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Prompt Habits Kit
The problem One-off prompts are hard to scale and produce inconsistent results.
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See it in action
You say
Build my prompt habits for a backend engineer focused on API design.
Your agent does
Habit 2 — Negative / anti-pattern list
Pattern: Tell the model what NOT to do.
Template: Design [TASK]. Avoid: [INTERNAL_LEAK], [NON_RESTFUL_PATH], [OAUTH_OMISSION].
Example: "Design the auth flow. Avoid: returning raw DB IDs, using PUT for partial updates, and omitting scopes."
What you get
About this skill
The problem
One-off prompts are hard to scale and produce inconsistent results. You spend too much time rewriting instructions from scratch and correcting the same model errors repeatedly.
What it does
- Generates six field-specific prompt patterns including WHY-framing and anti-pattern lists.
- Provides copy-paste skeletons with bracketed variables for immediate use.
- Supplies worked examples tailored to your specific niche like marketing, dev, or ops.
- Establishes a composable framework to stack habits for high-complexity tasks.
- Identifies which prompting strategies offer the highest leverage for your specific profession.
Why this beats prompting it yourself
Instead of guessing which instructions stick, this uses a structured spine of triggers, patterns, and guardrails. It shifts your workflow from aspiration-based prompts to testable, negative-constraint logic that reliably kills hallucination and fluff.
Use cases
- Creating a library of repeatable templates for a specific department or client.
- Onboarding team members to a unified prompting standard.
- Fixing persistent quality issues in model outputs by implementing anti-pattern lists.
Known limitations
This kit focuses on structural prompting patterns rather than deep technical prompt engineering like few-shot examples or chain-of-thought logic trees.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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