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    API Error Message Designer

    1

    The problem Vague API errors like "Something went wrong" frustrate developers and spike support tickets.

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    API Error Message Designer

    API Error Message Designer

    Example session with this skill installed

    Create API error messages for a payment gateway when a card is expired, a request is missing a currency field, and when the user hits a rate limit.

    • Read your context and instructions
    • Compiled the api error message

    Processed error messages for Payment Gateway V1.

    API Error Message Design: Payment Gateway

    Error codeHTTP statusCategoryDeveloper-facing messageNext stepRetry guidance
    PAYMENT_CARD_EXPIRED400ValidationThe payment method provided has expired.Ask the customer to update their card details or provide a new payment method.Do not retry with the same card data.
    VAL_MISSING_CURRENCY400ValidationThe 'currency' field is required but was not found in the request body.Add a valid ISO 4217 currency code (e.g., 'USD') to the request payload.Correct the payload and retry.
    RATE_LIMIT_EXCEEDED429Rate limitToo many requests have been sent in a short period.Implement exponential backoff or reduce request frequency.Retry after the window specified in the Retry-After header.

    Example Response Payload Wording

    {
  "error": {
    "code": "VAL_MISSING_CURRENCY",
    "message": "The 'currency' field is required but was not found in the request body.",
    "request_id": "req_12345abcde",
    "docs_url": "https://docs.example.com/errors#VAL_MISSING_CURRENCY"
  }
}

    Next steps

    1. Confirm the specific Retry-After header logic with the infrastructure team.
    2. Verify that request_id is properly mapped in the gateway middleware.
    3. Update the API Reference 'Common Errors' section with these snippets.

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

    About this skill

    The problem

    Vague API errors like "Something went wrong" frustrate developers and spike support tickets. Raw logs often leak sensitive stack traces or provide no actionable path for the user to fix their request.

    What it does

    • Generates developer-friendly error taxonomies for authentication, validation, and rate-limiting events.
    • Produces structured error tables including HTTP status codes, human-readable explanations, and retry logic.
    • Creates documentation snippets and example JSON response payloads using safe placeholders.
    • Audits existing error sets to provide clarity scores and security risk assessments.

    Why this beats prompting it yourself

    This tool enforces a strict security-first framework that prevents the accidental exposure of secrets or internal paths. It follows a consistent multi-step workflow to ensure every message includes a clear "next step" rather than just a failure notification.

    Use cases

    • Writing error message style guides for new SaaS platforms.
    • Converting technical backend logs into support-safe developer documentation.
    • Auditing legacy API error codes for consistency and actionability.
    • Building troubleshooting guides for common integration edge cases.

    Known limitations

    Does not debug live production systems or inspect real-time logs. Requires manual engineering review to ensure technical accuracy of suggested retry windows and status codes.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Technical Documentation.

    Does not debug live systems or logs. Requires manual engineering review for technical accuracy. Cannot confirm actual API behavior without provided specs.

    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 buying a skill.

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    Trust & safety

    Security scan

    Security scan passed 2 months ago

    Software
    Python

    Permissions

    No special permissions declared or detected

    Listed2 months ago

    What's inside

    Frequently Asked Questions

    This skill standardizes vague backend errors into structured, secure JSON payloads and developer documentation, reducing support tickets by providing users with clear, actionable steps to resolve integration issues.

    The skill is designed to work with any Large Language Model (LLM) that supports text-based reasoning and structured output, making it compatible with popular AI agents like ChatGPT, Claude, and specialized development environments.

    No complex installation is required; simply provide your raw error codes, backend logs, or current documentation to the agent, and it will apply its security-first framework to generate standardized outputs.

    Yes, the skill includes a security-first audit workflow that scans your messages for sensitive information like internal file paths, stack traces, or secret keys, replacing them with safe, developer-friendly placeholders.

    You receive the full logic framework for generating error taxonomies, documentation templates for status codes, and a set of auditing rules to evaluate the clarity and security of your current error messages.

    While it provides highly accurate suggestions for HTTP status codes and retry logic, it cannot access live production environments; a developer should always perform a final check to ensure the logic aligns with your specific architecture.

    New in Technical Documentation