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amplitude/builder-skills

規劃並執行產品發布的多渠道分發策略,涵蓋 X/Twitter、Reddit、LinkedIn、Hacker News 等平台。當有人要求制定分發計畫、找出發布渠道、建立媒體名單、設定內部宣傳或協調多渠道推廣時,使用此技能。

builder-skills 是什麼?

這項技能是一套完整的產品發布分發引擎,專為開發者工具、SaaS 和技術產品的發布而設計。它基於「先廣撒網,再重點投入」和「發布只是第一天」的核心理念,提供涵蓋 X/Twitter、Reddit、LinkedIn、Hacker News、BlueSky、Product Hunt 和電子郵件等渠道的深度戰術手冊。技能不僅指導何時發布、如何撰寫文案(呼應 launch-tweet 等輔助技能),還包括內部宣傳策略(如建立 #amplify 頻道)和發布後回顧框架,以量化各渠道的流量、註冊和互動表現。它支援自動化工具(如 Claude Code、Cursor, 或 Codex),通過結構化清單和序列來消除發布當天的猜測,幫助團隊將一次性發布轉化為可重複、持續優化的系統。

相容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/amplitude/builder-skills/tree/HEAD/launch-skills/skills/launch-distribution

在你喜歡的 AI 中提問

開啟一個已預先載入此 Agent Skill 的新對話。

說明文件

發布分發

此技能涵蓋了如何讓你的發布被大眾看見的「在哪裡」和「怎麼做」。即使訊息和素材再好,若沒有分發也是白費。目標不是無所不在——而是在你出現的每個地方都有效,並建立起一個能隨著每次發布不斷改進的可重複系統。

分發哲學

兩個原則:

  1. 先廣撒網,然後重點投入。 發布當天,在所有相關渠道發文。你無法事先知道哪個渠道會成功。發布後,根據數據進行分析,並對效果好的渠道增加投入。

  2. 發布只是第一天,不是整個故事。 最初的推廣能帶來知名度,但長尾效應——SEO、口碑、社群——才能推動持續成長。分發規劃應該兩者兼顧。

渠道戰術手冊

對大多數產品發布而言,三個 ROI 最高的渠道是 X/Twitter、Reddit 和 LinkedIn。先精通這些,然後再疊加其他渠道。

X/Twitter(主要渠道)

X 是科技產品的默認發布渠道。這裡是初始關注浪潮的起點,在此處的強勁表現會連鎖影響其他渠道(人們會截圖推文發到 LinkedIn,在 Reddit 上分享文章連結等)。

時間與機制:

  • 在當天早些時候發布啟動推文(早上,你的目標時區)
  • 演算法極度獎勵早期互動——最初的 60-90 分鐘決定了觸及範圍
  • 準備好 5-10 個擁有相關受眾的人,在第一小時內轉發或引用推文
  • 在前 2-3 小時內積極回覆每一條回覆。不要只是按讚——要進行實質性的回應

最大化觸及:

  • 在整個發布週內,將發布推文置頂在你的個人檔案上
  • 在接下來的 2-3 天內,用不同的角度(不同的價值主張、用例、指標)引用你自己的推文
  • 如果發布推文獲得了關注,請在 24 小時內發布更深入的後續討論串
  • 監控誰在參與——回覆任何擁有顯著影響力的受眾,他們可能會再次分享

參見 launch-tweet 技能以了解如何撰寫實際貼文(第一行鉤子、討論串結構、媒體規則)。

Reddit(最高品質的討論)

Reddit 在發布方面被低估了。討論品質高,受眾技術性強且意見鮮明,而且一篇好的 Reddit 貼文比推文有更長的生命週期。子版貼文會在搜尋結果中出現數月。

尋找正確的子版:

  • 找出 2-4 個你的目標受眾所在的子版。跳出顯而易見的選擇——擁有 1 萬到 10 萬成員的利基子版通常比大型子版轉換率更高。
  • 仔細閱讀每個子版的規則。許多子版禁止或限制自我推銷。有些有特定的發布日或討論串。有些則要求最低帳號年齡或 karma 值。
  • 在發布前潛水觀察。如果你從未參與過某個子版,你的發布貼文會感覺像(並被標記為)路過式垃圾郵件。

