RESOURCE HUB
Guides, best practices, and insights on prompt engineering for every AI model.
Eleven weeks, seven frontier releases, and a string of agents that walked out of their sandboxes. The controls moved from prose to parameters, and the one paragraph still worth writing is the boundary. Plus what we shipped into PromptArch.
How to write a CLAUDE.md for Claude Code: what to include, what to cut, a full example file, the 200-line target, and free tools to generate and lint yours.
How to write a Cursor Rule step by step: .mdc frontmatter, the four rule types, glob scoping, research-backed anti-patterns, plus a free generator and linter.
How to write a Claude Code Skill: the SKILL.md format, YAML frontmatter, descriptions that trigger reliably, and the mistakes that stop skills from firing.
Learn how to write a Cursor Skill: SKILL.md anatomy, frontmatter, descriptions the agent actually triggers on, and skill-vs-rule scoping, with a full example.
Most CLAUDE.md, AGENTS.md, and Cursor-rules files carry instructions that helped 2024-era models and quietly hurt current ones. Here are the 50+ research-backed rules PromptArch's free, offline linter checks, each with the benchmark, doc, or incident behind it.
Within nine days, both Anthropic (Claude Fable 5) and OpenAI (GPT-5.6) shipped official guidance that says the same thing: subtract from your prompts, don't add. Plus what changed for prompt engineers, and what we shipped into PromptArch.
Lint and generate CLAUDE.md, AGENTS.md, Cursor rules, and Copilot instructions from your terminal with the promptarch CLI, or let your AI agent do it over MCP. Setup, commands, API keys, and CI usage.
Two big shifts in late May and early June 2026: Claude Opus 4.8 optimizes for honesty over benchmarks, and Anthropic's June 15 billing change turns prompt-cache hit-rate into a line item. Plus harness engineering, MCP security, and two frontier models on the horizon.
Three major model releases in three weeks: Claude Opus 4.7, GPT-5.5, and Gemini 3. What changed for prompt engineering and what to do about it.
Learn what chain of thought prompting actually does, how to structure reasoning traces, model-specific CoT behaviors, and how to score reasoning quality before shipping.
The field has evolved from crafting clever prompts to designing entire information systems for AI. Here's what context engineering means, why it matters, and how to start practicing it.
The 2026 playbook for AI system prompts in production. Covers prompt anatomy, agent tool-use rules, Claude/GPT/Gemini conventions, and worked examples.
PromptPerfect shuts down Sept 2026. Switch to PromptArch for guided prompt builders, quality scoring, and Claude/GPT/Gemini output. Your first prompt is free.
PromptArch v2 launches with the Context Engineering Studio: 12 artifact types for building system prompts, cursor rules, CLAUDE.md files, MCP tool descriptions, and more.
A comprehensive summary of the biggest AI and prompt engineering developments from late March 2026: Mistral Small 4, Gemini 3.1 Pro's distinct prompting rules, Claude Code auto mode, GPT-5.4 mini, and the formalization of context engineering.
A quick recap of the biggest AI and prompt engineering developments from the week of March 16-22, 2026, from GPT-5.4 to the rise of context engineering.
The latest techniques for getting the most out of AI models in 2026. Covers structured prompting, chain-of-thought reasoning, model-specific strategies, and the shift toward thinking models.
Learn the fundamentals of crafting effective AI prompts. From basic structure to common mistakes, this guide covers everything beginners need to get better results from ChatGPT, Claude, and other AI models.
Each major AI model responds differently to prompt structure. Learn the key formatting differences between ChatGPT, Claude, and Gemini to get the best results from each.
Understanding how prompt quality can be measured objectively. Learn what factors contribute to a high-quality prompt and how scoring systems help you write better AI instructions.
A deep dive into the academic research behind prompt engineering. Explore the evidence for structured prompting, chain-of-thought reasoning, and why prompt format affects AI output quality.
Deploy PromptArch as an internal tool across every area of your company. Get team accounts with shared preloaded credits and custom domains tailored to your organization.
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