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Agents

Agents Reference

33 autonomous AI specialists. Each one encodes deep domain expertise so you get senior-level output without senior-level effort.

stage: preview

Public preview: free to install. The plugin is open source (MIT) and the orchestrator is source-available (FSL-1.1). Interfaces may change.


How Agents Work

Agents are autonomous specialists that Claude Code delegates to when it recognizes a task matches an agent's expertise. You don't need to invoke them directly — Claude reads your prompt, picks the right agent, and routes your request.

But you can invoke them directly through commands like /nxtg-forge:feature (which orchestrates Planner → Builder → Testing → Guardian) or through the /nxtg-forge:agent-assign command.

                          Core Workflow
  ┌─────────────────────────────────────────────────┐
  │                                                   │
  │  [Planner] ──► [Builder] ──► [Testing] ──► [Guardian] │
  │       ▲            ▲            ▲            ▲    │
  │       └──── [Orchestrator] coordinates ──────┘    │
  └─────────────────────────────────────────────────┘

                      Domain Specialists
  ┌─────────────────────────────────────────────────┐
  │  [Security]  [Performance]  [API]  [Database]  [UI] │
  └─────────────────────────────────────────────────┘

                        Governance
  ┌─────────────────────────────────────────────────┐
  │  [Detective]  [Compliance]  [Release Sentinel]  [Crucible] │
  └─────────────────────────────────────────────────┘

  Guardian ─ ─ spawns ─ ─► Security & Testing
  Detective ─ ─ spawns ─ ─► Security & Testing & Performance

Every agent runs at L1 (plugin only). Some gain enhanced capabilities at L2 (orchestrator) and L3 (dashboard).


Agent Selection Guide

"I want to build something" → Planner designs it, Builder implements it, Guardian validates it

"Something is broken" → Is production down RIGHT NOW? → Incident Commander (triage, rollback, coordination) → Need to understand why something failed? → Detective (root cause analysis, health diagnosis) → Tests are failing? → Testing (flaky test diagnosis, coverage gaps)

"Is my code good?" → Guardian for pre-commit quality gates, Security for deep vulnerability audits, Crucible Detective for test quality forensics

"I need to launch this product" → Product Strategist for positioning, Growth Engine for distribution, Wordsmith for copy

"Make it faster / cleaner / better" → Performance for speed, Refactor for structure, Master Architect for design


Which Quality Agent Do I Use?

The most common confusion: Detective, Guardian, Security, and Compliance all touch "quality." Here's when to use each:

AgentSpeedDepthUse WhenWhat It Finds
DetectiveFast (~30s)Broad (5 dimensions)Start of session, "what's the health of this project?"Overview: test gaps, stale docs, architecture smells, security surface
GuardianMedium (~1-2 min)Medium (tests + types + lint + security)Before committing or pushing codePre-ship gate: test failures, type errors, lint violations, basic security
SecuritySlow (~5-10 min)Deep (OWASP-focused)Before a release, after auth changes, during security auditsDeep: CVEs, hardcoded secrets, auth flow weaknesses, injection vectors
ComplianceMedium (~2 min)Focused (legal/regulatory)Before release, after adding dependenciesLegal: license conflicts, GDPR violations, WCAG accessibility gaps
Crucible DetectiveSlow (~5 min)Forensic (test quality only)When tests pass but software doesn't workFraud: hollow assertions, coverage gaming, mock proliferation

The relationship: Guardian spawns Security and Testing as parallel subagents during quality gates. Detective spawns Testing, Security, Docs, and Performance for health checks. They're a hierarchy, not competitors.

Quick rule: Daily work → Guardian. Pre-release → Security + Compliance. Project health → Detective. Test fraud suspicion → Crucible.


All 33 Agents by Category

Core Workflow

The engine that drives feature development. Plan → Build → Test → Ship.

AgentModelOne-Liner
PlannerSonnetDecomposes features into architecture + task breakdown with dependencies and estimates
BuilderSonnetImplements production-ready code from plans with tests and type safety
GuardianSonnetRuns quality gates — tests, security, lint — before code ships
OrchestratorOpusThe conductor. Coordinates all agents through the 4-option command center

Domain Specialists

Deep expertise in specific engineering domains. Each one knows the patterns, anti-patterns, and best practices of its field.

