MAROKO133 Eksklusif ai: How Anthropic’s ‘Skills’ make Claude faster, cheaper, and more con

📌 MAROKO133 Breaking ai: How Anthropic’s ‘Skills’ make Claude faster, cheaper, and

Anthropic launched a new capability on Thursday that allows its Claude AI assistant to tap into specialized expertise on demand, marking the company's latest effort to make artificial intelligence more practical for enterprise workflows as it chases rival OpenAI in the intensifying competition over AI-powered software development.

The feature, called Skills, enables users to create folders containing instructions, code scripts, and reference materials that Claude can automatically load when relevant to a task. The system marks a fundamental shift in how organizations can customize AI assistants, moving beyond one-off prompts to reusable packages of domain expertise that work consistently across an entire company.

"Skills are based on our belief and vision that as model intelligence continues to improve, we'll continue moving towards general-purpose agents that often have access to their own filesystem and computing environment," said Mahesh Murag, a member of Anthropic's technical staff, in an exclusive interview with VentureBeat. "The agent is initially made aware only of the names and descriptions of each available skill and can choose to load more information about a particular skill when relevant to the task at hand."

The launch comes as Anthropic, valued at $183 billion after a recent $13 billion funding round, projects its annual revenue could nearly triple to as much as $26 billion in 2026, according to a recent Reuters report. The company is currently approaching a $7 billion annual revenue run rate, up from $5 billion in August, fueled largely by enterprise adoption of its AI coding tools — a market where it faces fierce competition from OpenAI's recently upgraded Codex platform.

How 'progressive disclosure' solves the context window problem

Skills differ fundamentally from existing approaches to customizing AI assistants, such as prompt engineering or retrieval-augmented generation (RAG), Murag explained. The architecture relies on what Anthropic calls "progressive disclosure" — Claude initially sees only skill names and brief descriptions, then autonomously decides which skills to load based on the task at hand, accessing only the specific files and information needed at that moment.

"Unlike RAG, this relies on simple tools that let Claude manage and read files from a filesystem," Murag told VentureBeat. "Skills can contain an unbounded amount of context to teach Claude how to complete a task or series of tasks. This is because Skills are based on the premise of an agent being able to autonomously and intelligently navigate a filesystem and execute code."

This approach allows organizations to bundle far more information than traditional context windows permit, while maintaining the speed and efficiency that enterprise users demand. A single skill can include step-by-step procedures, code templates, reference documents, brand guidelines, compliance checklists, and executable scripts — all organized in a folder structure that Claude navigates intelligently.

The system's composability provides another technical advantage. Multiple skills automatically stack together when needed for complex workflows. For instance, Claude might simultaneously invoke a company's brand guidelines skill, a financial reporting skill, and a presentation formatting skill to generate a quarterly investor deck — coordinating between all three without manual intervention.

What makes Skills different from OpenAI's Custom GPTs and Microsoft's Copilot

Anthropic is positioning Skills as distinct from competing offerings like OpenAI's Custom GPTs and Microsoft's Copilot Studio, though the features address similar enterprise needs around AI customization and consistency.

"Skills' combination of progressive disclosure, composability, and executable code bundling is unique in the market," Murag said. "While other platforms require developers to build custom scaffolding, Skills let anyone — technical or not — create specialized agents by organizing procedural knowledge into files."

The cross-platform portability also sets Skills apart. The same skill works identically across Claude.ai, Claude Code (Anthropic's AI coding environment), the company's API, and the Claude Agent SDK for building custom AI agents. Organizations can develop a skill once and deploy it everywhere their teams use Claude, a significant advantage for enterprises seeking consistency.

The feature supports any programming language compatible with the underlying container environment, and Anthropic provides sandboxing for security — though the company acknowledges that allowing AI to execute code requires users to carefully vet which skills they trust.

Early customers report 8x productivity gains on finance workflows

Early customer implementations reveal how organizations are applying Skills to automate complex knowledge work. At Japanese e-commerce giant Rakuten, the AI team is using Skills to transform finance operations that previously required manual coordination across multiple departments.

