Six skills · one pipeline

From idea to trusted, verified code

Ask an AI to build the same thing twice and you'll get two different answers. That doesn't cut it for production software. Deep Skills plans, reviews, implements, and proves your work - so what you hand off is code you can stand behind.

Where it comes from

Built by people who ship software for a living

Deep Skills comes from reUrgency - engineers and architects who have spent twenty years building enterprise software, from startups to Fortune 50 teams, around one promise: better software, faster.

Two decades of SDLC

The craft here is the software development lifecycle itself. Every skill encodes practices that survived twenty years of real delivery - not patterns invented for a demo.

Software that builds software

The last several years went into AI systems that write production code. Deep Skills is what that work distilled into: hundreds of small refinements, each kept only after it proved out.

Human where it matters

Every workflow is sorted by one hard question: where can the agent run on its own, and where is your judgment critical? You control the inputs that matter; the pipeline carries the rest.

The result: reliable, repeatable output from a system that learns your codebase - better software, faster, with less of it living in your head.

Why it works

Built for trust, not just output

Four design decisions run through every skill in the series - each one exists to make the code you ship more defensible.

One skill, one job

No do-everything agent quietly cutting corners. Each skill does exactly one thing - plan, review, implement, verify, fix, or document - so every step is predictable, inspectable, and easy to rerun on its own.

Pick up anywhere, anytime

Every stage hands off a self-contained artifact a fresh agent can continue cold - no conversation history required. Close the laptop mid-effort and resume tomorrow, or hand the whole thing to a teammate.

Review with fresh eyes

Authors are too close to their own work to see its blind spots. Reviews run in fresh agents that never see the upstream conversation - independent critique is where the catches come from.

Evidence, not vibes

The system hunts the last mile - code that looks wired but doesn't actually behave. Every finding must cite evidence: a file and line, a named symbol, or an observed behavior. No hand-waving.

The pipeline

One clean idea → merge loop

Each skill hands a self-contained artifact to the next, with a tight review → fix → re-review loop before anything ships.

plan plan-review implement code-review bugfix docs

Bring your own assistant

Works where you already work

The same six skills install natively on every major coding assistant. Slash commands where supported - plain English everywhere.

  • Claude Code
  • Codex
  • Cursor
  • GitHub Copilot

See install instructions for your host →