68 prompts
Coding tasks for generation, repair, tests, reviews, and engineering trade-off evaluation.
Manages infrastructure code as production-grade software, emphasizing versioning, testing, and rollback capabilities. Enforces strict response contracts with pre-diagnosis of failure modes.
Transforms any codebase into a beautiful, interactive single-page HTML course that teaches how the code works — no setup required, runs entirely in the browser
A professional static HTML presentation generator with 36 themes, 15 full-deck templates, 31 page layouts, and 47 animations. Supports offline use, keyboard navigation, and a true presenter mode with speaker scripts.
This prompt defines a senior PCB/EDA design architect responsible for end-to-end review of electronic designs, covering schematic, PCB layout, signal integrity, power integrity, EMC pre-compliance, SPICE simulation, and DFM analysis, delivering structured engineering reports.
Transforms academic papers (especially arXiv ML/AI papers) into minimal, honest, verifiable Python implementations, strictly anchored to paper content without inventing unspecified details.
This prompt guides senior Android engineers in conducting architectural reviews of Jetpack Compose code, covering state management, recomposition performance, side-effect handling, Flow modeling, accessibility, and code hygiene, with BAD/GOOD examples and prioritized remediation guidance.
Comprehensively reviews SwiftUI code for best practices on modern APIs, maintainability, performance, accessibility, and design compliance with actionable fixes.
A comprehensive prompt for senior embedded firmware engineers, covering production-grade firmware development on resource-constrained MCUs, RTOS task design, communication protocols, memory safety, and cross-platform portability.
A binding engineering policy distilled from Clean Code, Clean Architecture, Domain-Driven Design, and Designing Data-Intensive Applications. Enforces human-readable code, inward dependencies, explicit domain boundaries, and fault-tolerant data systems for AI-generated software.
Design and operate hybrid security scanning systems that combine fast regex matchers with deep AI-agent analysis to detect vulnerabilities in large codebases that traditional SAST tools miss.
As a senior UI/UX architect, this role focuses on systematically overriding the statistical biases of LLMs towards generic, template-like UIs to architect digital interfaces. It enforces metric-based design rules, strict component architecture, CSS hardware acceleration, and balanced design engineering to ensure outputs are high-end, non-generic, and performant frontend code.
This prompt guides the transformation of open-source GUI applications into stateful, machine-readable CLI tools operable by AI agents without a display, using real backend software for rendering and export.
Designs generator/evaluator harness patterns enabling parallel LLM sub-agents to collaboratively build large, coherent software artifacts (e.g., compilers, interpreters, runtimes) with deterministic quality gates, bounded coordination cost, and failure isolation.
Design a lightweight, self-healing browser automation harness that connects LLM agents directly to a real Chrome instance via the Chrome DevTools Protocol (CDP). The agent writes missing helpers during execution, turning one-off tasks into reusable skills.
Evaluates whether self-distillation is the optimal next step for a given code generation task based on diagnostic pass@k metrics, designs experimental pipelines if applicable, and refuses recommendations when outside its operating envelope.
Transforms code, databases, infrastructure, and documentation into a structured knowledge graph, identifying architectural key points, dependencies, and design decisions.
A Solana blockchain architect with over 10 years of systems programming experience, specializing in designing high-performance, secure, production-ready Solana programs using Rust and the Anchor framework. Core expertise includes the Solana account model, Program Derived Addresses (PDAs), Cross-Program Invocations (CPIs), SPL Token operations, security-first development practices, and compute unit optimization. Adheres strictly to Solana runtime rules such as transaction atomicity, account ownership validation, and protection against reentrancy attacks.
Conducts comprehensive frontend audits covering performance, accessibility, SEO, and best practices. Treats Lighthouse as a diagnostic tool, delivering ruthless, specific, and actionable findings with file references and severity levels.
This prompt instructs the AI to act as a senior bioinformatics engineer with production-grade expertise in designing, executing, and validating high-throughput omics data analysis pipelines.
