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manastalukdarmanastalukdar/ai-devstudio/skills/devex-review/SKILL.md

devex-review

Skill1 starsChanged 7 months agoMITView on GitHub

Audit the developer experience of your project — setup friction, onboarding clarity, local dev loop speed, tooling consistency, and documentation gaps. Produces a DX scorecard and prioritized improvement list. Inspired by gstack's devex-review skill.

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26 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

2 rules. 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 19 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Early exit: If no package.json, Makefile, pyproject.toml, or similar project manifest is found, report "No project manifest found — cannot …

    line 17
  2. Distinctive:

    Do setup failures produce helpful error messages?

    line 93

“Common” is measured: kept by at least 6 in 10 of the 19 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

DevEx Review

I'll audit your project's developer experience end-to-end: setup friction, onboarding, local dev loop, tooling consistency, documentation gaps. You get a scored DX report and a ranked list of quick wins. Inspired by gstack's devex-review skill.

Token Optimization

Expected range: 400–1,000 tokens (full audit), 50 tokens (no project structure found)

Patterns used: Bash for file discovery, Grep-before-Read, progressive disclosure (scores → details on request)

Early exit: If no package.json, Makefile, pyproject.toml, or similar project manifest is found, report "No project manifest found — cannot audit DX" and stop.

Step 1 — Discover Project Structure

# Detect project type and manifest files
ls -la package.json pyproject.toml Cargo.toml go.mod Makefile Dockerfile \
   README.md CONTRIBUTING.md .env.example .envrc 2>/dev/null

# Check for common dev tooling
ls -la .github/workflows/ .circleci/ .gitlab-ci.yml \
   .editorconfig .prettierrc .eslintrc* .flake8 2>/dev/null

# Check dev setup scripts
ls -la scripts/ bin/ Makefile 2>/dev/null | head -20

# Local dev loop — what commands exist?
if [ -f package.json ]; then
    node -e "const p=require('./package.json'); console.log(JSON.stringify(Object.keys(p.scripts||{})))" 2>/dev/null
fi
if [ -f Makefile ]; then
    grep "^[a-zA-Z].*:" Makefile | head -20
fi

Step 2 — Evaluate Eight DX Dimensions

Score each dimension 1–5 (5 = excellent, 1 = painful).

D1 — First-Run Setup (weight: high)

  • Is there a README.md with setup steps? (no README → 1)
  • Does README have a "Getting Started" or "Quick Start" section?
  • Are prerequisites listed (Node version, Python version, etc.)?
  • Is there a setup script (make setup, npm run bootstrap, etc.)?
  • Does .env.example exist with all required variables documented?

Score signals: README + setup script + .env.example = 5; bare README only = 2; nothing = 1

D2 — Local Dev Loop Speed (weight: high)

  • Is there a dev/start/watch command with hot reload?
  • Is the build incremental (webpack HMR, vite, turbowatch, etc.)?
  • Are there known slow steps (full rebuild on every change)?
  • Is there a documented way to run a single test file?

D3 — Onboarding Documentation (weight: medium)

  • Is there a CONTRIBUTING.md?
  • Are architecture decisions documented (docs/, ADRs/, comments in key files)?
  • Is the project purpose stated clearly in the first 100 words of README?
  • Are external dependencies explained (why Redis? why Postgres vs SQLite?)?

D4 — Test Feedback Loop (weight: medium)

  • Is there a test runner configured (npm test, pytest, cargo test)?
  • Can tests be run in watch mode?
  • Is test output human-readable (not just exit codes)?
  • Is coverage reported?

D5 — Tooling Consistency (weight: medium)

  • Is there a formatter configured (Prettier, Black, rustfmt)?
  • Is there a linter configured (ESLint, flake8, clippy)?
  • Are these run in CI (.github/workflows/)?
  • Is there an .editorconfig for editor-agnostic style?

D6 — Environment Reproducibility (weight: medium)

  • Is there a lockfile (package-lock.json, poetry.lock, Cargo.lock)?
  • Is there a .nvmrc, .python-version, or rust-toolchain.toml?
  • Is there a Dockerfile or docker-compose.yml for consistent env?
  • Are environment-specific configs separated from code?

D7 — Error Clarity (weight: low)

  • Do setup failures produce helpful error messages?
  • Are common setup errors documented in README/CONTRIBUTING?
  • Is there a make doctor or similar diagnostics command?

D8 — Dependency Freshness (weight: low)

# Check for stale lockfiles or missing updates
if [ -f package.json ]; then
    npm outdated 2>/dev/null | head -10 || echo "(npm not available)"
fi

Step 3 — Produce DX Scorecard

DX Review — <project-name> — <date>

Dimension                    Score   Weight    Weighted
─────────────────────────────────────────────────────
D1 First-Run Setup            4/5    high       8/10
D2 Local Dev Loop Speed       3/5    high       6/10
D3 Onboarding Documentation   2/5    medium     4/8
D4 Test Feedback Loop         4/5    medium     6/8 (not configured)
D5 Tooling Consistency        5/5    medium     6/8
D6 Environment Reproducibility 3/5   medium     4/8
D7 Error Clarity              2/5    low        2/4
D8 Dependency Freshness       4/5    low        3/4
─────────────────────────────────────────────────────
Overall DX Score: 72/100  (Good — room for improvement)

DX Grade:

  • 90–100: Excellent — world-class DX
  • 75–89: Good — minor friction points
  • 60–74: Adequate — noticeable pain for new contributors
  • Below 60: Needs work — onboarding is a barrier

Step 4 — Quick Win Recommendations

Rank by (impact × effort⁻¹):

Quick Wins (high impact, low effort):
  1. Add .env.example with all variables documented [D1 +1 point, ~15 min]
  2. Add "Getting Started in 5 minutes" to README [D3 +1 point, ~30 min]
  3. Add `make doctor` to check prerequisites [D7 +2 points, ~1 hour]

Bigger Wins (high impact, higher effort):
  4. Configure Prettier + ESLint with pre-commit hook [D5 +2 points, ~2 hours]
  5. Add watch mode to test runner [D4 +1 point, ~1 hour]

Low Priority:
  6. Pin Node version in .nvmrc [D6 +0.5 points, ~5 min]

Edge Cases

  • Monorepo: audit each package's DX separately if they diverge significantly; flag inconsistencies
  • Internal tool: weight D3 (docs) lower if there's only one consumer team
  • Open source project: weight D1 and D3 higher (contributor onboarding is critical)
  • Greenfield: some dimensions may be N/A; exclude from score rather than penalizing
  • CI not present: note it as a gap but don't fail the audit

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