awesome-repositories.com
المدونة
awesome-repositories.com

اكتشف أفضل مستودعات المصادر المفتوحة باستخدام بحث مدعوم بالذكاء الاصطناعي.

استكشفعمليات بحث منسقةبدائل مفتوحة المصدربرمجيات ذاتية الاستضافةالمدونةخريطة الموقع
المشروعحولكيفية ترتيب النتائجالصحافةخادم MCP
قانونيالخصوصيةالشروط
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

2 مستودعات

Awesome GitHub RepositoriesPattern Analysis

Methods for identifying structural patterns like palindromes and prefixes.

Distinct from String Processing Algorithms: Focuses on structural pattern analysis, distinct from general string processing algorithms.

Explore 2 awesome GitHub repositories matching software engineering & architecture · Pattern Analysis. Refine with filters or upvote what's useful.

Awesome Pattern Analysis GitHub Repositories

اعثر على أفضل المستودعات باستخدام الذكاء الاصطناعي.سنبحث عن أفضل المستودعات المطابقة باستخدام الذكاء الاصطناعي.
  • oi-wiki/oi-wikiالصورة الرمزية لـ OI-wiki

    OI-wiki/OI-wiki

    26,176عرض على GitHub↗

    This project is a comprehensive, community-maintained knowledge base and toolkit designed for competitive programming. It serves as a centralized repository for algorithmic theory, data structures, and mathematical techniques, providing a structured reference for informatics and collegiate programming competitions. The project distinguishes itself by integrating educational content with a robust suite of automation utilities. It provides a complete workflow for competitive programming, including tools for automated test case generation, solution verification, and direct interaction with onlin

    Analyzes string patterns including prefixes and palindromes.

    TypeScriptacm-icpcacm-icpc-handbookalgorithms
    عرض على GitHub↗26,176
  • nidhinjs/prompt-masterالصورة الرمزية لـ nidhinjs

    nidhinjs/prompt-master

    9,731عرض على GitHub↗

    Prompt Master is an AI skill that automates prompt engineering by detecting the target AI system and applying the correct prompt architecture automatically. It generates optimized prompts for over 30 different AI tools, adapting format and syntax to each target system without requiring manual conversion. The system distinguishes itself through several integrated capabilities. It extracts missing dimensions of intent from vague requests by asking up to three targeted clarifying questions before generating a final prompt. A memory block of prior decisions and constraints is prepended to maintai

    Analyzes prompts against 35 common token-wasting patterns and rewrites them for efficiency.

    claude-aiclaude-skillsllm
    عرض على GitHub↗9,731
  1. Home
  2. Software Engineering & Architecture
  3. String Processing Algorithms
  4. Pattern Analysis

استكشف الوسوم الفرعية

  • Token Waste DetectorsAnalyzers that identify common wasteful patterns in prompts and rewrite them for clarity and efficiency. **Distinct from Pattern Analysis:** Distinct from Pattern Analysis: focuses specifically on detecting token-wasting patterns in prompts rather than general structural pattern analysis.