Agent Skills look simple, but they are one of the most powerful building blocksin modern AI coding workflows. In this episode, Kaushik and Iury break down whento use skills, how progressive disclosure works, and how skills compare withcommands, instructions, and MCPs.Full shownotes at fragmentedpodcast.com.Show NotesMain ReferencesProgressive Disclosure -how skills are loaded into contextAgent Skills Open SpecificationAAIF (Agentic AI Foundation) -Linux Foundation initiative for AI interoperabilityNeedle in a Haystack Problem - original"Lost in the Middle" paperAgent-Invokable vs User-Invokable -merging skills and commands in Claude CodeCreating SkillsSkill Creator -Anthropic's skill for creating new agent skillsClaude Code frontmatter referencesee model: * & context: forkUsing other SkillsAnthropic Skills GitHub Repository -official collection of Claude skills and examplesClawdhub - Clawdbot's skill hub. All versions arearchived hereSKILLS.sh - Vercel's skills hubWarnings before installing random skills[!warning] Don't install from hubs blindly.Inspect the repo code before adding anything to your agent.Prompt Injection Attacks -OWASP guide to LLM prompt injection vulnerabilitiesOpenClaw OpenClaw Security Analysis -analysis of prompt injection risks in open agent frameworksMalware found in a top-downloaded Clawhub skill -incident report threadAdditional resourcesFew-Shot Prompting -improving outputs with examples.agents/skills - proposalto standardize the skills folder pathVercel: AGENTS.md vs Skills -comparison of agent instruction methodsGet in touchWe'd love to hear from you. Email is thebest way to reach us or you can check our contact page for otherways.We want to hear all the feedback: what's working, what's not, topics you'd liketo hear more on.Contact usNewsletterYoutubeWebsiteCo-hosts:Kaushik GopalIury Souza[!fyi] We transitioned from Android development to AI starting withEp. #300. Listen to that episode for the full story behindour new direction.