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21 skills · 13 rules · 3 integrations

Production-ready changes, without lowering the bar.

Built for engineers shipping real systems in Cursor.

Turn tickets into reviewed, tested, deployable changes with technical gap analysis, enforced TDD, CI checks, and release safety gates.

Early access for engineers shipping production systems

Product updates only. Unsubscribe anytime.

Why AI coding still slows senior engineers down

The issue is rarely code generation. It is the missing context, weak guardrails, and manual handoffs around it.

Context resets every session

Architecture decisions, conventions, and repo-specific rules disappear between chats. Engineers waste time re-explaining the system before real work even starts.

Outputs fail under production constraints

Missing tests, edge cases, and release checks turn fast output into risky changes. Code can look correct in the editor and still break when it hits production workflows.

You become the integration layer

Tickets, branches, prompts, CI, and review still have to be stitched together by hand. The engineer ends up managing the process instead of moving the change forward.

How it actually works

Three steps, one repeatable path from ticket to production-ready change.

Step 1

Start from a real ticket

Capture the change in Linear with requirements, acceptance criteria, and the engineering context you already have.

Step 2

Plan with engineering context

Technical gap analysis, dependency tracking, and scope checks make the work easier to review before implementation.

Step 3

Ship with guardrails

TDD, CI, MR, and release safety gates keep the path consistent. You review and approve before anything ships.

See it in action

One ticket. Zero manual work.

Drop a ticket. Get a PR. Automatically.

getskills — cursor agent

You type

❯_ plan GS-47

ticket

Add rate limiting to

POST /api/webhooks

Max 100 req/min per tenant.

Return 429 on breach.

❯_ orchestrate GS-47

Agent does

── Plan ─────────────────
Codebase explored found existing middleware & tenant model
Gap analysis ticket didn’t mention auth — flagged
Plan written 6 todos · synced to Linear
── Implement ────────────
Tests written 3 failing → 3 passing (TDD)
Implementation done src/middleware/rateLimiter.ts
── Ship ─────────────────
Lint + type-check clean
MR opened !47 · monitoring CI…
CI green all checks passed · ready for review
Your turn: review the diff.

Real output. Real tools. You were busy doing something else.

For engineers who:

  • Ship production code, not demos
  • Need speed without giving up reviewability or quality
  • Work across tickets, branches, CI, and releases every day

If your workflow already spans Linear → git → Cursor → CI → review, this keeps the path consistent without lowering engineering standards.

Built for production delivery

A workflow system for engineers who need tested, reviewable, deployable changes on real projects.

21

Skills

plan · implement · create-mr · release…

13

Rules

tdd-enforcement · quality-hooks · git-workflow…

3

Integrations

Cursor · Linear · GitLab

Planning that catches gaps

Technical gap analysis draws from real production concerns — auth flows, data paths, error boundaries, and caching behavior before the work reaches review.

Dependencies that don’t surprise you

Scope overlap detection and dependency ordering keep changes sequenced, reviewable, and easier to ship across larger codebases.

Releases you can trust

TDD-enforced implementation, CI monitoring, GitLab MR creation, and production deploy safety gates keep every release on the same path.

Cross-session memory. Conventional commits. Git worktrees. Quality hooks. Enforced so every change follows the same standard.

Founding cohort

Join the first engineer cohort.

Join early if you are using Cursor on real projects and want a more reliable path from ticket to tested PR. Early users help shape the workflow and get the fastest feedback loop.

Product updates only. Unsubscribe anytime.

Founding pricing Direct feedback loop Priority onboarding