awesome-repositories.com
Blog
MCP
awesome-repositories.com

Descoperă cele mai bune repository-uri open source cu căutare AI.

ExploreazăCăutări recomandateAlternative open-sourceSoftware self-hostedBlogHartă site
ProiectDespreCum realizăm clasamentulPresăServer MCP
LegalConfidențialitateTermeni
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·
nidhinjs avatar

nidhinjs/prompt-master

0
View on GitHub↗
9,731 stele·1,152 fork-uri·MIT·240 vizualizări

Prompt Master

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 maintain consistency across conversation sessions, preventing the AI from contradicting earlier work. Additionally, it analyzes prompts against 35 common wasteful patterns and rewrites them for improved clarity and efficiency.

The project covers the full workflow of prompt engineering automation, including cross-tool syntax adaptation, intent clarification, context retention for conversational consistency, and prompt debugging through pattern analysis. It functions as both a prompt optimization tool and a cross-platform prompt generator, adapting prompts written for one AI system into the format required by a different target tool.

Features

  • Automated Prompt Engineering - Automates prompt engineering by detecting the target AI system and applying the correct prompt architecture.
  • Session Context Blocks - Prepends a memory block of prior decisions and constraints to prevent contradictions across sessions.
  • Cross-Platform Generators - Generates optimized prompts for over 30 AI tools by adapting format and syntax automatically.
  • Automatic Prompt Engineering - An AI skill that writes optimized prompts for any tool by detecting the target system automatically.
  • Session Memory Blocks - Prepends a memory block of prior decisions and constraints to maintain consistency across sessions.
  • Session Context Retention - Maintains a memory block of prior decisions and constraints to prevent contradictions across sessions.
  • Intent Extraction Systems - Asks targeted clarifying questions to fill missing dimensions of intent before generating prompts.
  • Prompt-to-Tool Adapters - Adapts prompts written for one AI system into the format and syntax required by a different target tool.
  • Cross-Tool Prompt Strategies - Converts prompts written for one AI system into the format and syntax required by a different target tool.
  • Prompt Debugging Utilities - Analyzes existing prompts to identify wasteful patterns and rewrites them for clarity and efficiency.
  • Cross-Tool Syntax Adapters - Automatically translates prompt syntax and format between over 30 different AI tools.
  • Prompt Optimization Tools - Analyzes prompts for 35 common token-wasting patterns and rewrites them for clarity and efficiency.
  • Cross-Platform Generators - Generates optimized prompts for over 30 AI tools by detecting the target system automatically.
  • Prompt Optimizers - Analyzes prompts, identifies 35 common wasteful patterns, and rewrites them for clarity and efficiency.
  • AI System Detectors - Automatically detects the target AI system and applies the correct prompt architecture.
  • Session Context Blocks - Prepends a memory block of prior decisions and constraints so the AI does not contradict earlier work.
  • Token Waste Detectors - Analyzes prompts against 35 common token-wasting patterns and rewrites them for efficiency.
  • Intent Clarification - Asks up to three targeted clarifying questions to fill missing dimensions of intent before generating prompts.

Istoric stele

Graficul istoricului de stele pentru nidhinjs/prompt-masterGraficul istoricului de stele pentru nidhinjs/prompt-master

Căutare AI

Explorează mai multe repository-uri excelente

Descrie ce ai nevoie în limbaj simplu — AI-ul sortează mii de proiecte open source selectate în funcție de relevanță.

Start searching with AI

Alternative open-source pentru Prompt Master

Proiecte open-source similare, clasificate după numărul de funcționalități comune cu Prompt Master.
  • keirp/automatic_prompt_engineerAvatar keirp

    keirp/automatic_prompt_engineer

    1,360Vezi pe GitHub↗

    Automatic Prompt Engineer is a framework designed to automate the generation, refinement, and performance measurement of language model instructions. It functions as a systematic tool for optimizing prompt phrasing by iteratively testing candidate instructions against specific input and output datasets to maximize task accuracy. The system distinguishes itself through an evaluation-driven approach that uses automated feedback loops to score prompt variations. By employing template-based input structuring, it ensures consistent testing environments where candidate instructions are measured aga

    Python
    Vezi pe GitHub↗1,360
  • microsoft/typechatAvatar microsoft

    microsoft/TypeChat

    8,666Vezi pe GitHub↗

    TypeChat is a schema enforcement library and framework for building natural language interfaces. It ensures that responses from large language models strictly adhere to predefined TypeScript type definitions, translating unstructured human language into predictable, structured data. The project functions as both a prompt generator and an output validator. It automatically creates model instructions by extracting requirements from type schemas to replace manual prompt engineering and verifies that model outputs match the required format. The system handles structured output generation and res

    TypeScript
    Vezi pe GitHub↗8,666
  • microsoft/lmopsAvatar microsoft

    microsoft/LMOps

    4,418Vezi pe GitHub↗

    LMOps is a research-driven operations framework for optimizing the deployment, fine-tuning, and performance of large language models. It provides a specialized toolkit for foundation model adaptation, inference acceleration, prompt optimization, and context orchestration. The framework distinguishes itself through an inference accelerator that reduces token generation latency by verifying and copying overlapping text spans from reference documents. It also features a prompt engineering optimizer that employs reinforcement learning, beam search, and non-natural language markers to automaticall

    Python
    Vezi pe GitHub↗4,418
  • prompt-engineering/click-promptAvatar prompt-engineering

    prompt-engineering/click-prompt

    2,389Vezi pe GitHub↗

    Click-prompt is a centralized management platform designed for engineering, organizing, and executing generative artificial intelligence prompts. It provides a dedicated workspace for users to construct, refine, and optimize prompt structures, ensuring that interactions with various artificial intelligence models remain consistent and structured. The platform distinguishes itself through a collaborative library that enables users to publish and share prompt collections, facilitating knowledge exchange within a community. It features an interactive builder that maps specific user requirements

    TypeScriptchatgptgithub-copilotprompt-engineering
    Vezi pe GitHub↗2,389
Vezi toate cele 30 alternative pentru Prompt Master→

Întrebări frecvente

Ce face nidhinjs/prompt-master?

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.

Care sunt principalele funcționalități ale nidhinjs/prompt-master?

Principalele funcționalități ale nidhinjs/prompt-master sunt: Automated Prompt Engineering, Session Context Blocks, Cross-Platform Generators, Automatic Prompt Engineering, Session Memory Blocks, Session Context Retention, Intent Extraction Systems, Prompt-to-Tool Adapters.

Care sunt câteva alternative open-source pentru nidhinjs/prompt-master?

Alternativele open-source pentru nidhinjs/prompt-master includ: keirp/automatic_prompt_engineer — Automatic Prompt Engineer is a framework designed to automate the generation, refinement, and performance measurement… microsoft/typechat — TypeChat is a schema enforcement library and framework for building natural language interfaces. It ensures that… microsoft/lmops — LMOps is a research-driven operations framework for optimizing the deployment, fine-tuning, and performance of large… prompt-engineering/click-prompt — Click-prompt is a centralized management platform designed for engineering, organizing, and executing generative… mshumer/gpt-prompt-engineer — This project is an automated prompt engineering and optimization tool designed to iteratively create, test, and refine… stanfordnlp/dspy — DSPy is a declarative programming framework designed for building complex language model applications. It treats model…