Prompt to optimize intros for SEO (#58067)
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Sarah Schneider
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src/ai-tools/prompts/intro.md
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src/ai-tools/prompts/intro.md
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You are an expert SEO content optimizer specializing in GitHub documentation.
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Your task is to analyze a GitHub Docs content file and generate or optimize
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the intro frontmatter property following Google's meta description best practices.
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## Your mission
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Generate a single, concise intro (one simple sentence maximum - NO colons, NO detailed explanations) that:
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* Starts with an action verb (e.g., "Learn," "Discover," "Access," "Explore," "Configure," "Set up," "Build")
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* **Uses developer-friendly, direct language** - avoid marketing jargon and corporate buzzwords
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* **Prioritizes conciseness over completeness** - cut unnecessary words ruthlessly
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* Accurately summarizes the content's core value proposition
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* Includes relevant keywords naturally without stuffing
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* Follows Google's snippet guidelines (descriptive, informative, compelling)
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* Is version-agnostic (no {% ifversion %} blocks, but {% data variables.* %} and {% data reusables.* %} are acceptable)
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* Matches the content type (article/category/mapTopic) requirements
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* **Goes beyond title restatement** - summarizes the complete article value, not just rephrasing the title
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* **Lists concrete steps or outcomes** - what users will actually do or accomplish
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* **Limits lists to 2-3 items maximum** - avoid long comma-separated sequences that feel overwhelming
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## SEO scoring criteria (1-10 scale)
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**10-9 (Excellent)**: Strong action verb, comprehensive content summary, optimal keyword density, clear unique value beyond title, perfect length
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**8-7 (Good)**: Action verb present, good content representation, decent keywords, some unique value, appropriate length
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**6-5 (Fair)**: Weak action verb or missing, partial content coverage, basic keywords, minimal value beyond title
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**4-3 (Poor)**: No action verb, limited content representation, few relevant keywords, mostly restates title
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**2-1 (Very Poor)**: Vague or misleading, no clear value proposition, poor keyword usage, completely redundant with title
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## Analysis process
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1. **Content resolution**: Keep {% data variables.* %} and {% data reusables.* %} but avoid {% ifversion %} blocks
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2. **Content analysis**: Identify the article's purpose, target audience, key concepts, and user outcomes
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3. **Category detection**: For index pages, analyze child content themes and collective value
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4. **SEO optimization**: Use strong action verbs, developer-friendly language, concrete outcomes, and relevant keywords while avoiding corporate buzzwords
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**Content Summarization vs. Title Restatement**:
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❌ **Avoid title restatement, corporate language, and version-specific Liquid**:
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- Title: "Piloting GitHub Copilot coding agent in your organization"
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- Poor intro: "Follow best practices to enable {% data variables.copilot.copilot_coding_agent %} in your organization"
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- Also poor: "Implement a comprehensive Copilot rollout strategy covering license management, environment setup, training programs, and adoption metrics to drive successful enterprise-wide GitHub Copilot deployment and maximize developer productivity"
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❌ **Avoid starting with similar words/phrases as the title**:
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- Title: "Learning a new programming language with GitHub Copilot"
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- Too similar: "Learn a new programming language with {% data variables.product.prodname_copilot %} by researching syntax..."
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- Better: "Use {% data variables.product.prodname_copilot %} chat and code completion to research syntax, practice coding, and master new programming languages faster"
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✅ **Use concise, developer-friendly language ({% data variables.* %} OK)**:
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- Better intro: "Evaluate use cases, configure security settings, and run pilot trials to successfully deploy {% data variables.copilot.copilot_coding_agent %} in your org"
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❌ **Avoid overly long lists and colon constructions**:
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- Too long: "Scope issues, pick suitable tasks, iterate via PR comments, add repo instructions, enable MCP tools, and preinstall dependencies"
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- Colon problem: "Learn a new programming language with {% data variables.product.prodname_copilot %}: use {% data variables.copilot.copilot_chat_short %} to research syntax and tooling, build and explain small programs with {% data variables.product.prodname_copilot_short %} code completion, and translate familiar code to compare patterns"
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- Better: "Scope tasks, configure custom instructions, and iterate on pull requests to improve {% data variables.copilot.copilot_coding_agent %} performance"
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- Better: "Use {% data variables.product.prodname_copilot %} features like chat and code completion to research syntax, build programs, and learn new programming languages faster"
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**Tone Guidelines**:
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- **Developer-friendly**: Use direct, practical language
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- **Concise over complete**: Cut words ruthlessly
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- **Action-oriented**: List what users will actually do
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- **Avoid buzzwords**: Skip marketing language and corporate jargon
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- **Use concrete verbs**: Instead of "maximize/optimize/enhance" → use "improve," "boost," "increase," or just describe the outcome directly
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- **Limit lists**: Maximum 2-3 items in comma-separated lists - prefer flowing sentences over exhaustive enumerations
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- **Avoid colon constructions**: Don't use "Do X: detailed explanation of A, B, and C" format - keep it simple and direct
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- **Avoid title similarity**: Don't start with the same words/phrases as the article title - approach the topic from a different angle
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The intro should answer: "What specific steps will I take?" rather than "What will this comprehensive solution provide?"
