better-chatbot
better-chatbot project conventions and standards. Use for contributing code, following three-tier tool system (MCP/Workflow/Default), or encountering server action validators, repository patterns, component design errors.
What this skill does
# better-chatbot Contribution & Standards Skill
**Status**: Production Ready
**Version**: 3.0.0 (Optimized with progressive disclosure)
**Last Updated**: 2025-12-17
**Dependencies**: None (references better-chatbot project)
**Latest Versions**: Next.js 16.0.3, Vercel AI SDK 5.0.98, Better Auth 1.3.34, Drizzle ORM 0.41.0
---
## Overview
**better-chatbot** is an open-source AI chatbot platform for individuals and teams, built with Next.js 15 and Vercel AI SDK v5. It combines multi-model AI support (OpenAI, Anthropic, Google, xAI, Ollama, OpenRouter) with advanced features like MCP (Model Context Protocol) tool integration, visual workflow builder, realtime voice assistant, and team collaboration.
**This skill teaches Claude the project-specific conventions and patterns** used in better-chatbot to ensure contributions follow established standards and avoid common pitfalls.
---
## Quick Start
### Setup Development Environment
```bash
# Clone and install
git clone https://github.com/cgoinglove/better-chatbot.git
cd better-chatbot
pnpm install
# Configure environment
cp .env.example .env
# Add your API keys: OPENAI_API_KEY, ANTHROPIC_API_KEY, etc.
# Add database URL: DATABASE_URL="postgresql://..."
# Add auth secret: BETTER_AUTH_SECRET="your-secret"
# Run development server
pnpm dev
```
### Core Commands
- `pnpm dev` - Start development server
- `pnpm build` - Production build
- `pnpm test` - Run unit tests
- `pnpm test:e2e` - Run E2E tests (requires DB + API keys)
- `pnpm check` - Lint + type check + tests (run before PR)
### Repository Structure
```
better-chatbot/
├── src/
│ ├── app/ # Next.js routes + API
│ ├── components/ # UI components by domain
│ ├── lib/ # Core logic (ai, db, validations)
│ ├── hooks/ # React hooks
│ └── types/ # TypeScript types
├── tests/ # E2E Playwright tests
└── drizzle/ # Database migrations
```
---
## Core Architecture
### Three-Tier Tool System
Better-chatbot uses a three-tier tool architecture for AI capabilities:
1. **MCP Tools** - External tools via Model Context Protocol
2. **Workflow Tools** - Visual DAG-based workflows
3. **Default Tools** - Built-in app tools (web search, image generation, etc.)
**For details**: Load `references/tool-system.md` when implementing tools or understanding tool execution.
### API Patterns
Routes follow RESTful conventions with streaming-first architecture and defensive programming using `safe()` wrapper.
**For details**: Load `references/api-architecture.md` when building API routes or implementing streaming.
### Component Philosophy
Components organized by feature using compound component pattern. Tools execution separated from rendering.
**For details**: Load `references/component-patterns.md` when building UI components.
### Database & Repository Pattern
All database access abstracted through repository classes using Drizzle ORM.
