Agent Skills look simple, but they are one of the most powerful building blocks
in modern AI coding workflows. In this episode, Kaushik and Iury break down when
to use skills, how progressive disclosure works, and how skills compare with
commands, instructions, and MCPs.

Full shownotes at fragmentedpodcast.com.

Show Notes

Main References

Progressive Disclosure -
how skills are loaded into context
Agent Skills Open Specification
AAIF (Agentic AI Foundation) -
Linux Foundation initiative for AI interoperability
Needle in a Haystack Problem - original
"Lost in the Middle" paper
Agent-Invokable vs User-Invokable -
merging skills and commands in Claude Code

Creating Skills

Skill Creator -
Anthropic's skill for creating new agent skills
Claude Code frontmatter reference
- see model: * & context: fork

Using other Skills

Anthropic Skills GitHub Repository -
official collection of Claude skills and examples
Clawdhub - Clawdbot's skill hub. All versions are
archived here
SKILLS.sh - Vercel's skills hub

Warnings before installing random skills

[!warning] Don't install from hubs blindly.
Inspect the repo code before adding anything to your agent.

Additional resources

Get in touch

We'd love to hear from you. Email is the
best way to reach us or you can check our contact page for other
ways.

We want to hear all the feedback: what's working, what's not, topics you'd like
to hear more on.

Co-hosts:

Kaushik Gopal
Iury Souza

[!fyi] We transitioned from Android development to AI starting with
Ep. #300. Listen to that episode for the full story behind
our new direction.

304 - Agent Skills - when to use them and why they matter

Fragmented - AI Developer Podcast

304 - Agent Skills - when to use them and why they matter