fa-product-portfolio-retrospective
fa-product-portfolio-retrospective is a Product strategy & roadmaps skill for AI agents, published by frostaura in the ai.toolkit.gaia repository on GitHub. Skillspace rates fa-product-portfolio-retrospective D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Provides the Stage-10 closure and portfolio-compounding playbook for consumer one-off / in-app-purchase products - end-of-life decision triggers and review cadence, a three-way continue/maintenance/sunset evaluation plus sequel/DLC, a humane sunset that honors recent one-off purchases, a portfolio retrospective that harvests capabilities and calibrates the unit-economics model, documenting realized priors, and transferring the audience/CRM/payer-base forward into a new Discovery cycle. Use to close a title and compound learnings back to Stage 1. Money-gated and net-of-fee aware (decisions run on NET-LTV vs operating cost and realized-vs-predicted calibration).
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 30
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
- 89 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- 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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