🚨 STOP SCROLLING — If You’re Using Claude AI Without Knowing These Techniques, You’re Probably Using Only a Small Part of What It Can Do. Most people use Claude like a normal chatbot: Ask a question → get an answer → move on. But Claude can be used for much more than simple Q&A. This Claude AI Cheat Sheet brings together the models, prompting techniques, project workflows, artifacts, MCP/connectors, Claude Code, skills, hooks, prompt templates, tools, and learning resources you need to build a much more effective AI workflow. Here’s the breakdown 👇

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1️⃣4️⃣ Learn Directly From Anthropic The final section includes learning resources covering areas such as: • Claude fundamentals • Claude Code • API fundamentals • Prompt engineering • Real-world prompting • Tool use • MCP servers • AI fluency If you want to move beyond basic “ask AI a question” usage, these concepts are worth learning.

1️⃣3️⃣ Tools You Can Use With Claude The cheat sheet also highlights tools for: • Regex • UI/design workflows • Research • Presentations • Visual design • Voice/audio • Workflow automation • Organization and management

1️⃣2️⃣ Best Prompt Starters Save these prompt structures: “Act as [role] and then…” “Explain [topic] like I’m 10.” “Compare [A] vs [B] in a table.” “Rewrite this to be more [tone].” “Find 5 problems with this [idea].” “Create a step-by-step plan for [goal].” “Summarize this in 3 bullet points.” “Generate 10 ideas for [topic].” “Debug this code and explain the fix.” These simple frameworks can make your prompts much more specific.

1️⃣1️⃣ Claude Products The cheat sheet also gives an overview of different Claude experiences, including: • Web chat • Desktop app • Mobile app • Claude Code • Cowork • API • Claude in Chrome • Claude in Excel Each can fit a different workflow.

🔟 Skills + Hooks — Build Repeatable Workflows Instead of giving the same instructions again and again, reusable skills and hooks can help structure recurring workflows. This is especially useful when you're building more advanced AI-powered processes.

9️⃣ Claude Code — For Developers Claude Code is designed for software-development workflows. It can help with: • Understanding codebases • Writing code • Debugging • Testing • Git workflows • Commands • Larger development tasks • Working with project context

8️⃣ MCP + Connectors — Connect AI to External Tools The cheat sheet also introduces MCP (Model Context Protocol). The idea is to connect Claude with external tools and data sources so AI workflows can work with information outside the conversation. Examples shown include integrations involving: • Google Drive • Gmail • Calendar • Slack • GitHub • Figma • Asana • PostgreSQL

7️⃣ Artifacts — Create More Than Text Claude can work with structured outputs such as: • Interactive code • Documents • Visualizations • HTML • Markdown • SVG • Mermaid diagrams • React components This makes Claude useful not only as a chatbot, but also as a workspace for creating things.

6️⃣ Projects — Keep Your AI Work Organized Projects can help you keep related conversations and information together. You can use them for: • Client work • Content creation • Research • Business projects • Coding projects • Study materials • Long-term workflows Instead of repeatedly explaining the same context, keep the relevant information within the project.

5️⃣ Zero-Shot vs One-Shot vs Few-Shot Want Claude to understand exactly what you mean? Give it examples. Zero-shot: “Write 15 CTAs about [topic].” One-shot: Give Claude one example of the style you want. Few-shot: Give Claude several examples and ask it to follow the same pattern. 💡 More relevant examples = clearer instructions for the model.

4️⃣ Learn Different Prompt Types Different tasks need different approaches. • Open-ended → Explore ideas • Multiple choice → Get specific selections • Fill-in-the-blank → Complete structured information • Comparison → Compare A vs B • Scenario → Ask Claude to work within a situation • Instructional → Explain how to accomplish something • Feedback → Review and improve existing work

3️⃣ Role + Task + Format One powerful way to structure a prompt is: Role → Task → Format For example: Role: Act as a senior data analyst. Task: Analyze this dataset and identify the main trends. Format: Present the findings in a table with key insights. This gives Claude a clearer target instead of leaving the output completely open-ended.

2️⃣ Prompting Techniques — Don’t Just Ask, Instruct Instead of writing: ❌ “Write a marketing post.” Try giving Claude more structure: ✅ “Act as a senior marketing strategist. Create a professional LinkedIn post about [topic]. Use a strong opening, 3 key insights, and finish with a clear CTA.” Useful techniques include: • Role prompting • Chained prompts • Adding examples • Step-by-step instructions • Style control • Structured outputs

1️⃣ Claude Models — Know Which One to Use Different models are designed for different workloads. • Opus → Complex reasoning, difficult problems, research • Sonnet → Everyday work, writing, coding, analysis • Haiku → Fast and lightweight tasks Choosing the right model can make a difference in speed, cost, and output quality.

30 AI algorithms every data scientist should know. 🤖📊 Master the right algorithms, and turn data into smarter decisions. Follow me @alexhalescoder for more AI information Which one are you learning next? 👇

🚨 BREAKING: Claude can now build your entire mobile app like a professional development team — for free. Use these 8 prompts to plan, design, code, test, and launch mobile apps faster than most developers and agencies. (🔖 Save this before your next app idea).

🚨 I JUST TESTED CHATGPT-6 ASTRA ON STOCKS. It can break down companies, compare stocks, analyze financials, and help spot potential market signals in seconds. Here are the 7 prompts I used: