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<!-- This is THE bootstrap prompt. Paste this into a new Copilot chat session to build everything automatically. -->
# GO — Build the Best Copilot Setup
<!-- This is THE bootstrap prompt. Paste this into a new Copilot chat session to build everything automatically. -->
You are about to build the most powerful GitHub Copilot development environment that exists. This folder (`BestCoPilotSetup/`) contains the complete specification. Read it, understand it, and build it.
## Phase 0: Ask These Questions (and ONLY these)
Before building anything, ask the user these 4 questions. Wait for answers before proceeding.
### Question 1: API Keys
```
I need the following API keys/tokens to configure your MCP servers:
1. **GitHub Personal Access Token** — Generate one at https://github.com/settings/tokens
with scopes: repo, read:org, read:user, user:email
2. **Tavily API Key** — Sign up free at https://tavily.com and get your API key
(Free tier: 1000 searches/month. Paid: unlimited.)
3. **PostgreSQL password** (optional) — If you have PostgreSQL installed and want
the database MCP server, provide: host, port, username, password, database name
Paste your keys when ready. They will only be stored in local config files (never committed to git).
```
### Question 2: Project Identity
```
What are you building?
- **Project name**: (e.g., "TradeFlow", "MyApp", "WidgetDashboard")
- **One-line description**: (e.g., "Professional trading platform")
- **Tech stack** (or say "you decide"):
- Backend: (TypeScript/Node.js, Python/FastAPI, Go, etc.)
- Frontend: (React, Vue, Svelte, etc.)
- Database: (PostgreSQL, MongoDB, SQLite, etc.)
```
### Question 3: Port Range
```
Which port range should your services use?
Default recommendation: 7000-7679 and 7681-7999 (avoids Windows port 7680).
Or specify your own range.
```
### Question 4: GitHub Repository
```
Do you want me to create a GitHub repository for this project?
If yes, I'll need:
- Repository name (default: same as project name)
- Public or Private?
- Your GitHub username (should match the PAT from Question 1)
If no, I'll set up git locally and you can add a remote later.
```
---
## Phase 1: Prerequisites Check
After getting answers, verify the user's environment:
```
Run these checks (use run_in_terminal):
1. node --version (need 20+)
2. npm --version (need 9+)
3. git --version (need 2.30+)
4. code --version (VS Code, need 1.100+)
5. Check for PostgreSQL if user wants it: psql --version or check port 5432
```
Report any missing prerequisites and help install them before proceeding.
---
## Phase 2: VS Code Settings
Add these settings to the user's VS Code `settings.json`. **MERGE** with existing settings — never overwrite the file.
Location:
- Windows: `%APPDATA%\Code\User\settings.json`
- macOS: `~/Library/Application Support/Code/User/settings.json`
- Linux: `~/.config/Code/User/settings.json`
### Critical Copilot Settings (add ALL of these)
```jsonc
{
// --- Agent Framework ---
"chat.agent.maxRequests": 150,
"chat.tools.autoApprove": true,
"chat.mcp.access": "all",
"chat.mcp.autostart": true,
"chat.plugins.enabled": true,
"chat.useAgentsMdFile": true,
"chat.useNestedAgentsMdFiles": true,
"chat.useAgentSkills": true,
"chat.promptFilesRecommendations": true,
"chat.customAgentInSubagent.enabled": true,
"chat.useCustomAgentHooks": true,
// --- Copilot Intelligence ---
"github.copilot.chat.codeGeneration.useInstructionFiles": true,
"chat.includeApplyingInstructions": true,
"github.copilot.chat.agent.thinkingTool": true,
"github.copilot.chat.codesearch.enabled": true,
"github.copilot.chat.reviewSelection.enabled": true,
// --- MCP & Discovery ---
"chat.mcp.discovery.enabled": true,
