studio-scaling
studio-scaling is a Business analysis & reporting skill for AI agents, published by egorfedorov in the Slot-Casino-Game-Developer-Skills-for-Stake-Engine repository on GitHub. Skillspace rates studio-scaling C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Scale game studio delivery systems across teams, pipelines, and release cadences. Use when designing team topology changes, pipeline throughput improvements, cross-team dependency governance, or operational maturity gates for scaling production.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 31
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
- 100 / 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.