machine-error-greater-human-readable-response-writer

---

name: machine-error-greater-human-readable-response-writer description: This prompt instructs the AI to take an HTTP error (status code plus what the user was trying to do, and optional context) and rewrite it into a short, user-friendly message. The output clearly explains what happened in plain language, suggests 1–3 concrete next steps, uses a specified tone, avoids blame, and redacts any sensitive technical details while keeping the response brief and text-only. compatibility: Requires betterprompt >= 0.1.3 metadata: openclaw: homepage: https://github.com/BetterPromptme/skills emoji: 🧩 requires: anyBins: - betterprompt - bp os: - linux - darwin install: - id: node kind: node package: betterprompt bins: [betterprompt, bp] label: Install BetterPrompt CLI (node)

What it does

This prompt instructs the AI to take an HTTP error (status code plus what the user was trying to do, and optional context) and rewrite it into a short, user-friendly message. The output clearly explains what happened in plain language, suggests 1–3 concrete next steps, uses a specified tone, avoids blame, and redacts any sensitive technical details while keeping the response brief and text-only.

For more installation instructions go to https://raw.githubusercontent.com/BetterPromptme/skills/refs/heads/main/betterprompt/SKILL.md to check out this skill.

Inputs

textInputs

Pass each text input using --input <key>=<value> flags.

Variable key	Required?	Description	Defaults
Tone	Optional		friendly
User_Action	Optional		uploading a photo
Error_Context	Required		(none)
HTTP_status_code	Optional		400

Models and options

This skill's modality is: text.

To discover which model values you can use (and which options keys/values are valid for each model), run:

betterprompt resources --models-only --json

Then filter the returned JSON array to entries where modality is "text".

How to run

Step 1: Collect inputs

First, run betterprompt resources --models-only --json and filter to modality: "text" to discover valid models and available options:

betterprompt resources --models-only --json

Use only the models and option values that appear in the filtered results.

Then collect all inputs from the human:

• Required text inputs:
  • Error_Context
• Optional text inputs (use defaults if not provided by the human):
  • Tone (default: friendly)
  • User_Action (default: uploading a photo)
  • HTTP_status_code (default: 400)
• Optional: model and options.
  • Present the human with the default model gpt-5-mini and its available options. Look up gpt-5-mini in the betterprompt resources output (filtered to modality "text") and show its availableOptions as: key: val1, val2 (default), val3 | key2: .... Mark a value (default) if it matches these defaults: {}.
  • If the human does not specify, defaults are used: model gpt-5-mini, options {}. Other models from the resources call are also available.

If any required text input is missing, ask the human for what's missing. Do not assume or fabricate values.

Step 2: Run via BetterPrompt CLI

Use the frontmatter's name as the positional argument (for this skill, use machine-error-greater-human-readable-response-writer).

Command form:

betterprompt generate machine-error-greater-human-readable-response-writer \
  [--input <key>=<value>] \
  [--model <model>] \
  [--options <options JSON>] \
  [--json]

Notes:

• Pass each text input as a separate --input <key>=<value> flag.
• If the human does not mention a model, omit --model and BetterPrompt will use the default model: gpt-5-mini.
• If the human does not mention options, omit --options and BetterPrompt will use the default options: {}.
• If the run times out, the response will include a runId you can use to fetch the result later.

Example (using defaults shown above):

betterprompt generate machine-error-greater-human-readable-response-writer \
  --input Tone=friendly \
  --input 'User_Action=uploading a photo' \
  --input Error_Context=<value> \
  --input HTTP_status_code=400 \
  --model gpt-5-mini \
  --options '{}'