Commit Message Generator (Grade A)Απασφαλισμένη ανάπτυξη δεσμού για Claude AI. Α'. Γενίκευστε δομημένα μηνύματα συνεισφορών σύμφωνα με το Conventional Commits. Χρησιμοποιήστε όταν ο χρήστης ζητήσει να γράψει ένα μήνυμα συνεισφοράς

What You Can Customize?

You can customize project identity (name, description, repo URL), tech stack (languages, frameworks, tools), directory paths, business domain entities, code patterns, testing quality gates, database conventions, internal package scopes, and Git/workflow conventions such as branch prefixes and commit formats.

Asked by Petros Georgiou · Oct 11, 2025

Why You Should Use This?

Individuals save over 30% token usage, avoid repeating standards, gain security guardrails, and get instant scaffolding. Teams benefit from consistent AI behavior, rapid onboarding, codified patterns, and compounded cost savings. Organizations get always-on compliance, uniform standards across many projects, central governance, and measurable ROI.

Asked by Salome Beridze · Oct 12, 2025

What it detects?

It detects language files like tsconfig.json, go.mod, Cargo.toml, requirements.txt, pom.xml, and file extensions. It also identifies frameworks from dependencies in package.json or requirements.txt (e.g., React, Express, Django, Spring), database configurations (ORM configs, .sql files, migration folders), testing setups (jest, vitest, pytest, cypress, playwright), infrastructure files (Dockerfile, terraform, cdk.json, serverless.yml), and CI/CD pipelines (.github/workflows, .gitlab-ci.yml, Jenkinsfile).

Asked by Xavier Costa · Sep 24, 2025

What's Inside?

The tool includes multiple layers: 47 always-on rules that enforce coding standards, 62 agents for complex tasks, 50 skills that provide guided workflows, 37 commands for quick actions, 12 hooks for automation scripts, and 9 templates for scaffolding handlers, components, and tests.

Asked by Katarzyna Zielinska · Jul 29, 2025

How It Works?

Layer 1 — Pre-Processing: Hooks inject project context and block dangerous commands before your prompt reaches the AI. Layer 2 — Rules Engine: 47 always-on rules enforce token efficiency, security, architecture, code standards, database conventions, and testing thresholds. Layer 3 — Specialized Processing: The right component activates — an agent, skill, or command — based on your prompt. Layer 4 — Post-Processing: Hooks validate output, auto-format, scan for secrets, and verify coverage.

Asked by Mustafa Yilmaz · Jul 14, 2025