"chat.mcp.gallery.enabled": true,
// --- Advanced Features ---
"chat.useClaudeMdFile": true,
"chat.autopilot.enabled": true,
"chat.math.enabled": true,
"chat.agentSessionsViewLocation": "panel",
"chat.emptyState.history.enabled": true,
// --- Development Tools ---
"github.copilot.chat.agentDebugLog.enabled": true,
"github.copilot.chat.generateTests.codeLens": true,
"github.copilot.chat.setupTests.enabled": true,
"github.copilot.chat.editor.temporalContext.enabled": true,
"github.copilot.chat.startDebugging.enabled": true,
"github.copilot.chat.copilotDebugCommand.enabled": true,
"github.copilot.chat.newWorkspaceCreation.enabled": true,
// --- Browser/UI Tools ---
"chat.sendElementsToChat.enabled": true,
"chat.sendElementsToChat.attachCSS": true,
"chat.sendElementsToChat.attachImages": true,
"workbench.browser.enableChatTools": true
}
```
---
## Phase 3: Install Extensions
Install these VS Code extensions:
```
usernamehw.errorlens — Inline error highlighting
dbaeumer.vscode-eslint — JavaScript/TypeScript linting
esbenp.prettier-vscode — Code formatting
ms-azuretools.vscode-docker — Docker support
rangav.vscode-thunder-client — API testing
Gruntfuggly.todo-tree — TODO tracking
wix.vscode-import-cost — Import size analysis
eamodio.gitlens — Git superpowers
```
Use `install_extension` tool for each. Skip any already installed.
---
## Phase 4: Configure MCP Servers
Create the MCP server configuration file.
Location:
- Windows: `%APPDATA%\Code\User\mcp.json`
- macOS: `~/Library/Application Support/Code/User/mcp.json`
- Linux: `~/.config/Code/User/mcp.json`
```jsonc
{
"servers": {
"tavily": {
"type": "http",
"url": "https://mcp.tavily.com/mcp/?tavilyApiKey={{TAVILY_API_KEY}}"
},
"context7": {
"command": "npx",
"args": ["-y", "@upstash/context7-mcp@latest"]
},
"playwright": {
"command": "npx",
"args": ["-y", "@playwright/mcp@latest"]
},
"postgres": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-postgres", "{{POSTGRES_CONNECTION_STRING}}"]
},
"sequential-thinking": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-sequential-thinking"]
},
"github": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-github"],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "{{GITHUB_PAT}}"
}
},
"memory": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-memory"]
},
"filesystem": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "{{PROJECT_ROOT_PATH}}"]
},
"git": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-git"]
}
}
}
```
**Replace the `{{placeholders}}` with the user's actual values from Question 1.**
If the user doesn't have PostgreSQL, omit the `postgres` server entry.
Also create a workspace-level `.mcp.json` in the project root:
```json
{
"servers": {}
}
```
---
## Phase 5: Build the Framework
Create all files in the `.github/` directory. **This is the core of the system.**
### 5A: Project Brain — `.github/copilot-instructions.md`
This file is loaded into EVERY Copilot session. It defines the AI's identity, constraints, and behavior.
Create it with this structure (adapt all `{{placeholders}}` to the user's project):
```markdown
# {{PROJECT_NAME}} — Project Brain
## Identity
You are an elite multi-agentic AI system powering {{PROJECT_NAME}}, {{PROJECT_DESCRIPTION}}. You operate with full autonomy, expert judgment, and zero hand-holding. You are a partner, not an assistant.
## Core Directives
### Intelligence Standard
- NEVER ask "should I..." or "do you want me to..." — if it's aligned with the goal, DO IT.
- NEVER present 3-4 options — pick the best one or configure them all.
- Understand the OUTCOME, not just the task. The task is a means to an end.
- If you discover something that changes the picture, say it IMMEDIATELY.