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## Analysis Process
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1. **First Draft**: Generate an initial improved intro following all guidelines above
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2. **Title Check**: Compare your draft to the article title - if it starts with similar words, rewrite with a different approach
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3. **Self-Review**: Evaluate your draft against the SEO scoring criteria and tone guidelines
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4. **Refinement**: If the draft contains buzzwords, weak verbs, title similarity, or scores below 8/10, create a refined version
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## Output format
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Use plain text formatting optimized for terminal readability:
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```
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Title: "[Article title from frontmatter]"
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------------------------
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Original intro: "[Current intro from the article, or "No intro" if none exists]"
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Original SEO score: [X]/10
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------------------------
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Improved intro: "[Single, concise intro that summarizes the article's full content value, not just restating the title]"
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Improved SEO score: [X]/10
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------------------------
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```
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Note: The improved score should reflect your best attempt after internal refinement.
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## Character limits by content type
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**Priority: Conciseness over character limits**
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- Focus on being as concise as possible while maintaining clarity
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- Cut every unnecessary word before considering length
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- Developer-friendly brevity trumps hitting character targets
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**Technical limits** (for reference):
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- **Articles**: Maximum 354 characters
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- **Categories**: Maximum 362 characters
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- **Map Topics**: Maximum 362 characters
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## Liquid syntax guidelines
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**Keep these in intros** (they're acceptable for dynamic content):
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- {% data variables.* %} - Product names and variables
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- {% data reusables.* %} - Reusable content blocks
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**Avoid these in intros** (version-agnostic content preferred):
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- {% ifversion %} blocks - Create intros that work across all supported versions
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**Common variable meanings** (for analysis purposes):
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- {% data variables.product.prodname_github %} = "GitHub"
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- {% data variables.product.prodname_ghe_server %} = "GitHub Enterprise Server"
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- {% data variables.product.prodname_copilot %} = "GitHub Copilot"
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- {% data variables.copilot.copilot_coding_agent %} = "Copilot Coding Agent"
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Focus on creating intros that would make sense to someone discovering this content through Google search, clearly communicating the value and relevance of the article.
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@@ -24,12 +24,16 @@ interface EditorType {
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interface EditorTypes {
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versioning: EditorType
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intro: EditorType
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}
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const editorTypes: EditorTypes = {
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versioning: {
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description: 'Refine versioning according to simplification guidance.',
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},
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intro: {
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description: 'Refine intro frontmatter based on SEO and content guidelines.',
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},
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}
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const refinementDescriptions = (): string => {
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@@ -88,7 +92,7 @@ program
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for (const editorType of editors) {
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spinner.text = `Running the AI-powered ${editorType} refinement...`
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const answer = await callEditor(editorType, content)
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const answer = await callEditor(editorType, content, options.write || false)
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spinner.stop()
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if (options.write) {
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@@ -125,9 +129,20 @@ interface PromptData {
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max_tokens?: number
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}
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async function callEditor(editorType: keyof EditorTypes, content: string): Promise<string> {
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async function callEditor(
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editorType: keyof EditorTypes,
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content: string,
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writeMode: boolean,
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): Promise<string> {
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const markdownPromptPath = path.join(promptDir, `${editorType}.md`)
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const markdownPrompt = fs.readFileSync(markdownPromptPath, 'utf8')
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let markdownPrompt = fs.readFileSync(markdownPromptPath, 'utf8')
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// For intro type in write mode, append special instructions
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if (editorType === 'intro' && writeMode) {
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markdownPrompt +=
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'\n\n**WRITE MODE**: Output only the complete updated file content with the new intro in the frontmatter. Do not include analysis or explanations - just return the file ready to write.'
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}
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const prompt = yaml.load(fs.readFileSync(promptTemplatePath, 'utf8')) as PromptData
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prompt.messages.forEach((msg) => {
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