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amplitude/builder-skills

Use this skill whenever a user wants to turn AI Visibility data into published content — whether they say "find content gaps", "what should we write about", "which topics have low visibility", "help me get cited by AI models", "create a blog post from our AI Visibility gaps", "we're losing to competitors on these prompts", or any variation where they want to go from AI visibility weakness to a draft article, landing page, or FAQ. This skill connects directly to Amplitude AI Visibility data (topics, prompts, visibility scores, citations, competitor data, full LLM responses and sources) and produces a publish-ready content brief plus full article draft. If the user mentions CMS (WordPress, Webflow, Contentful, Sanity, HubSpot, Ghost, Shopify), also trigger this skill to push the draft directly. Trigger even if they just say something vague like "what content should we create?" in an AI Visibility context.

What is builder-skills?

builder-skills is a Claude Code agent skill that use this skill whenever a user wants to turn AI Visibility data into published content — whether they say "find content gaps", "what should we write about", "which topics have low visibility", "help me get cited by AI models", "create a blog post from our AI Visibility gaps", "we're losing to competitors on these prompts", or any variation where they want to go from AI visibility weakness to a draft article, landing page, or FAQ. This skill connects directly to Amplitude AI Visibility data (topics, prompts, visibility scores, citations, competitor data, full LLM responses and sources) and produces a publish-ready content brief plus full article draft. If the user mentions CMS (WordPress, Webflow, Contentful, Sanity, HubSpot, Ghost, Shopify), also trigger this skill to push the draft directly. Trigger even if they just say something vague like "what content should we create?" in an AI Visibility context.

Works with~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/amplitude/builder-skills/tree/HEAD/content-marketing-skills/skills/prompt-gap-to-publish

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Documentation

Prompt Gap to Publish

You're helping a marketing or content team turn AI Visibility gaps into real published content. The core insight: when AI models answer questions in your product category, your brand's presence is measurable — visibility %, average rank, citation count. Where you're weak is where you should write. This skill finds those gaps and produces a publish-ready article draft — and pushes it straight into the user's CMS as a draft.


Step 0 — CMS Discovery (run once at the start of every session)

Before pulling any data, figure out where content will land. This saves the user from a copy-paste dead end at the finish line.

Check for already-connected CMS tools

Look at the tools currently available in your context. Known CMS MCP patterns to check for:

CMSMCP tool name patterns to look for
Sanitysanity, create_documents_from_markdown, publish_documents
Contentfulcontentful, create_entry, publish_entry
HubSpot CMShubspot, create_blog_post, update_blog_post
WordPresswordpress, wp_create_post
Ghostghost, create_post
Webflowwebflow, create_cms_item

If a CMS MCP is already connected: Great — confirm with the user in one sentence: "I can see you have [CMS] connected — I'll push the article there as a draft when we're done. Sound good?" Then proceed to Step 1.

If no CMS MCP is detected: Ask the user directly. Keep it short and warm — this is a one-time setup moment:

"Before we dive in — which CMS do you publish to? Once I know, I can push the article there as a draft automatically instead of handing you a block of Markdown to paste."

Offer these options (or let them type their own):

  • Sanity
  • Contentful
  • HubSpot CMS
  • WordPress
  • Webflow
  • Ghost / Shopify / Other
  • "Just give me Markdown for now"

Recommend the integration based on their answer

Once you know their CMS, give them a short, specific setup recommendation — then offer to continue anyway while they set it up:

Sanity:

"The Sanity MCP connector is available in the Cowork marketplace. Go to Settings → Plugins → search 'Sanity' and connect it with your project ID and token. Takes about 2 minutes. Want me to continue finding your content gaps while you do that? I'll be ready to push the draft when you're connected."

Contentful:

"There's a Contentful MCP connector available. Go to Settings → Plugins → search 'Contentful' and add your Space ID and Content Management API token. Continue finding gaps now?"

HubSpot CMS:

"HubSpot may already be connected via Glean. If not, search 'HubSpot' in Settings → Plugins. I'll create a blog post draft there when we're done."

WordPress:

"WordPress can connect via MCP (search 'WordPress' in Settings → Plugins, you'll need your site URL and an Application Password from WordPress admin). Alternatively, I can use Chrome to draft the post directly in your WordPress admin — just share the URL. Which works better?"

Webflow:

"Webflow's CMS API is the cleanest path — search 'Webflow' in Settings → Plugins and connect with your API key and Collection ID. I can also automate it via Chrome if you prefer not to set up a plugin."