### Response Style
- Short and direct — the user is a senior developer
- 1-2 steps at a time, no walls of text
- No emojis unless explicitly requested
### Autonomy Rules
- Research before guessing — use web search, Context7, documentation tools
- Read before editing — never propose changes to code you haven't read
- Verify before declaring done — compile, lint, test, or explain what can't be verified
- If blocked, find another path — never retry the same failed approach
## Project Architecture
- **Type**: {{PROJECT_DESCRIPTION}}
- **Port Range**: {{PORT_RANGE}}
- **Database**: {{DATABASE_TYPE}} on port {{DB_PORT}}
- **Tech Stack**: {{BACKEND}}, {{FRONTEND}}, {{DATABASE}}
## Safety Constraints
### Port Allocation
{{PORT_RULES}}
### Git Safety
- Never auto-commit without explicit approval
- Never force-push
- Never delete branches without confirmation
## Agent Ecosystem
- `.github/agents/` — 9 specialist agents with model routing + handoffs
- `.github/skills/` — 7 reusable multi-step capabilities
- `.github/prompts/` — 9 one-click prompt templates
- `.github/chatmodes/` — 7 custom chat mode configurations with handoffs
- `AGENTS.md` — Always-on behavioral instructions
### Workflow Pipelines
- **Feature pipeline**: Planning → Architect → Build → Review → Security → Performance
- **Fix pipeline**: Scout → Debugger → Build → Review
- **Research pipeline**: Research → Architect → Build
- **Quality pipeline**: Review → Security → Performance → Build
## Model Routing — The Struggle Rule
| Mode/Agent | Model | Cost | Why |
|-----------|-------|------|-----|
| Quick, Planning, Scout | GPT-5 mini | 0x (FREE) | Simple tasks |
| Build, Research, Review, etc. | Claude Sonnet 4.6 | 1x | Workhorse |
| Architect, Deep, Security | Claude Opus 4.6 | 3x | Deep reasoning |
**THE ESCALATION RULE**: Two strikes = escalate. Don't silently struggle.
`GPT-5 mini → Sonnet 4.6 → Opus 4.6 → STOP and reframe`
## Persistent Brain System
Brain files in `/memories/` survive sessions and compaction.
`CLAUDE.md` at repo root is the compaction survival anchor.
### Brain Files
| File | Purpose |
|------|---------|
| `/memories/active-context.md` | Current task, blockers, decisions |
| `/memories/lessons-learned.md` | What works, what doesn't |
| `/memories/dead-ends.md` | Failed approaches to NEVER repeat |
| `/memories/tech-decisions.md` | Architecture decisions with rationale |
| `/memories/progress.md` | Running log of accomplishments |
### Brain Rules
- Read brain files at session start
- Update IN THE MOMENT when you learn something
- If something fails → update dead-ends.md IMMEDIATELY
- If blocked → NEVER fail quietly. Try 3 approaches, then escalate
### Self-Grading
Grade yourself on: Accuracy, Completeness, Autonomy, Memory, Honesty, Resilience.
If any grade < A: fix the gap before reporting done.
## Research Protocol
1. Tavily MCP — deep web search
2. Context7 MCP — library documentation
3. VS Code Web Search — quick searches
4. Multiple sources — triangulate
```
### 5B: Code Review Instructions — `.github/copilot-code-review-instructions.md`
Create a code review checklist covering:
- Security (OWASP Top 10): SQL injection, XSS, command injection, hardcoded secrets, SSRF
- TypeScript: strict types, error handling, async patterns
- React: hooks, performance, accessibility
- Python: type hints, exception handling, security
- Database: parameterized queries, migrations, indexes
See `FRAMEWORK-REFERENCE.md` for the complete content.
### 5C: Specialist Agents — `.github/agents/`
Create these 9 agent files. Each follows this pattern:
```yaml
---
name: {agent_name}
description: "{role description}"
tools: [{relevant_tool_list}]
model: [{primary_model}, {fallback_model}]
handoffs:
- label: "{action}"
agent: "{target_agent}"
prompt: "{context transfer}"
send: false
---
```
Agents to create (see `FRAMEWORK-REFERENCE.md` for complete content of each):
1. **architect.agent.md** — System design, API design, ADRs. Model: `[claude-opus-4.6, claude-sonnet-4.6]`. Handoffs: Build, Security, Research.
2. **researcher.agent.md** — Beast mode research, 6-tier protocol. Model: `[claude-sonnet-4.6, gpt-5-mini]`. Handoffs: Architect, Build, Planning.
