GitHub Copilot Prompt for Writing Subtitles
GitHub Copilot, the AI-powered coding assistant, is not limited to code generation. It also excels at writing structured textual content, especially subtitles. Whether you're working on a blog post, a web page, technical documentation, or a video, well-crafted subtitles are essential to guide the reader, improve readability, and optimize SEO. By leveraging GitHub Copilot directly in your code editor, you can generate impactful, hierarchical subtitles consistent with your content's tone. The major advantage lies in its seamless integration into the development workflow: no need to leave your IDE to produce professional-quality subtitles. Copilot analyzes the context of your file, understands your document's structure, and suggests subtitles tailored to each section. This approach saves considerable time while maintaining editorial coherence across all your content.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
Generate a series of subtitles for an article about [TOPIC]. The subtitles must follow a logical hierarchy (H2, H3) and meet the following criteria:
- Length: between 5 and 12 words per subtitle
- Tone: [professional / conversational / technical]
- Include relevant SEO keywords related to [PRIMARY_KEYWORD]
- Alternate between informative subtitles and engaging subtitles (questions, numbers, benefits)
- Ensure a logical content progression: concept introduction, deep dive, practical examples, actionable conclusion
- Produce at least 8 H2 subtitles with 2-3 H3 subtitles for each main section
Article context: [BRIEF CONTENT DESCRIPTION]
Target audience: [READER PROFILE]
Personalize this prompt with Léa
Answer 3 questions and Léa tailors the prompt to your situation.
Why this prompt works
This prompt works effectively because it provides Copilot with a structured framework with precise constraints (length, tone, hierarchy) that channel generation towards actionable results. The inclusion of variables in square brackets allows for immediate customization while preserving the prompt's logic. The request for alternating between informative and engaging formats leverages Copilot's ability to vary stylistic patterns, producing diverse and non-repetitive subtitles.
Use Cases
Variants
Expected Output
You will receive a hierarchical list of H2 and H3 subtitles ready to integrate into your article, optimized for SEO and tailored to your target audience. The subtitles will cover the entire topic with logical progression, mixing descriptive phrasing, rhetorical questions, and benefit-driven hooks. The result will be directly usable in your editor without major revisions.
Frequently Asked Questions
Can GitHub Copilot adapt subtitles to different content formats (blog, video, documentation)?
Yes, GitHub Copilot adapts to the context of the file you're working in. To get subtitles suited to a specific format, specify it in your prompt: 'for a YouTube video', 'for technical documentation', or 'for a blog post'. Copilot will automatically adjust the tone, length, and style of the subtitles. For videos, it will suggest more dynamic and concise wording; for documentation, descriptive and precise headings; for blogs, a balance between a hook and information.
How can I ensure the subtitles generated by Copilot are SEO-optimized?
To maximize SEO optimization, explicitly include your target keywords in the prompt and ask Copilot to integrate them naturally into the subtitles. Also specify that you want semantic variations and 'People Also Ask' style phrasing. After generation, check that each subtitle contains a primary or secondary keyword, doesn't exceed 70 characters for optimal display in SERPs, and accurately reflects the content of the section it introduces.
Is it possible to generate subtitles in multiple languages with GitHub Copilot?
Absolutely. GitHub Copilot supports many languages. To generate multilingual subtitles, specify the target language in your prompt, for example 'Generate the subtitles in French and English'. You can also ask it to translate a series of existing subtitles while adapting them culturally. However, be sure to check idiomatic nuances: Copilot produces generally correct translations, but a review by a native speaker is still recommended for high-editorial-value content.
Improve this prompt
Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
Improve this prompt with the OptimizerComments
Be the first to comment on this prompt.
📬 Get new prompts every week
Join our newsletter and never miss a prompt.
Go further
Similar Prompts
Extract Trends and Insights from Social Media
Analyze social media conversations to identify emerging trends and strategic opportunities.
Detect Misinformation and Fake News in Content
Analyze content to spot signs of misinformation, manipulation, and information bias.
GitHub Copilot Prompt for Translating a Text
GitHub Copilot, the AI development assistant created by GitHub and OpenAI, is not limited to code generation. Integrated directly into your editor (VS Code, JetBrains, Neovim), it can also serve as a powerful translation tool for your multilingual projects. Whether you need to translate localization files (i18n), code comments, technical documentation, or user interfaces, Copilot understands your project context and produces translations consistent with your existing terminology. Its main advantage lies in its ability to maintain source code formatting intact — HTML tags, interpolation variables, JSON keys — while translating only the textual content. This editor-integrated approach avoids back-and-forth with external tools and ensures your translations respect your codebase's technical conventions. Here is an optimized prompt to fully leverage GitHub Copilot in your translation tasks.
Send Time Optimization
Optimizing send times