The micro era's marvels are boundlessly subtle.
The author shares three practical techniques for correcting AI when it goes off course mid-task: checkpoint confirmation at each step, inspecting intermediate outputs, and replanning from scratch instead of patching, plus four signals indicating when to pause AI work.
The author argues that using AI for side hustles often just accelerates selling time rather than creating scalable products; true leverage comes from packaging repeatable expertise into reusable assets like Skills, templates, or workflows that can be sold repeatedly, illustrated by the author's own transition from freelance coding to productized knowledge on skillhub.cn.
This article explains how to configure WorkBuddy using three core components—context (session-specific inputs), memory (persistent rules via MEMORY.md), and skills (specialized capabilities invoked with @)—to transform it from a generic chatbot into a personalized assistant that understands your workflows, preferences, and recurring tasks.
A programmer pretends to be a non-coder and uses natural language to instruct WorkBuddy to clean, analyze, and visualize WeChat article data, discovering readers share personal stories more than technical content, proving that asking the right questions matters more than coding skills.
This tutorial demonstrates how to build a practical AI-powered knowledge base in WorkBuddy using a four-step loop—save, reference, edit, return—along with three container types (Markdown, CSV, HTML), common pitfalls like read-only uploads and local artifacts, and a ready-to-use directory structure for immediate productivity.
The author details a two-month experiment using WorkBuddy to automate five repetitive task categories — document filing, weekly reports, article drafting, boilerplate code, and scheduled jobs — cutting daily admin time from three hours to twenty minutes, sharing exact prompts, iteration lessons, and tasks where AI falls short.
This article recommends eight essential WorkBuddy skills for beginners, covering skill discovery, security scanning, web search, browser automation, and document processing (PDF, DOCX, XLSX, PPTX), explaining how each skill transforms AI from a chat tool into a practical workflow automation agent while advocating a minimalist approach to skill installation.
The author argues that AI is not a fleeting hype wave but a transformative era that reshapes how we process information, lowering technical barriers and enabling anyone to create software, with real‑world examples showing its impact across diverse professions.
This guide walks you through every step of publishing a SkillHub skill—including completing required frontmatter metadata, adding an icon, choosing between CLI and web upload, passing the platform's security review, and avoiding common pitfalls—so your skill can go live on the first try.
This guide walks you through creating a fully functional AI Skill without writing code, covering concept clarification, folder setup, SKILL.md authoring, reference file preparation, testing, publishing, and common pitfalls to avoid.