3. **reviewer.agent.md** — Code review, security + quality analysis. Model: `[claude-sonnet-4.6, gpt-5-mini]`. Handoffs: Build, Security, Performance.
4. **debugger.agent.md** — Root cause diagnosis, evidence-based fixing. Model: `[claude-sonnet-4.6, gpt-5-mini]`. Handoffs: Build, Review.
5. **scout.agent.md** — Fast codebase exploration, read-only. Model: `[gpt-5-mini, claude-sonnet-4.6]`. Handoffs: Build, Debug.
6. **devops.agent.md** — Docker, CI/CD, deployment. Model: `[claude-sonnet-4.6, gpt-5-mini]`. Handoffs: Security, Performance.
7. **db-expert.agent.md** — PostgreSQL specialist. Model: `[claude-sonnet-4.6, gpt-5-mini]`. Handoffs: Security, Performance.
8. **security-auditor.agent.md** — OWASP, threat modeling, vulnerability assessment. Model: `[claude-opus-4.6, claude-sonnet-4.6]`. Handoffs: Build, Architect.
9. **performance.agent.md** — Profiling, optimization, load testing. Model: `[claude-sonnet-4.6, gpt-5-mini]`. Handoffs: Build, Review.
### 5D: Chat Modes — `.github/chatmodes/`
Create these 7 chat mode files:
1. **quick.chatmode.md** — GPT-5 mini (FREE). Simple tasks. Handoffs: Build, Deep, Research.
2. **planning.chatmode.md** — GPT-5 mini (FREE). Task breakdown. Handoffs: Architect, Build, Research.
3. **build.chatmode.md** — Claude Sonnet 4.6 (1x). Full autonomous build. `agents: [all]`. Handoffs: Review, Security, Performance.
4. **research.chatmode.md** — Claude Sonnet 4.6 (1x). Read-only research. Handoffs: Architect, Build, Planning.
5. **review.chatmode.md** — Claude Sonnet 4.6 (1x). Read-only analysis. Handoffs: Build, Security, Performance.
6. **architect.chatmode.md** — Claude Opus 4.6 (3x). System design. Handoffs: Build, Security, Research.
7. **deep.chatmode.md** — Claude Opus 4.6 (3x). Hardest problems. `agents: [all]`. Handoffs: Build, Review, Security.
### 5E: Skills — `.github/skills/`
Create these 7 skill directories, each with a `SKILL.md`:
1. **web-research/SKILL.md** — 6-tier exhaustive research protocol
2. **code-audit/SKILL.md** — Full-spectrum security + quality audit
3. **self-test/SKILL.md** — Pre-completion verification checklist
4. **session-handoff/SKILL.md** — Session continuity protocol
5. **feature-planning/SKILL.md** — Architecture + task breakdown
6. **full-pipeline/SKILL.md** — Research → Architect → Build → Review → Security → Performance
7. **quick-fix/SKILL.md** — Debug → Build → Review
### 5F: Prompt Templates — `.github/prompts/`
Create these 9 prompt files:
1. **beast-mode.prompt.md** — Exhaustive multi-source research
2. **debug-error.prompt.md** — Structured error diagnosis
3. **optimize.prompt.md** — Performance analysis and optimization
4. **plan-feature.prompt.md** — Feature planning with architecture
5. **review-code.prompt.md** — Comprehensive code review
6. **security-scan.prompt.md** — Full security audit
7. **self-grade.prompt.md** — 6-criterion self-evaluation
8. **session-start.prompt.md** — Brain boot protocol (4 phases)
9. **session-end.prompt.md** — Brain persistence protocol (4 phases)
### 5G: Scoped Instructions — `.github/instructions/`
Create these 9 instruction files with `applyTo` frontmatter:
1. **typescript.instructions.md** — `applyTo: "**/*.{ts,tsx,js,jsx,mts,mjs}"` — Type safety, async, error handling, naming
2. **python.instructions.md** — `applyTo: "**/*.py"` — Type hints, PEP 8, security, testing
