payoff-action-modeling
payoff-action-modeling is a UX design & wireframing skill for AI agents, published by aiskillstore in the marketplace repository on GitHub. Skillspace rates payoff-action-modeling D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Model product UI actions from user intent questions after a meaningful outcome, completion, created resource, imported data, uploaded file, synced integration, report, deployment, automation, review state, handoff, or workflow milestone. Use when deciding which actions to show, hide, group, name, prioritize, defer, or place across outcome, item, selection, continuation, navigation, recovery, and assistance scopes.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 385
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
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 2 collections
- Scope
- Portable: works in any project. General UX method for modeling post-outcome product actions
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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