Omni Skill Creator

A skill for creating new skills from teaching videos and validating what it creates.

At a high level, the process of creating a skill goes like this:

• Perceive the video — read references/perceiver.md and perceive the teaching video, building a timestamped event log (video_events.md) as you go.
• Decide what you want the skill to do and roughly how it should do it
• Write a draft of the skill, along with a media plan for multimodal assets
• Run validate_skill (L1 structural check) before proceeding to evals
• Create a few test prompts and test the skill with them
• Review the results both qualitatively and quantitatively according to the selected feedback mode
  • While the runs happen in the background, draft quantitative assertions if there aren't any; in human-feedback mode explain them to the user, and in agent-self-iterate mode record their rationale in the iteration analysis
  • In human-feedback mode, present each test case's outputs and benchmark metrics to the user; in agent-self-iterate mode, inspect the same artifacts yourself without inventing human feedback
• Turn evidence-backed improvements into a proposal; apply them only when the affected test cases can be rerun
• Repeat the measured pass when the selected feedback mode calls for another revision
• Expand the test set and try again at larger scale when the workflow warrants it

Your job when using this skill is to turn the supplied teaching video or demonstration into a new skill. Help the user narrow down what the skill should do, perceive the recording to ground it, write a draft, write the test cases, run them, and present the evidence. Begin by reading references/perceiver.md and perceiving the recording into video_events.md; if that timeline was already produced earlier in the same conversion, continue from it rather than repeating the read.