Ghost:

"Ghost has a well-documented Admin API. Search 'Ghost' in Settings → Plugins and add your Admin API key and site URL. Quick to set up."

"Just Markdown for now":

"No problem — I'll give you a clean Markdown file at the end, formatted to paste straight into any CMS. You can always connect your CMS later and we'll push directly."

After giving the recommendation, don't wait for them to finish the setup — say something like: "I'll start pulling your content gaps now. By the time I have the article ready, you'll be all set." Then proceed to Step 1.

Store which CMS they named and whether it's connected — you'll use this in Step 6.


Step 1 — Identify the Brand

Use list_ai_visibility_org_brands to fetch available brands, then:

  • If the user mentioned a specific brand name, match it.
  • If there's only one brand in the list, use it without asking.
  • Otherwise, present the list and ask the user to pick.

Note the orgBrandId — you'll need it throughout.


Step 2 — Pull the Latest Report's Topic Data

Use get_ai_visibility_topics with the selected orgBrandId (omit reportId to get the latest). For each topic capture: topicId, topicName, visibilityPercentage, averageRank, relevancyScore, and citation counts.

Opportunity heuristic: topics with relevancy > 60% and visibility < 40% are your goldmine — AI models consider them core to the brand's category but barely mention the brand. Also flag topics where a competitor leads by 20+ points.


Step 3 — Drill into Prompts

For the top 3–5 opportunity topics, use get_ai_visibility_prompts with the topicId. Look for:

  • Prompts where the brand has 0% or very low visibility
  • Prompts where competitors dominate the response
  • Prompts with high response counts (more AI answers = more citation opportunity)

If available, use get_ai_visibility_prompt_responses to read the actual LLM-generated answers for the weakest prompts — this shows exactly what AI models currently say. It's the best possible brief for writing a better answer.


Step 4 — Rank and Present the Opportunities

Present a ranked shortlist of 3–5 content opportunities:

#TopicRepresentative promptAmplitude visibilityTop competitorContent type
1..."..."X%Competitor Y%Landing page

Content type guide:

  • Blog post — informational / comparison queries ("What is X?", "X vs Y", "How does X work?")
  • Landing page — high-intent queries ("Best X tool", "X for [use case]")
  • FAQ page — clusters of related questions on one topic
  • Product description — feature-specific queries where the brand should be the definitive source

Ask: "Which of these do you want to write first?" Wait for their pick.


Step 5 — Generate the Content Draft

Write a full, publish-ready draft for the chosen opportunity. Not a skeleton — real sentences, real content. The user should be able to paste this into a CMS today.

Always include

Content brief (upfront):

  • Target prompt / question
  • Search intent: informational / navigational / commercial
  • Primary audience
  • Competitor gap: what do competitors say that the brand doesn't?
  • LLM insight: quote or paraphrase what AI models currently say on this topic

Article fields:

  • slug — URL-friendly, keyword-rich
  • metaTitle — 50–60 characters, contains the primary keyword
  • metaDescription — 140–160 characters, summarizes the article with a CTA

Article body:

  • H1 — matches the target prompt closely
  • Introduction (2–3 paragraphs) — hook, brand authority, article preview
  • Body (3–6 H2 sections) — comprehensive answer; cite specific product capabilities with concrete details; include data or examples; each section should teach something independently useful
  • FAQ block (3–5 Q&As) — pull closely related prompts from Step 3; 2–4 sentences per answer; these are the formats AI models cite most reliably
  • Internal links (3–5 suggestions) — reference likely page names or URL patterns
  • CTA — one clear next step

Tips for content that gets cited by AI models

  • Answer the exact question in the first 2 sentences. AI models quote sources that answer directly.
  • Be specific about product capabilities. "Amplitude tracks X" beats "we help companies grow."
  • Cover competitors fairly. Articles that acknowledge competition rank better than ones that pretend it doesn't exist.
  • Use the exact phrases AI models use. Mirror the prompt language in your H1 and first paragraph.
  • The FAQ block is your most powerful citation magnet — format it as direct Q&A, not flowing prose.

Step 6 — Publish to CMS

Use what you learned in Step 0.

If a CMS MCP is connected

Create a draft directly. Follow this sequence:

  1. Show the user the slug, title, and first 100 words — ask "Ready to push this to [CMS] as a draft?"
  2. Once confirmed, create the draft with status draft (never published without explicit instruction).
  3. Report back with the draft URL or document ID so the user can find it immediately.