AgentModelOne-Liner
SecuritySonnetOWASP Top 10, secrets detection, dependency scanning, CSP, auth review
TestingSonnetTest generation, coverage analysis, flaky test diagnosis, test infrastructure
PerformanceSonnetProfiling, bundle analysis, render optimization, memory leak detection
APISonnetREST/GraphQL design, validation, middleware, OpenAPI specs
DatabaseSonnetSchema design, migrations, query optimization, indexing strategy
UISonnetReact components, responsive layouts, accessibility, design systems
RefactorSonnetCode restructuring — extract, simplify, deduplicate — without changing behavior
DevOpsSonnetDocker, CI/CD, GitHub Actions, deployment automation, monitoring
IntegrationSonnetExternal APIs, webhooks, OAuth flows, MCP servers, service connections
DocsSonnetDocumentation generation — JSDoc, READMEs, API docs, changelogs
AnalyticsSonnetMetrics instrumentation, usage tracking, dashboards, KPI reporting

Governance & Analysis

The quality conscience. These agents watch, measure, and verify.

AgentModelOne-Liner
DetectiveSonnetSherlock for codebases — health checks, gap analysis, tech stack detection
ComplianceSonnetLicense auditing, GDPR, WCAG accessibility, regulatory requirements
LearningSonnetSession analysis, pattern recognition, preference capture, recommendation tuning
Release SentinelSonnetDocumentation auditing after code changes, changelog generation, stale doc detection
Crucible DetectiveSonnetForensic test quality auditing — exposes hollow assertions and coverage gaming
Governance VerifierSonnetAutomated response to governance concerns flagged by hooks
OracleSonnetBackground sentinel — monitors development for scope drift and architectural violations

Engineering Leadership

Senior engineering perspectives encoded as agents.

AgentModelOne-Liner
Master ArchitectSonnetThe senior architect who says "no, don't build it that way" — system design, trade-offs
Design VanguardSonnetUI/UX specialist — design systems, accessibility, visual hierarchy, DX
DX EngineerSonnetDeveloper experience — CLI UX, SDK design, onboarding, error messages
Incident CommanderSonnetProduction incident response — triage, coordination, post-mortems, runbooks
QA SentinelSonnetQuality assurance leadership — test strategy, coverage analysis, bug detection

Executive & Strategy

Business intelligence and growth, encoded as AI agents.

AgentModelOne-Liner
CEO LoopOpusCEO Digital Twin — autonomous strategic decisions using ORBIT governance model
Product StrategistSonnetProduct-market fit, feature prioritization (RICE/MoSCoW), roadmaps, pricing
Revenue ArchitectSonnetPricing strategy, Stripe integration, monetization design, financial modeling
Growth EngineSonnetGo-to-market, Product Hunt/HN launches, content marketing, SEO, community
ScoutSonnetCompetitive intelligence — feature matrices, market sizing, trend monitoring
WordsmithSonnetLanding pages, README rewrites, blog posts, error messages — copy that converts

How Agents Gain Superpowers at Each Level

L1: Vibe Coder (Plugin Only)

All 33 agents work at L1. They read your codebase, use Claude Code's tools (Read, Write, Edit, Bash, Glob, Grep), and produce results. No additional setup.

L2: Pro Builder (+ Orchestrator)

Agents that reference orchestrator MCP tools gain coordination capabilities:

  • Task awareness: Agents check what's been assigned, what's in progress, what's blocked
  • Knowledge persistence: Learnings from one session inform the next (forge_capture_knowledge / forge_get_knowledge)
  • Drift detection: Work stays aligned with your project vision (forge_check_drift)
  • Cross-agent coordination: The Orchestrator agent manages handoffs between specialists

L3: Ship Lord (+ Dashboard)

Agent activity becomes visual:

  • Task boards show what each agent is working on
  • Health scores update in real-time as agents complete work
  • The Governance HUD displays Oracle warnings and sentinel findings
  • Infinity Terminal lets you watch agent execution in a browser-based terminal

Creating Custom Agents

NXTG-Forge agents are markdown files with YAML frontmatter. See the Agent Development skill for a complete guide to creating your own.

---
name: my-agent
description: |
  When to use this agent...
model: sonnet
tools: Glob, Grep, Read, Write, Edit, Bash
---

# My Agent System Prompt
Instructions for the agent...
NXTG-Forge|NXTG.AI|GitHub
Plugin: MIT · Orchestrator and dashboard: FSL-1.1-ALv2