Verification gates for AI coding agents — nothing ships unproven. Falsifiable oracle gates, team wall, receipts. Works with Claude Code today; Cursor, Codex, Gemini CLI & every git repo next.
Agent
Read-only architecture and planning specialist. Analyzes codebase structure, identifies patterns and risks, designs solutions, and emits machine-readable plans (PLAN files + waves.json) with runnable acceptance criteria. Use proactively before any change touching 3+ files, any new system, or when the implementation…
Agent
Feature implementation specialist. Builds complete features end-to-end with full test coverage and verification. Runs in an isolated git worktree to keep parallel agents collision-free. Use proactively when implementing new functionality, fixing bugs that need code changes, or making any code modification beyond…
Agent
Database design agent. Schema modeling, migration strategy, query optimization, technology evaluation. Use when task involves data layer, models, or persistence.
Agent
UI/UX design agent. Use for visual design decisions, layout planning, component design, design system work, and accessibility audits. Integrates with design-for-ai skills when available.
Agent
Documentation agent. Use for writing and updating documentation, README files, API docs, and keeping docs in sync with implementation changes.
Agent
Bug fixer agent. Picks up open GitHub issues labeled 'bug' or 'seeker', creates a fix branch, implements the fix, runs tests, and raises a PR. Use for automated bug fixing from issue queue.
Agent
Autonomous superskill manager. Use proactively for any multi-step development task. Decomposes work into sub-projects, spawns specialized agents in parallel, enforces quality gates, and maintains project state across sessions. Thinks like a CTO.
Agent
Production incident response agent. Root cause analysis, observability-driven debugging, rollback strategy, blameless postmortem. Use when production is broken or errors are spiking.
Agent
Lint and static analysis agent. Use for enforcing code style, running linters, and checking for common code quality issues. Fast and mechanical.
Agent
Creates verified execution plans with acceptance criteria that block progression. Decomposes work into dependency-ordered waves of parallel tasks with grep-verifiable or command-runnable criteria.
Agent
Code review agent. Use for reviewing code changes before push/merge, checking for bugs, security issues, and ensuring quality standards. Mandatory before any push.
Agent
Security assessment agent. Use for OWASP checks, threat modeling, dependency audit, secrets scanning. Spawn it whenever a task touches auth, secrets, user input or dependencies — no code spawns it for you, so the orchestrator has to decide. Reports vulnerabilities with severity + fix recommendations.
Agent
Bug seeker agent. Pulls fresh logs from Kubernetes pods, analyzes for errors/crashes/anomalies, and raises GitHub issues with reproduction steps. Use when monitoring production or running maintenance sweeps.
Agent
Test writing and execution agent. Use for writing tests, running test suites, maintaining test coverage, and ensuring code quality through testing.
Agent
Post-execution verification agent. Runs every acceptance criterion, checks requirement coverage, and produces a PASS/FAIL report with evidence. Never skips a criterion.
Agent
Executes all tasks in a single wave of a plan. Implements, verifies acceptance criteria, and commits atomically. Spawns parallel subprocesses for independent tasks within the wave.