Promote ml-migration from Snowflake-Solutions

[jdanielmyers]

Summary

Promotes the ml-migration skill from the internal Snowflake-Solutions/cortex-code-skills repo to public Labs, rewritten for an external builder audience (developers, data engineers).

Run through the v1.1.0 audit pipeline:

• Holistic LLM rewrite for builder audience
• All internal Snowflake references substituted with public equivalents (e.g., Snowhouse -> ACCOUNT_USAGE)
• audience.no_internal_refs check passes

Test plan

• Audit blocking_failures == 0
• audience.no_internal_refs passes
• Frontmatter matches Labs conventions (snowflake-docs / manage-zerocopy-sapbdc precedents)
• LICENSE present (Snowflake)
• No Snowflake-Solutions repo path leakage

[jdanielmyers]

Audit Report: ml-migration

Re-audit (post-v1.1.1 + critical fixes). Original report superseded.

Summary

Category	🔴	🟡	🟢
Frontmatter	0	0	0
Structure	0	0	1
Workflow	0	0	1

Critical 🔴

None — all critical findings from the original audit have been addressed.

Warnings 🟡

None.

Suggestions 🟢

1. The "Red Flags" section with refused rationalizations is excellent for preventing agent shortcutting. The migration-config.yaml pattern provides good file-based state tracking. 5 explicit stopping points cover all critical decision junctures.
2. The error handling table at the bottom is a useful quick-reference for common failures.

Verdict

Ready to merge — Well-structured dual-path skill (Inference I1-I8, Training T1-T9) with comprehensive stopping points, refused rationalizations, and platform detection logic.

[sfc-gh-kmuir]

There is a more updated v2 version available in Snowflake Solutions -- in staging mode! when it reached production, it will be ready to be ported over