Visual planning and context control for shipping big apps with AI coding. Build from scratch or map existing repos. Dossier maps user workflows, sets agent context per feature, builds, tests and ships from one interface.
Agent Cursor
Audits the project for poor AI agent behaviors and recommends concrete improvements to make coding workflows more agent-friendly, reliable, and fast. Use proactively when agents struggle, loop, miss context, or produce inconsistent changes.
Agent Cursor
Software architecture lead for hybrid systems using traditional architecture (Next.js + PostgreSQL) and AI-agent-supportive architecture (ruvector). Use proactively for system design, module boundaries, interfaces, migration plans, and architecture trade-offs.
Agent Cursor
Designs and executes efficient cross-project and long-term memory so agents build apps better. Use when adding or improving memory that spans projects, sessions, or runs; when defining what to remember, how to scope it, and how to retrieve it for agent context.
Agent Cursor
GOAL: One document per domain. Minimum tokens for maximum clarity.
Agent Cursor
Verifies the investigation report and implements the fix. Use proactively after an investigation report is produced.
Agent Cursor
investigates a bug to identify root cause and set success criteria for resolution; creates investigation report for fixer agent to guide implementation.
Agent Cursor
Evaluates app fidelity and completion against docs/SYSTEMARCHITECTURE.md and domain references. Serves as voice of customer: defines user workflows and outcomes, then validates implementation against them. Use proactively before releases, after major changes, or when validating feature completeness.
Agent Cursor
Manages and improves the test suite by running targeted and full tests, triaging failures, reducing flakiness, and enforcing coverage and regression protection. Use proactively after code changes.