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1000-word-seo-blog-writer【数据与研究】This prompt instructs the AI to act as an experienced SEO content strategist and copywriter to produce a ~1,000-word, search-optimized blog post on a provided topic and supporting details, formatted in professional Markdown with specific required sections (including meta fields, multiple H2s, a checklist, FAQ, internal/external link suggestions, a co…
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This prompt instructs the AI to act as an experienced SEO content strategist and copywriter to produce a ~1,000-word, search-optimized blog post on a provided topic and supporting details, formatted in professional Markdown with specific required sections (including meta fields, multiple H2s, a checklist, FAQ, internal/external link suggestions, a conclusion, and a brief SEO rationale). If essential inputs are missing—such as audience, region, tone, or data requirements—the AI must pause and ask up to three clarifying questions before writing, ensuring the final article is both reader-focused and structured for strong on-page SEO outcomes.
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 |
|---|---|---|---|
topic | Optional | The main subject or keyword focus of the blog post. This determines the H1 title, meta fields, and overall direction of the content. | Sustainable packaging for e-commerce brands |
details | Optional | Any additional background, context, or constraints to guide tone, scope, or perspective. This might include the target audience, region, examples to include, data preferences, or specific brand/product mentions. | Target audience: small business owners in the US; tone: professional yet conversational; include recent 2025 trends. |
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:
topic (default: Sustainable packaging for e-commerce brands)details (default: Target audience: small business owners in the US; tone: professional yet conversational; include recent 2025 trends.)gpt-5 and its available options. Look up gpt-5 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: {"reasoningEffort":"low"}.gpt-5, options {"reasoningEffort":"low"}. Other models from the resources call are also available.Use the frontmatter's name as the positional argument (for this skill, use 1000-word-seo-blog-writer).
Command form:
betterprompt generate 1000-word-seo-blog-writer \
[--input <key>=<value>] \
[--model <model>] \
[--options <options JSON>] \
[--json]
Notes:
--input <key>=<value> flag.--model and BetterPrompt will use the default model: gpt-5.--options and BetterPrompt will use the default options: {"reasoningEffort":"low"}.runId you can use to fetch the result later.Example (using defaults shown above):
betterprompt generate 1000-word-seo-blog-writer \
--input 'topic=Sustainable packaging for e-commerce brands' \
--input 'details=Target audience: small business owners in the US; tone: professional yet conversational; include recent 2025 trends.' \
--model gpt-5 \
--options '{"reasoningEffort":"low"}'