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    Prompt Habits Kit

    Create a system of six reusable, field-specific prompt patterns to ensure consistent AI outputs.

    Updated Jul 2026
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    Claude.ai skills

    $8.99

    · or 45 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Convert vague requests into structured, repeatable prompt skeletons
    • Eliminate repetitive model errors using targeted anti-pattern lists
    • Ready for Claude.ai skills
    • Instant install

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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."

    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.

    Use Cases

    • Convert vague requests into structured, repeatable prompt skeletons
    • Eliminate repetitive model errors using targeted anti-pattern lists
    • Standardize AI outputs across a team or specific professional niche
    • Build a composable prompt stack that balances context, goals, and constraints

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    Works with any SKILL.md-compatible agent (Claude Code, Claude.ai skills, Codex CLI, Cursor, Gemini CLI). Best with Claude Sonnet 4.5+.

    Frequently Asked Questions