This chapter introduces how to quickly build and deploy static websites through prompt engineering, covering classic projects (Hello World, Pong game), modern deployment tools (Netlify, Replit), dev environment setup, and Git fundamentals.
A system prompt for a software engineering assistant embedded in the command-line development environment, guiding AI to complete programming tasks such as coding, debugging, refactoring, and test management. Emphasizes safe operations, cautious execution of changes, preference for dedicated tools, and requires output in GitHub-flavored Markdown format.
Grimoire is the Chief Coding AI Wizard from GPTavern, an expert-level programming assistant specialized in code generation and writing. This prompt defines its core personality, behavioral guidelines, workflow, and interaction protocol, emphasizing strict adherence to instructions, proactive execution, high-quality code output, support for various hotkeys (e.g., W/A/S/D/Q/E/T/F/Z/N), detailed user guidance, and deployment recommendations.
Master core debugging mindset and practical techniques to clearly define problems and fix bugs like a pro.
This prompt defines the role of a Spec-Driven Development Architect who designs software exclusively through precise, verifiable specifications before any code is written, ensuring alignment between product intent and implementation.
A binding engineering policy for AI coding agents based on 'The Pragmatic Programmer', emphasizing ownership, DRY at the knowledge level, orthogonality, fast feedback, and automation.
An AI-powered tutor based on curated college textbooks, enabling simultaneous theory and code learning with personalized, interactive instruction and advanced visualization support.
Grimoire is an AI-powered coding assistant optimized for prompt engineering, supporting multiple models and hotkeys to generate, debug, and export bug-free code efficiently for users from beginners to professionals.
This section emphasizes understanding the core principles of algorithms and data structures rather than rote memorization. Using examples like multiplication and sorting algorithms, it guides learners to evaluate program efficiency and develop intuition about complex system behavior.
This chapter demonstrates how to launch an online business with minimal effort, covering the creation of tipping jars using Stripe payment links, setting up stores on platforms like Gumroad or Shopify, and incorporating a business via Stripe Atlas. It also recommends generating money-themed background images using DALL·E for visual enhancement.
This section offers a series of interactive programming exercises covering creative arts, physics simulation, text-based adventures, and 2D game development. Learners will use P5.js to create animated artwork, implement ball pit physics with Matter.js, write an ASCII-style text adventure game, and build simple 2D games using Kaboom.js or Phaser. It also includes guidance on using Rive for character animation, suitable for beginners mastering foundational web interactivity and visualization skills.
This section covers essential and advanced features of Cursor.sh, including creating AI projects, using sidechat for codebase-wide interaction, Cmd+K for code generation and editing, terminal integration, manual RAG control, and configuring .cursorIgnore to filter irrelevant files.
This chapter provides a comprehensive beginner's guide to web development, from creating your first website to deploying it online, covering classic projects, modern deployment tools, and development environment setup.
Grimoire is an AI-powered coding assistant designed for developers, powered by models like GPT-4o, Claude Sonnet 3.5, and Llama 3.1. It offers 20+ hotkeys, auto-suggestions, code preview, and export features, supporting everything from beginner tutorials to enterprise-level codebases.
Grimoire is a highly specialized AI programming assistant designed for advanced code generation, debugging, and deployment. It adheres to strict development standards, producing secure, efficient, and production-ready code while actively suggesting deployment options such as Replit or Netlify. Supporting multimodal inputs including image understanding and static website creation, Grimoire excels in full-stack project construction.
Detailed steps for deploying a static website on the Replit platform, including instructions for desktop and mobile interfaces, with domain configuration guidance.
This chapter introduces core computer science concepts: data structures and algorithms (e.g., sorting, searching, Big O notation) and code architecture design patterns. The focus is on understanding how algorithms work and how to evaluate their performance, rather than rote memorization. It also explores different programming paradigms, such as functional programming, using a tiramisu recipe flow diagram as an illustrative example, and recommends hands-on learning resources.
Create an interactive dynamic art collage using P5.js, combining visual elements with animation, ideal for beginners to learn basic drawing and user interaction.
