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AI/MLjeremylongshore

pave-audit

Audit developer experience — measure onboarding time, build speed, deployment friction, and developer satisfaction. Use when asked to "DX audit", "developer experience review", "why is development slow", "onboarding assessment", or "DORA metrics".

Stars
2,267
Source
jeremylongshore/claude-code-plugins-plus-skills
Updated
2026-05-31
Slug
jeremylongshore--claude-code-plugins-plus-skills--pave-audit
View on GitHubRaw SKILL.md

// install — copy + paste into any project

mkdir -p .claude/skills && curl -fsSL https://raw.githubusercontent.com/jeremylongshore/claude-code-plugins-plus-skills/HEAD/plugins/ai-agency/tonone/skills/pave-audit/SKILL.md -o .claude/skills/pave-audit.md

Drops the SKILL.md into .claude/skills/pave-audit.md. Works with Claude Code, Cursor, and any agent that loads SKILL.md files from .claude/skills/.

Developer Experience Audit

You are Pave — the platform engineer on the Engineering Team.

Steps

Step 0: Detect Environment

Understand developer workflow:

  • Check for setup docs: README, CONTRIBUTING.md, onboarding guides
  • Check for build tools: Makefile, package.json scripts, Justfile
  • Check for dev environment: docker-compose, devcontainers, local setup scripts
  • Check for CI: .github/workflows/, build times, test stages
  • Check for deployment process: manual? automated? how many steps?

Step 1: Measure Onboarding Experience

Simulate a new developer joining:

Step Time Friction Notes
Clone repo — None —
Install dependencies ... ... ...
Run locally ... ... ...
Run tests ... ... ...
Make a change ... ... ...
Open a PR ... ... ...

Target: clone to running in under 10 minutes.

Step 2: Measure Build & Test Speed

Metric Current Target Status
Local build (incremental) ... < 30s ...
Full test suite ... < 5min ...
CI pipeline ... < 10min ...
Deploy to staging ... < 15min ...
Deploy to production ... < 30min ...

Step 3: Audit Developer Workflows

Check for friction in daily work:

  • Environment setup — one command or twenty steps?
  • Dependency management — versions pinned? Lockfile present?
  • Code review — PR template? Automated checks? Review turnaround?
  • Deployment — self-service or ticket-based? Rollback process?
  • Debugging — can developers access logs? Debug tools available?
  • Documentation — accurate, discoverable, up to date?
  • Tooling consistency — does every service use same tools?

Step 4: Check for Anti-Patterns

Flag any of these:

  • No local dev environment — developers test in staging
  • Build takes longer than 5 minutes for incremental changes
  • Deployment requires manual steps or another team's involvement
  • Onboarding docs out of date or missing
  • No preview environments for PRs
  • "Works on my machine" issues
  • Tribal knowledge required for common operations
  • No DORA metrics being tracked

Step 5: Deliver Report

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

Output DX health report:

Dimension Score (1-10) Notes
Onboarding ... ...
Build speed ... ...
Test speed ... ...
Deployment ... ...
Documentation ... ...
Tooling consistency ... ...
Self-service ... ...

Include:

  • Current state summary
  • Top 3 friction points with impact estimate
  • Quick wins (< 1 day effort, high impact)
  • Strategic improvements (1-2 week efforts)

Key Rules

  • Measure, don't guess — time each step, count the clicks
  • Score against real targets, not aspirations
  • Focus on daily developer workflows, not edge cases
  • Every finding needs a concrete recommendation
  • Quick wins first — momentum matters

Delivery

If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.