Claude Hadirkan Fitur Baru: Rekaman Layar+Suara, Satu Klik "Mendistilasi" Skill untuk Bekerja Menggantikan Anda

marsbitPublished on 2026-07-22Last updated on 2026-07-22

Abstract

Anthropic telah meluncurkan fitur "Record a Skill" pada aplikasi desktop Claude. Fitur ini memungkinkan pengguna Pro, Max, dan Team untuk membuat Skill yang dapat digunakan kembali hanya dengan merekam layar dan memberikan penjelasan suara tentang alur kerja mereka. Claude kemudian secara otomatis menganalisis rekaman dan menghasilkan Skill yang siap pakai, yang dapat dipanggil dengan perintah garis miring (/) dalam percakapan. Fitur ini secara signifikan menurunkan hambatan untuk mengotomatisasi tugas. Alih-alih harus menulis instruksi manual dalam Markdown, pengguna hanya perlu mendemonstrasikan dan menceritakan prosesnya. Hal ini tidak hanya menangkap langkah-langkah yang terlihat, tetapi juga logika dan pertimbangan tersembunyi yang disampaikan dalam narasi suara. Inovasi ini berpotensi mengubah manajemen pengetahuan dan operasi di tempat kerja, memudahkan pendokumentasian dan transfer keahlian. Namun, artikel ini juga menyoroti sisi lain: kemudahan dalam mengemas keahlian menjadi alur kerja otomatis dapat mengikis "parit pertahanan" pekerjaan tradisional. Kemampuan untuk melakukan suatu tugas menjadi kurang berharga dibandingkan kemampuan untuk melakukan hal-hal yang tidak dapat dengan mudah diajarkan atau diotomatisasi.

Sekarang, Anda bisa mendistilasi diri Anda sepenuhnya menjadi sebuah Skill melalui cara merekam layar + penjelasan suara.

Pada 21 Juli, Anthropic menambahkan item "Record a Skill" di menu + pada versi desktop Cowork Claude: rekam layar, lakukan operasi sambil menjelaskan dengan suara, setelah selesai merekam, Claude secara otomatis mengubah demonstrasi tersebut menjadi Skill yang dapat digunakan kembali.

https://x.com/claudeai/status/2079595988998554047

Fitur ini saat ini tersedia untuk pengguna Pro, Max, dan Team.

Uji Coba Langsung: Benar-Bisa Digunakan

Kami segera melakukan uji coba sederhana terhadap fitur ini.

Buka klien Claude, klik tombol [+] di kiri bawah kotak chat -> Skills -> Manage skills -> Add -> Record your screen, maka Anda dapat mulai menggunakan fitur baru ini.

Perlu diperhatikan, hindari memasukkan informasi sensitif pribadi seperti kata sandi teks biasa, kunci rahasia, API Key, informasi kartu kredit, dll. selama proses perekaman layar.

Pertama kali mungkin perlu memberikan izin rekam layar dan suara, setelah diizinkan, klik [Start Recording], maka Anda dapat memulai perekaman.

Anda hanya perlu mengulangi alur kerja lengkap Anda di komputer, menambahkan penjelasan lisan untuk logika operasi implisit yang diperlukan, sambil menghindari operasi yang tidak relevan (misalnya, menonton video pendek atau bermalas-malasan sambil menunggu hasil), klik untuk mengakhiri perekaman maka akan secara otomatis kembali ke antarmuka Claude Cowork untuk dianalisis dan dilakukan penyulingan Skill.

Setelah menunggu sejenak, Skill eksklusif Anda sudah jadi, klik [Save Skill] maka dapat langsung diterapkan ke Claude.

Saat mengobrol, gunakan perintah garis miring (/) untuk memanggil Skill tersebut agar dapat bekerja.

Tidak perlu penyesuaian berulang kali, Skill eksklusif yang baru jadi dapat langsung digunakan.

Bukan Hanya Alat Peningkatan Efisiensi

Kebanyakan pemberitaan mengategorikan "Record a Skill" (rekam layar untuk membuat Skill) sebagai "cara yang lebih mudah untuk membuat alur otomatisasi", tetapi pemahaman ini hanya berhenti di permukaan.

Sebelumnya, membuat Skill memerlukan penulisan manual file SKILL.md, menggunakan Markdown untuk menjelaskan langkah-langkah, kondisi pemicu, dan metadata dengan jelas.

Orang non-teknis harus berpikir seperti seorang perancang proses untuk menyelesaikan hal ini.

Tantangannya terletak pada menerjemahkan pengalaman implisit menjadi instruksi eksplisit.

Sedangkan sekarang, "Record a Skill" melewati tahap penerjemahan.

Fitur ini secara bersamaan menangkap operasi layar dan penjelasan suara, yang terakhir ini adalah kuncinya: Penjelasan dari pengguna akan secara alami mengungkap logika penilaian, situasi mana yang harus dilewati, format mana yang merupakan persyaratan keras dari klien, angka mana yang tidak biasa dan perlu diperiksa ulang secara manual.

Hal-hal seperti ini sulit ditulis menjadi manual operasi, tetapi dapat dipertahankan secara lengkap oleh sebuah rekaman layar.

"Record a Skill" melewati langkah "menulis".

