Project automation
Skill PIXARTSeu/Synapse/packages/codegraph/data/skill/project-automation
4-layer project automation system - Husky pre-commit, GitHub Actions CI/CD, n8n monitoring, check scripts. Use when setting up project automation, configuring pre-commit hooks, establishing CI/CD pipelines, or adding quality checks.From its SKILL.md
npx -y skills add PIXARTSeu/Synapse --skill project-automationAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
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SKILL.md
4.7 KB, ~1.3k tokens by cl100k_base, as published. Nobody here has run it
Project Automation Skill
Sistema di automazione a 4 layer per quality assurance su progetti client Pixarts.
I 4 Layer
Layer 1: PRE-COMMIT → Ogni commit → Husky + lint-staged
Layer 2: CI/CD → Ogni push/PR → GitHub Actions
Layer 3: MONITORING → Ogni 6 ore → n8n workflows
Layer 4: ON-DEMAND → Quando serve → @project-checker (AI)
Layer 1: Pre-commit (Husky + lint-staged)
Cosa blocca: errori TypeScript, lint violations, codice non formattato.
Quando gira: prima di ogni git commit.
Setup
npm install -D husky lint-staged
npx husky init
Crea .husky/pre-commit:
npx lint-staged
Crea lint-staged.config.mjs:
export default {
'*.{ts,tsx}': [
'eslint --fix',
() => 'tsc --noEmit',
],
'*.{ts,tsx,js,jsx,json,css,md}': [
'prettier --write',
],
};
Aggiungi a package.json:
{
"scripts": {
"prepare": "husky"
}
}
Layer 2: CI/CD (GitHub Actions)
Cosa controlla: build, lint, type check, security audit, Lighthouse. Quando gira: ad ogni push su main/develop e ad ogni PR.
File: .github/workflows/ci.yml
Template in .Claude/templates/project-automation/.github/workflows/ci.yml
Jobs:
quality— TypeScript check, lint, project checker script, buildsecurity— npm audit per vulnerabilità critichelighthouse— Solo su PR, misura performance/a11y/SEO con budget
Lighthouse Budget
Template in .Claude/templates/project-automation/lighthouse-budget.json
Target:
- LCP < 2.5s
- FCP < 2s
- TTI < 5s
- JS bundle < 300KB
- Total < 1.5MB
Layer 3: Monitoring (n8n)
Cosa controlla: uptime, SSL, response time, sitemap, robots.txt. Quando gira: ogni 6 ore automaticamente.
Workflow n8n
Template in .Claude/templates/project-automation/n8n-monitoring-template.json
Checks:
- Health endpoint (
/api/health) → sito up? - SSL → certificato valido?
- Response time homepage → < 3 secondi?
- Sitemap.xml → esiste e risponde 200?
- Robots.txt → esiste?
Alert: email (o Slack) se qualsiasi check fallisce.
Setup
/n8n crea workflow monitoring per sito [NOME_CLIENTE] su [URL]
Oppure importa il template JSON in n8n manualmente.
Layer 4: On-demand (@project-checker AI)
Cosa controlla: tutto quello che gli script non coprono — qualità copy, UX review, suggerimenti architetturali, auto-fix intelligente.
Quando gira: su richiesta con /check.
Uso
/check → auto-detect progetto
/check project → solo progetto client
/check system → solo configurazione OpenCode
L'agente:
- Esegue prima
npm run check(script automatico) - Analizza i risultati
- Aggiunge check qualitativi che solo l'AI può fare
- Propone auto-fix con conferma
Template Completo
Tutti i file template si trovano in:
.Claude/templates/project-automation/
├── scripts/
│ └── check-project.mjs → Script Node.js (9 categorie di check)
├── .github/
│ └── workflows/
│ └── ci.yml → GitHub Actions CI
├── lighthouse-budget.json → Budget Lighthouse
├── lint-staged.config.mjs → Config lint-staged
├── husky-setup.sh → Script setup Husky
├── package-scripts.json → Scripts da aggiungere a package.json
└── n8n-monitoring-template.json → Template workflow n8n
Setup per Nuovo Progetto
L'agente @site-scaffolder include automaticamente l'automazione:
1. Copia scripts/check-project.mjs → <progetto>/scripts/
2. Copia .github/workflows/ci.yml → <progetto>/.github/workflows/
3. Copia lighthouse-budget.json → <progetto>/
4. Copia lint-staged.config.mjs → <progetto>/
5. Esegui husky-setup.sh
6. Aggiungi scripts da package-scripts.json al package.json
7. Dopo il deploy: crea workflow n8n di monitoring
npm Scripts Disponibili
| Script | Cosa fa |
|---|---|
npm run check | Esegue tutti i check localmente |
npm run check:fix | Check + auto-fix problemi semplici |
npm run check:ci | Check in CI mode (exit 1 se critici) |
npm run typecheck | Solo TypeScript check |
npm run lint | Solo ESLint |
npm run lint:fix | ESLint + auto-fix |
npm run format | Prettier su tutto il progetto |
npm run format:check | Verifica formatting senza modificare |
npm run audit | npm security audit |
What ships with it: 3 files
2.6 KB alongside SKILL.md
evals/
- evals.json1.4 KB
- trigger_evals.json963 B
- learnings.md232 B