prerender-sizing
prerender-sizing is a Backend performance & caching skill for AI agents, published by cardstack in the boxel repository on GitHub. Skillspace rates prerender-sizing D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Pick or adjust the prerender server's pool envelope (`PRERENDER_PAGE_POOL_MIN` / `_MAX` / `_HIGH_PRIORITY_MAX` / `_HIGH_PRIORITY_THRESHOLD` / `_IDLE_CONTRACTION_MS` / `_SHARED_CONTEXT_CAP`) and ECS task CPU/memory using observed telemetry, not round-number intuition. Use this skill whenever an operator asks "are we sized right?", wants to change the envelope after a workload shift, considers a new ECS task size, or hits memory pressure / OOM on the prerender service. Layers on top of the `aws-access` skill for the underlying CloudWatch + DB plumbing; that skill is a prerequisite.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 23
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
- 95 / 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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