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copilotkit-pitch-deck

Production-ready CopilotKit pitch deck wizard in main application. Use when enhancing AI conversatio

by amo-tech-ai|Open Source

CopilotKit + LangGraph Pitch Deck Skill

Overview

This skill provides comprehensive guidance for implementing and troubleshooting the CopilotKit + LangGraph pitch deck wizard with three-tier architecture.

Components

Main Skill

File: SKILL.md Purpose: Complete implementation guide for CopilotKit + LangGraph setup

Covers:

  • Three-tier architecture (Frontend → Runtime → Agent)
  • Runtime service setup (port 4000)
  • Configuration fixes (URLs, agent names)
  • Feature implementation (progress tracking, data collection)
  • Common issues and solutions
  • Testing workflows
  • Key file references

Supporting Documentation

QUICK-START.md - 30-minute setup guide

  • Phase 1: Create runtime service (10 min)
  • Phase 2: Fix configuration (5 min)
  • Phase 3: Start everything (5 min)
  • Phase 4: Test in browser (10 min)

TROUBLESHOOTING.md - Comprehensive debugging guide

  • Service startup issues
  • Connection problems
  • State synchronization
  • Message flow debugging
  • TypeScript errors
  • Performance optimization

Connected Subagent

Name: copilotkit-architect File: /home/sk/template-copilot-kit-py/.claude/agents/copilotkit-architect.md

When Invoked:

  • Setting up CopilotKit runtime service
  • Fixing agent configuration issues
  • Debugging shared state synchronization
  • Implementing three-tier architecture
  • Any CopilotKit + LangGraph task

Tools Available:

  • Read, Write, Edit
  • Bash, Glob, Grep
  • WebFetch, WebSearch

Model: Sonnet 4.5

Usage

Automatic Invocation

The copilotkit-architect subagent will be PROACTIVELY invoked when:

  • You mention "CopilotKit" or "LangGraph"
  • You're working on runtime service setup
  • You're debugging agent connections
  • You're implementing shared state features

Manual Invocation

"Use the copilotkit-architect subagent to help with runtime setup"
"Have copilotkit-architect debug the connection issues"

Skill Reference

The skill files are automatically loaded by the subagent when invoked. The progressive disclosure means:

  • Metadata loaded at startup (~100 tokens)
  • SKILL.md loaded when triggered (~2k tokens)
  • Supporting files loaded as needed (TROUBLESHOOTING.md, QUICK-START.md)

Architecture This Skill Implements

Frontend (:5173)  →  Runtime (:4000)  →  Agent (:8000)
     Vite             Node.js HTTP        LangGraph TS
  React 19            CopilotRuntime      TypeScript
  CopilotKit SDK      LangGraph Client    ChatOpenAI
  useCoAgent hook     HTTP + CORS         State Graph

Key Features

Runtime Service Setup

  • Node.js HTTP server configuration
  • CopilotKit Runtime integration
  • LangGraph client connection
  • CORS headers for development
  • Health check endpoints

Configuration Fixes

  • Runtime URL correction (:8000 → :4000/copilotkit)
  • Agent name consistency ("pitchDeckAgent" everywhere)
  • State type alignment (frontend ↔ backend)
  • Dev scripts for all three services

Feature Implementation

  • Progress calculation (0-100%)
  • Data collection via frontend actions
  • Shared state synchronization
  • Generate deck button logic

Implementation Plan Reference

Location: /home/sk/template-copilot-kit-py/copilotkit-langraph/copilotkit-docsm/plan/

Master Plan: 00-MASTER-PLAN.md - Overview and timeline Task 1: 01-SETUP-RUNTIME-SERVICE.md - Runtime creation Task 2: 02-FIX-CONFIGURATION.md - Config fixes Task 3: 03-IMPLEMENT-FEATURES.md - Feature implementation

Testing

Quick Test

cd /home/sk/template-copilot-kit-py/copilotkit-langraph
pnpm run dev
# Navigate to http://localhost:5173
# Send test message in chat

Health Checks

curl http://localhost:4000/health  # Runtime
curl http://localhost:8000/health  # Agent

Type Check

pnpm tsc --noEmit

Success Criteria

This skill has succeeded when:

  • Runtime service running on port 4000
  • All 3 services start with pnpm run dev
  • Frontend connects to runtime (no CORS)
  • Runtime connects to agent
  • Chat interface works
  • Progress tracking updates
  • Generate button appears at 80%+

Best Practices Applied

Skill Design

✅ Gerund naming: copilotkit-pitch-deck (implementing, troubleshooting) ✅ Specific description: Mentions when to use and what it covers ✅ Progressive disclosure: Main guide + supporting docs ✅ Under 500 lines: SKILL.md is ~400 lines ✅ Third person: Description written for skill discovery

Subagent Design

✅ Single responsibility: CopilotKit + LangGraph only ✅ Clear triggers: "PROACTIVELY" and "MUST BE USED" ✅ Limited tools: Only what's needed (no database tools) ✅ Detailed prompt: Specific patterns and workflows ✅ Model choice: Sonnet for balance of speed/quality

Documentation

✅ Token efficient: Concise, no repetition ✅ Actionable: Clear next steps ✅ Examples: Code snippets for common patterns ✅ Troubleshooting: Solution-focused debugging

Related Skills

  • pitch-deck-generator - Original Supabase-based wizard
  • frontend-builder - React component generation
  • testing-workflow - E2E testing for CopilotKit

Related Subagents

  • ui-developer - Frontend component work
  • task-orchestrator - Multi-task coordination
  • task-executor - Specific task implementation

Version History

v1.0 (October 22, 2025)

  • Initial skill creation
  • SKILL.md with complete implementation guide
  • QUICK-START.md for 30-minute setup
  • TROUBLESHOOTING.md with debugging solutions
  • Connected copilotkit-architect subagent
  • Following best practices from Anthropic docs

Maintenance

Update triggers:

  • CopilotKit version updates
  • LangGraph API changes
  • New troubleshooting patterns discovered
  • User feedback on implementation

Review schedule: Monthly or after major library updates

Support

Documentation: See SKILL.md for complete guide Quick start: See QUICK-START.md for fast setup Troubleshooting: See TROUBLESHOOTING.md for debugging Implementation plan: /copilotkit-docsm/plan/ folder Invoke subagent: Use copilotkit-architect for hands-on help

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