Been thinking a lot about how fragmented AI workflows still are.
A useful agent skill usually ends up spread across:
- prompts,
- scripts,
- repos,
- docs,
- hidden assumptions,
- and random context nobody else can reproduce.
Skillmarkdown is an attempt to simplify that.
The core idea is intentionally small:
a single SKILL.md that defines an agent skill in a portable and structured way.
Not trying to build AGI.
Not trying to replace developers.
Just trying to make agent capabilities easier to share, inspect, version, improve, and eventually compose together.
Still early, but the direction feels promising.
Would genuinely love feedback from people building in the space — especially around where current agent workflows become painful or brittle in practice.
What I like about this is how it simplifies something that’s usually quite technical. Turning AI instructions into reusable “skills” is a really smart idea.
What needs improvement
Maybe a short onboarding/tutorial to help new users understand how to create their first skill.
vs Alternatives
Looked at a few other tools, but SkillMarkdown feels more focused and easier to understand in one place.
