Introducing Claude Design by Anthropic Labs: make prototypes, slides, and one-pagers by talking to Claude.
Powered by Claude Opus 4.7, our most capable vision model. Available in research preview on the Pro, Max, Team, and Enterprise plans, rolling out throughout the day.
4 tahun lalu gua kerja pegang project grabfood. Ada Tukang Ketoprak deket rumah gua, liat gua balik kerja pake lanyard grab pas gua lg beli balik kerja. Dia tanya “Masnya kerja di grab” Gua jawab ajah “Iya Pak” dia minta tolong daftarin grabfood biar rame Ketopraknya.
Warga Dusun Sendang, Desa Sepanjang, Tawangmangu, Kabupaten Karanganyar diteror dengan kemunculan sosok macan tutul di permukiman warga lereng Gunung Lawu.
Macan tutul itu sudah turun gunung dalam beberapa hari terakhir. Dimungkinkan ada dua ekor satwa liar yang masuk ke permukiman warga, besar dan kecil. Dilaporkan, sudah ada enam ekor ayam milik warga yang diduga disantap macan tutul tersebut Selasa 3/3/2026
Prompt engineering is dead.
Anthropic recently released the real playbook for building AI agents that actually work.
It’s a 30+ page deep dive called The Complete Guide to Building Skills for Claude and it quietly shifts the conversation from “prompt engineering” to real execution design.
Here’s the big idea:
A Skill isn’t just a prompt.
It’s a structured system.
You package instructions inside a SKILL .md file, optionally add scripts, references, and assets, and teach Claude a repeatable workflow once instead of re-explaining it every chat.
But the real unlock is something they call progressive disclosure.
Instead of dumping everything into context:
• A lightweight YAML frontmatter tells Claude when to use the skill
• Full instructions load only when relevant
• Extra files are accessed only if needed
Less context bloat. More precision.
They also introduce a powerful analogy:
MCP gives Claude the kitchen.
Skills give it the recipe.
Without skills: users connect tools and don’t know what to do next.
With skills: workflows trigger automatically, best practices are embedded, API calls become consistent.
They outline 3 major patterns:
1) Document & asset creation
2) Workflow automation
3) MCP enhancement
And they emphasize something most builders ignore: testing.
Trigger accuracy.
Tool call efficiency.
Failure rate.
Token usage.
This isn’t about clever wording.
It’s about designing an execution layer on top of LLMs.
Skills work across Claude, Claude Code, and the API. Build once, deploy everywhere.
The era of “just write a better prompt” is ending.
Anthropic just handed everyone a blueprint for turning chat into infrastructure.
Download the guide here: https://t.co/Bf3j0GFRGu