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Skill vs prompt

A good prompt and a good Skill can look identical on one successful run. They diverge on the second run, and on the hundredth.

Short version

A prompt is text you send for one task. A Skill is a packaged procedure that an agent can discover, activate when the task matches, and reuse indefinitely.

The functional difference is not length or quality. It is that a Skill carries a description the agent can see before activation. That single property is what turns instructions into something the system can select on its own.

The one-line test

If you have to paste it, it is a prompt. If the agent should find it on its own when the right task appears, it is a Skill.

Side by side

AspectPromptSkill
FormA block of instructions in one conversationA folder with SKILL.md and optional assets
SelectionYou decide when to paste itActivated when the task matches its description
Visibility before useNone: the model sees it only when sentName and description are visible before activation
ReuseCopy and paste againInstalled once, available to every matching task
VersioningWherever you happened to save the textFiles in a repository, reviewable and diffable
Extra assetsUsually noneReferences, scripts, and templates loaded on demand
Typical failureIt drifts as people edit their own copiesIt never activates, because the description is too vague

When a prompt should become a Skill

It is asked for repeatedlyThe same request shows up across people, sessions, or weeks. Reuse is the first signal.
It has more than one stepMulti-step procedures are where pasted instructions start losing coherence.
It needs reference materialWhen the task requires rules, examples, or schemas, bundling beats pasting.
Quality must be consistentIf the output shape matters, a packaged version with a template removes per-run improvisation.

What a Skill adds to a prompt

A Skill is not a longer prompt. It changes four things at once.

1
A trigger the agent can evaluate

The description states the conditions for activation, so selection stops depending on a human remembering to paste anything.

2
Progressive disclosure

Long references stay out of the main file and load only when the workflow actually needs them.

3
Deterministic helpers

Scripts handle the parts where a language model should not be improvising, such as parsing or validation.

4
A stable identity

Because it lives in version control, the procedure can be reviewed, tested, and improved instead of forking silently.

Common mistake

People often convert a prompt into a Skill by adding more words. The useful conversion is the opposite: write a precise activation description and move the bulk out into references.