Articles about Agent Skills — exploring patterns, best practices, and real-world implementations in production systems.
3 posts tagged with agent skills. ← All posts
Compose three kinds of Agent Skill — code-defined, struct-based, and file-based — into a single agent through one skills context provider.
One skills ContextProvider blending three origins: in-memory volume and temperature skills plus a file-based unit-converter, unified behind one tool surface for the model.
An Agent Skill — on-demand instructions, resources, and scripts — defined entirely in Go, with no SKILL.md files on disk.
An Agent Skill built from Go closures: instructions, a static and a runtime-generated resource, and a convert script that runs in-process with no SKILL.md files.
Teach an agent a capability from a folder of files — a SKILL.md manifest, resources, and scripts — loaded on demand via progressive disclosure.
Teach an agent from a SKILL.md manifest, resources, and scripts on disk: fsskills scans the tree and a skills ContextProvider exposes load, read, and run tools.
All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.