home / skills / 404kidwiz / claude-supercode-skills / dx-optimizer-skill

dx-optimizer-skill skill

/dx-optimizer-skill

This skill helps optimize developer experience end-to-end, focusing on IDP, DORA metrics, and on-call health to boost productivity.

npx playbooks add skill 404kidwiz/claude-supercode-skills --skill dx-optimizer-skill

Review the files below or copy the command above to add this skill to your agents.

Files (1)
SKILL.md
3.1 KB
---
name: dx-optimizer
description: Expert in optimizing the end-to-end developer journey. Specializes in Internal Developer Portals (IDP), DORA metrics, and on-call health. Use when improving developer experience, building internal platforms, measuring engineering productivity, or reducing developer friction.
---

# DX Optimizer

## Purpose
Provides expertise in developer experience optimization, from local development environments to production operations. Covers developer productivity metrics, internal platforms, and reducing friction in software delivery.

## When to Use
- Improving developer experience and productivity
- Building internal developer portals (IDP)
- Measuring DORA metrics
- Optimizing CI/CD feedback loops
- Reducing developer toil
- Improving on-call experience
- Designing self-service platforms

## Quick Start
**Invoke this skill when:**
- Improving developer experience and productivity
- Building internal developer portals
- Measuring DORA metrics
- Optimizing CI/CD feedback loops
- Reducing developer toil

**Do NOT invoke when:**
- Building CI/CD pipelines (use devops-engineer)
- Managing Kubernetes (use kubernetes-specialist)
- Writing documentation (use technical-writer)
- Designing cloud architecture (use cloud-architect)

## Decision Framework
```
DX Improvement Priority:
├── Long CI times → Optimize pipeline, caching
├── Slow local dev → Dev containers, hot reload
├── Deployment friction → Self-service, GitOps
├── Incident fatigue → Runbooks, automation
├── Knowledge silos → Internal docs, IDP
└── Onboarding slow → Golden paths, templates

Metric Focus:
├── Speed → Deployment frequency, lead time
├── Quality → Change failure rate
├── Reliability → MTTR
└── Satisfaction → Developer surveys
```

## Core Workflows

### 1. DORA Metrics Implementation
1. Define measurement methodology
2. Instrument deployment pipeline
3. Track deployment frequency
4. Measure lead time for changes
5. Monitor change failure rate
6. Calculate MTTR
7. Create dashboards and trends

### 2. Internal Developer Portal
1. Audit developer pain points
2. Design service catalog
3. Implement self-service workflows
4. Add documentation integration
5. Create golden path templates
6. Build scaffolding tools
7. Measure adoption

### 3. On-Call Health Improvement
1. Analyze incident patterns
2. Create runbooks for common issues
3. Implement automated remediation
4. Set up proper escalation
5. Balance on-call load
6. Measure and reduce toil
7. Regular retrospectives

## Best Practices
- Measure before optimizing
- Focus on high-impact friction points
- Automate repetitive tasks
- Create golden paths, not mandates
- Survey developers regularly
- Share metrics transparently

## Anti-Patterns
| Anti-Pattern | Problem | Correct Approach |
|--------------|---------|------------------|
| Mandating tools | Developer resistance | Provide value, not mandates |
| Metrics without action | Wasted measurement | Act on insights |
| Ignoring feedback | Wrong priorities | Regular surveys |
| Local-only focus | Deployment pain | End-to-end optimization |
| Over-engineering | Slow delivery | Start simple, iterate |

Overview

This skill provides expert guidance for optimizing the end-to-end developer journey, from local development to production operations. It specializes in Internal Developer Portals (IDP), DORA metrics, and on-call health to reduce developer friction and improve delivery outcomes. Use it to prioritize high-impact changes that increase speed, reliability, and developer satisfaction.

How this skill works

The skill inspects development workflows, CI/CD feedback loops, deployment practices, and on-call processes to identify bottlenecks and measurable improvement opportunities. It recommends concrete interventions—instrumentation for DORA metrics, design and adoption plans for an IDP, and runbooks and automation for on-call health—plus dashboards and measurement plans to track impact. Outputs include prioritized action lists, implementation patterns, and metrics instrumentation guidance.

When to use it

  • Improving developer experience and reducing friction across the delivery lifecycle
  • Designing or maturing an Internal Developer Portal or self-service platform
  • Measuring and improving DORA metrics: deployment frequency, lead time, change failure rate, MTTR
  • Optimizing CI/CD feedback loops and local-to-prod developer workflows
  • Reducing on-call toil and improving incident response and runbook quality

Best practices

  • Measure before optimizing: define methodology and baseline metrics
  • Target high-impact friction points first (slow CI, slow local dev, deployment friction)
  • Automate repetitive tasks and provide self-service golden paths rather than mandates
  • Use dashboards and transparent metrics to drive shared accountability
  • Iterate: start simple, measure impact, and expand solutions based on feedback

Example use cases

  • Audit CI pipeline and recommend caching, parallelization, and test-splitting to cut build time
  • Design an IDP service catalog and golden-path templates to accelerate onboarding and service creation
  • Instrument pipelines to compute DORA metrics and create trend dashboards for leadership
  • Create runbooks and automated remediation for frequent incident types to reduce MTTR
  • Define a developer survey and adoption metrics to measure satisfaction and guide prioritization

FAQ

Can this skill implement CI/CD or Kubernetes changes directly?

The skill provides design, prioritization, and recommendations but is not a hands-on CI/CD or Kubernetes operator. Use specialists for execution.

How do you measure impact after changes?

Establish baseline DORA metrics and adoption KPIs, instrument pipelines and tools, and track trends and developer satisfaction over time.