"Skills streamline our management accounting and finance workflows," said Yusuke Kaji, general manager of AI at Rakuten in a statement. "Claude processes multiple spreadsheets, catches critical anomalies, and generates reports using our procedures. What once took a day, we can now accomplish in an hour."

That's an 8x improvement in productivity for specific workflows — the kind of measurable return on investment that enterprises increasingly demand from AI implementations. Mike Krieger, Anthropic's chief product officer and Instagram co-founder, recently noted that companies have moved past "AI FOMO" to requiring concrete success metrics.

Design platform Canva plans to integrate Skills into its own AI agent workflows. "Canva plans to leverage Skills to customize agents and expand what they can do," said Anwar Haneef, general manager and head of ecosystem at Canva in a statement. "This unlocks new ways to bring Canva deeper into agentic workflows—helping teams capture their unique context and create stunning, high-quality designs effortlessly."

Cloud storage provider Box sees Skills as a way to make corporate content repositories more actionable. "Skills teaches Claude how to work with Box content," said Yashodha Bhavnani, head of AI at Box. "Users can transform stored files into PowerPoint presentations, Excel spreadsheets, and Word documents that follow their organization's standards—saving hours of effort."

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🔗 Sumber: venturebeat.com

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📌 MAROKO133 Eksklusif ai: US’ airborne laser mine detection system that offers hig

A Virginia-based company has delivered the first Airborne Laser Mine Detection System (ALMDS) sensor pod to South Korea. Northrop Grumman’s system is expected to advance Seoul’s mine detection solutions.

Northrop claims that the ALMDS has a proven and effective capability that provides rapid detection and classification of mines in coastal waters, and is operated today by the U.S. Navy and the Japan Maritime Self-Defense Force.

Accurate target geolocation

ALMDS is capable of untethered day or night operations, allowing it to attain high area search rates, and provide users accurate target geolocation to support the neutralization of detected mines from a variety of helicopter platforms.

In 2023, Korea Aerospace Industries awarded the contract to Northrop Grumman to supply cutting-edge ALMDS technology. The American defense giant will also provide comprehensive technical support for the engineering, manufacturing and design phase of the Republic of Korea’s Korean Mine Countermeasures Helicopter (KMCH) program.

Advancing defense capabilities together with Korean industry

“ALMDS exemplifies Northrop Grumman’s ability to deliver trusted technology for critical missions, consistently performing where it matters most,” said Janice Zilch, vice president, multi-domain command and control programs, Northrop Grumman.

“Our collaboration with KAI shows our commitment to advancing defense capabilities together with Korean industry and delivering vital capabilities, ensuring the safety and security of our allies.”

ALMDS detects, classifies and locates mines

Manufactured in the United States, Northrop Grumman’s AN/AES-1 ALMDS detects, classifies and locates floating and near-surface moored mines.

Northrop Grumman has delivered 24 ALMDS units to the U.S. Navy and four units to the Japan Maritime Self-Defense Force, demonstrating Northrop Grumman’s leadership in discriminating technology as a cutting-edge solution for a complex challenge. 

The company revealed that ALMDS uses pulsed laser light and streak tube receivers housed in an external equipment pod to image the entire near-surface volume potentially containing mines. ALMDS is capable of day or night operations without stopping to stream out or recover equipment and without towing any equipment in the water.

ALMDS can conduct wide-area assessment of mine threats

With untethered operations, it can attain high area search rates. This design uses the forward motion of the aircraft to generate image data negating the requirement for complex scanning mechanisms and ensuring high system reliability. ALMDS also provides accurate target geo-location to support follow on neutralization of the detected mines, according to a press release.

In operations, the ALMDS can be integrated into the MH-60S helicopter to provide a rapid wide-area reconnaissance and assessment of mine threats in littoral zones, confined straits, choke points and amphibious objective areas for Carrier and Expeditionary Strike Groups (CSG/ESG). ALMDS will be embarked as part of the mine countermeasures (MCM) mission package on the new Littoral Combat Ship (LCS).

🔗 Sumber: interestingengineering.com

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