Tagged articles

Skill engineering

19 articles · Page 1 of 1

Jul 26, 2026 · Artificial Intelligence

Three Practical Ways to Turn Your Experience into an AI Skill Workflow

The article outlines three concrete methods for converting existing results, repeated tasks, or documented SOPs into reusable AI Skills, provides a universal skill template, explains where to store skill files, and showcases four ready‑to‑use skill examples, helping teams build stable, repeatable AI workflows.

AI WorkflowPrompt reuseSkill engineering

0 likes · 14 min read

Three Practical Ways to Turn Your Experience into an AI Skill Workflow

PMTalk Product Manager Community

Jul 19, 2026 · Artificial Intelligence

Three Practical Ways to Turn Your Experience into Reusable AI Skills

The article explains why repeating prompts is inefficient, defines a Skill as a reusable SOP for AI, and presents three concrete methods—reverse‑engineering from results, completing a task then summarising, and writing a work‑instruction for AI optimisation—along with templates, storage tips, and real‑world Skill examples.

AI WorkflowAI toolsCodex

0 likes · 13 min read

Three Practical Ways to Turn Your Experience into Reusable AI Skills

Frontend AI Walk

Jul 4, 2026 · Artificial Intelligence

How I Distilled My Coding DNA from 694 Git Commits into an AI‑Powered Coding Twin

The article details a systematic process that extracts personal coding habits from 694 Git commits across 18 projects using automated Git mining, documentation scans, and structured self‑reflection, then organizes the insights into a six‑layer, business‑agnostic skill that lets an AI assistant generate code exactly in the author's style.

AI CodingPrompt engineeringSkill engineering

0 likes · 16 min read

How I Distilled My Coding DNA from 694 Git Commits into an AI‑Powered Coding Twin

Frontend AI Walk

Jun 26, 2026 · Artificial Intelligence

How to Let AI Skills Self‑Improve: L4 Evolution Design Principles from Autoresearch

The article defines L4 evolution as human‑defined boundaries plus automated agent exploration, introduces three core design principles from Karpathy’s Autoresearch—single modification surface, fixed evaluation standards, and human‑set boundaries—and shows how to apply them with a seven‑step skill‑engineering pipeline, tool comparisons, and a ratchet keep/revert mechanism.

AI agentsContinuous IntegrationL4 evolution

0 likes · 26 min read

How to Let AI Skills Self‑Improve: L4 Evolution Design Principles from Autoresearch

Frontend AI Walk

Jun 24, 2026 · Artificial Intelligence

Turning Static AI Agent Skills into Dynamic, Testable, Iterable Workflows

This article explains how to extend a static AI Agent Skill defined in SKILL.md with a dynamic Workflows layer, add trajectory evaluation for deterministic execution, and provides concrete JavaScript examples, directory structures, anti‑patterns, and a step‑by‑step validation checklist to make Skills runnable, testable, and iteratively improvable.

AI agentsCI integrationJavaScript

0 likes · 24 min read

Turning Static AI Agent Skills into Dynamic, Testable, Iterable Workflows

ThinkingAgent

Jun 18, 2026 · Artificial Intelligence

Evolving AI Skills Yield 116% Accuracy Boost – From Handwritten Prompts to Autonomous Creation

The 2026 Memento‑Skills system lets AI agents create and refine their own Skills, boosting General AI Assistants accuracy by 26.2% and Humanity's Last Exam accuracy by 116.2%, while outlining three generations of Skill evolution, self‑evolution frameworks, benchmark results, practical applications, and best‑practice guidelines for technical leaders.

AI agentsBenchmarkingSelf-Evolving Systems

0 likes · 17 min read

Evolving AI Skills Yield 116% Accuracy Boost – From Handwritten Prompts to Autonomous Creation

Frontend AI Walk

Jun 11, 2026 · Artificial Intelligence

Do AI Skills Have a Methodology? From Scientific Foundations to Design Patterns

The article argues that building AI Agent Skills follows a nascent methodology built on three scientific principles—In‑Context Learning, attention distribution, and bounded rationality—organized into three methodological streams (design‑driven, engineering‑driven, auto‑optimization) and distilled into six reusable design patterns, with a roadmap for future evolution.

AI AgentBounded RationalitySkill engineering

0 likes · 13 min read

Do AI Skills Have a Methodology? From Scientific Foundations to Design Patterns

Frontend AI Walk

Jun 10, 2026 · Artificial Intelligence

Skill vs SOP: Engineering AI Agent Skills with a Vulnerability‑Matching Framework

The article explains how to engineer AI Agent Skills by matching instruction precision to task vulnerability, distinguishing when to apply strict SOP controls versus flexible Skill logic, and provides a decision tree, progressive disclosure, context budgeting, Gotchas, and best‑practice examples for robust, reusable assets.

AI AgentGotchasSOP

0 likes · 21 min read

Skill vs SOP: Engineering AI Agent Skills with a Vulnerability‑Matching Framework

Yunqi AI+

Jun 4, 2026 · Industry Insights

How AI Adoption Is Redefining Middle Management: From Experience to Capability Building

The article analyzes how enterprise AI rollout transforms middle managers from traditional experience‑based overseers into architects of reusable organizational capabilities such as Skills and Agents, reshaping responsibilities, decision‑making and the overall structure of the company.

AI adoptionAgent engineerKnowledge Management

0 likes · 11 min read

How AI Adoption Is Redefining Middle Management: From Experience to Capability Building

Frontend AI Walk

May 11, 2026 · Artificial Intelligence

From Personal Prompts to a Team Production Line: A 0‑to‑1 Guide for Skill Engineering

This article presents a step‑by‑step method for turning scattered personal prompt knowledge into versioned, testable, and shareable AI workflow assets, covering directory conventions, description design, test case creation, Bad Case feedback loops, Git management, team sharing mechanisms, and a 30‑day rollout plan.