Sanity — use create_documents_from_markdown with the article content. Set _type to match the user's blog post schema (ask if unsure: "What's the document type for blog posts in your Sanity schema?"). Use publish_documents only if the user explicitly asks to publish.

Contentful — use create_entry with contentType matching their blog or article type. Set fields.title, fields.slug, fields.body. Leave published: false.

HubSpot — use the blog post creation tool with state: DRAFT. Include meta description and slug in the API call.

WordPress — use wp_create_post with status: draft. Map the H1 to title and article body to content.

Ghost — use create_post with status: draft. Include slug, title, html or lexical, and meta_description.

Webflow — use create_cms_item targeting the blog Collection. Map fields to the Collection's schema (ask the user for field names if the schema isn't obvious from context).

If no CMS is connected yet

If the user said "just Markdown" or hasn't connected a CMS yet:

"Here's your full article in Markdown — ready to paste into [CMS]. When you're ready to connect [CMS], I can push future articles there automatically."

Output the complete article as a clean, well-structured Markdown block.

Also say: "Want me to help you set up the [CMS] connection now? It takes about 2 minutes." If yes, walk them through the plugin setup from Step 0.

Always output the Markdown fallback — even when CMS creation succeeds — so the user has a local copy they own.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

amplitude/builder-skills

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amplitude/builder-skills

Deeply analyze Amplitude dashboards by analyzing key charts, surfacing top areas for concern and takeaways, identify anomalies, then explain changes using customer feedback trends.

amplitude/builder-skills

Designs A/B tests with proper metrics and variants, analyzes running or completed experiments, and interprets results with statistical rigor. Use when setting up experiments, checking experiment status, analyzing results, or making ship decisions.

amplitude/builder-skills

Synthesizes customer feedback into actionable themes including feature requests, bugs, pain points, and praise. Use when planning product roadmap, understanding user sentiment, investigating specific issues, or preparing voice-of-customer reports.

amplitude/builder-skills

Analyze MCP server usage instrumented with Amplitude's MCP Analytics SDK: break usage and errors down by tool, read the rationales within each tool to see what callers are trying to do, and produce a prioritized write-up of actionable fixes. Use this skill whenever the user asks to understand how their MCP server is being used, what agents/users are trying to do with it, why tool calls are failing, what to fix or improve in their MCP server, or asks for an "MCP usage report", "tool error analysis", "intent analysis", "rationale clustering", or "MCP insights". Also trigger when the user mentions [MCP]-prefixed events, tool rationale, tool call errors, or just finished instrumenting their MCP server and wants to see what the data says. Requires the Amplitude MCP connector.

amplitude/builder-skills

Read lost deals and churned accounts from your CRM, extract reasons clustered by theme (missing features, pricing, competitors, UX), and write a prioritized weekly analysis with product improvement recommendations. Use before roadmap planning or to build the case for prioritizing retention work.

amplitude/builder-skills

Creates Amplitude charts from natural language descriptions, handling event selection, filters, groupings, and visualization choices. Use when you know what you want to measure but prefer not to build the chart manually.

amplitude/builder-skills

Guide an Amplitude user through building a custom agent by suggesting use cases grounded in their role and data, shaping the idea into a well-formed spec, and generating a ready-to-run Global Agent deeplink that creates it. Use to create, build, or set up a custom agent, automate a recurring analysis, or put a repeated report on a schedule.

amplitude/builder-skills

Builds comprehensive Amplitude dashboards from requirements or goals, organizing charts into logical sections with appropriate layouts. Use when creating a complete dashboard from scratch or assembling existing charts into a cohesive view.

amplitude/builder-skills

Monitors all active and recently completed experiments across Amplitude projects, triages them by importance, then runs deep analysis and reporting on the most impactful ones. Use when the user asks to "check on experiments", "experiment status", "experiment review", "what experiments are running", or wants a periodic experiment health report.

amplitude/builder-skills

Pull Intercom tickets and Slack support messages from the past 7 days, classify each signal, enrich with CRM data (ARR, plan, renewal), score by customer value and churn risk, and output a tiered priority report saved to Drive. Use when you need a fast, data-driven view of what support signals matter most.

amplitude/builder-skills

Use this skill whenever a user wants to improve existing pages on their website to get cited more by AI models — whether they say "our pages aren't getting cited", "improve this page for AI visibility", "which of our pages should we update", "make this article more cite-worthy", "our competitors are getting cited instead of us", "update our content for AI search", or any variation where the goal is improving an existing asset rather than creating something new. This skill pulls owned pages from AI Visibility, identifies which ones have citation potential but are underperforming, compares them against the external pages that are winning citations on the same topics, and produces section-level rewrites or a full-page update — then pushes the revision to the CMS as a draft. Trigger even if the user just says "help me get cited more" or "why is [competitor] getting cited instead of us".

