data-distributed-storage
data-distributed-storage is a Data warehousing & modelling skill for AI agents, published by Kilo-Org in the kilo-marketplace repository on GitHub. Skillspace rates data-distributed-storage D (58/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill when designing distributed storage for HDFS, S3, ADLS, GCS, MinIO, NFS, or any distributed file system for data workloads. This skill enforces: storage backend selection, data durability and replication, file format selection, partitioning and compression, lifecycle policies, storage tiering, and cost optimization. Do NOT use for: database storage engines, local filesystem tuning, or content delivery networks.
- Grade
- D
- Quality
- 58 / 100
- Safety
- Passed
- GitHub stars
- 157
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
- 71 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- 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.