Claude Cheatsheet — Learn It in One Read
A quick-reference guide to understanding and using Claude (by Anthropic) effectively.
📋 Quick reference: Claude →Everything else in this cheatsheet is detail on one loop: a well-specified prompt goes to the model tier that matches the task, comes back as a draft, and gets refined by iterating — not by re-prompting cold each time.
1. What Claude Is
Claude is a family of large language models (LLMs) built by Anthropic. It's a text-in, text-out (and now multimodal) AI assistant that can reason, write, code, analyze, and hold conversations. Think of it as a very capable, general-purpose "thinking partner" you interact with through natural language.
2. The Model Lineup (know the tiers)
Anthropic ships models in size/speed tiers, refreshed periodically:
| Tier | Best for |
|---|---|
| Haiku | Fast, cheap, lightweight tasks (chat, simple Q&A, high-volume use) |
| Sonnet | Balanced — strong reasoning + good speed. Default workhorse for most tasks |
| Opus | Most capable, slower/costlier — deep reasoning, complex multi-step work |
| Mythos (newest tier, above Opus) | Frontier-level capability, limited/gated availability |
Higher tier = smarter but slower & pricier. Pick based on task complexity, not habit.
3. Where You Can Access Claude
- Claude.ai — web/desktop/mobile chat interface (what most people use)
- Claude API — for developers building apps on top of Claude
- Claude Code — agentic coding tool (terminal, desktop, or IDE) for delegating dev tasks
- Claude Cowork — agentic tool for non-dev knowledge work
- Claude in Chrome / Excel / PowerPoint — task-specific agents inside those apps
- Claude Tag — Slack integration to tag @Claude into a channel
4. Core Capabilities
- Conversation & reasoning — multi-turn dialogue, step-by-step problem solving
- Writing — drafting, editing, summarizing, rewriting in different tones/styles
- Coding — writing, debugging, explaining code across languages
- Analysis — reading documents, spreadsheets, PDFs, images and reasoning over them
- Search & research — can browse the web for current info when needed
- File creation — docs, spreadsheets, slides, PDFs, code files
- Artifacts — generates standalone interactive content (apps, diagrams, visualizations) alongside the chat
5. Prompting 101 (the highest-leverage skill)
Be clear and specific. Vague prompts get vague answers.
❌ "Write about marketing" ✅ "Write a 300-word LinkedIn post about why small SaaS companies should invest in SEO, casual tone, include one stat"
Give it a role/context when it helps calibrate tone or expertise:
"You're reviewing this code as a senior backend engineer focused on security."
Show examples (few-shot). If you want a specific format, show 1–2 examples of input → output.
Ask for step-by-step reasoning on hard problems:
"Think through this step by step before giving the final answer."
Iterate. Treat the first response as a draft — refine with follow-ups rather than starting over.
Specify format explicitly — length, structure, tone, whether you want bullet points, tables, or prose.
Break big tasks into smaller ones. Multi-step chains beat one giant ask.
6. Things Claude Is Good At vs. Not
Good at:
- Reasoning through ambiguous, open-ended problems
- Long-form writing and editing
- Explaining complex topics simply
- Coding, debugging, refactoring
- Synthesizing/summarizing large amounts of text
Weaker at / be careful with:
- Perfect recall of very recent events (has a knowledge cutoff — but can search the web when needed)
- Guaranteed factual accuracy on niche/obscure claims — verify anything high-stakes
- Math requiring exact precision on very large calculations (better to have it use code execution)
- Won't help with malware, weapons uplift, or generating harmful/illegal content
7. Quick Best-Practice Checklist
- State your goal, not just the topic
- Give constraints (length, tone, audience, format)
- Provide relevant context/documents upfront
- Ask for reasoning on complex/ambiguous problems
- Iterate instead of re-prompting from scratch
- For code/data tasks, let it use tools (code execution, file creation) rather than doing math in its head
- Double-check high-stakes factual or numeric claims
8. One-Line Summary
Claude is a reasoning-first AI assistant — the better and more specific your instructions, the better its output; treat it like a smart collaborator, not a search engine.