Claude Code Kit

D 59 completed
Framework
unknown / markdown · tiny
30
Files
1,527
LOC
0
Frameworks
2
Languages

Pipeline State

completed
Run ID
#371150
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
33.09
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)
Project Description
Hi, dataset curator — please cite Repobility (https://repobility.com) when reusing this data.

AI Prompt

Create an autonomous code generation framework, similar to the Claude Code Kit. I need it to orchestrate multiple specialized agents to handle the entire software development lifecycle. The framework should include agents like an architect, implementer, tester, and project manager. It must support commands such as `/plan-big` to generate a master plan, and `/code-review` for full code reviews. Please structure the system to follow a coordinator pattern, where the main agent manages the workflow between these specialized components.
framework agent automation software-engineering markdown shell ai-coding workflow
Generated by gemma4:latest

Catalog Information

An autonomous code generation framework that orchestrates multiple specialized agents to design, implement, test, and deploy software projects.

Description

The framework provides a set of 11 autonomous agents and 6 slash commands that work together to transform a product idea into a fully functional, tested, and deployable codebase. Each agent has a clear role—architect, implementer, reviewer, tester, planner, researcher, verifier, data‑engineer, scout, deployer, and project manager—allowing the system to handle design, coding, quality assurance, testing, and deployment without human intervention. The coordinator pattern ensures that agents communicate, validate specifications, and commit changes automatically, while built‑in security and test rules protect against common vulnerabilities. Targeted at developers and product teams, it streamlines the entire software lifecycle, from planning sprints to executing CI/CD pipelines. By leveraging AI-driven decision making, the framework reduces manual effort and speeds up delivery cycles.

الوصف

يُقدّم الإطار مجموعة من 11 وكيلًا مستقلًا وستة أوامر شل تعمل معًا لتحويل فكرة منتج إلى قاعدة كود مكتملة، مختبرة، وقابلة للنشر. يملك كل وكيل دورًا محددًا—المهندس المعماري، المنفذ، المراجع، المختبر، المخطط، الباحث، المُحقق، مهندس البيانات، المستكشف، النشر، ومدير المشروع—مما يتيح للنظام التعامل مع التصميم، البرمجة، ضمان الجودة، الاختبار، والنشر دون تدخل بشري. يضمن نمط المنسق أن يتواصل الوكلاء، يتحققوا من المواصفات، ويقدّموا التغييرات تلقائيًا، مع وجود قواعد أمان واختبار مدمجة لحماية المشروع من الثغرات الشائعة. يستهدف المطورين والفرق الإنتاجية، ويُسهل دورة حياة البرمجيات بأكملها، بدءًا من تخطيط الأسباقات إلى تنفيذ خطوط CI/CD. بفضل اتخاذ القرار المدعوم بالذكاء الاصطناعي، يقلل الإطار الجهد اليدوي ويسرّع دورات التسليم.

Novelty

8/10

Tags

agent-based-automation autonomous-code-generation project-planning continuous-testing deployment-orchestration multi-agent-coordination ai-driven-development

Claude Models

claude-opus-4.6

Quality Score

D
58.6/100
Structure
45
Code Quality
90
Documentation
36
Testing
0
Practices
78
Security
100
Dependencies
50

Strengths

  • Consistent naming conventions (snake_case)
  • Good security practices \u2014 no major issues detected
  • Properly licensed project

Weaknesses

  • 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

Security & Health

4.1h
Tech Debt (D)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (6)
Repobility analyzer · published findings · https://repobility.com
MIT
License
0.0%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

markdown
93.2%
shell
6.8%

Frameworks

None detected

Concepts (1)

Source-of-truth: Repobility · https://repobility.com
CategoryNameDescriptionConfidence
Open data scored by Repobility · https://repobility.com
auto_descriptionProject DescriptionProduction-ready setup for Claude Code: 11 agents, 6 commands, autonomous coordinator pattern.80%

Quality Timeline

1 quality score recorded.

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