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Skill Design

16 articles · Page 1 of 1
Data Party THU
Data Party THU
Aug 2, 2026 · Artificial Intelligence

Real-World Feedback Powers Continuous Evolution of AI Agent Skills

The article outlines a three‑layer Skill architecture for AI agents—routing, instruction, and resources—and shows how systematic user feedback can be abstracted into rule updates at each layer, illustrated with a travel‑planner example, quality checks, resource‑layer extensions, skill compaction, and validation before release.

AI AgentFeedback-driven EvolutionPrompt Engineering
0 likes · 13 min read
Real-World Feedback Powers Continuous Evolution of AI Agent Skills
Linyb Geek Road
Linyb Geek Road
Jul 22, 2026 · Artificial Intelligence

How to Structure Specs for Complex Multi‑Agent Tasks

The article explains how to design a structured spec for complex, multi‑agent workflows by separating an orchestrator from dedicated executors, defining thin entry contracts, organizing rules, docs, and skills into distinct directories, and layering skills into orchestrator, phase, and atom levels to ensure traceability and maintainability.

AI workflowMulti-AgentOrchestration
0 likes · 18 min read
How to Structure Specs for Complex Multi‑Agent Tasks
Shuge Unlimited
Shuge Unlimited
Jul 9, 2026 · Artificial Intelligence

12 Lines vs 689 Lines: Comparing the Design Paths of mattpocock/skills and Superpowers

This article deeply analyzes the source of mattpocock/skills v1.1.0, contrasting its concise 12‑line skill design with Superpowers' 689‑line approach, explaining the underlying engineering philosophies, constraints, four foundational pillars, workflow mechanics, and the trade‑offs that help developers choose between the two routes.

AI AgentsPrompt EngineeringSkill Design
0 likes · 18 min read
12 Lines vs 689 Lines: Comparing the Design Paths of mattpocock/skills and Superpowers
ITPUB
ITPUB
Jul 5, 2026 · Artificial Intelligence

How to Write Workflow Skills: Patterns and Best Practices from 7 Top Projects

This article analyzes seven production‑grade workflow Skills from OpenAI, Google Labs, and others, extracting five reusable design patterns, essential front‑matter fields, and practical writing techniques to help you craft effective Skills that run reliably in LLM agents.

AI AutomationLLMPrompt Engineering
0 likes · 22 min read
How to Write Workflow Skills: Patterns and Best Practices from 7 Top Projects
IT Services Circle
IT Services Circle
Jun 28, 2026 · Artificial Intelligence

Interviewer's Skepticism: After Six Months with Claude Code, Do You Really Understand Skills?

The article demystifies Claude Code’s “skills”, showing they are full‑featured folders—not just markdown files—explaining their structure, the progressive‑disclosure mechanism, the critical role of concise descriptions, nine functional categories, advanced features like memory and hooks, and best practices for team‑wide adoption and usage monitoring.

AI skillsClaude CodeHooks
0 likes · 22 min read
Interviewer's Skepticism: After Six Months with Claude Code, Do You Really Understand Skills?
Old Zhang's AI Learning
Old Zhang's AI Learning
Jun 21, 2026 · Artificial Intelligence

Finding the ‘Father’ of Any Concept: My Father’s Day AI Skill

On Father’s Day the author built an AI Agent skill called z‑father‑concept that, given any term, traces its lineage through concrete ancestors, functional roles, societal issues and finally a philosophical theme, illustrating the process with examples from fans to loneliness.

AI AgentPrompt EngineeringSkill Design
0 likes · 12 min read
Finding the ‘Father’ of Any Concept: My Father’s Day AI Skill
Yunqi AI+
Yunqi AI+
May 30, 2026 · Product Management

From Business Pain Points to AI Skills: How Product Managers Can Clearly Break Down Tasks

The article explains how AI product managers should first dissect business pain points into clearly defined, high‑frequency tasks, evaluate their suitability as AI Skills, and use the TCRT framework to design, scope, and validate these Skills before building reliable, feedback‑driven AI solutions.

AI product managementAI workflowCustomer service AI
0 likes · 20 min read
From Business Pain Points to AI Skills: How Product Managers Can Clearly Break Down Tasks
AI Step-by-Step
AI Step-by-Step
May 29, 2026 · Artificial Intelligence

How to Make Agent Skills Continuously Evolve and Accumulate Experience

The article explains why many Agent Skills become stale after a single use and presents four concrete design principles—precise triggers, executable commands, systematic pitfall recording, and verifiable steps—plus a lifecycle and anti‑pattern guide to keep Skills up‑to‑date and reusable.

AI AgentsSkill Designexperience accumulation
0 likes · 16 min read
How to Make Agent Skills Continuously Evolve and Accumulate Experience
Linyb Geek Road
Linyb Geek Road
May 19, 2026 · Artificial Intelligence

Five Best Design Patterns for AI Agent Skills

This article explains five practical design patterns—tool wrapper, generator, reviewer, inversion, and pipeline—for structuring AI agent SKILL.md files, showing when to use each, how they work internally, and how they can be combined for robust, maintainable agent behavior.

AI AgentsLLMPrompt Engineering
0 likes · 19 min read
Five Best Design Patterns for AI Agent Skills
AgentGuide
AgentGuide
Apr 18, 2026 · Artificial Intelligence

How to Write High‑Quality Skills for Your Agent System

The article outlines a five‑step process for creating robust Agent Skills, covering when to encapsulate a task, extracting decision logic and anti‑patterns, writing concise instructions, provisioning workflows and verification loops, and iterating with real‑world testing to ensure reliability.

AI DevelopmentAgentPrompt Engineering
0 likes · 8 min read
How to Write High‑Quality Skills for Your Agent System
AI Software Product Manager
AI Software Product Manager
Apr 14, 2026 · Artificial Intelligence

7 Design Principles to Build High‑Impact Claude Code Skills

This article extracts the core methodology of Anthropic's skill‑creator tool and presents seven practical design guidelines—progressive three‑layer loading, aggressive description writing, explaining the why, test‑driven development, avoiding over‑fitting, delegating repetitive work to scripts, and domain‑specific reference splitting—to help developers craft LLM‑driven skills that are both efficient and generalizable.

AIClaudeLLM
0 likes · 18 min read
7 Design Principles to Build High‑Impact Claude Code Skills
Yunqi AI+
Yunqi AI+
Mar 22, 2026 · Artificial Intelligence

Designing Hierarchical Skills and Sub‑Agents for Product Development Teams

The article explains how to define, abstract, and evaluate reusable AI Skills, integrate them into collaborative workflows, and evolve them into Sub‑Agents that own continuous responsibilities, providing concrete examples, design principles, metrics, and a step‑by‑step rollout plan for product development teams.

AI AgentsProduct DevelopmentSkill Design
0 likes · 14 min read
Designing Hierarchical Skills and Sub‑Agents for Product Development Teams
o-ai.tech
o-ai.tech
Mar 19, 2026 · Artificial Intelligence

What Do AI Skills Actually Mean? A Critical Perspective

The article examines the hype around AI Skills, argues that true value comes from solving specific problems, highlights hidden costs of blindly installing tools, and proposes a step‑by‑step method to define, design, and iteratively improve custom Skills that actually boost productivity.

AIProductivitySkill Design
0 likes · 11 min read
What Do AI Skills Actually Mean? A Critical Perspective