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.
Adopted by
Most recently taken up by
- timurgaleev/vibestacktheir own version, first seen Nov 8, 2026
- trungtm78/ClaudeSkillstheir own version, first seen Oct 25, 2026
- thedigitalorganizer/soloshiptheir own version, first seen Oct 15, 2026
- ignavm1/claude-skillstheir own version, first seen Oct 13, 2026
- leishifu666/skillstheir own version, first seen Oct 9, 2026
- chriswestt/claude-skillstheir own version, first seen Oct 9, 2026
Used with
Projects with it also use ios-clean, ios-fix and 9 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
Saqlain-811Skillios-clean
Remove the DebugBridge SPM package and all #if DEBUG wiring from an iOS app. (gstack)
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Saqlain-811Skillios-fix
Autonomous iOS bug fixer. (gstack)
Also in 5 projects that use this
ShreyRaviSkilllanding-report
Read-only queue dashboard for workspace-aware ship. Shows which VERSION slots are currently claimed by open PRs, which sibling Conductor workspaces have WIP work likely to ship soon, and what slot /ship would pick next. No mutations — just a snapshot. Use when asked to "landing report", "what's in the queue", "show me open PRs", or "which version do I claim next". (gstack)
Also in 8 projects that use this
timurgaleevSkilldocument-generate
Generate missing docs for a feature, module or project as tutorials, how-tos, reference and explanation.
Also in 7 projects that use this
ShreyRaviSkillsetup-gbrain
Set up gbrain for this coding agent: install the CLI, initialize a local PGLite or Supabase brain, register MCP, capture per-remote trust policy. One command from zero to "gbrain is running, and this agent can call it." Use when: "setup gbrain", "connect gbrain", "start gbrain", "install gbrain", "configure gbrain for this machine". (gstack)
Also in 6 projects that use this
bastosSkillios-design-review
Review iOS app UI/UX design quality using Apple's design principles and the Liquid Glass-era design language from WWDC25/26. Use when asked for a design review, UX critique, visual design assessment, or evaluation of an app's interface quality, design intent, alignment with the new Apple design system, or usability. Triggers: "design review", "UX review", "visual design critique", "review the UI", "does this design work", "evaluate this interface", "design feedback", "Liquid Glass review".
Also in 5 projects that use this
- +2 more from Saqlain-811
- +3 more from ShreyRavi
Other versions26 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 26
- garrytan/gstack★ 141ksame name
- timurgaleev/vibestack★ 8same name
- cogine-ai/cogine-dev-skillset★ 4same name
- aryaniyaps/dot-ai★ 1same name
- chloropine/cgstack★ 1same name
- IyedBecheikh/bstack★ 1same name
- jpoindexter/theft-kit★ 1same name
- leishifu666/skills★ 1same name
- mahiunfiltered/claude-code-skills★ 1same name
- napnap11/claude-skills★ 1same name
16 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository206 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- project-healthSkill
- skill-validatorSkill
- accessibilitySkill
- agent-debugSkill
- agent-evaluateSkill
- ai-governanceSkill
- ai-system-reviewSkill
- api-docs-generateSkill
- api-examplesSkill
- api-mockSkill
- api-test-generateSkill
- api-validateSkill
- architecture-diagramSkill
- ask-mattSkill
- assumption-mapSkill
- boilerplateSkill
- brainstormSkill
- branch-finishSkill
- briefingSkill
- browser-testing-with-devtoolsSkill
- bundle-analyzeSkill
- cache-strategySkill
- canarySkill
- carefulSkill
- cavemanSkill
- changelog-autoSkill
- chaos-testSkill
- ci-setupSkill
- ci-sweepSkill
- cleanprojectSkill
- click-path-auditSkill
- codebase-designSkill
- code-review-checklistSkill
- code-tourSkill
- commitSkill
- completion-verifySkill
- complexity-reduceSkill
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- config-cleanupSkill
- config-generateSkill
- conflict-resolveSkill
- container-optimizeSkill
- context-budgetSkill
- context-engineeringSkill
- context-restoreSkill
- context-saveSkill
- continuous-learningSkill
- contributingSkill
- cost-trackSkill
- councilSkill
- create-todosSkill
- cross-modal-reviewSkill
- database-connectSkill
- db-diagramSkill
- ddd-modelSkill
- debug-root-causeSkill
- debug-sessionSkill
- debug-systematicSkill
- The first 60 shown.
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
- Very specific: line 17
Early exit: If no package.json, Makefile, pyproject.toml, or similar project manifest is found, report "No project manifest found — cannot …
- Distinctive: line 93
Do setup failures produce helpful error messages?
“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.
Files
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
fiStep 2 — Evaluate Eight DX Dimensions
Score each dimension 1–5 (5 = excellent, 1 = painful).
D1 — First-Run Setup (weight: high)
- Is there a
README.mdwith setup steps? (no README → 1) - Does
READMEhave 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.exampleexist 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/watchcommand 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
.editorconfigfor 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, orrust-toolchain.toml? - Is there a
Dockerfileordocker-compose.ymlfor 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 doctoror 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)"
fiStep 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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