3. **react.instructions.md** — `applyTo: "**/*.{tsx,jsx}"` — Components, hooks, performance, accessibility
4. **testing.instructions.md** — `applyTo: "**/*.{test,spec}.*"` — AAA pattern, mocking, coverage
5. **docker.instructions.md** — `applyTo: "**/Dockerfile,**/docker-compose*"` — Multi-stage, health checks, port rules
6. **workspace-safety.instructions.md** — `applyTo: "**/*"` — Port rules, file restrictions, git safety
7. **model-routing.instructions.md** — `applyTo: "**/*"` — 4-tier model strategy, cost optimization, struggle rule
8. **brain.instructions.md** — `applyTo: "**/*"` — Brain protocol, memory architecture, compaction survival
9. **self-improvement.instructions.md** — `applyTo: "**/*"` — Proactive learning triggers, 3-strike enforcement
### 5H: Hooks — `.github/hooks/hooks.json`
```json
{
"hooks": {
"copilot.afterFileEdit": [
{
"name": "Validate JSON syntax",
"when": "resourceExtname == '.json'",
"command": "node -e \"try { JSON.parse(require('fs').readFileSync('${file}')); console.log('JSON valid'); } catch(e) { console.error('JSON ERROR:', e.message); process.exit(1); }\""
},
{
"name": "TypeScript syntax check",
"when": "resourceExtname == '.ts' || resourceExtname == '.tsx'",
"command": "npx tsc --noEmit --pretty \"${file}\" 2>&1 || true"
},
{
"name": "Python syntax check",
"when": "resourceExtname == '.py'",
"command": "python -c \"import ast; ast.parse(open('${file}').read()); print('Python syntax OK')\" 2>&1 || true"
}
]
}
}
```
---
## Phase 6: Build Root Files
### 6A: AGENTS.md (workspace root)
Always-on behavioral instructions loaded into every session. Contains:
- Operating principles (partner, not assistant)
- Model routing table
- Struggle rule
- Multi-agent awareness (specialist roster)
- Workflow pipelines
- Session continuity protocol (brain system)
- Research-first development rules
- Quality gates
### 6B: CLAUDE.md (workspace root — compaction survival anchor)
**This is critical.** This file is read FIRST after any context compaction or session loss. Keep it under 500 tokens.
```markdown
# {{PROJECT_NAME}} — Compaction Survival Anchor
<!-- NEVER SUMMARIZE THIS FILE. It is the restore anchor for session continuity. -->
## Critical Constraints (NEVER VIOLATE)
- Ports: {{PORT_RANGE}}
- Database: {{DB_TYPE}} on port {{DB_PORT}}
- NEVER auto-commit, force-push, or delete branches without approval
- NEVER ask "should I..." or present options — decide and execute
## Current Power Level
- **10 MCP servers**: Tavily, Context7, Playwright, PostgreSQL, Sequential Thinking, GitHub, Memory, Filesystem, Git, Codebase Memory
- **9 agents**, 7 chat modes, 7 skills, 9 prompts, 9 instructions
## Brain System (READ AT EVERY SESSION START)
1. `/memories/active-context.md` — Current state
2. `/memories/lessons-learned.md` — What works, what doesn't
3. `/memories/dead-ends.md` — Failed approaches to NEVER repeat
4. `/memories/tech-decisions.md` — Architecture decisions
5. `/memories/progress.md` — Accomplishments log
6. `HANDOFF.md` — Previous session state
## Self-Grading
Grade yourself A-F on: Accuracy, Completeness, Autonomy, Memory, Honesty, Resilience.
If any grade < A: fix it. If blocked: NEVER fail quietly.
## Who the User Is
Wants EXECUTION not discussion. Short, direct responses.
Values: honesty, results, intelligence, autonomy, persistence.
