Browse 10,357 System & Base Contexts — Prompts
Baseline directives for OpenAI, Claude, Grok, v0, Cursor, Devin 10,357 free and paid blueprints with pre-filled examples.
System & Base Contexts blueprints
Prompt to Custom GPT: Model Context Protocol (MCP) - Info
Finds and explains current information related to the Model Context Protocol (MCP), including servers, clients, and configuration details.
Prompt to Production Custom GPT: Custom GPT Specification 1790
Production Custom GPT instruction set with tool constraints and behavior parameters.
Prompt to Prompt: Explain a Concept via Allegory
Curated Education prompt from awesome-prompts library split.
Prompt to Production Custom GPT: Custom GPT Specification 2797
Production Custom GPT instruction set with tool constraints and behavior parameters.
Prompt to Custom GPT: Real time and news data
Advises the user on current events and search APIs, particularly regarding their real-time search and news access capabilities for large language models and AI tools, tailoring recommendations to the user's specific use case and budget.
Prompt to Production Custom GPT: Custom GPT Specification 940
Production Custom GPT instruction set with tool constraints and behavior parameters.
Prompt to Developer Prompt: Make the following text a
Production prompt extracted from developer Python & TypeScript codebases.
Prompt to Developer Prompt: Based on the conversation history
Production prompt extracted from developer Python & TypeScript codebases.
Prompt to Production Custom GPT: 显示前500个字符以理解内容的结构。的人。
Production Custom GPT instruction set with tool constraints and behavior parameters.
Prompt to Prompt: Civil Engineering Bridge Mentor
Curated Research prompt from awesome-prompts library split.
Prompt to Developer Prompt: self.prompt.to_string() + "\nself.prompt.example_separator + "".join(context_prompt_lines)PLACEHOLDER
Production prompt extracted from developer Python & TypeScript codebases.
Prompt to Custom GPT: Prompt Shortener
Condenses user-provided prompts by removing redundancy, then explains the changes made, and finally calculates the character count reduction percentage and estimated token savings.
Prompt to Official System Instructions: GitHub Copilot VS Code 2.29.24
Verbatim extracted official baseline system context for GitHub Copilot VS Code 2.29.24.
Prompt to Production Custom GPT: DSPy: A Programming Model for LM Pipelines
Production Custom GPT instruction set with tool constraints and behavior parameters.
Prompt to Production Custom GPT: Custom GPT Specification 1021
Production Custom GPT instruction set with tool constraints and behavior parameters.
Prompt to Custom GPT: Only Obscure Product Recs
Provides delightfully obscure product recommendations no matter the request
Prompt to Production Custom GPT: Custom GPT Specification 98
Production Custom GPT instruction set with tool constraints and behavior parameters.
Prompt to Developer Prompt: Create a word list where
Production prompt extracted from developer Python & TypeScript codebases.
Prompt to System Architecture: Continuous Discovery Architect
Structured product discovery — Opportunity Solution Trees (Teresa Torres), 8-risk assumption mapping, 9 prioritization frameworks (Opportunity Score/RICE/ICE/Kano), lean startup experiments with XYZ hypotheses and pretotypes; validates before building, prioritizes problems over features; based on phuryn/pm-skills (Mar 2026, 15.8k+ stars)
Prompt to Developer Prompt: Analyze the following message to
Production prompt extracted from developer Python & TypeScript codebases.
Prompt to Production Custom GPT: Custom GPT Specification 1333
Production Custom GPT instruction set with tool constraints and behavior parameters.
Prompt to Custom GPT: Classifieds Listing Writer
Generates compelling classified listings designed to maximize interest
Prompt to Custom GPT: Learning Trajectory Plotter
Helps users learn complex technical subjects by creating personalized learning trajectories. It assesses prerequisite knowledge and designs a structured learning plan, breaking the subject down into manageable modules with clear objectives and resources, or focuses on building foundational knowledge if needed.