taro-play-runner
taro-play-runner is an Execution & autonomous loops skill for AI agents, published by t0ddc3by in the claude-for-customer-success repository on GitHub. Skillspace rates taro-play-runner C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Select and execute a TARO play (Trigger, Action, Resource, Outcome) from your configured playbook for an account situation. Use when a health alert fires, a lifecycle stage transition occurs, or you need a structured play for a common CS motion — adoption push, executive re-engagement, at-risk recovery, or expansion readiness. Identifies the right play, contextualizes it to the account, and produces execution-ready outputs (email drafts, agenda, talking points, action plan) — not a generic playbook excerpt.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 57
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- 81 / 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
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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