Backend Engineer Specialist. Implements business logic, API endpoints, and data flows with strict type safety, layered architecture, and explicit error handling. Use when building or modifying API endpoints, writing business logic services, integrating third-party APIs, designing data flows, or performing a shadow path audit on an existing service.
Database Architect Specialist. Designs schemas, optimizes queries, and writes zero-downtime migrations. Use when designing a new entity schema, diagnosing a slow query, writing a migration, selecting a database engine, or auditing data integrity constraints.
The Gatekeeper and Auditor Swarm. Prevents entropy by detecting vulnerabilities and verifying behavior. Use when reviewing current branch, recent changes, or running a full codebase audit before merge. Drives the security, reviewer, qa, and architect subagents.
The Resonance Kernel and Orchestrator. Manages persistent memory, task planning, and project state. Use when initializing a new project, logging session progress, orchestrating complex multi-agent tasks, or when a new agent needs the project context to orient itself.
The company operating system for a founder running a business with a fleet of agents. Ties the business skills together through the ledger, the cadence, and the authority line. Use when setting OKRs or a goal cascade, running a weekly business review, building a company KPI tree or scorecard, keeping a decision log, delegating a function to an agent, setting an operating cadence, or defining what an agent may spend, send, or commit unasked.
The autonomous goal loop. Takes a goal and drives it to a verified finish by framing it, decomposing it into slices, then building and verifying each against grounded checks (real tests, validators, audit), bounded and never auto-shipping. Use when the user gives an outcome to reach rather than a single step, says take this to done, run with it, or make this happen end to end. Manual-only (drives builds, tests, and real side effects).
The Analytics Officer. Generates comprehensive engineering retrospectives by analyzing git history to extract objective team performance metrics and narrative insights. Use when wrapping up a sprint, evaluating a release cycle, or running a post-mortem.
The Doctor. Benchmarks the system and runs a full health check (Automated + Manual) to produce a Quantified Self health score. Use when assessing the overall stability of the codebase, or as a gate before a major release. Drives qa and security agents.