playing-to-win
playing-to-win is a Product strategy & roadmaps skill for AI agents, published by amplitude in the builder-skills repository on GitHub. Skillspace rates playing-to-win C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Develop a strategy using the Playing to Win cascade — Winning Aspiration, Where to Play, How to Win, Capabilities, and Management Systems. Use when you need to make strategic choices about markets, positioning, and competitive advantage.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 126
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
- 99 / 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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