Agent Skills

Agent skills are reusable instruction packages, workflows, or capability bundles that teach an AI agent how to perform a specific task or operate within a specific context.

Key points

• Skills.sh shows skills becoming a discoverable ecosystem object, not just private prompt text ^[src-134].
• A skill can encode procedure, tool use, tone, examples, checks, and domain-specific judgment for repeatable agent behavior ^[src-134].
• As skills become shareable, teams need provenance, compatibility checks, permission boundaries, and review habits.

Related entities

• Skills Sh

Related concepts

• Agent Skills Directory
• Agent Native Infrastructure
• Agent Security Boundaries

Source references

• ^[src-134] Skills.sh – "The Agent Skills Directory" (unknown)

2026-06-27 Codex adoption update

• The Codex paper gives a rare adoption metric for reusable agent instructions: 26.6% of users use skills, defined as reusable instructions for complex workflows ^[src-170].
• That makes skills a measurable infrastructure pattern rather than only a prompt-engineering convenience: teams can encode repeatable context, policy, checks, and workflow habits into reusable packages ^[src-170].

Additional source references

• ^[src-170] Drew Johnston, David Holtz, Alex Martin Richmond, Christopher Ong, Prasanna Tambe, Aaron Chatterji / OpenAI – "The shift to agentic AI: Evidence from Codex" (2026-06-25)