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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