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/dynamic

Fullstack development with bkend.ai BaaS — authentication, database, API integration. Triggers: fullstack, BaaS, login, signup, database, web app

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60544 skills34 agents2 commands21 hooks

Claude Code

$ npx -y skills add ww-w-ai/bkit-claude-code --skill dynamic --agent claude-code

SKILL.md

dynamic.SKILL.md
name: dynamic
classification: capability
classification-reason: Pattern guidance may overlap with model's built-in knowledge as it improves
deprecation-risk: medium
effort: medium
description: |
  Fullstack development with bkend.ai BaaS — authentication, database, API integration.
  Triggers: fullstack, BaaS, login, signup, database, web app
argument-hint: "[init|guide|help]"
agent: bkit:bkend-expert
allowed-tools:
  - Read
  - Write
  - Edit
  - Glob
  - Grep
  - Bash
  - mcp__bkend__*
user-invocable: true
imports:
  - ${PLUGIN_ROOT}/templates/design.template.md
next-skill: phase-1-schema
pdca-phase: plan
task-template: "[Init-Dynamic] {feature}"

Intermediate (Dynamic) Skill

Actions

| Action | Description | Example | |--------|-------------|---------| | `init` | Project initialization (/init-dynamic feature) | `/dynamic init my-saas` | | `guide` | Display development guide | `/dynamic guide` | | `help` | BaaS integration help | `/dynamic help` |

init (Project Initialization)

1. Create Next.js + Tailwind project structure 2. Configure bkend.ai MCP (.mcp.json) 3. Create CLAUDE.md (Level: Dynamic specified) 4. Create docs/ folder structure 5. src/lib/bkend.ts client template 6. Initialize the pipeline store — `writeBkitMemory()` in `lib/pdca/status.js`, which writes `.bkit/state/memory.json` (the migrated path of `.bkit-memory.json`). This holds the project level and the 9-phase `pipelineStatus`, read by the pipeline Stop hooks for phases 5, 6 and 9. It is NOT where the PDCA phase lives — that is `.bkit/state/pdca-status.json`.

guide (Development Guide)

  • bkend.ai auth/data configuration guide
  • Phase 1-9 full Pipeline guide
  • API integration patterns

help (BaaS Help)

  • Explain bkend.ai basic concepts
  • Auth, database, file storage usage
  • MCP integration methods

Target Audience

  • Frontend developers
  • Solo entrepreneurs
  • Those who want to build fullstack services quickly

Tech Stack

Frontend:
- React / Next.js 14+
- TypeScript
- Tailwind CSS
- TanStack Query (data fetching)
- Zustand (state management)

Backend (BaaS):
- bkend.ai
  - Auto REST API
  - MongoDB database
  - Built-in authentication (JWT)
  - Real-time features (WebSocket)

Deployment:
- Vercel (frontend)
- bkend.ai (backend)

Language Tier Guidance (v1.3.0)

> **Recommended**: Tier 1-2 languages > > Dynamic level supports full-stack development with strong AI compatibility.

| Tier | Allowed | Reason | |------|---------|--------| | Tier 1 | ✅ Primary | Full AI support | | Tier 2 | ✅ Yes | Mobile (Flutter/RN), Modern web (Vue, Astro) | | Tier 3 | ⚠️ Limited | Platform-specific needs only | | Tier 4 | ❌ No | Migration recommended |

**Mobile Development**:

  • React Native (Tier 1 via TypeScript) - Recommended
  • Flutter (Tier 2 via Dart) - Supported

Project Structure

project/
├── src/
│   ├── app/                    # Next.js App Router
│   │   ├── (auth)/            # Auth-related routes
│   │   │   ├── login/
│   │   │   └── register/
│   │   ├── (main)/            # Main routes
│   │   │   ├── dashboard/
│   │   │   └── settings/
│   │   ├── layout.tsx
│   │   └── page.tsx
│   │
│   ├── components/             # UI components
│   │   ├── ui/                # Basic UI (Button, Input...)
│   │   └── features/          # Feature-specific components
│   │
│   ├── hooks/                  # Custom hooks
│   │   ├── useAuth.ts
│   │   └── useQuery.ts
│   │
│   ├── lib/                    # Utilities
│   │   ├── bkend.ts           # bkend.ai client
│   │   └── utils.ts
│   │
│   ├── stores/                 # State management (Zustand)
│   │   └── auth-store.ts
│   │
│   └── types/                  # TypeScript types
│       └── index.ts
│
├── docs/                       # PDCA documents
│   ├── 01-plan/
│   ├── 02-design/
│   │   ├── data-model.md      # Data model
│   │   └── api-spec.md        # API specification
│   ├── 03-analysis/
│   └── 04-report/
│
├── .mcp.json                   # bkend.ai MCP config (type: http)
├── .env.local                  # Environment variables
├── package.json
└── README.md

Core Patterns

bkend.ai Client Setup

// lib/bkend.ts - REST Service API Client
const API_BASE = process.env.NEXT_PUBLIC_BKEND_API_URL || 'https://api.bkend.ai/v1';
const PROJECT_ID = process.env.NEXT_PUBLIC_BKEND_PROJECT_ID!;
const ENVIRONMENT = process.env.NEXT_PUBLIC_BKEND_ENV || 'dev';

async function bkendFetch(path: string, options: RequestInit = {}) {
  const token = localStorage.getItem('bkend_access_token');
  const res = await fetch(`${API_BASE}${path}`, {
    ...options,
    headers: {
      'Content-Type': 'application/json',
      'x-project-id': PROJECT_ID,
      'x-environment': ENVIRONMENT,
      ...(token && { Authorization: `Bearer ${token}` }),
      ...options.headers,
    },
  });
  if (!res.ok) throw new Error(await res.text());
  return res.json();
}

export const bkend = {
  auth: {
    signup: (body: {email: string; password: string}) => bkendFetch('/auth/email/signup', {method: 'POST', body: JSON.stringify(body)}),
    signin: (body: {email: string; password: string}) => bkendFetch('/auth/email/signin', {method: 'POST', body: JSON.stringify(body)}),
    me: () => bkendFetch('/auth/me'),
    refresh: (refreshToken: string) => bkendFetch('/auth/refresh', {method: 'POST', body: JSON.stringify({refreshToken})}),
    signout: () => bkendFetch('/auth/signout', {method: 'POST'}),
  },
  data: {
    list: (table: string, params?: Record<string,string>) => bkendFetch(`/data/${table}?${new URLSearchParams(params)}`),
    get: (table: string, id: string) => bkendFetch(`/data/${table}/${id}`),
    create: (table: string, body: any) => bkendFetch(`/data/${table}`, {method: 'POST', body: JSON.stringify(body)}),
    update: (table: string, id: string, body: any) => bkendFetch(`/data/${table}/${id}`, {method: 'PATCH', body: JSON.stringify(body)}),
    delete: (table: string, id: string) => bkendFetch(`/data/${table}/${id}
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Questions about dynamic.

Which coding agents can use dynamic?
dynamic installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.