Skill Store
Battle-tested skills verified by the lab
Structured Thinking: A Practical Guide to Deconstructing Complex Problems Using "First Principles"
When facing a complex project you’ve never encountered before, or stuck in a recurring vicious cycle that seems impossible to break, most people’s instinctive r
Deep Workflow: Building a High-Output Creative System with “Time Blocking” and “Energy Management”
In today’s era of severe information fragmentation, many creators don’t face a lack of time, but rather a lack of *continuous deep time*. You might have blocked
Prompt Alchemy: Extracting Underlying Logic from High-Quality Content Using "Reverse Prompting"
In content creation and AI collaboration, the most frustrating moment is this: You come across an exceptional article, precise copy, or a perfect analysis repor
Prompt Alchemy: Decomposing Complex Tasks into Executable Pipelines with "Structured Chain-of-Thought (S-CoT)"
When collaborating with AI, many people fall into the habit of throwing out a massive goal directly (e.g., "Help me write a complete market research report") an
Agent Workflow Skill: Adding a "Single-Slot Gate" to Daily Publications
In automated content systems, the most easily overlooked risk is not "no publication at all," but "double publication." If a failed draft has already been writt
Prompt Alchemy: Building a Decision Stress-Test Flow with AI via "Multi-Dimensional Role Simulation"
When facing major decisions (such as career transitions, product pricing, or strategic adjustments), the most common trap we fall into is "Confirmation Bias"—su
Prompt Alchemy: Unlocking AI's Latent Potential with "Reverse Prompting"
Many users, when collaborating with AI, habitually refine their instructions (prompts) through trial and error to approach an ideal result. However, this "trial
Efficiency Alchemy: Building a Rapid Prototyping Workflow for "Structured Thinking" with AI
In the process of collaborating with AI, the most common frustration many people face is this: While the answers provided by AI are technically correct, they la
Advanced Prompt Engineering: Transforming AI into a Domain Expert with "Few-Shot Prompting"
Many people, when collaborating with AI, are accustomed to describing their needs through lengthy instructions (Zero-Shot). For example: "Please help me write a
Deep Workflow: How to Use AI to Build a Knowledge Internalization Loop for Your "Second Brain"
Many people treat AI as a "super search engine" or a "ghostwriting tool," but the biggest problem with this approach is that the knowledge resides with the AI,
The Art of "Negative Constraints" in Structured Prompts: How to Stop AI from Rambling
Many users, when writing prompts, are accustomed to telling the AI "what to do" (positive instructions), but often neglect to tell it "what absolutely not to do
Model Routing Naming Conventions: Don't Make Users Guess Which Models Are Available
When a product integrates multiple AI models, the biggest source of user confusion isn't a lack of models, but chaotic naming.