Modular Prompt

B 82 completed
Library
monorepo / typescript · small
307
Files
45,522
LOC
1
Frameworks
9
Languages

Pipeline State

completed
Run ID
#368221
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
57.80
Framework unique
Isolation
Last stage change
2026-05-10 03:35:24
Deduplication group #49315
Member of a group with 16 similar repo(s) — canonical #80552 view group →
Top concepts (2)
Project DescriptionTesting
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AI Prompt

Create a modular framework in TypeScript for managing and composing prompts for generative AI applications. I need it to support building reusable prompt modules that can be dynamically generated based on runtime context. Key features must include support for multiple AI models like OpenAI, Anthropic, and Google, handling structured output based on JSON schemas, and implementing stream processing for large data. The structure should be a monorepo setup, and I want to use Vitest for testing.
typescript monorepo ai prompt-engineering generative-ai openai anthropic vitest json-schema
Generated by gemma4:latest

Catalog Information

A modular framework that lets developers build, reuse, and compose prompts for generative AI applications.

Description

The framework provides a structured way to create prompt components that can be combined into complex prompt flows. It supports defining reusable prompt templates, conditional logic, and variable substitution, enabling consistent and maintainable prompt design. Developers can integrate the framework into Node.js or browser projects, using TypeScript or JavaScript for type safety and clarity. The tool is especially useful for building chatbots, content generators, and AI assistants that require dynamic prompt construction. By abstracting prompt logic, it reduces duplication and improves collaboration across AI teams.

الوصف

يُقدِّم الإطار طريقة منسقة لإنشاء مكوّنات المطالبات (prompts) التي يمكن دمجها في تدفقات مطالبات معقدة. يدعم تعريف قوالب مطالبات قابلة لإعادة الاستخدام، المنطق الشرطي، واستبدال المتغيّر، ما يتيح تصميم مطالبات متسق وقابل للصيانة. يمكن للمطورين دمج الإطار في مشاريع Node.js أو المتصفح، مع استخدام TypeScript أو JavaScript لضمان أمان الأنواع والوضوح. يُفيد الإطار بشكل خاص في بناء روبوتات محادثة، مولدات محتوى، ومساعدين ذكيّين يتطلبون بناء مطالبات ديناميكي. من خلال تجريد منطق المطالبات، يقلل الإطار التكرار ويعزز التعاون بين فرق الذكاء الاصطناعي.

Novelty

7/10

Tags

prompt-engineering generative-ai modular-design reusable-templates ai-workflow

Technologies

vitest

Claude Models

claude-opus-4.6 claude-sonnet-4.5 claude (unknown version)

Quality Score

B
82.3/100
Structure
79
Code Quality
90
Documentation
83
Testing
75
Practices
69
Security
100
Dependencies
60

Strengths

  • CI/CD pipeline configured (github_actions)
  • Good test coverage (39% test-to-source ratio)
  • Code linting configured (eslint, ruff (possible))
  • Good security practices \u2014 no major issues detected
  • Properly licensed project

Weaknesses

  • 1 bare except/catch blocks swallowing errors
  • 1744 duplicate lines detected \u2014 consider DRY refactoring

Recommendations

  • Replace bare except/catch blocks with specific exception types
  • Address 29 TODO/FIXME items \u2014 consider tracking them as issues

Security & Health

11.3h
Tech Debt (A)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (1)
Repobility — the code-quality scanner for AI-generated software · https://repobility.com
MIT
License
11.1%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

typescript
53.1%
markdown
21.4%
text
14.6%
yaml
6.5%
json
1.5%
python
1.4%
shell
0.9%
javascript
0.6%
toml
0.0%

Frameworks

Vitest

Concepts (2)

Repobility analysis · methodology at https://repobility.com/research/
CategoryNameDescriptionConfidence
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auto_descriptionProject Descriptionプロンプトを再利用可能なモジュールとして構築・管理するTypeScriptフレームワーク。80%
auto_categoryTestingtesting70%

Quality Timeline

1 quality score recorded.

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