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AgentKit 2.0 Complete Feature Guide — 16 Specialist Agents × Multi-Agent Orchestration

Comprehensive guide to AgentKit 2.0's 2026 evolution as a full-stack development framework. Discover 16 specialist agents, 40+ skills, 11 commands, and the Agent MD framework.

agentkit¹³ ai-agents⁴ multi-agent⁴⁹ orchestration²¹ development-framework

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AgentKit 2.0 in 2026 has evolved from a simple code generation tool into a full-team collaboration system. Sixteen specialist agents work together, wielding 40+ skills and 11 commands to automate and accelerate every dimension of complex software development.

AgentKit 2.0's Evolution — From Code Generation to System Design

In the AgentKit 1.x era, the tool worked linearly: input requirements, output code. Real projects, however, juggle frontend, backend, databases, deployment, and security simultaneously. Multiple concerns need specialized attention.

AgentKit 2.0 flips this model. Each domain now has its own specialist agent. An orchestrator agent acts like a project manager, coordinating the whole team.

The shift:

1.x: Single agent → code generator
2.0: 16 agents → AI-powered development team

This approach scales: large projects maintain quality and security while shipping faster.

The 16 Specialist Agents

Each agent brings deep expertise in one domain and a curated skill set.

Frontend Development (4 agents)

UI Component Agent: React, Vue, Svelte components; Tailwind CSS styling; accessibility compliance
State Management Agent: Redux, Zustand, Pinia patterns; data flow optimization; performance tuning
Performance Optimization Agent: Bundle size reduction; render optimization; caching strategies
UI Testing Agent: Jest, Vitest, Playwright; unit and E2E test design; coverage expansion

Backend Development (4 agents)

API Design Agent: REST and GraphQL API design; OpenAPI spec generation; versioning strategies
Database Agent: Schema design; migration management; query optimization; indexing strategies
Auth & Authorization Agent: OAuth 2.0, JWT, SAML; role-based access control (RBAC); security audits
Business Logic Agent: Domain-driven design (DDD); complex rule systems; architectural patterns

Infrastructure & DevOps (3 agents)

Docker & Containerization Agent: Dockerfile optimization; multi-stage builds; registry management
Kubernetes & Orchestration Agent: Deployment configs; scaling strategies; network policies
CI/CD Pipeline Agent: GitHub Actions, GitLab CI, CloudBuild; automated testing, building, deployment

Cross-Cutting Concerns (5 agents)

Documentation Agent: README, API docs, architecture diagrams, tutorials
Security Audit Agent: OWASP Top 10 compliance; vulnerability scanning; dependency checks; encryption strategies
Performance Analysis Agent: Metrics collection; bottleneck detection; optimization recommendations
Refactoring Agent: Code quality improvement; duplication elimination; design pattern application
Orchestrator Agent: Project-wide coordination; dependency management; priority resolution

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WHAT YOU'LL LEARN

✦Master 16 specialist agents (frontend, backend, security, testing, infrastructure) and understand their complete ecosystem

✦Learn 40+ practical skills and 11 commands organized by domain, plus when and how to use each one

✦Orchestrate complex full-stack projects using multi-agent collaboration, dynamic replanning, and resource optimization

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40+ Skills and 11 Commands Explained

Each agent wields specialized skills (fine-grained capabilities) and operates through standard commands (action modes).

Skill Families by Domain

Frontend Skills (10): component-generate, style-optimize, a11y-check, bundle-analyze, lighthouse-audit, state-refactor, test-coverage, ui-pattern-apply, responsive-design, animation-implement

Backend Skills (12): api-scaffold, schema-design, migration-generate, query-optimize, auth-implement, rbac-setup, rate-limit, cache-strategy, async-job, error-handling, validation-schema, logging-setup

Infrastructure Skills (10): dockerfile-optimize, k8s-manifest, helm-chart, ci-pipeline, env-config, secret-vault, monitoring-setup, load-test, security-scan, backup-strategy

Cross-Cutting Skills (8+): doc-generate, diagram-create, dependency-audit, code-review, refactor-suggest, cost-optimize, seo-optimize

The 11 Commands

init: New project initialization
analyze: Examine existing codebases
scaffold: Generate directory structure and boilerplate
implement: Write feature code
test: Design test strategies and generate test code
optimize: Performance and cost tuning
deploy: Deployment configuration and automation
monitor: Observability setup (monitoring, logging, alerts)
refactor: Code quality improvement and design patterns
document: Auto-generate documentation
review: Code review and quality checks

Agent MD Framework — Precise Task Execution Rules

AgentKit 2.0 standardizes agent behavior through Agent MD, a Markdown-based directive language. This lets you control agent actions precisely and embed project-specific requirements.

