metrics and actionable steps Technical debt analysis, code quality assessment, planning refactoring work

MCP Servers

This repo includes a ready-to-use MCP configuration at .vscode/mcp.json.

Model Context Protocol (MCP) servers extend Copilot's capabilities with specialized tools and information sources.

Configured servers:

Server Purpose Launch method
Sequential Thinking Structured multi-step reasoning with built-in revision support for complex problem-solving npx
Context7 Up-to-date library and framework documentation lookup—always retrieves current version docs npx
Memory Lightweight knowledge graph for storing discovered patterns, architectural insights, and recurring solutions npx
Serena Project-aware code intelligence: symbol operations, file search, refactoring, and codebase analysis uvx (Python uv tooling)

Prerequisites & Troubleshooting

  • Node.js: Required for npx-based servers (Sequential Thinking, Context7, Memory)
  • Python uv tooling: Required for Serena MCP server via uvx
  • No MCP servers starting? Verify Node.js is installed (npm --version) and uv is available (uv --version)

VS Code Settings

Located in .vscode/settings.json, the workspace includes optimized Copilot agent configuration.

Agent & Skill Activation

Setting Purpose
chat.agent.maxRequests Limits agent requests per session (set to 125)
chat.useAgentSkills Enables loading skills from .github/skills/ for specialized task handling
chat.useAgentsMdFile Loads custom agent profiles from .github/agents/*.agent.md
chat.useNestedAgentsMdFiles Supports multi-level agent profile organization
chat.customAgentInSubagent.enabled Allows subagents to use custom agent profiles for complex delegation

Advanced Reasoning & Code Quality

Setting Purpose
github.copilot.chat.responsesApiReasoningEffort Set to "high" for deeper problem analysis and fewer mistakes
github.copilot.chat.responsesApiReasoningSummary Set to "detailed" for thorough thinking explanations
inlineChat.enableV2 Enables inline chat suggestions during code editing
github.copilot.nextEditSuggestions.enabled Provides contextual edit suggestions based on chat history

Context & Search

Setting Purpose
github.copilot.chat.newWorkspace.useContext7 Automatically enables Context7 MCP for docs lookup in new workspaces
github.copilot.chat.scopeSelection Limits context to the current selection for focused prompts
github.copilot.chat.codesearch.enabled Enables semantic code search in chat context
github.copilot.chat.alternateGptPrompt.enabled Provides alternative prompt rewriting suggestions

MCP & CLI Integration

Setting Purpose
github.copilot.chat.useResponsesApi Enables reasoning and extended analysis capabilities
github.copilot.chat.cli.customAgents.enabled Allows custom agents to be used from the CLI
github.copilot.chat.cli.mcp.enabled Enables MCP servers in CLI mode for agent workflows
github.copilot.chat.githubMcpServer.enabled Activates GitHub MCP for repo operations (issues, PRs, code search)
github.copilot.chat.githubMcpServer.readonly Restricts GitHub MCP to read-only mode (set to true for safety)

Analytics

Setting Purpose
editor.aiStats.enabled Tracks AI-assisted code writing metrics for insights

Repo layout

.
├─ .github/
│  ├─ copilot-instructions.md
│  ├─ agents/
│  ├─ instructions/
│  ├─ prompts/
│  └─ skills/
└─ .vscode/
   ├─ mcp.json
   └─ settings.json

Notes

Caution

GitHub-flavored admonitions (like the blocks in this README) don’t render everywhere and are intentionally limited in where they can be nested. If you copy/paste sections into places like <details> or nested lists, you may need to rewrite them as plain blockquotes.

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Opinionated, repo-local configuration for GitHub Copilot (Chat + Agent mode): instruction hierarchy, reusable prompt files, custom agent profiles, and MCP server config.

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