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How to design your career beyond the cubicle | Sreenidhi Rajakrishnan | TEDxPSNACET
TEDx Talks· 2026-02-18 16:13
Hello PSNA. Good afternoon. What a great speech to begin the afternoon with.Wow, how blind have we been. I feel blind at this moment standing in front of you guys. Sir, thank you so much for that inspirational speech.Of all the speeches I've heard, the best one yet. All right, let me see if I can give some of inspiration from my end to you this afternoon. My story begins with my rural roots from the same district if you guys could relate.I am from Parini not far from here. I did all my schooling there. And ...
Challenges and Learning, A Social Sector Perspective. | PN NAYAK | TEDxThe Lawrence School Lovedale
TEDx Talks· 2026-02-13 16:25
Good evening. So yeah, I'm going to be speaking about how challenges look from the vantage point of a social enterprise. So we are a social sector organization.I represent Desh Pande Foundation and Alina who spoke before me has made my job a lot easier. So any uh challenges are there all around and in fact without challenges uh life wouldn't be what it is. But then uh challenges or problems at a societal level uh how do societies deal with it.So society is made out of individuals you, me. How do individuals ...
X @CoinMarketCap
CoinMarketCap· 2026-02-12 09:00
Essential skills. https://t.co/0HRVQIGEel ...
How PMs use the Codex app
OpenAI· 2026-02-09 21:48
As PM of the team, I don't code that often, so I like rarely understand the code that's being edited, like and the code around the code that's being edited. So I kind of want to read up on that before I look stupid in front of the team. I actually want to be kind of careful, like when you decide to tag any engineer or even when you want to file a ticket.In this case, I saw, you know, there was this button and it was kind of confusing as to what it did. So my gut, my immediate thing is to say, okay, what doe ...
Use Clawdbot like a PRO (Advanced Use Cases)
Matthew Berman· 2026-02-05 18:45
I started using Claudebot as an experiment. It has quickly become one of the most important pieces of technology in my life. And if you haven't heard of Claudebot, it has been going absolutely viral.It is the most personal and capable AI assistant that I have ever seen. It allows you to get real tasks done by connecting the different services that you use like Gmail, Telegram, Asauna, Slack. Everything can be connected together and you just chat with your personal assistant with your Claudebot directly thro ...
X @Forbes
Forbes· 2026-01-28 17:30
7 Remote Work Skills You Need To Keep From Falling Behind In 2026https://t.co/yOGgA2lLc6 ...
"Skills are the new currency of the Future" | Dinesh Pathak | TEDxIETLucknow
TEDx Talks· 2026-01-26 17:38
हो मायूस नहीं शाम सा रहिए जिंदगी भोर है सूरज सा निकलते रहिए जिंदगी ठाव में ठहरेंगे तो थक जाएंगे धीरेधीरे सही राह पे चलते रहिए। [प्रशंसा] कवि डॉक्टर कुंवर बेजैन साहब की इसी रचना के साथ बीरबल लक्ष्मण की इस धरती को मैं प्रणाम करूंगा। आप सबको प्रणाम करूंगा। स्वागत वंदन अभिनंदन करूंगा। मेरा नाम दिनेश पाठक है। बच्ची ने बता दिया है। मैं एक स्टूडेंट हूं। आप में से तमाम लोगों की तरह जर्नलिस्ट हूं। पेशे से करियर कोच हूं। केसेस लोग कहते हैं कि मुझे नहीं पता लेकिन इन सारी भूमिकाओं को मैं रोज जी रहा हूं और पूरे मन से शि ...
