executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
focus-describeThis prompt instructs the AI to examine an input image and generate a concise, vivid, and neutral accessibility-focused description of a user-specified subject, covering visible elements such as colors, composition, objects, actions, and overall mood while avoiding opinions, copyrighted content creation, and unsupported inferences; if details are unclear, i…
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This prompt instructs the AI to examine an input image and generate a concise, vivid, and neutral accessibility-focused description of a user-specified subject, covering visible elements such as colors, composition, objects, actions, and overall mood while avoiding opinions, copyrighted content creation, and unsupported inferences; if details are unclear, it explicitly requires the AI to note uncertainty.
For more installation instructions go to https://raw.githubusercontent.com/BetterPromptme/skills/refs/heads/main/betterprompt/SKILL.md to check out this skill.
Pass each text input using --input <key>=<value> flags.
| Variable key | Required? | Description | Defaults |
|---|---|---|---|
what_do_you_want_to_describe | Required | (none) |
This prompt requires exactly 1 image. You must pass exactly 1 image flag (no more, no fewer), in the order matching the descriptions below.
| Index | Required | Description | Allowed CLI flags |
|---|---|---|---|
| 1 | Yes | Image to describe | --image-input-url <url> or --image-input-path <path> |
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".
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:
what_do_you_want_to_describegpt-5-nano and its available options. Look up gpt-5-nano 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: {}.gpt-5-nano, options {}. Other models from the resources call are also available.If any required text input or the required images are missing, ask the human for what's missing. Do not assume or fabricate values. Tell the human: "Please provide images in this order: image 1 (Image to describe)".
Use the frontmatter's name as the positional argument (for this skill, use focus-describe).
Command form:
betterprompt generate focus-describe \
[--input <key>=<value>] \
[--image-input-url <url>] \
[--image-input-path <path>] \
[--model <model>] \
[--options <options JSON>] \
[--json]
Notes:
--input <key>=<value> flag.--image-input-url or --image-input-path, in the order matching the imageInputs descriptions (image 1 first, then image 2, etc.).--model and BetterPrompt will use the default model: gpt-5-nano.--options and BetterPrompt will use the default options: {}.runId you can use to fetch the result later.Example (using defaults shown above):
betterprompt generate focus-describe \
--input what_do_you_want_to_describe=<value> \
--image-input-url https://example.com/image1.png \
--model gpt-5-nano \
--options '{}'