This section is designed for absolute beginners or anyone transitioning from prompt engineering to real coding. It covers terminal usage, variables and data types, control flow (conditionals, loops, enums), basic object-oriented concepts, functions, and methods. Each concept includes simple test programs to verify understanding.
This prompt introduces core debugging principles in programming, emphasizing the importance of clear instruction specification and providing practical techniques like print debugging, version control, UI bounding box checks, and rubber duck debugging.
A highly specialized AI programming assistant with strong coding capabilities, logical reasoning, and system-building skills. It strictly follows instructions, provides detailed code implementations, and supports various development scenarios including front-end web development, Python scripting, and static site deployment.
Design and implement a layered, maintainable testing strategy for complex software systems to ensure high coverage, fast feedback, and long-term sustainability.
A battle-hardened EVM smart contract developer persona focused on security, gas optimization, and upgradeable architecture, providing complete contract templates, test suites, and development workflows.
Senior database engineer and SQL expert supporting query writing, schema design, optimization, and architecture across multiple databases.
This prompt guides the model to act as a senior refactoring specialist who helps developers systematically improve maintainable but problematic code while preserving all existing behavior through safe, incremental transformations.
A specialized mobile application developer with expertise in native iOS/Android development and cross-platform frameworks, capable of creating high-performance, user-friendly mobile experiences with platform-specific optimizations and modern mobile development patterns.
Design and implement a comprehensive MLOps platform and operational framework covering the complete lifecycle from data ingestion to model deployment and monitoring. This solution addresses large-scale machine learning scenarios, integrating both traditional ML and modern LLM/foundation model operational requirements, providing production-ready architectures, tooling recommendations, and cost optimization strategies.
As a senior Kubernetes specialist, you design, deploy, and manage enterprise-grade Kubernetes clusters with expertise in control plane architecture, workload orchestration, security hardening, networking/storage optimization, and GitOps workflows. Adhere to security-by-default principles, immutable infrastructure, and declarative configuration for high availability, multi-tenancy, and cost control.
This prompt defines a Generative UI Architect role focused on component-first, design-system-native, responsive, and accessible interface design using generative methods.
Expert frontend developer specializing in modern web technologies, UI frameworks, and performance optimization, creating responsive, accessible, and high-performance web applications
This prompt guides the design of effective prompts for diffusion language models (Diffusion LMs), emphasizing bidirectional context, prefix/suffix anchoring, masking strategies, and test-time scaling techniques.
This role is a professional data engineer focused on designing, building, and operating data infrastructure that powers analytics, AI, and business intelligence. Responsible for transforming raw, messy data from diverse sources into high-quality, analysis-ready assets with idempotency, observability, and self-healing capabilities.
A systematic debugging expert agent that diagnoses and fixes software issues—runtime errors, logic bugs, performance regressions, flaky tests, memory leaks, race conditions, and integration failures—using a hypothesis-driven approach grounded in evidence from code or output. Avoids guessing by narrowing down problems through targeted, minimal changes and verifiable checks.
This prompt defines the role of a senior application security engineer and code reviewer, requiring deep security-focused code reviews based on OWASP Top 10:2021 and updated threat models to identify vulnerabilities and provide production-ready fixes.
This prompt defines the role, skills, process, and best practices of a senior analytics engineer building scalable, maintainable data pipelines and analytical systems in production.
A set of behavioral guidelines designed to minimize common errors in LLM-generated code, emphasizing caution, simplicity, surgical changes, and goal-driven execution.
This prompt guides the design of a reliable, scalable, and observable system integration architecture, covering authentication, fault tolerance, monitoring, and implementation strategies for REST/GraphQL API integrations in modern cloud environments.
An expert coding agent prompt emphasizing planning before coding, security-first practices, test-driven development, and minimal changes for production-ready code generation and modification.
An evidence-based code reasoning specialist system designed to analyze code issues and guide code changes through verifiable reasoning grounded in actual codebase evidence.
A programming expert assistant with strong coding skills, capable of step-by-step project design, code generation, and structured development for both simple queries and complex projects.