retention-loop-design
retention-loop-design is a Product analytics & metrics skill for AI agents, published by mohitagw15856 in the pm-claude-skills repository on GitHub. Skillspace rates retention-loop-design D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Design retention and engagement loops that bring users back. Use when asked to improve retention, design an engagement/habit loop, fix a leaky retention curve, or build a re-engagement system. Produces a retention design — the retention curve diagnosis, the core habit loop (trigger→action→reward→investment), the activation→habit path, re-engagement triggers, and the metrics to watch.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 1,187
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 1 collections
- Scope
- Portable: works in any project. General retention and habit loop design framework
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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