rt-setup-personalization
rt-setup-personalization is a Streaming & real-time data skill for AI agents, published by treasure-data in the td-skills repository on GitHub. Skillspace rates rt-setup-personalization C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Complete workflow to set up RT 2.0 personalization from scratch - validates parent segment RT status, discovers event tables and attributes, configures RT infrastructure (events, attributes, ID stitching), creates personalization service, and deploys the personalization entity with payload. Use when user wants to "create realtime setup and build personalization" or "set up RT personalization end-to-end". Includes automatic validation using rt-personalization-validation skill to prevent common API errors.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 20
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
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
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Treasure Data RT 2.0 setup via public tdx CLI
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.