AI Agents

An accountant's tax skill is good but inconsistent. The prompt engineer's skill restructures it with clearer constraint hierarchy, explicit edge case handling, and output format specifications — making it reliable across platforms.

Before creating vertical-specific skills, the platform uses this skill to analyze which verticals have the highest demand, willingness to pay, and encodable expertise — ensuring the roadmap is market-driven, not guesswork.

A real estate expert knows everything but can't articulate their rules. This skill provides a structured interview protocol that extracts decision trees, edge cases, and judgment calls — turning expertise into structured skills in 2 hours instead of 2 weeks.

A legal skill gets updated. Before rollout, this meta-skill runs it through 20 test scenarios across jurisdictions, compares output quality to the previous version, and flags any regressions — ensuring updates improve, not break.

A branding expert sits down to create a skill but doesn't know how to structure their knowledge. This meta-skill guides the session: what to make explicit vs. implicit, how to write rules an AI can follow, how to test the output quality.