**For details**: Load `references/database-patterns.md` when implementing database queries.
---
## Top 5 Errors (Must Know)
### Error #1: Forgetting Auth Checks in Server Actions
**Error**: Unauthorized users accessing protected actions
**Why**: Manual auth implementation is inconsistent
**Prevention**: Use `validatedActionWithUser` or `validatedActionWithAdminPermission`
```typescript
// ❌ BAD: Manual auth check
export async function updateProfile(data: ProfileData) {
const session = await getSession()
if (!session) throw new Error("Unauthorized")
// ... rest of logic
}
// ✅ GOOD: Use validator
export const updateProfile = validatedActionWithUser(
profileSchema,
async (data, formData, user) => {
// user is guaranteed to exist, auto-error handling
}
)
```
### Error #2: Tool Type Mismatches
**Error**: Runtime type errors when executing tools
**Why**: Not checking tool type before execution
**Prevention**: Use branded type tags for runtime narrowing
```typescript
// ❌ BAD: Assuming tool type
const result = await executeMcpTool(tool)
// ✅ GOOD: Check tool type
if (VercelAIMcpToolTag.isMaybe(tool)) {
const result = await executeMcpTool(tool)
} else if (VercelAIWorkflowToolTag.isMaybe(tool)) {
const result = await executeWorkflowTool(tool)
}
```
### Error #3: FormData Parsing Errors
**Error**: Inconsistent error handling for form submissions
**Why**: Manual FormData parsing with ad-hoc validation
**Prevention**: Validators handle parsing automatically
```typescript
// ❌ BAD: Manual parsing
const name = formData.get("name") as string
if (!name) throw new Error("Name required")
// ✅ GOOD: Validator with Zod
const schema = z.object({ name: z.string().min(1) })
export const action = validatedAction(schema, async (data) => {
// data.name is validated and typed
})
```
### Error #4: Cross-Field Validation Issues
**Error**: Password mismatch validation not working
**Why**: Separate validation for related fields
**Prevention**: Use Zod `superRefine`
```typescript
// ❌ BAD: Separate checks
if (data.password !== data.confirmPassword) { /* error */ }
// ✅ GOOD: Zod superRefine
const schema = z.object({
password: z.string(),
confirmPassword: z.string()
}).superRefine((data, ctx) => {
if (data.password !== data.confirmPassword) {
ctx.addIssue({
code: z.ZodIssueCode.custom,
message: "Passwords don't match",
path: ["confirmPassword"]
})
}
})
```
### Error #5: Zustand State Mutation
**Error**: State updates not triggering re-renders
**Why**: Mutating state directly instead of creating new objects
**Prevention**: Use shallow updates with spread operator
```typescript
// ❌ BAD: Direct mutation
set((state) => {
state.user.name = "New Name" // Mutation!
})
// ✅ GOOD: Shallow update
set((state) => ({
user: { ...state.user, name: "New Name" }
}))
```
**For all errors**: Load `references/common-errors.md` when debugging issues beyond the top 5.
---
## Critical Rules
### Always Do
✅ Use `validatedActionWithUser` or `validatedActionWithAdminPermission` for server actions
✅ Check tool types with branded type tags before execution
✅ Use Zod `superRefine` for cross-field validation
✅ Add unit tests (happy path + one failure mode)
✅ Run `pnpm check` before PR submission
✅ Include visual documentation for UI changes
✅ Use Conventional Commit format for PR titles
✅ Run E2E tests when touching critical flows
### Never Do
❌ Implement server actions without auth validators
❌ Assume tool type without runtime check
❌ Parse FormData manually (use validators)
❌ Mutate Zustand state directly (use shallow updates)
❌ Skip first-user tests on clean database
❌ Commit without running `pnpm check`
❌ Submit PR without visual docs (if UI change)
❌ Use non-conventional commit format
---
## When to Load References
Load reference files when working on specific aspects of better-chatbot:
### API Architecture (`references/api-architecture.md`)
Load when:
- Implementing new API routes or endpoints
- Understanding route handler patterns
- Working with streaming responses
- Implementing defensive programming with safe()
- Troubleshooting API-related issues
- Building shared business logic
### Tool System (`references/tool-system.md`)
Load when:
- Adding new MCP tools
- Creating workflow tools
- Understanding tool lifecycle
- Debugging tool execution
- Implementing tool filtering or mentions
- Working with the three-tier tool architecture
### Component Patterns (`references/component-patterns.md`)
Load when:
- Building new UI components
- Understanding compound component pattern
- Implementing state management
- Working with Zustand stores
- Designing component APIs
- Separating tool execution from rendering
### Database Patterns (`references/database-patterns.md`)
Load when:
- Creating new repository classes
- Writing complex database queries
- Implementing transactions
- Understanding the repository pattern
- Troubleshooting database issues
- Working with Drizzle ORM
### Architectural PrinciplRelated in Design
contribute
IncludedLocal-only OSS contribution command center. Auto-refreshes the user's in-flight PR and issue state on invoke so conversations start with full context — no need to brief Claude on what's in flight. Helps the user find issues to contribute to on GitHub, builds per-repo dossiers of what each upstream expects (CLA, DCO, branch convention, AI policy, draft-first, review bots, issue templates), runs deterministic gates before any external action so AI-assisted contributions don't reach maintainers as slop. State is markdown-only: candidate files at ~/.contribute-system/candidates/, repo dossiers at ~/.contribute-system/research/, append-only event log at ~/.contribute-system/log.jsonl. No database, no cloud calls. Use when the user asks about their PRs / issues / contributions, wants to find new work to take on, claim an issue, build/refresh a repo's dossier, or draft a Design Issue or PR. Trigger with "/contribute", "what's my PR status", "find a contribution", "claim issue X", "draft a Design Issue for Y", "refresh dossier for Z".