貼文框架:

  • 最佳格式:「我建立了 X 來解決 Y」——關於問題和你所建構內容的真實故事。這是對社群的貢獻,而不是廣告。
  • 展現弱點:你哪裡錯了,還有哪些地方不完善。Reddit 回報誠實,懲罰精美的包裝。
  • 撰寫一篇包含連結的實質性文字貼文,而不是純連結貼文。

互動:

  • 回覆每一條評論,即使是批評性的評論。不要防衛——承認合理的觀點,解釋權衡取捨。
  • 在 12 小時和 24 小時後再回來查看——Reddit 討論串的活躍期比推文更長。

LinkedIn(B2B 最強)

LinkedIn 是 B2B 和企業級產品發布表現最好的渠道。受眾是購買決策者,而且與其他平台相比,優質貼文的自然觸及率非常高。

推廣機制:

  • 讓 3-5 位團隊成員或盟友在第一小時內發布評論。LinkedIn 的演算法將早期評論視為強烈的品質信號。
  • 鼓勵團隊成員帶著自己的評論進行分享(而不僅僅是點擊「轉發」)。帶有原創評論的轉發,其觸及率是單純轉發的 3-5 倍。
  • 標記相關人員和公司,但只有在他們真的會關心的情況下。無差別的標記看起來很絕望。
  • 創辦人/個人帳號的表現始終比公司頁面貼文好 3-10 倍。使用個人帳號作為主要發布帳號。

參見 launch-tweet 技能以了解 LinkedIn 貼文格式、鉤子結構和語氣。

Hacker News

  • 新產品使用「Show HN」;重大更新使用一般提交
  • 標題:事實性且具體,避免行銷語言。「Show HN:[名稱] – [它做什麼的簡單描述]」
  • 最佳時間:工作日早上(美國東部時間)
  • 在評論區出現。回答每一個問題,尤其是技術性問題。誠實和深度大有幫助;行銷話術會毀掉 HN 貼文
  • HN 首頁會帶來大量流量,但註冊轉換中等——預期會有很多只是看看的人。不要將其視為可靠渠道,但當它奏效時,其反向連結和知名度是值得的

其他渠道

BlueSky / Threads — 受眾較小但正在成長。競爭較低意味著每篇貼文的能見度更高。值得發文——投入最少,偶爾會有意想不到的巨大回報。

Product Hunt — PH 可以在 24 小時內帶來超過 1000 名訪客,並提供有用的社會證明(徽章、排名)。然而,編輯團隊現在會手動精選首頁,這使得成功更難預測。AI 產品會面臨額外的審查。為了一次認真的 PH 發布,請預算 50-120 小時,因此最好保留給你有時間和精力的 Tier 1 發布時刻。如果你確實要發布:選擇週二或週三的太平洋時間凌晨 12 點,回覆每一條評論,並且不要直接要求按讚。

電子郵件 — Tier 1:完整的郵件列表公告。Tier 2:細分給相關用戶。Tier 3:包含在更新日誌摘要中。在社群貼文發布後再發送電子郵件(讓社群貼文在互動上取得先機)。請參閱 launch-email 技能以了解主旨行、結構和細分策略。

媒體與記者 — 僅適用於 Tier 1 發布。隨著時間建立你自己的聯絡人名單。在發布前 1-2 週聯繫他們,提供獨家資訊或提前預覽。提供記者數據、趨勢背景或反向觀點——而不僅僅是一份新聞稿。不要期望一定會有報導;媒體是額外紅利,而不是分發策略。

部落格 / 內容 — 為 Tier 1 和 Tier 2 發布發布部落格文章(請參閱 launch-blog-post 技能)。對於技術產品,可以交叉發布或投稿到 dev.to、Medium、Hashnode。在發布後的第一週內包含一篇教學文。在文件中加入指向部落格文章的超連結,反之亦然。