Core Structure

An Agent MD document defines:

Purpose: What the agent does
Constraints: Rules and boundaries
Skills: Available capabilities
Input/Output Format: Expected data structures
Error Handling: Failure responses

Example: API Design Agent

An API Design Agent's purpose is REST/GraphQL design and OpenAPI spec generation. Its constraints: POST/PUT must have request validation schemas; endpoints >50 suggest microservices; auth uses OAuth 2.0 or JWT; API P95 latency ≤ 200ms. It uses skills like api-scaffold, auth-implement, validation-schema, doc-generate, and rate-limit. It accepts JSON input and outputs Markdown + OpenAPI YAML.

This consistency ensures large multi-agent systems remain coherent.

InForge Backend Integration — Automated Setup and Real-Time Deployment

AgentKit 2.0 integrates seamlessly with InForge, a backend integration platform. Write code once, deploy to production with a single command.

Three Integration Stages

Stage 1: Automated Setup

Auto-detect infrastructure needs from code
Generate Docker and Kubernetes manifests
Provision databases (PostgreSQL, MongoDB)
Configure environment and secrets

Stage 2: Real-Time Deployment

Git push triggers CI/CD automatically
Blue-green deployments ensure zero downtime
Rollback at any time
Real-time deployment logs

Stage 3: Performance Monitoring

Prometheus and Grafana dashboards auto-generated
CPU, memory, and network visibility
Slow endpoints auto-detected
Alerts auto-configured

Multi-Agent Orchestration in Practice

AgentKit 2.0's greatest strength is orchestration: the Orchestrator Agent coordinates 15 others.

Three Levels of Orchestration

Level 1: Order Control Dependencies are managed automatically. Building user authentication? Auth Agent → API Agent → Frontend Agent → Testing Agent → Security Agent. Done in sequence.

Level 2: Resource Optimization Multiple agents work in parallel. Frontend (4 agents), Backend (4 agents), Infrastructure (3 agents), Cross-cutting (5 agents) all run simultaneously. The Orchestrator detects slowdowns and reallocates resources.

Level 3: Dynamic Replanning Requirements change mid-project. Performance misses targets. The Orchestrator detects the issue, the Performance Analysis Agent pinpoints the bottleneck, and affected agents re-implement in parallel.

v2.2.5 (March 2026) — Key Updates

v2.0.0 (January 2026) introduced the 16-agent architecture and Agent MD framework.

v2.1.0 (February 2026) added InForge integration, blue-green deployments, and Prometheus/Grafana auto-setup.

v2.2.0 (Early March 2026) added agent-to-agent discussion (when opinions differ, explore multiple approaches), context handoff (prior results automatically shared), and quality scoring (each output is scored and improvements suggested).

v2.2.5 (Late March 2026) improved vulnerability detection (99.5% accuracy), bundle size reduction (30% average), and API latency optimization (P95 improved 15%).

Real-World Example: Full-Stack SaaS with AgentKit

Let's walk through building "TaskFlow," a task management SaaS for remote teams.

Project Requirements

OAuth 2.0 authentication
Task CRUD with real-time sync
Team and permission management
API P95 response time < 200ms
OWASP Top 10 compliance

AgentKit Execution

Day 1: Design Phase The Orchestrator + UI, API, and Database agents run in parallel, generating architecture diagrams, ER schemas, API specs, and UI wireframes.

Weeks 1-2: Core Implementation Seven agents implement frontend, backend, and infrastructure in parallel. Dependencies auto-managed.

Week 3: Testing & Optimization Testing, security, and performance agents work simultaneously.

Week 4: Deploy & Launch One-command deployment to production. Real-time monitoring dashboard live.

Outcomes

Time: 12 weeks → 4 weeks (70% faster)
Test Coverage: 60% → 85%
Security Issues at Launch: 3-5 → 0
API Latency: P95 at 150ms (requirement was 200ms)
Deployment Time: < 5 minutes

Wrapping up

AgentKit 2.0 represents the current frontier of agent-based software development.

16 specialist agents, 40+ skills, and 11 commands bring structure to complex projects
Agent MD lets you encode project-specific requirements precisely
InForge integration eliminates deployment friction
Multi-agent orchestration scales your team's capabilities

Start small: implement one feature, then expand. You'll discover that AgentKit transforms how teams build software.

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