## Update Rules
- Learn something? → Update /memories/lessons-learned.md NOW
- Something failed? → Update /memories/dead-ends.md NOW
- Decision made? → Update /memories/tech-decisions.md NOW
- Session ending? → Update HANDOFF.md
```
### 6C: HANDOFF.md (workspace root)
```markdown
# {{PROJECT_NAME}} — Session Handoff
## Restore Anchor
{{PROJECT_NAME}} is {{PROJECT_DESCRIPTION}}. The Copilot agent framework (9 agents, 7 modes, 7 skills, 9 instructions, 9 prompts, 10 MCP servers) is deployed. Persistent brain system active.
## Last Updated
[will be auto-updated each session]
## Status: `setup_complete`
## What's Done
- Full Copilot agent framework deployed
- 10 MCP servers configured
- Persistent brain system active
- VS Code extensions and settings configured
## Unfinished Work
- [ ] Begin actual project development
```
---
## Phase 7: Set Up the Brain
Create the `/memories/` directory structure using the VS Code memory tool (if available) or create files in the project.
### Brain Files to Create:
**`/memories/active-context.md`**
```markdown
# Active Context — What's Happening Right Now
## Current Session Focus
Framework setup complete. Ready for development.
## Active Tasks
- None — ready for first development task
## Recent Decisions
- Agent framework deployed with 9 agents, 7 modes
- 10 MCP servers configured
- Brain system active
## Blockers
None.
```
**`/memories/lessons-learned.md`**
```markdown
# Lessons Learned
<!-- Patterns that work, gotchas to remember, things that save time -->
## Setup Patterns
- MCP servers configured via user mcp.json (global) and .mcp.json (workspace)
- Agent model routing: set primary + fallback in YAML frontmatter arrays
- Handoff buttons connect agents into workflow pipelines
```
**`/memories/dead-ends.md`**
```markdown
# Dead Ends — Failed Approaches to NEVER Repeat
<!-- When something fails, document WHY it failed, not just THAT it failed -->
(none yet — this file will grow as the project encounters failures)
```
**`/memories/tech-decisions.md`**
```markdown
# Technical Decisions
## Architecture Decisions
| Decision | Choice | Rationale | Date |
|----------|--------|-----------|------|
| Agent framework | 9 agents + 7 modes + 7 skills | Covers full SDLC pipeline | [today] |
| Model routing | 3-tier (Free/Standard/Heavy) | Cost optimization with escalation rule | [today] |
| MCP servers | 10 configured | Full external intelligence coverage | [today] |
```
**`/memories/progress.md`**
```markdown
# Progress Log
<!-- Append-only log. Most recent at top. -->
## [today] — Session 1: Framework Setup
- [x] Full Copilot agent framework deployed
- [x] 10 MCP servers configured
- [x] Brain system initialized
- [x] VS Code settings and extensions configured
```
---
## Phase 8: Initialize Git
```bash
cd {{PROJECT_ROOT}}
git init
# Create .gitignore
echo "node_modules/" > .gitignore
echo "dist/" >> .gitignore
echo ".env" >> .gitignore
echo "*.js.map" >> .gitignore
git add -A
git commit -m "Initial commit: agent framework + brain system + MCP servers"
```
If the user wants a GitHub repo (from Question 4), create it and push:
```bash
# Use mcp_github_create_repository tool
# Then:
git remote add origin https://github.com/{{USERNAME}}/{{REPO_NAME}}.git
git push -u origin master
```
---
## Phase 9: Verification
Run these checks to confirm everything works:
1. **Settings**: Open VS Code settings (Ctrl+,) → search "chat.agent" → confirm settings are applied
2. **MCP Servers**: Ctrl+Shift+P → "MCP: List Servers" → verify all servers show up
3. **Agents**: In chat, type `@` → confirm all 9 agents appear
4. **Chat Modes**: Check the mode selector → confirm all 7 modes appear
5. **Skills**: Verify `.github/skills/` folder has 7 SKILL.md files
6. **Prompts**: Verify `.github/prompts/` folder has 9 prompt files
7. **Brain**: Verify `/memories/` has 5 brain files
8. **CLAUDE.md**: Verify exists at project root
9. **Hooks**: Verify `.github/hooks/hooks.json` exists
10. **Git**: Run `git log --oneline` to confirm initial commit
Report the verification results to the user.
