Every premium and members-only resource for $9.99/month, as a no-commitment subscription. See the plans

PalateKit

Sign in
Menu

Request a resource

Describe the resource you are missing in one sentence. We will email you when it is published.

0 / 280

A page, a video or an image online.

Unlock PalateKit

Unlock everything

Plan

Paying means accepting our terms of sale.

Secure payment by Stripe. Receipts and invoices sent by email.

Welcome back

Sign in to install, download or save this resource. A free account is enough for free resources.

Prove the workflow on a small sample before scaling v1.0.0

Use this resource to validate a data or AI workflow on a small sample before scaling it

New

  • 448 downloads
  • 152 likes
  • 250 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install skeleton-first-scaling-workflow

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent first builds the smallest version of the workflow and tests it, then scales up in steps whose cost it projects beforehand. You get a report at each step and a list of anti-patterns to avoid.

Mostly picked by

Updated November 2, 2026

Card for the “Prove the workflow on a small sample before scaling” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

Similar resources

View all

What you get

  • SKILL.md: ladder of steps, from a minimal skeleton to full scale
  • SKILL.md: cost levers, reports at each gate and anti-patterns

Good fit for

  • An AI pipeline must process a large table and you want to avoid a surprise bill
  • You are building a data model whose grain is not yet validated

Not for

    Tags

    • prototype
    • scaling
    • costs
    • pipeline
    • data

    About

    You say

    “Test my extraction pipeline on ten documents before running it on the whole database.”

    Card for the “Prove the workflow on a small sample before scaling” skill

    Skill published by Dan He under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to validate a data or AI workflow on a small sample before scaling it
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md9.8 KB

    Origin and licence

    Listed unmodified

    Author
    Dan He
    Source
    github.com/sickn33/agentic-awesome-skills/tree/e9809578fd426a284af017c5db99f8eb6628e6ca/skills/skeleton-first
    Licence
    MIT

    Notice

    « skeleton-first » (Dan He, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

    User reviews

    –

    No ratings yet

    Loading reviews…

    Delete your review?

    Your rating and comment will be removed from the page.