Reasoning and constraints
Examples that test multi-step reasoning, hidden assumptions, and verifiable answers.
24 curated prompts
Prompt Engineering Examples
Study practical prompt engineering examples organized by capability and use case. This page highlights reusable patterns such as explicit constraints, structured output, evidence boundaries, scoring rubrics, and task decomposition, helping teams move from one-off prompts to repeatable evaluation-ready templates.
prompt engineering examplesAI prompt examplesLLM prompt examples
Structured outputs
Prompts that ask for tables, rubrics, extraction, or decision-ready summaries.
Operational workflows
Examples for agents, tools, safety checks, and product growth tasks.
Featured AI prompt templates
Copy-ready prompts selected from this topic cluster.
TextAI Agents
Agent Harness Performance Engineer
Optimize existing AI coding-agent harnesses (e.g., Claude Code, Codex CLI, Cursor) to achieve consistent, measurable, production-grade outcomes through cross-harness parity, memory persistence, security, and continuous learning.
agent-harnessperformance-optimizationmemory-persistence
TextLogic Reasoning
Constraint Typology Architect
Design constraint-based workflows for LLM planning systems that reliably capture user intent through two high-level types: hard rules (never violated, exhaustively verified) and soft preferences (flexible, contextually judged), avoiding mixed verification styles or numeric weights that erode trust and plan reliability.
constraint engineeringworkflow designhard rules
TextAI Agents
Obsidian Vault Operator
A specialized agent skill for creating, editing, navigating, and managing Obsidian vaults with precision across five subsystems: Obsidian Flavored Markdown, CLI, JSON Canvas, Obsidian Bases, and Defuddle web extraction.
ObsidianKnowledge ManagementMarkdown
TableAI Agents
Investment Banking Associate Agent
This prompt defines an investment banking senior associate agent responsible for end-to-end drafting of client pitches, sector primers, or valuation exercises based on a target company, sector, and strategic situation.
investment bankingvaluation modelingtrading comparables
TextAI Agents
Quantitative Trading Agent Architect
Design an autonomous quantitative finance research agent that transforms natural-language financial questions into testable strategies, rigorous backtests, and inspectable research artifacts across equities, crypto, futures, and forex—without executing live trades—ensuring reproducibility, safety, and cross-platform interoperability.
quantitative tradingagent architecturebacktesting system
TextAI Agents
Agents Best Practices Guide
This skill is used when designing, generating an MVP blueprint for, auditing, refactoring, or explaining an agentic harness for any domain. Covers provider-neutral agent architecture for OpenAI, Anthropic, and OpenAI-compatible APIs: agent loops, tool design, permissions, system prompts, planning, goals, context compaction, memory, skills, MCP/external connectors, observability, evals, prompt caching, agent-legible environments, feedback loops, and safety.
Agent ArchitectureMVP DesignTool Calling
CodeAI Agents
Autonomous ML Research Agent
A fully autonomous machine learning experimentation agent that runs closed-loop experiments on a fixed codebase without human intervention, iteratively modifying training code, running short-budget trials, and optimizing a single ground-truth metric.
autonomous agentmachine learningexperiment automation
TextLogic Reasoning
LLM Judge Routing Strategist
Design cost-efficient, distribution-shift-robust routing policies to dynamically assign queries between reasoning and non-reasoning LLM judges under a fixed compute budget, optimizing accuracy-cost trade-offs.
LLM-as-a-Judgerouting strategycost efficiency
TextAI Agents
Cognitive Distillation Architect: Turning Real Human Thinking into Runnable Skills
This prompt guides an AI system to distill a real person's cognitive operating system—how they think, not what they said—into a structured, executable SKILL.md file with six layers of mental architecture, validated through triple verification.
cognitive modelingthought extractionskill distillation
VideoAI Agents
Agentic Video Editor
An AI-powered video editing engineer specializing in post-production workflows using ffmpeg, Python (PIL), and structured EDLs. It reasons over transcripts, waveforms, and frames to make precise cuts, apply color grading, add animations, and generate subtitles — all while adhering to production-grade correctness rules such as audio-first cutting, subtitle-last application, and parallel animation rendering.
Video EditingAI Agentffmpeg
TextAI Agents
Skill Self-Evolution Designer
An expert system for designing, evaluating, and iteratively improving reusable agent skills, supporting continuous evolution and quality assurance of the skill library.
agent designskill managementself-evolution
TextProduct Growth
Game Economy Designer: Comprehensive Virtual Economy Design Document
This prompt asks the AI to act as a senior game economy designer and create a complete virtual economy system for a specified game concept, platform, and business model. The output must include ten key modules such as economic vision, currency architecture, progression/reward systems, monetization, scarcity, player segmentation, live ops, analytics, social meta-economy, and regulatory compliance, balancing mathematical rigor with player empathy.
game designeconomy systemvirtual economy
What is a prompt engineering example?
It is a concrete reusable instruction that shows how to define context, constraints, output format, and evaluation criteria for an AI model.
How should teams reuse these examples?
Start from a matching workflow, replace the scenario-specific details, then keep the structure and review criteria intact.
Are these examples beginner friendly?
Yes. The collection includes simple templates and harder evaluation prompts for advanced model testing.