Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+22 more

    Prompt Habits Kit

    1

    The problem One-off prompts are hard to scale and produce inconsistent results.

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    Prompt Habits Kit

    Prompt Habits Kit

    Example session with this skill installed

    Build my prompt habits for a backend engineer focused on API design.

    • Read your context and instructions
    • Compiled the prompt habits kit

    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."

    Connects securely to your tools. The creator never sees your data.

    What you get

    Convert vague requests into structured, repeatable prompt skeletonsEliminate repetitive model errors using targeted anti-pattern listsStandardize AI outputs across a team or specific professional nicheBuild a composable prompt stack that balances context, goals, and constraints

    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

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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    Recently published to Agensi

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    Verified clean 3 months ago

    • Passed all security checks, Safe to install

    Listed3 months ago
    Updated1 month ago

    What's inside

    Frequently Asked Questions