scaling-workflows
scaling-workflows is a Background jobs & messaging skill for AI agents, published by gorango in the flowcraft repository on GitHub. Skillspace rates scaling-workflows C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Scale Flowcraft workflows from in-memory to distributed execution using adapters (BullMQ, SQS, RabbitMQ, GCP, Azure, Kafka, Cloudflare). Covers durable primitives, middleware, and observability. Use when deploying workflows to production, configuring distributed execution, setting up message queues, adding middleware, or enabling observability.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 202
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
- 94 / 100
- Maturity
- Structured: ships references or scripts
- 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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