內部宣傳

這是最被低估的分發杠杆。你的團隊擁有集體的社群影響力,很可能超過你的公司帳號。

建立 #amplify 頻道

建立一個專門的 Slack/Teams 頻道,你可以在其中發布發布素材和文案,供團隊成員在他們的個人帳號上分享。讓它變得簡單:

  • 預先寫好可供他們自訂的文案
  • 直接提供貼文的連結,方便他們按讚、轉發或評論
  • 明確的要求:「請在接下來 2 小時內分享這個」

使其成為文化

只有當領導層使用且參與成為常態時,#amplify 頻道才能發揮作用。它不應該讓人感覺是一種義務——將其定位為「這是我們推出的一個很酷的東西,幫我們宣傳出去。」表揚那些帶來互動的團隊成員。

人脈與影響者請求

對於 Tier 1 發布,親自聯繫 10-20 個擁有相關受眾的人,請求他們轉發。這些應該是真正的人脈關係,而不是冷冰冰的陌生開發。來自你領域中受人尊敬的人的帶有個人評論的引用推文,價值超過 100 次公司轉發。

分發順序

在發布當天,時機很重要。這是一個典型的順序:

清晨(目標時區,早上 6-8 點):

  • 在 X/Twitter 發文
  • 提交到 Hacker News(如果適用)

上午中段(早上 9-11 點):

  • 在 LinkedIn 發文
  • 在 Reddit 發文(目標子版)
  • 在 BlueSky、Threads 發文
  • 發送 #amplify 頻道通知
  • 發布部落格文章

接近中午 / 下午早些時候:

  • 發送電子郵件公告
  • 聯繫媒體聯絡人(如果適用)
  • 親自發送私訊給關鍵影響者聯絡人,請求轉發

全天:

  • 在所有渠道進行監控和互動
  • 回覆每一條評論、問題和提及
  • 在 #amplify 頻道分享有趣的回覆/討論

發布後回顧

在發布後一週內進行回顧(請參閱 launch-strategy 以了解完整的回顧框架)。針對分發,特別記錄:

  1. 渠道表現 — 哪個渠道帶來了最多流量?最多註冊?最多互動?使用 UTM 參數進行追蹤。
  2. 意外情況 — 是否有意料之外的渠道表現良好?是否有「穩妥的」渠道表現不佳?
  3. 網路效應 — 哪次轉發或提及帶來了最多的下游流量?這些是你下一次發布的最佳推廣夥伴。
  4. 時機 — 順序是否正確?是否有任何事應該更早或更晚進行?
  5. 投入 vs. 產出 — 你在哪裡花費了最多的時間?值得嗎?這會影響你下一次發布的資源分配。

根據發現更新你的分發清單。目標是讓每次發布都比上一次更容易、更有效。

建立分發引擎

分發不是一次性的計畫——它是一個系統。在連續的發布過程中:

  • 壯大你的 #amplify 文化,讓團隊參與成為自動化的行為
  • 在每次發布中建立你的媒體與影響者資料庫
  • 長期追蹤渠道表現,了解哪些是你的可靠渠道,哪些只是碰運氣
  • 培養特定平台的直覺——在 X、Reddit、LinkedIn 和 HN 上有效的做法各不相同,你需要透過實作來學習
  • 重複使用與模板化——你的發布順序、郵件模板、社群格式應該不斷被優化,而不是每次從頭發明

最佳的分發是一種習慣,而不是一次費力的英雄事蹟。

輔助技能

  • launch-strategy — 定義發布層級和清單,驅動應啟用哪些渠道
  • launch-tweet — 為每個平台撰寫實際的社群文案
  • launch-email — 電子郵件主旨行、結構和細分策略
  • launch-blog-post — 社群和電子郵件指向的長篇內容
  • launch-video — 內嵌在貼文中的視覺素材(示範影片、GIF、截圖)
  • launch-metrics — UTM 設定和發布後的渠道表現分析

Individual skills in this repo

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

amplitude/builder-skills

Performs deep analysis of a specific Amplitude chart to explain trends, anomalies, and likely drivers. Use when a metric looks unusual, investigating a spike or drop, or understanding the "why" behind numbers.

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 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.

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

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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