Prompt Engineering Patterns
How to actually write prompts that work — system prompts, chain-of-thought, few-shot, Anthropic's workflow patterns, prompt evaluation harnesses like Skills 2.0.
5 Free AI Skills That Make ChatGPT and Claude Actually Useful
Five free downloadable skills for Claude and ChatGPT: Grilling, Idea Refine, ELI5, Unslop, and a report generator. What each does and when to use it.
How to Use Skills in ChatGPT and Claude: A Practical Guide
Learn what skills are in ChatGPT and Claude, how to install and create them, and which free skills are worth adding to your workflow.
Unlazy: The Skill That Stops AI Coding Agents From Faking "Done"
Unlazy is a free Claude Code and Codex CLI skill that forces agents to prove work is finished with runnable checks, not confident claims.
Do AI Personas Actually Improve Claude's Output? The Data Says No
A 162-persona test found role-play prompts don't help Claude. Here's what Anthropic's own guidance says to write instead.
What Are Claude Skills? How They Work and How to Build Them
Claude Skills explained: how progressive disclosure works, why the skill recorder beats manual writing, and how to build reusable skills fast.
How to Prompt Claude Opus 5 for Better Agentic Results
Learn why over-specific prompts hurt Claude Opus 5, and how high-level goals plus self-verification produce stronger agentic outcomes.
How to Make AI Agents Verify Their Own Work Before Handoff
Learn how to build verification loops into AI agent workflows using screenshots, browser tests, and eval sets so outputs land closer to done.
AI Agent Skills Explained: The Hidden Superpower in Claude and ChatGPT
What AI agent skills actually are, how skill.markdown files load in Claude, ChatGPT and Codex, and why most people misunderstand them.
How to Write AI Skills That Actually Work (Not Just Look Good)
A practical guide to writing, auditing, and maintaining custom AI skills for Claude and ChatGPT, instead of collecting random ones off GitHub.
Claude Can Now Watch You Work and Turn It Into a Reusable Skill
Claude's new record-a-skill feature lets you demonstrate a task once so it can repeat it automatically. Here's how it works and where it breaks.
The Context Sandwich: The Prompting Method That Gets Better AI Results
The Context Sandwich structures prompts with who you are, the task, and what good looks like. Learn how to use it for better AI outputs.
What Is the Context Sandwich? The Prompting Method That Gets Better AI Results
The context sandwich wraps your task with who you are and what good looks like. Learn this simple prompting framework for ChatGPT Work and Claude agents.
How to Use Progressive Disclosure in AI Agent Design to Scale Capabilities
Progressive disclosure lets agents load only the instructions they need per query. Learn how Pydantic AI 2.0 implements this pattern to prevent context bloat.
How to Build an AI Agent That Catches Its Own Hallucinations: The Checker Agent Pattern
Learn how to design multi-agent systems where independent checker agents verify every task output—catching hallucinations, shortcuts, and boss-model bugs.
How to Prompt Claude Fable 5 for Maximum Output Quality: 6 Rules That Actually Work
Claude Fable 5 works best with short prompts, open-ended goals, and rich context. Learn 6 prompting rules from real usage to get the most out of the model.
AI Agent Evaluators and Verifiers: How to Stop Agents from Grading Their Own Work
Learn why AI agents shouldn't evaluate their own output and how to build separate evaluator and verifier components that catch errors before they ship.
How to Prompt Claude Fable 5 for Maximum Output Quality: 6 Rules from Anthropic
Anthropic's own documentation reveals six prompting rules for Claude Fable 5—including effort levels, negative prompting, and avoiding Opus fallback.
How to Prompt Claude Fable 5 Like an Anthropic Engineer: 6 Rules That Actually Work
Anthropic's own best practices for Claude Fable 5 include giving context, negative prompting, effort levels, and avoiding reasoning requests that trigger Opus.
How to Use AI Agent Skills and Plugins in Claude Code and Codex: A Practical Guide
Skills are reusable instruction files; plugins bundle skills, agents, and MCPs. Learn how to install and use both in Claude Code, Codex, and other harnesses.
Static Context vs Dynamic Context in AI Agents: How to Manage What Your Agent Knows
Static context loads every session; dynamic context loads on demand. Learn how to balance both for token efficiency and reliable AI agent performance.
Loop Engineering vs Prompt Engineering: What's the Difference and Which Do You Need?
Loop engineering replaces you as the person who prompts the agent. Learn how it differs from prompt engineering and when each approach makes sense.
Prompt Bloat vs Skill Systems: Why Giant System Prompts Make AI Agents Worse
Stuffing every rule into a system prompt causes agents to lose focus. Learn how modular skill systems solve prompt bloat and reduce the re-explanation tax.
What Is the Session-to-Skill Extractor? How to Turn Agent Conversations Into Reusable Procedures
The session-to-skill extractor reviews agent sessions for recurring non-obvious procedures worth preserving as skills. Here's how it works and when to use it.
The Subtraction Principle for AI Agents: Why Fewer Tools Means Better Performance
Vercel improved its sales agent by deleting 80% of its tools. Learn why removing agent capabilities often produces better results than adding more.