data360-harmonize
data360-harmonize is a Data warehousing & modelling skill for AI agents, published by forcedotcom in the sf-skills repository on GitHub. Skillspace rates data360-harmonize C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Salesforce Data Cloud Harmonize phase. Use this skill when the user works with DMOs, mappings, relationships, identity resolution, unified profiles, data graphs, or universal IDs. TRIGGER when: user works with DMOs, mappings, relationships, identity resolution, unified profiles, data graphs, or universal IDs. DO NOT TRIGGER when: the task is only about streams/DLOs (use data360-prepare), segments/insights (use data360-segment), retrieval/search (use data360-query), or STDM/session tracing (use agentforce-observe).
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 711
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 1 collections
- Scope
- Vendor-specific: built around one product. Salesforce Data Cloud Harmonize phase: DMOs, identity resolution.
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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