fa-product-process

fa-product-process is a Product strategy & roadmaps skill for AI agents, published by frostaura in the ai.toolkit.gaia repository on GitHub. Skillspace rates fa-product-process C (77/100) and it passed the safety scan; the rating is based on static analysis only.

Provides the money-gated lifecycle and coordination playbook for taking a consumer one-off / in-app-purchase product from idea to validated bet through launch and live-ops. Use it to classify a product request, run each of the 10 stages as fan-out -> adversarial review -> synthesis against one shared unit-economics model, and apply net-of-fee money gates with explicit loop-backs. Use when coordinating product discovery, monetization design, validation, soft-launch, or live-ops for non-SaaS consumer software.

Grade
C
Quality
77 / 100
Safety
Passed
GitHub stars
30

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
94 / 100
Maturity
Packaged: licensed, with a version or references
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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