爆火的Skills如何给大模型加入“技能”?记者实测
Bei Ke Cai Jing· 2026-01-22 02:09
Core Concept - The emergence of "Skills" in AI represents a paradigm shift, allowing users to encapsulate specific tasks into callable modules, enhancing the functionality of large models in practical applications [1][2]. Group 1: Understanding Skills - Skills address the limitation of general AI, which can understand concepts but struggles with practical execution due to the scattered nature of operational knowledge [2][10]. - The concept originated from the AI model Claude, which introduced "Claude Skills" to enable repeatable task completion based on organizational workflows and brand standards [2][3]. - Skills can be seen as standardized modules that encapsulate multiple prompts, making it easier for users to create and utilize them without extensive programming knowledge [3][4]. Group 2: Adoption and Implementation - Major tech companies, including OpenAI, Microsoft, and Tencent, have quickly adopted the Skills framework, indicating a rapid shift in the AI landscape [4][6]. - The Skills feature was initially a niche tool but gained widespread attention and usage, with significant growth in related code repositories on platforms like GitHub [6][10]. - Users can create Skills through natural language, allowing non-programmers to develop their own modules, which has contributed to its popularity [3][10]. Group 3: Practical Applications - An example of a Skill is a "PDF processing skill," which includes instructions for recognizing fields, handling layouts, and error checking, streamlining document processing tasks [3][11]. - Skills can be iteratively improved based on user feedback, allowing for the refinement of outputs to better meet specific requirements [7][8]. - The ability to store and recall user preferences within Skills reduces the need for repetitive input, enhancing efficiency in task execution [8][10]. Group 4: Future Implications - The future of Skills may significantly impact organizational competitiveness, as the ability to convert tacit knowledge into standardized modules could become a key differentiator [10][11]. - A mechanism called "Progressive Disclosure" is designed to optimize computational efficiency by loading only necessary information when required, thus minimizing resource consumption [10][11]. - While Skills democratize access to AI capabilities, there are concerns about potential risks associated with user-generated content, highlighting the importance of creating proprietary Skills for security [10][11].
从入门到用好 Agent Skills,看这一篇就足够了
Founder Park· 2026-01-21 05:52
Core Insights - Claude Skills have gained significant popularity, surpassing MCP, with various CLI clients supporting them and products like扣子 and MiniMax launching similar offerings [2] - The value of Claude Skills is still greatly underestimated, as a well-designed Skill can match or exceed the intelligence of complete AI products [3][4] - Skills allow non-technical users to create their own applications, demonstrating the potential for widespread adoption and innovation in AI [4][5] Group 1: Understanding Skills - Skills are modular capabilities that extend the functionality of AI Agents, packaging instructions, metadata, and optional resources for automatic use [22][24] - The architecture of Skills resembles a comprehensive SOP package for task delegation, enabling Agents to execute tasks reliably [24][28] - Skills can be seen as an extension of general Agents, allowing them to perform specialized tasks by loading different Skills [14][16] Group 2: Value and Future of Skills - Skills represent a future-oriented approach to AI applications, enabling Agents to autonomously understand and execute tasks based on human-provided guidelines [28][30] - The design of Skills allows for zero-code development, making it accessible for non-technical users to create intelligent Agents [31][34] - Skills can be combined flexibly, allowing multiple Skills to work together to complete complex tasks [68][69] Group 3: Implementation and Usage - The article provides a comprehensive guide on how to create and use Skills, emphasizing the ease of development and the potential for rapid testing of ideas [105][130] - Users can install Skills from repositories or create their own using tools like skill-creator, which simplifies the development process [121][130] - The article outlines scenarios where Skills are particularly beneficial, such as when specific knowledge or templates are required for task completion [139][141]
Skills 即个人资产
3 6 Ke· 2026-01-20 10:49
Core Insights - The concept of "skills" in the AI context has evolved to represent "operational manuals" and "capability plugins" for AI systems, allowing users to streamline repetitive tasks and enhance efficiency [1][7][20] Group 1: Skills and Their Implementation - Skills are unique tools that encapsulate individual needs, enabling users to automate tasks such as writing and data processing [3][4] - Users can create specialized skills by packaging their expertise into AI systems, which can then execute tasks with minimal input [6][12] - The process of "atomizing" core skills into reusable skill packages allows for significant time savings and efficiency gains [7][13] Group 2: Key Components for AI Efficiency - Three essential components for building a digital workforce in 2026 are MCP (Managed Control Protocol), Skills, and Subagents [8][11] - MCP provides AI with access to local data, while Skills define the professional standards and instructions for task execution [9][10] - Subagents enable AI to manage complex tasks by breaking them down into smaller, independent tasks, improving overall workflow management [11][12] Group 3: Market Trends and Future Outlook - The AI agent market is projected to reach $4.71 billion by 2030, with skills packages expected to capture 15% to 20% of this market, indicating rapid growth in this sector [22] - Major tech companies are developing standardized skills to create a competitive advantage, akin to the evolution of USB interfaces [20][21] - The future of AI tools is moving towards "intention-driven" operations, where users can express vague ideas, and the system automatically selects the most appropriate skills to execute tasks [23][24]