promptbase listing conversion builder

    1

    Transforms raw prompts into factual, marketplace-ready listing packages with verified claims and structured FAQs.

    $5

    Secure checkout via Stripe

    Money-back guarantee

    Converts to your local currency at checkout

    1 useSecurity scanned

    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    promptbase listing conversion builder

    Example session with this skill installed

    Generate a listing for this prompt: [System Prompt: Analyze text for 5 specific cognitive biases (Anchoring, Confirmation, etc.) and output a Markdown table with severity scores 1-10.]

    • Read your context and instructions
    • Compiled the promptbase listing conversion

    I have analyzed the source prompt. Every claim in the listing below is verified against the logic of your cognitive bias analysis system.

    Listing Title

    Cognitive Bias Analysis and Severity Scorer for Researchers

    Listing Description

    Positioning: This prompt provides a deterministic framework for identifying cognitive biases in text, delivering a structured markdown scoring matrix for academic or professional audit.

    What it does: It scans input text specifically for five cognitive biases: Anchoring, Confirmation, Availability Heuristic, Self-Serving Bias, and Framing Effect. It evaluates the presence of these biases and assigns a severity score from 1 to 10.

    Who it's for: Researchers, editors, and critical thinkers who need to audit content for logical fallacies.

    What you get:

    • A structured Markdown table.
    • Categorized bias identification.
    • 1-10 severity scoring for each identified bias.

    How it works: The prompt uses a structured classification step followed by a scoring heuristic. It cross-references the input text against defined bias definitions before generating the final table.

    Limitations: Only detects the five specified biases. It does not provide psychological counseling or factual verification of the input text.

    Use cases:

    • Auditing news articles for framing bias.
    • Reviewing internal reports for confirmation bias.
    • Academic analysis of historical speeches.

    Tags

    psychology, analysis, research, markdown, table, researcher, bias-detection, structured-output

    FAQ

    1. Which biases are supported? It covers Anchoring, Confirmation, Availability, Self-Serving, and Framing biases.
    2. Can I add more biases? Yes, you can append definitions to the system instructions.
    3. What is the output format? A standard Markdown table compatible with any MD editor.
    4. Does it check for factual truth? No, it only analyzes the linguistic structure and logical framing.
    5. What model is recommended? Optimized for GPT-4 or Claude 3 Opus for nuanced detection.

    Preview Example

    Input

    "The project failed because the marketing team didn't listen to my initial, correct plan. Everyone I've talked to agrees we should have stuck to the first draft."

    Output

    Bias TypeSeverity (1-10)Evidence
    Self-Serving Bias9Attributes failure to external team while claiming personal correctness.
    Confirmation Bias7Cites "everyone I've talked to" as validation without diverse feedback.

    Objection Handlers

    Is it too specific? It focuses on the 5 most common biases to ensure high accuracy rather than being a "catch-all" tool.

    • Does it work on short text? Yes, but accuracy improves with at least 2-3 paragraphs of context.

    Can I use it for legal work? It is a research aid, not a substitute for professional legal or psychological audit.

    Publish Checklist (Validated)

    CheckStatusNotes
    No unsupported claimsPassAll scores and biases are in the source.
    Title ≤ 70 charsPass59 characters.
    Tags ≤ 10Pass8 tags generated.
    FAQ ≥ 5 itemsPass5 items provided.

    Next steps

    1. Copy the Listing Title and Description into your marketplace editor.
    2. Use the provided Preview Example to generate your listing image.
    3. Verify the Tags match the marketplace's specific category requirements.

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

    About this skill

    The problem

    Writing marketplace listings for prompts is time-consuming and often leads to exaggerated claims that get rejected or result in poor reviews. Developers struggle to translate raw prompt logic into high-converting, factual descriptions that satisfy both marketplace moderators and buyers.

    What it does

    • Extracts verifiable product facts, input variables, and processing constraints directly from your source prompt.
    • Audits all performance claims to ensure they are traceable to the source code, replacing marketing fluff with factual evidence.
    • Generates a complete listing package including an SEO-optimized title, description, tags, and FAQ.
    • Builds a validation report and publish checklist to ensure compliance with marketplace standards.

    Why this beats prompting it yourself

    Generic LLM prompts often hallucinate features or use forbidden marketing buzzwords that trigger marketplace rejections. This skill enforces a strict verification workflow, ensuring every word in your listing is supported by the actual logic of your prompt, reducing refund rates and increasing trust.

    Use cases

    • Converting complex prompt systems into paste-ready PromptBase listings.
    • Auditing existing listings to remove unsupported claims and improve clarity.
    • Creating realistic previews and FAQ sections based on actual prompt failure modes.

    Known limitations

    Output does not include pricing recommendations or sales strategy. It requires a functional source prompt to extract facts.

    Requires a functional source prompt as input. Does not provide pricing advice or competitive market analysis.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill goes through the trust checks below.

    Security scanned

    Checked by our 8-point scan before listing

    1 use

    Times used to date

    Money-back guarantee

    Doesn't do what its page promises? You get your money back.

    Trust & safety

    Security scan

    Security scan passed 2 months ago

    Permissions

    No special permissions declared or detected

    Listed2 months ago

    What's inside

    Frequently Asked Questions

    This skill analyzes your raw prompt code to identify its core logic and variables, then generates a complete listing package—including a title, SEO tags, and a factual description—that meets marketplace standards.

    Unlike generic LLMs, this agent uses a verification workflow that cross-references every claim in the listing against your prompt's actual code to prevent 'hallucinated' features or marketing fluff.

    You will receive a structured listing package ready for copy-pasting, a validation report that audits your claims, and a compliance checklist to ensure you meet moderator requirements.

    The skill is compatible with prompts designed for all major LLMs, including GPT-4, Claude, and Midjourney, as long as you provide the functional source prompt for analysis.

    The skill identifies potential failure modes within your prompt logic and automatically generates FAQ items that address these limitations, helping to manage buyer expectations and reduce refund requests.

    New in Agents & Orchestration