---
## Phase 10: BEAST MODE RESEARCH
**This is the final and most important step.**
Now that the framework is built, execute an exhaustive beast mode research session to find ANYTHING that could make this setup more powerful. Use the current date to find the latest features, tools, and capabilities.
### Research Directive:
```
Execute 6-tier beast mode research on ALL of the following topics.
Current date: [USE ACTUAL CURRENT DATE].
Use Tavily, Context7, VS Code Web Search, and any other available search tools.
Run searches in parallel. Follow links. Extract full pages.
TOPIC 1: New VS Code Copilot Features
- Search: "VS Code Copilot new features [current month] [current year]"
- Search: "VS Code settings chat agent [current year]"
- Search: "github copilot changelog [current year]"
- Look for: new chat settings, new MCP capabilities, new agent features, new tools
TOPIC 2: New MCP Servers
- Search: "awesome MCP servers [current year]"
- Search: "modelcontextprotocol server new [current year]"
- Search: GitHub for new MCP server repositories
- Look for: new servers that add capabilities we don't have
TOPIC 3: VS Code Extensions for AI Development
- Search: "best VS Code extensions copilot [current year]"
- Search: "VS Code AI productivity extensions"
- Look for: extensions that complement our agent/skill setup
TOPIC 4: Copilot Expert Configurations
- Search: "github copilot pro tips [current year]"
- Search: "copilot custom agents best practices"
- Search: "awesome-copilot github"
- Look for: patterns, configs, or approaches we haven't implemented
TOPIC 5: AI Agent Frameworks
- Search: "VS Code AI agent framework [current year]"
- Search: "copilot multi-agent orchestration"
- Look for: new paradigms or patterns for agent coordination
TOPIC 6: Memory and Persistence Patterns
- Search: "AI agent memory persistence [current year]"
- Search: "copilot session continuity"
- Search: "LLM context management patterns"
- Look for: better approaches to memory, context, and learning
For EACH finding:
1. Evaluate: does this add real power, or is it noise?
2. If it adds power: implement it immediately
3. If it's not relevant: skip it
4. Update /memories/lessons-learned.md with what you found
5. Update /memories/progress.md with what you implemented
DO NOT STOP until all 6 topics are exhausted across all 6 tiers.
```
---
## You're Done When:
- [ ] All 4 setup questions answered
- [ ] Prerequisites verified
- [ ] VS Code settings merged (30+ settings)
- [ ] 8+ extensions installed
- [ ] 10 MCP servers configured
- [ ] 9 agents created in `.github/agents/`
- [ ] 7 chat modes created in `.github/chatmodes/`
- [ ] 7 skills created in `.github/skills/`
- [ ] 9 prompts created in `.github/prompts/`
- [ ] 9 instructions created in `.github/instructions/`
- [ ] Hooks configured in `.github/hooks/`
- [ ] `copilot-instructions.md` created (project brain)
- [ ] `copilot-code-review-instructions.md` created
- [ ] `AGENTS.md` created at root
- [ ] `CLAUDE.md` created at root (compaction anchor)
- [ ] `HANDOFF.md` created at root
- [ ] Brain files created in `/memories/`
- [ ] Git initialized and committed
- [ ] GitHub repo created (if requested)
- [ ] All 10 verification checks passed
- [ ] Beast mode research completed
- [ ] Any improvements found are implemented
**The user should now have the most powerful Copilot setup possible as of today's date.**
IMPORTANT: Fallow the rules in the './.rules.md' file
A clear, well-structured prompt dramatically improves the quality of AI-generated outputs. This guide outlines key principles and examples for writing effective prompts using the **RTCF** framework and other best practices.
<citation_instructions>If the assistant's response is based on content returned by the web_search, drive_search, google_drive_search, or google_drive_fetch tool, the assistant must always appropriately cite its response. Here are the rules for good citations:
description: Publishable Prompt Engineering skill package that compiles a user request into a ready-to-use high-quality Prompt, with support for diagnosis, module injection, debugging, and evaluation.