AI WorkflowPrompt engineeringSkill engineering

0 likes · 22 min read

From Personal Prompts to a Team Production Line: A 0‑to‑1 Guide for Skill Engineering

Linyb Geek Road

Apr 24, 2026 · Artificial Intelligence

How Anthropic Engineers Turn Skills into Stable, Reusable Agent Assets

AI teams often waste effort on prompts that break in new scenarios, but Anthropic engineers show that upgrading prompts to engineered "Skills"—standardized work units with documentation, scripts, and validation—enables agents to reliably reuse team experience across workflows.

AI AgentAnthropicClaude

0 likes · 12 min read

How Anthropic Engineers Turn Skills into Stable, Reusable Agent Assets

AI Illustrated Series

Apr 22, 2026 · Artificial Intelligence

Mastering AI Agent Skills: From Concept to Hands‑On Implementation

This guide explains what Agent Skills are, how they differ from traditional prompts, the three core design mechanisms, step‑by‑step creation of a Skill—including file structure, YAML metadata, and markdown instructions—plus advanced tips, real‑world use cases, and troubleshooting advice.

AI agentsAgent SkillsKnowledge Management

0 likes · 30 min read

Mastering AI Agent Skills: From Concept to Hands‑On Implementation

Big Data and Microservices

Apr 15, 2026 · Artificial Intelligence

Prompt vs Skill: Why Skill Engineering Is the Next Leap in AI Productivity

This article compares Prompt engineering and Skill engineering, explaining their fundamental differences, design goals, reusability, context usage, security, and best‑fit scenarios, and shows how moving from one‑off prompts to reusable Skill packages can dramatically boost AI efficiency and scalability.

AI agentsPrompt engineeringSkill engineering

0 likes · 11 min read

Prompt vs Skill: Why Skill Engineering Is the Next Leap in AI Productivity

Architect's Tech Stack

Apr 7, 2026 · Artificial Intelligence

How to Build a Colleague‑Mimicking AI Agent with Claude Code

This article introduces the open‑source "colleague‑skill" project, explains how it parses chat logs and documents into reusable AI skills that emulate a coworker's tone and behavior in Claude Code, and provides detailed usage examples, installation steps, and practical considerations.

AI AgentClaudeLLM

0 likes · 5 min read

How to Build a Colleague‑Mimicking AI Agent with Claude Code

Tencent Technical Engineering

Mar 23, 2026 · Artificial Intelligence

How to Turn AI into a Reliable S‑Level Web‑Testing Engineer: 4 Hard‑Earned Lessons

The article explains why powerful AI models still fail complex web‑testing tasks without proper business SOPs, and presents four concrete engineering lessons—limited context, explicit step definitions, checklist‑driven validation, and iterative self‑revision—to train an AI into a dependable, self‑checking S‑grade testing employee.

AIChecklistIterative Development

0 likes · 18 min read

How to Turn AI into a Reliable S‑Level Web‑Testing Engineer: 4 Hard‑Earned Lessons

AI Architecture Hub

Mar 21, 2026 · Artificial Intelligence

Turning Prompts into Reusable Skills: Anthropic’s Blueprint for Agent Engineering

This article explains how Anthropic engineers “Skill” as a standardized, file‑based work unit that transforms fragile prompt tricks into reusable, reliable assets for AI agents, covering definition, design principles, file system layout, stability mechanisms, distribution strategies, and practical team adoption guidelines.

AI agentsAgent reuseAnthropic

0 likes · 12 min read

Turning Prompts into Reusable Skills: Anthropic’s Blueprint for Agent Engineering

TonyBai

Mar 15, 2026 · Artificial Intelligence

Why Your OpenClaw Skills Keep Making AI Fail—and How to Fix Them

The article explains why many developers' OpenClaw skills cause AI agents to stall or hallucinate, identifies three common pitfalls in skill description, command style, and control flow, and offers a systematic, high‑level approach to mastering skill engineering and batch‑creating reliable AI skills.

AI agentsOpenClawPrompt engineering

0 likes · 7 min read

Why Your OpenClaw Skills Keep Making AI Fail—and How to Fix Them

PMTalk Product Manager Community

Jan 23, 2026 · Product Management

How Product Managers Can Shrink 3‑Hour Competitor Research into 5 Minutes with Agent Skills

A product manager overwhelmed by manual competitor research discovers that configuring AI agents with specialized Skills—such as web‑browsing, code‑interpretation, and workflow automation—can turn a three‑hour, labor‑intensive task into a five‑minute, fully automated process, reshaping the role of PMs from operators to architects.

AI agentsCompetitor ResearchCoze

0 likes · 16 min read

How Product Managers Can Shrink 3‑Hour Competitor Research into 5 Minutes with Agent Skills

Xiaolong Cloud Tech Team

Dec 1, 2025 · Artificial Intelligence

Why a ‘Skill Engineer’ Could Soon Become a Standard AI Role

The author demonstrates how to convert an OCR API specification into a reusable Skill using Claude’s Skill Creator, explains the advantages of Skill’s hierarchical exposure over traditional MCP prompts, outlines a three‑step workflow, and argues that such capabilities may spawn a new ‘Skill Engineer’ position in AI teams.

AIAgent FrameworkClaude

0 likes · 5 min read

Why a ‘Skill Engineer’ Could Soon Become a Standard AI Role