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This video explains the concept of skills in Claude Code—how they turn general-purpose AI into task-specific experts. It covers why prompts fail for repeated workflows, how skills solve these issues, and how they are structured using skill.md, YAML metadata, and resource files. The video also explains progressive disclosure, different types of skills (personal vs project), and multiple ways to create them. Repo: https://github.com/campusx-official/spendly 00:00:00 - Introduction, Scope & Why Skills Matter 00:01:05 - Core Problem: General AI vs Specialized Tasks 00:04:56 - Why Prompts Fail for Repeated Workflows 00:08:43 - What are Skills (Concept & Definition) 00:10:00 - Skills Structure (Folder, skill.md, Resources) 00:14:50 - How Skills Load (Progressive Disclosure) 00:17:30 - Types of Skills (Personal vs Project) 00:18:58 - Ways to Create Skills (Manual, Claude, Community) 00:22:00 - Skill Creation Workflow (Identify → Create → Test → Iterate) 00:23:30 - How Skills Solve Prompt Limitations 00:25:30 - Practical Setup: Profile Page Problem 00:27:00 - Spec Creation & Planning 00:30:00 - Implementation & Execution 00:31:30 - Output Review (Profile Page UI)