The article demonstrates how to use an AI Agent skill to generate a single‑file HTML presentation styled as a cyberpunk terminal console, eliminating the need for PowerPoint or design tools, and outlines suitable use cases, interactive features, example output, and the command‑line steps to install the skill.
The article analyzes the challenges of manual short‑video script creation and presents a seven‑module AI Skill that automates storyboard design, voiceover drafting, BGM suggestion, and subtitle styling, achieving a shift from hours of work to seconds while ensuring multi‑dimensional alignment.
This guide explains how to use the Skill Creator tool to generate automated trigger tests, compare skill‑enabled versus baseline performance, continuously evaluate results, apply checklists, debug with a six‑step process, avoid six common anti‑patterns, and manage skill versioning and reuse so that AI skills become progressively smarter.
The article clarifies that Codex Skills differ from plugins—plugins connect external resources while skills define how to act—and shows why many developers see no effect because they invoke skills incorrectly, use vague prompts, ignore context, or choose the wrong trigger mode.
PinMe is a zero‑configuration CLI that lets developers launch a front‑end, Cloudflare Worker backend, and D1‑style database with one command, supports layered updates, static‑only uploads, and even exposes a Claude Code skill for AI‑driven automation.
This article introduces an eight‑dimension quantitative framework for assessing AI Skills, detailing each metric—from metadata quality to scope focus—explaining weighted scoring, demonstrating evaluations on real Skills and comparative cases, and presenting a multi‑model cross‑validation process with four execution strategies to turn subjective judgments into measurable grades.
The article explains why generic AI is insufficient, defines a Skill as the minimal unit of specialized AI, and details a three‑layer knowledge‑distillation methodology—knowledge, logic, style—to build practical person‑ and book‑based AI Skills, illustrated with a complete Wang Yangming Skill implementation and common pitfalls.
A Beijing dumpling restaurant has open‑sourced an AI Skill that lets assistants query its location, menu, Wi‑Fi password and more via the MCP protocol, and the article explains the skill’s capabilities, technical implementation, and step‑by‑step usage instructions.
The article details the creation of the didi-ride-skill for OpenClaw, explaining how a single voice command triggers a full ride‑hailing workflow, the underlying MCP toolset, engineering trade‑offs such as file splitting, attention handling, cron isolation, key management, testing strategies, and future roadmap.
The article reviews three open‑source GitHub projects—nuwa.skill, yourself‑skill, and anti‑distill—that aim to distill a person’s thinking into AI‑driven digital twins, explore practical examples, and discuss how such tools can preserve personal knowledge while preventing corporate exploitation.
This guide walks you through the six common pitfalls of AI Skill development, presents best‑practice recommendations, outlines a five‑step production‑grade workflow, and showcases three complete real‑world Skill examples for operations, content publishing, and code review.
The article examines two open‑source Claude Code projects—colleague‑skill, which captures a departing teammate's knowledge into an AI‑driven Skill, and anti‑distill, which sanitizes that Skill to protect personal expertise—detailing their motivations, implementation, and community reaction.
This guide walks you through installing OpenClaw, configuring a Feishu chatbot, adding the Seedance video‑generation skill, and using it to create text‑to‑video or image‑to‑video content, including detailed steps, required permissions, code snippets, and supported AI models.
This tutorial walks through converting scattered UI code and design documents into structured, machine‑readable design tokens and AI‑callable skills, showing how to audit existing HTML/CSS, abstract design tokens, package them as an AI Skill, and maintain the system over time.
