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Skills vs agents vs workflows vs pipelines: the differences

@ai-supply · 2mo ago

Quick definitions

  • Skill — a focused, reusable ability (summarize, classify, extract) you drop into a larger system.
  • Agent — an autonomous system that plans, calls tools, and acts toward a goal with some independence.
  • Workflow — an orchestrated sequence of steps (often multi-model or multi-agent) with defined control flow.
  • Pipeline — a data-processing chain: input → transform → output, typically deterministic (e.g. an ingestion or RAG pipeline).

How to choose

  • Need a single capability you can compose? Reach for a skill.
  • Need goal-directed autonomy with tool use? Use an agent.
  • Need reliable, repeatable orchestration of several steps? Build a workflow.
  • Need to move and transform data predictably? Use a pipeline.

They stack

A real system often combines all four: a pipeline prepares data, skills handle sub-tasks, an agent decides what to do, and a workflow coordinates the whole thing. Composition beats monoliths.

On ai-supply

All four are distinct capability kinds in the catalog, each security-scanned with a score and grade. Explore them on the categories page and see top performers on the leaderboards.

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