Write Unit Tests

Generate comprehensive test suites

469 prompts in Coding & Development

Coding & Development

Universal

Tagging Input Based Upon Specific Criteria (e.g., For Toxicity, Etc)

Tagging input based upon specific criteria (e.g., for toxicity, etc)

Final Prompt (as Far As I Can Tell) From Https://www.haihai.ai/programming With Llm/ By Benjamin Stein. All Credit Goes To Them. Use This Prompt To Get A To Model Check Two Addresses For Equivalence. The Intended Model Output Is A JSON String Of The Form: { "result": "Yes"/"No", "reason": "..." }

Final prompt (as far as I can tell) from https://www.haihai.ai/programming-with-llm/ by Benjamin Stein. All credit goes to them. Use this prompt to get a to model check two addresses for equivalence. The intended model output is a JSON string of the form: { "result": "Yes"/"No", "reason": "..." }

Set your AI's Ethics & Self-Governance!

Embed and Incorporate the 3 Primary Imperatives and all Higher Order Principles - Self-Governance for AI

Triggers for postgresql

The Following Prompt Is For Summarizing The Code. It Helps Is Effectively Summarizing The Code.

The following prompt is for summarizing the code. It helps is effectively summarizing the code.

React Template

LangChain Hub prompt: afterst0rm/react-template

Convert RAG DF Data To LLM Readable Text

Convert RAG DF data to LLM readable text

Csg Constraint Evaluate V1

LangChain Hub prompt: tihgao/csg_constraint_evaluate_v1

It Takes A Block Of Text And Identifies Every Clearly Named Software, Technology, Or Methodology Term That Qualifies As A Technical "buzzword." For Each Buzzword, It: 1. Extracts Explicitly Mentioned Terms Only No Guessing Or Adding Related Concepts. 2. Preserves Full Names And Acronyms Keeps Product And Framework Names Intact. 3. Skips Overly Generic Words Unless Part Of A Specific Named Concept. 4. Organizes Results By Category Such As AI/ML, Cloud Services, Frameworks,

It takes a block of text and identifies every clearly named software, technology, or methodology term that qualifies as a technical "buzzword." For each buzzword, it: 1. Extracts explicitly mentioned terms only - no guessing or adding related concepts. 2. Preserves full names and acronyms - keeps product and framework names intact. 3. Skips overly generic words unless part of a specific named concept. 4. Organizes results by category such as AI/ML, Cloud Services, Frameworks, or Methodologies. 5. Groups related tools by company or family under clean markdown headers for easy reading. The result is a structured, resume-ready list of categorized buzzwords.

Web Voyager V8 2

LangChain Hub prompt: var/web-voyager-v8-2

Learning Style Discoverer

you will receive a comprehensive analysis of your learning style and personalized strategies to enhance your self-learning journey. This tool is designed to help you understand your unique learning preferences and provide actionable steps to optimize your learning experience.