Prompt Engineering (Grade A)Zekerheidstesteerde ontwikkelingsvaardigheid voor Claude AI. Grade A. Effectieve prompts en instructies ontwerpen voor AI-code-assistenten.

Why You Should Use This?

| Audience | Key Benefits | | -------------------- | ------------------------------------------------------------------------------------------------- | | Individual | 30%+ token savings, stop repeating standards, security guardrails, instant scaffolding | | Teams | Consistent AI behavior, day-one onboarding, codified patterns, compounding cost savings | | Organizations | Always-on compliance, same standards across 1,000 projects, central governance, measurable ROI |

Asked by Amara Chukwu · Jul 21, 2025

What You Can Customize?

| Section | What It Controls | Example | | ------------- | -------------------------- | ---------------------------------------------- | | project | Project identity | Name, description, repo URL | | techStack | Language, framework, tools | TypeScript + Express or Python + FastAPI | | paths | Directory structure | Where handlers, services, and common code live | | domain | Business entities | Order, Product, Customer + lifecycle states | | patterns | Code patterns | 7-step handler flow, error handling strategy | | testing | Quality gates | 90% coverage, test/lint/type-check commands | | database | DB conventions | Soft delete field, timestamp columns, naming | | packages | Internal packages | @your-org scope, registry URL | | conventions | Git and workflow | Branch prefixes, commit format, PR templates |

Asked by Petra Vogel · Jul 10, 2025

What it detects?

Category | Signals ------------------ | ------------------------------------------------------------------------------------------ Language | tsconfig.json, go.mod, Cargo.toml, requirements.txt, pom.xml, file extensions Framework | Dependencies in package.json / requirements.txt (React, Express, Django, Spring, etc.) Database | ORM configs (prisma/, sequelize, typeorm), .sql files, migration folders Testing | jest.config., vitest, pytest, cypress/, playwright.config. Infrastructure | Dockerfile, terraform/, cdk.json, serverless.yml, cloud SDK deps CI/CD | .github/workflows/, .gitlab-ci.yml, Jenkinsfile

Asked by Hiroshi Tanaka · Jul 2, 2025

What's Inside?

Layer | Count | What It Does | How It's Triggered ------------- | ----- | ------------------------------------------------- | ----------------------------------- Rules | 47 | Enforces coding standards on every AI interaction | Automatically — always on Agents | 62 | Specialized assistants for complex tasks | On demand — /agent-name Skills | 50 | Step-by-step guided workflows with checklists | Contextually — when patterns match Commands | 37 | Lightweight, token-efficient quick actions | On demand — /command Hooks | 12 | Automation scripts in the AI loop | Event-driven — before/after actions Templates | 9 | Scaffolding for handlers, components, tests, etc. | Referenced by skills and agents

Asked by Oksana Melnyk · Jun 7, 2025

Hoe werkt het?

Laag 1 — Pre-Processing: Hooks voegen projectcontext toe en blokkeren gevaarlijke commando's voordat je prompt de AI bereikt. Laag 2 — Rules Engine: 47 altijd-aan regels handhaven token-efficiëntie, veiligheid, architectuur, code-standaarden, database-conventies en testdrempels. Laag 3 — Gespecialiseerde verwerking: De juiste component wordt geactiveerd — een agent, vaardigheid of commando — op basis van je prompt. Laag 4 — Post-Processing: Hooks valideren de output, formatteren automatisch, scannen op geheimen en verifiëren op dekking.

Asked by Dara Fitzgerald · May 30, 2025