If you demo an AI agent workflow once and the audience can't reuse it later, the demo did half the job.
That's the gap I built SkillForge to close.
Most agent demos end at "look, the browser task worked." But teams actually need the workflow to survive after the demo:
- what the goal was
- what setup the agent needed
- what exact browser steps mattered
- what edge cases broke the flow
- what output should be produced
That structure is basically what a good SKILL.md captures.
SkillForge's pitch is simple: record the workflow once, then turn that recording into a reusable skill artifact.
If you're building agent demos right now, that's the layer I'd add: don't just show the workflow — package it.
Try SkillForge:
https://skillforge.expert?utm_source=devto&utm_medium=social&utm_campaign=event_distribution
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