Manajemen pengetahuan perusahaan telah menghabiskan dana selama puluhan tahun untuk membangun basis pengetahuan, menulis SOP, dan mengumpulkan pustaka praktik terbaik, inti permasalahannya selalu sama: Pakar tidak mau menulis dokumentasi, dan dokumentasi yang sudah ditulis pun tidak ada yang memelihara.

Ambang batas penjelasan dengan rekaman layar jauh lebih rendah dibandingkan menulis dokumentasi, Skill yang dihasilkan dapat dibaca manusia, dan AI juga dapat langsung menjalankannya.

Sisi Lain dari Rekaman Layar

Media teknologi MakeUseOf pada Maret tahun ini melaporkan sebuah kasus:

Seorang penulis lepas menggunakan Claude Cowork untuk menyusun alur kerja pembuatan konten selama proses serah terima kerja, memasukkan dokumen merek, panduan gaya, dan artikel-artikel lama yang sudah dikemas, lalu mengeluarkan kalender konten bulanan sesuai dengan proses Skill.

Saat serah terima, klien berkata:

Karena Anda akan pergi, bisakah Anda mengonfigurasikan ini agar kami bisa menjalankannya sendiri?

Lima tahun hubungan kerjasama digantikan oleh sebuah folder Skill.

https://www.makeuseof.com/claude-cowork-automated-away-job/

Kisah ini terjadi sebelum "Record a Skill" diluncurkan, masih menggunakan cara menulis Skill secara manual.

Pengajaran dengan rekaman layar membuat biaya operasi untuk hal yang sama semakin rendah: Tidak perlu memahami Markdown, tidak perlu mengabstraksikan proses, cukup lakukan sekali dan jelaskan sekali.

Data penelitian Harvard Business School pada Maret 2026 dapat menjadi catatan kaki untuk sisi lainnya: Perekrutan untuk posisi dengan paparan AI tertinggi turun 17%, sementara perekrutan untuk posisi yang memerlukan kolaborasi manusia-AI meningkat 22%.

https://www.hbs.edu/ris/Publication%20Files/25-039_05fbec84-1f23-459b-8410-e3cd7ab6c88a.pdf

Tapi arah yang didorong oleh "Record a Skill" sangat jelas: Parit pertahanan pekerjaan, bermigrasi dari "bisa mengerjakan" menjadi "bisa mengerjakan hal yang tidak bisa dilakukan orang lain".

Referensi: https://x.com/claudeai/status/2079595988998554047

Artikel ini berasal dari akun WeChat publik "Xin Zhi Yuan", penulis: ASI Apocalypse; Editor: Mark

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Related Questions

QApa yang dimaksud dengan fungsi "Record a Skill" baru di Claude?

AFungsi "Record a Skill" adalah fitur baru di aplikasi desktop Claude (Cowork) yang memungkinkan pengguna membuat Skill (keahlian/keterampilan yang dapat digunakan kembali untuk mengotomatisasi tugas) hanya dengan merekam layar dan memberikan penjelasan suara saat melakukan suatu alur kerja. Claude kemudian secara otomatis menganalisis rekaman dan membuat Skill yang dapat dipanggil kapan saja.

QBagaimana cara menggunakan fitur "Record a Skill"?

AUntuk menggunakan fitur ini, pengguna Pro, Max, atau Team membuka klien Claude, klik tombol [+], pilih "Skills", lalu "Manage skills", "Add", dan "Record your screen". Setelah memberikan izin perekaman layar dan suara, klik "Start Recording", lakukan alur kerja sambil menjelaskan secara verbal, lalu akhiri perekaman. Claude akan menganalisis dan membuat Skill siap pakai.

QMengapa fitur "Record a Skill" dianggap lebih dari sekadar alat peningkatan efisiensi?

AKarena fitur ini melewati hambatan terbesar dalam manajemen pengetahuan dan pembuatan prosedur operasi standar (SOP), yaitu mengubah pengalaman implisit menjadi instruksi eksplisit dengan menulis. Dengan merekam tindakan dan penjelasan verbal, logika keputusan, pengecualian, dan konteks yang sulit didokumentasikan tertangkap secara alami, sehingga pengetahuan praktis ahli lebih mudah diabadikan dan digunakan oleh AI.

QSiapa saja yang dapat mengakses fitur "Record a Skill" saat ini?

ASaat ini, fitur "Record a Skill" tersedia untuk pengguna Claude dengan paket berlangganan Pro, Max, dan Team.

QMenurut artikel, apa dampak potensial dari teknologi seperti "Record a Skill" terhadap pekerjaan?

ATeknologi ini mendorong pergeseran di mana nilai atau 'parit pertahanan' pekerjaan berpindah dari sekadar 'bisa melakukan' suatu tugas rutin menjadi 'bisa melakukan hal yang tidak dapat dilakukan orang lain'. Ini dapat mengotomatisasi dan mendistilasi keahlian tertentu, seperti yang dicontohkan kasus penulis lepas, namun juga meningkatkan permintaan untuk peran yang membutuhkan kolaborasi manusia-AI.

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What is SONIC

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While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

836 Total ViewsPublished 2025.01.14Updated 2025.01.14

What is AGENT S

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Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of S (S) are presented below.

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