Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors.
Available today at the same price.
Introducing Claude Opus 4.7, our most capable Opus model yet.
It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back.
You can hand off your hardest work with less supervision.
¡Cristo ha resucitado de entre los muertos y, con Él, también nosotros resucitamos a una vida nueva! Este anuncio pascual abraza el misterio de nuestra vida y el destino de la historia, y nos alcanza hasta en los abismos de la muerte. #Pascua
🚨Breaking: An Anthropic engineer (
@trq212
) just broke down how they actually use skills inside Claude Code — and it’s a completely different mindset.
Here’s the real system 👇
Skills are NOT text files.
They are modular systems the agent can explore and execute.
Each skill can include:
reference knowledge (APIs, libraries)
executable scripts
datasets & queries
workflows & automation
→ The agent doesn’t just read… it uses them
The best teams don’t create random skills.
They design them into clear categories:
• Knowledge skills → teach APIs, CLIs, systems
• Verification skills → test flows, assert correctness
• Data skills → fetch, analyze, compare signals
• Automation skills → run repeatable workflows
• Scaffolding → generate structured code
• Review systems → enforce quality & standards
• CI/CD → deploy, monitor, rollback
• Runbooks → debug real production issues
• Infra ops → manage systems safely
→ Each skill has a single responsibility
The biggest unlock is verification
Most people stop at generation.
Top teams build systems that:
simulate real usage
run assertions
check logs & outputs
→ This is what makes agents reliable
Great skills are not static.
They evolve.
They capture:
edge cases
failures
“gotchas”
→ Every mistake becomes part of the system
Another thing most people miss:
Skills are folders, not files.
This allows:
progressive disclosure
structured context
better reasoning
→ The filesystem becomes part of the agent’s brain
And the biggest mistake?
Trying to control everything.
Rigid prompts.
Micromanagement.
Over-constraints.
Instead:
provide structure
give high-signal context
allow flexibility
→ Let the agent adapt to the problem
The best teams treat skills like internal products:
Reusable.
Composable.
Shareable across the org.
That’s how you scale agents.
Not with better prompts.
But with better systems.
Save this. This is how AI actually gets useful.
Most developers treat Claude Code like a smarter autocomplete.
That's the wrong mental model.
It's actually a 4-layer engineering system:
1️⃣ CLAUDE.md → persistent project memory
Architecture, rules, team conventions
2️⃣ Skills → auto-invoked knowledge packs
Testing patterns, code review, deploy workflows
3️⃣ Hooks → deterministic guardrails
Security checks, formatting, automation
4️⃣ Agents → specialized sub-agents
Break complex tasks into parallel workflows
Once these are configured properly:
Claude stops behaving like a chatbot.
It starts behaving like a senior engineer on your team.
Most people never reach this level because they skip the setup.
The gap between average AI output and production-level results isn't the model.
It's the infrastructure around it.
Here’s the full breakdown on exactly how to build this 👇
🔃 RT if you think 🇨🇷@Andrey_Amador is the most combative rider of the 2nd week of the #TDF2023.
🔃 RT si tu penses que 🇨🇷@Andrey_Amador le coureur le plus combatif de la 2ème semaine du #TDF2023.
Solo dos ciclistas del Team Servetto siguen compitiendo en el Giro de Italia 2022 (carrera por etapas más exigente del mundo) y una de ellas es la costarricense Milagro Mena. Pese a sufrir varias caídas, la ciclista nacional continúa luchando. 🚴🏻♀️
¡Está haciendo historia! 🇨🇷
ÚLTIMA HORA: la Fórmula 1 decidió cancelar el Gran Premio de Rusia que se iba a realizar en septiembre. Toman esta decisión porque reprochan la invasión militar que se está ejecutando en Ucrania. 🏎️❌🇷🇺
https://t.co/9IZGjOapYU
Este ha sido el comportamiento de los casos activos por cantón en Costa Rica. El conteo inicia desde el momento en que el Gobierno empezó a detallar los casos confirmados, recuperados y fallecidos por cantón.