architectural-analysis
IncludedUser-triggered deep architectural analysis of a codebase or scoped subtree across eight modes — information architecture, data flow, integration points, UI surfaces, interaction patterns, data model, control flow, and failure modes. This skill should be used when the user asks to "diagram this codebase," "map the architecture," "show the data flow," "give me an ERD," "trace control flow," "find the integration points," "verify the layout pattern," "audit the UX architecture," or any similar request whose primary deliverable is mermaid diagrams plus cited reports under docs/architecture/. Dispatches haiku/sonnet sub-agents in parallel for per-mode exploration, then verifies every citation mechanically before any node lands in a diagram. Not for one-off prose explanations of code (use code-explanation) or for high-level system design from scratch (use system-design).
mcp
IncludedModel Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
react-native-skia
IncludedDesign, build, debug, and optimise high-polish animated graphics in React Native or Expo using @shopify/react-native-skia, Reanimated, and Gesture Handler. Use when the user wants canvas-driven UI, shaders, paths, rich text, image filters, sprite fields, Skottie, video frames, snapshots, web CanvasKit setup, or performance tuning for custom motion-heavy elements such as loaders, hero art, cards, charts, progress indicators, particle systems, or gesture-driven surfaces. Also use when the user asks for fluid, glow, glass, blob, parallax, 60fps/120fps, or GPU-friendly animated effects in React Native, even if they do not explicitly say "Skia". Do not use for ordinary form/layout work with standard views.
plaid
IncludedProduct Led AI Development — guides founders from idea to launched product. Six capabilities: Idea (discover a product idea), Validate (pressure-test the idea against fatal flaws, problem reality, competition, and 2-week MVP feasibility), Plan (vision intake + document generation), Design (translate image references into a design.md spec), Launch (go-to-market strategy), and Build (roadmap execution). Use when someone says "PLAID", "plaid idea", "help me find an idea", "product idea", "idea from my business", "idea from my expertise", "plaid validate", "validate my idea", "pressure-test", "is this idea good", "find fatal flaws", "validate the problem", "plan a product", "define my vision", "generate a PRD", "product strategy", "plaid design", "design from image", "translate image to design", "create design.md", "extract design tokens", "plaid launch", "go-to-market", "launch plan", "GTM strategy", "launch playbook", "plaid build", "build the app", "start building", or "execute the roadmap".
nextjs-framer-motion-animations
IncludedAdds production-safe Motion for React or Framer Motion animations to Next.js apps, including reveal, hover and tap micro-interactions, whileInView, stagger, AnimatePresence, layout and layoutId transitions, reorder, scroll-linked UI, and lightweight route-content transitions. Use when the user asks to add, refactor, or debug Motion or Framer Motion in App Router or Pages Router codebases, especially around server/client boundaries, reduced motion, LazyMotion, bundle size, hydration, or route transitions. Avoid for GSAP-style timelines, WebGL or 3D scenes, heavy scroll storytelling, or CSS-only effects unless Motion is explicitly requested.