amplitude/builder-skills

Use this skill whenever a user wants to win AI citations on prompts that competitors currently dominate — whether they say "competitors are getting cited instead of us", "we're losing on these prompts", "how do I outrank [competitor] in AI answers", "find prompts where we should be winning", "create content to beat [competitor]", or any variation where the goal is capturing AI share on prompts a competitor currently owns. This skill pulls competitor visibility data from AI Visibility, identifies the specific prompts where competitors win and Amplitude is absent, clusters them by intent, and produces targeted comparison pages, alternatives content, or rebuttal assets — then pushes drafts to CMS. Trigger on any mention of competitor, prompt hijack, outrank, or "why is [competitor] getting cited instead of us".

amplitude/builder-skills

Use this skill whenever a user wants to test content variants before publishing to find which one will get cited most by AI models — whether they say "which version of this content will perform better", "test this article before we publish", "simulate how AI will respond to this content", "which angle should we use", "generate content variants and pick the winner", "run a simulation before publishing", or any variation where the goal is data-driven content selection rather than gut-feel publishing. This skill takes an identified content opportunity, generates 2–3 distinct variants with different angles or structures, scores them against actual AI model responses from AI Visibility, references the Simulate Changes feature for pre-publish validation, and produces a clear recommendation on which variant to publish — then pushes the winner to CMS. Trigger on any mention of "simulate", "test variants", "which performs better", "A/B content", or "before we publish".

amplitude/builder-skills

Use this skill whenever a user wants to understand which external sources are being cited by AI models on topics relevant to their brand, and wants to create content that will outrank those sources — whether they say "what sources are AI models citing", "why is [third-party site] being cited instead of us", "we want to be the definitive source on X", "build something that gets cited more than G2 or TechRadar", "create an authoritative asset", or any variation where the goal is producing a new reference asset (definition page, benchmark, methodology, glossary, comparison hub) designed to beat existing top-cited sources. This skill analyzes AI Visibility source data, reverse-engineers what makes top-cited pages authoritative, and produces a superior source asset — then pushes it to CMS as a draft. Trigger on any mention of "sources", "third-party citations", "authoritative content", "definitional pages", or "outrank".

amplitude/builder-skills

Instrument a Node/TypeScript MCP server with Amplitude's @amplitude/mcp-analytics SDK so tool calls, sessions, and rationale are tracked as Amplitude events. Use this skill whenever the user wants to add Amplitude analytics to their MCP server, mentions "MCP Analytics", "@amplitude/mcp-analytics", "instrument my MCP server", "track MCP tool calls", "add rationale to my MCP tools", or wants agent traffic (Claude, Cursor, ChatGPT) attributed back to Amplitude. Also use for adding UTM tagging to MCP-returned links, or for troubleshooting identity/user_id mismatches between MCP events and web/mobile Amplitude data.

amplitude/builder-skills

Instruments a pull request with Amplitude analytics that conform to the project's existing taxonomy. Reads the tracking plan via the Amplitude MCP server (events, properties, naming conventions), analyzes the PR diff to find the few user actions genuinely worth tracking, detects the codebase's SDK and tracking patterns, and adds instrumentation that matches both. Optionally (opt-in) stages new events and properties on an Amplitude tracking-plan branch for data-governance review. Use when asked to "instrument this PR", "add analytics to this change", "add tracking", "add Amplitude events", "instrument this feature", or "what should I track here".

amplitude/builder-skills

Diagnoses product health by cross-referencing Amplitude analytics (dashboards, charts, funnels, feedback, AI agent analytics), optionally Datadog (errors, latency, stack traces), and optionally Slack (qualitative feedback, bug reports, feature requests). Identifies what's broken, what's working, and what to do about it — with root causes, not just symptoms. Use when asked to "diagnose my product", "what's going on", "product health check", "what's broken", "where are users struggling", "give me a product diagnosis", or "what should I focus on".

amplitude/builder-skills

Turn one or more meeting transcripts, notes, or Slack threads into concise takeaways and clear action items with DRIs. Works with a single meeting or a batch from the whole week.

amplitude/builder-skills

Summarizes B2B account health by analyzing usage patterns, engagement trends, risk signals, and expansion opportunities. Use for customer success reviews, renewal preparation, QBRs, or account prioritization.

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