Claude Code Config

C 61 completed
Framework
unknown / markdown · small
117
Files
16,055
LOC
0
Frameworks
4
Languages

Pipeline State

completed
Run ID
#344269
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
46.67
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #48507
Member of a group with 1 similar repo(s) — canonical #36986 view group →
Top concepts (1)
Configuration
Repobility · code-quality intelligence · https://repobility.com

AI Prompt

Create a comprehensive configuration setup for spec-driven software development, similar to a project scaffolding tool. I need it to define a workflow that guides development through requirements, design, implementation, verification, and finalization. The structure should include specialized agents for roles like architect, tester, and implementers for both frontend and backend. Please ensure the configuration supports multiple tech stacks, specifically mentioning support for React/Next.js for web, React Native for mobile, Python/FastAPI for the backend, and PostgreSQL for the database. The system should also expose slash commands for orchestrating full workflows like feature additions or bug fixes.
configuration spec-driven ai-development workflow typescript react react-native python fastapi postgresql markdown json yaml
Generated by gemma4:latest

Catalog Information

A configuration that enables AI‑driven, spec‑driven software development across design, implementation, testing, and deployment phases.

Description

This configuration provides a framework for spec‑driven development, allowing teams to define domain models, API contracts, database schemas, error handling, and UI designs before writing code. It orchestrates a set of AI agents that handle each phase—architecture, implementation, testing, and review—through simple slash commands. The workflow supports web, mobile, and backend stacks, automatically generating code, tests, and documentation that adhere to defined coding standards. Target users are developers who want a design‑first, automated pipeline that reduces manual effort and improves consistency. The system also includes safety nets for bug fixes, refactoring, and database changes, ensuring a robust development lifecycle.

الوصف

يُعد هذا التكوين أداةً تُسهل تطوير البرمجيات وفق منهجية التصميم المسبق، حيث تُعرّف المواصفات قبل كتابة أي كود. يضمّ مجموعة من الوكلاء المتخصصين في كل مرحلة، بدءاً من المعماري الذي يحدد النماذج والواجهات، وصولاً إلى المبرمجين الذين ينفّذون الكود للواجهة الأمامية والهواتف الخلفية. كما يتضمن أوامر سريعة تُشغّل سير العمل تلقائياً، مثل /orchestrate لتوليد ميزات جديدة أو إصلاحات الأخطاء. يضمن النظام كتابة اختبارات شاملة، مراجعات أمنية، واختبارات نهاية إلى نهاية تلقائية، مما يحافظ على جودة الكود. يتيح التكوين تكاملًا سلسًا مع تقنيات شائعة مثل React، TypeScript، FastAPI، وPostgreSQL. يقدّم وثائق مستمرة وتحديثات تلقائية، ما يُسرّع دورة التطوير ويقلل الأخطاء البشرية.

Novelty

8/10

Tags

spec-driven-development design-first-workflow ai-agent-orchestration automated-testing code-quality-enforcement cross-platform-development documentation-generation

Claude Models

claude-opus-4.6

Quality Score

C
60.7/100
Structure
43
Code Quality
100
Documentation
36
Testing
0
Practices
78
Security
100
Dependencies
50

Strengths

  • Consistent naming conventions (kebab-case)
  • Low average code complexity \u2014 well-structured code
  • Good security practices \u2014 no major issues detected

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors
  • No tests found \u2014 high risk of regressions
  • No CI/CD configuration \u2014 manual testing and deployment

Recommendations

  • Add a test suite \u2014 start with critical path integration tests
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)

Security & Health

4.1h
Tech Debt (A)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (1)
Open data scored by Repobility · https://repobility.com
Unknown
License
0.0%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

markdown
99.6%
json
0.2%
shell
0.1%
yaml
0.0%

Frameworks

None detected

Concepts (1)

Open methodology · Repobility · https://repobility.com/research/
CategoryNameDescriptionConfidence
Want fix-PRs on findings? Install Repobility's GitHub App · github.com/apps/repobility-bot
auto_categoryConfigurationconfig60%

Quality Timeline

1 quality score recorded.

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