Claude Multi Agent Pipeline

D 55 completed
Framework
unknown / markdown · small
217
Files
22,923
LOC
1
Frameworks
6
Languages

Pipeline State

completed
Run ID
#351927
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
71.00
Framework unique
Isolation
Last stage change
2026-05-10 03:35:28
Deduplication group #52009
Member of a group with 3 similar repo(s) — this repo is canonical view group →
Top concepts (2)
Project DescriptionTesting
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AI Prompt

Create a structured, multi-agent pipeline for automating software development tasks using Claude Code. The system should manage the entire workflow from planning to merging. I need specialized agents for tasks like planning, architecture, unit testing, and git operations. The pipeline should support isolated worktrees for stories branched off an epic feature branch, and it must include mechanisms for cross-session recovery using an `epics.db` and git state. Please structure the configuration to load global preferences, the main orchestration spec, and various skills like running stories, merging epics, and performing code audits.
markdown python shell multi-agent software-development ai-workflow pipeline automation git
Generated by gemma4:latest

Catalog Information

A structured multi‑agent pipeline that automates software development tasks using Claude Code, from planning to merging.

Description

The pipeline orchestrates a full software development lifecycle by dividing work into epics and stories, each running in isolated Git worktrees. Specialized agents handle planning, coding, reviewing, testing, and Git operations, leveraging Claude Code’s built‑in task tools for real‑time tracking. Cross‑session recovery is supported through a lightweight database and Git state, ensuring continuity of work. The system exposes a set of slash commands that trigger orchestrated workflows, merge operations, status checks, and recovery procedures. It is designed to streamline collaboration, reduce manual overhead, and maintain high code quality throughout the development process.

الوصف

يُنظم خط سير متعدد الوكلاء دورة حياة تطوير البرمجيات بالكامل من خلال تقسيم العمل إلى أقسام رئيسية (epics) وقصص فرعية، حيث تُنفَّذ كل قصة في شجرة عمل معزولة على Git. يتولى وكلاء متخصصون مهام التخطيط، والبرمجة، والمراجعة، والاختبار، وعمليات Git، مستفيدين من أدوات المهام المدمجة في Claude Code لتتبع التقدم في الوقت الحقيقي. يتيح النظام استرداد العمل عبر الجلسات باستخدام قاعدة بيانات خفيفة وحالة Git، ما يضمن استمرارية العمل حتى في حالة انقطاع الجلسة. تُعرض مجموعة من أوامر السلاش التي تُطلق سير العمل المنسق، عمليات الدمج، فحص الحالة، وإجراءات الاسترداد. يهدف النظام إلى تبسيط التعاون، تقليل الجهد اليدوي، والحفاظ على جودة الكود العالية طوال دورة التطوير.

Novelty

8/10

Tags

multi-agent-workflow software-development-automation task-orchestration code-review unit-testing git-integration cross-session-recovery

Claude Models

claude-sonnet-4.6 claude-opus-4.6

Quality Score

D
54.9/100
Structure
47
Code Quality
68
Documentation
75
Testing
20
Practices
46
Security
75
Dependencies
60

Strengths

  • Well-documented README with substantial content

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors
  • No CI/CD configuration \u2014 manual testing and deployment
  • 1 files with critical complexity need refactoring
  • 2 bare except/catch blocks swallowing errors
  • 769 duplicate lines detected \u2014 consider DRY refactoring
  • 2 'god files' with >500 LOC need decomposition

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)
  • Replace bare except/catch blocks with specific exception types
  • Address 21 TODO/FIXME items \u2014 consider tracking them as issues

Security & Health

16.8h
Tech Debt (B)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (2)
Citation: Repobility (2026). State of AI-Generated Code. https://repobility.com/research/
Unknown
License
7.8%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

markdown
59.2%
python
30.3%
shell
5.8%
json
2.9%
html
1.9%
text
0.0%

Frameworks

pytest

Concepts (2)

Same analyzer free for public repos: https://repobility.com
CategoryNameDescriptionConfidence
Open data scored by Repobility · https://repobility.com
auto_descriptionProject DescriptionA structured multi-agent workflow for software development using Claude Code. Epics group related stories, each story gets an isolated worktree branched off the epic feature branch, and specialized agents handle each pipeline stage. In-session tracking uses Claude's built-in TaskCreate/TaskList/Task80%
auto_categoryTestingtesting70%

Quality Timeline

1 quality score recorded.

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