Agent skill
help-doc-writer
Produce a concise Markdown outline for a help-center article based on a given topic and context, adhering to strict style, content, and structure rules without inventing details.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/help-doc-writer
SKILL.md
What it does
This prompt instructs the AI to produce a concise, skimmable Help Center article outline in Markdown for a provided topic, using only details explicitly supplied in the accompanying context. The result is a structured set of headings and short procedural steps written in second-person voice, with bolded UI labels, per-step outcome checks, optional screenshot placeholders only when referenced, and practical Troubleshooting and FAQ sections that avoid inventing product-specific information.
Requires the betterprompt CLI to run. For installation and general CLI usage, refer to the
betterpromptskill in your skill list or if not yet available in skill list, install vianpx skills add https://github.com/BetterPromptme/betterprompt/skills --skill betterprompt
Inputs
textInputs
Pass each text input using --input <key>=<value> flags.
| Variable key | Required? | Description | Defaults |
|---|---|---|---|
topic |
Required | (none) | |
additional_context |
Required | (none) |
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:
topicadditional_context
- Optional: model and options.
- Present the human with the default model
grok-4-fastand its available options. Look upgrok-4-fastin thebetterprompt resourcesoutput (filtered to modality"text") and show itsavailableOptionsas:key: val1, val2 (default), val3 | key2: .... Mark a value(default)if it matches these defaults:{"reasoningEffort":"low"}. - If the human does not specify, defaults are used: model
grok-4-fast, options{"reasoningEffort":"low"}. Other models from the resources call are also available.
- Present the human with the default model
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 skillVersionId as the positional argument (for this skill version, use 019a4f2e-f796-755e-8d3c-0bb6efef7f81).
Command form:
betterprompt generate 019a4f2e-f796-755e-8d3c-0bb6efef7f81 \
[--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
--modeland BetterPrompt will use the default model:grok-4-fast. - If the human does not mention options, omit
--optionsand BetterPrompt will use the default options:{"reasoningEffort":"low"}. - If the run times out, the response will include a
runIdyou can use to fetch the result later.
Example (using defaults shown above):
betterprompt generate 019a4f2e-f796-755e-8d3c-0bb6efef7f81 \
--input topic=<value> \
--input additional_context=<value> \
--model grok-4-fast \
--options '{"reasoningEffort":"low"}'
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