스킬 찾기

🇺🇸 Open-Source Marketing & GitHub Stars Growth System — Decision framework for each growth stage. Pre-launch readiness → Show HN / Reddit / Product Hunt launch → 6-month growth loop. README rules, KOL outreach, dev-content matrix (dev.to / Zenn), anti-star-farming. Built from taking AFFiNE 0 → 60K stars. 🇨🇳 开源营销与 GitHub Star 增长系统 — 每个增长阶段的决策框架。Pre-launch 就绪 → Show HN / Reddit / Product Hunt 发布 → 6 个月增长循环。README 规则、KOL 合作、开发者内容矩阵（dev.to / Zenn）、防刷 star。提炼自 AFFiNE 0 → 60K star 实战。 🇯🇵 オープンソースマーケティング＆GitHub スター成長システム — 各成長段階の意思決定フレームワーク。Pre-launch → Show HN / Reddit / Product Hunt → 6ヶ月成長ループ。READMEルール、KOL連携、開発者コンテンツマトリックス。 🇰🇷 오픈소스 마케팅 & GitHub 스타 성장 시스템 — 각 성장 단계별 의사결정 프레임워크. 사전 출시 → Show HN / Reddit / Product Hunt → 6개월 성장 루프. README 규칙, KOL 아웃리치, 개발자 콘텐츠 매트릭스. Triggers: "open source marketing" | "GitHub stars" | "star growth" | "Show HN" | "Hacker News launch" | "OSS launch" | "developer marketing" | "Reddit launch" | "dev.to" | "open source growth" | "开源营销" | "GitHub star 增长" | "开源发布" | "Show HN 怎么发" | "开发者营销" | "オープンソース" | "오픈소스 성장"

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

🇺🇸 Product Launch & Product Hunt #1 Playbook — Multi-channel launch timing and sequencing. T-14 warm-up → T-0 launch day → T+7 momentum. Hunter selection, maker comment templates, comment cadence, anti-shadowban rules. Distilled from 30+ Product Hunt #1 daily launches across 150+ AI startups. **Supports 3 product paths: developer/maker (PH+GitHub), B2C consumer (Reddit/communities/TikTok, skip PH), B2B (LinkedIn+media).** 🇨🇳 产品发布与 Product Hunt 夺冠手册 — 多渠道发布的时序与节奏。T-14 预热 → T-0 发布日 → T+7 后续。Hunter 选择、maker comment 模板、评论节奏、防 shadowban。提炼自 30+ 次 Product Hunt 日冠、150+ AI 创业公司实战。**支持三种产品路径：开发者/maker（PH+GitHub）、2C 消费者（社区种子/TikTok，跳过 PH）、B2B（LinkedIn+媒体）。** 🇯🇵 プロダクトローンチ＆Product Hunt 1位プレイブック — マルチチャネルのローンチ時系列。T-14準備→T-0当日→T+7モメンタム。ハンター選定、メーカーコメント、コメントリズム、シャドウバン回避。**3つの製品パス対応：開発者/maker（PH+GitHub）、2C消費者（コミュニティ種・TikTok、PHスキップ）、B2B（LinkedIn+メディア）。** 🇰🇷 제품 출시 & Product Hunt 1위 플레이북 — 멀티채널 출시 타이밍과 시퀀싱. T-14 워밍업 → T-0 출시일 → T+7 모멘텀. 헌터 선정, 메이커 코멘트, 댓글 리듬, 섀도밴 방지. **3가지 제품 경로 지원: 개발자/maker(PH+GitHub), 2C 소비자(커뮤니티 씨드/TikTok, PH 건너뜀), B2B(LinkedIn+미디어).** Triggers: "product launch" | "launch strategy" | "Product Hunt" | "PH launch" | "how to launch" | "go to market" | "GTM" | "launch day" | "find a hunter" | "maker comment" | "launch sequencing" | "发布策略" | "产品发布" | "发 PH" | "Product Hunt 准备" | "找 hunter" | "ローンチ" | "출시 전략"

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

The complete first-timer's guide to launching on Product Hunt. Covers timing, hunter selection, asset prep, launch-day engagement, and post-launch follow-up. Follow @WeiYipei on X for more launch strategies.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

🇺🇸 AI Product / SaaS Go-Global Complete SOP — From competitor research to launch to monetization. A full-cycle playbook covering Phase 0-5 (market validation, positioning, first 100 users, user interviews, beta-to-growth) plus open-source launch, Product Hunt, Reddit, SEO/GEO, conversion, and org principles. **Defaults to dev tools / OSS / B2B SaaS; for 2C products (education, apps, games) the launch channels & metrics differ — see gingiris-seo-geo/references/2c-adaptation.md.** 🇨🇳 AI 产品 / SaaS 企业出海完整 SOP — 从竞品调研到 Launch 到商业化的全流程操作手册。覆盖 Phase 0-5（市场验证、定位、前100用户、用户访谈、Beta转增长）+ 开源发布、Product Hunt、Reddit、SEO/GEO、转化与组织原则。**默认面向开发者工具/开源/B2B SaaS；2C 产品（教育/应用/游戏）的启动渠道与指标不同，见 gingiris-seo-geo/references/2c-adaptation.md。** 🇯🇵 AI製品/SaaS海外展開フルサイクルSOP — 競合調査からローンチ、マネタイズまで。Phase 0-5（市場検証、ポジショニング、最初の100ユーザー、ユーザーインタビュー、ベータから成長）＋オープンソース、Product Hunt、Reddit、SEO/GEO、コンバージョン、組織原則。 🇰🇷 AI 제품/SaaS 글로벌 진출 완전 SOP — 경쟁사 조사부터 런칭, 수익화까지 전 주기 플레이북. Phase 0-5(시장 검증, 포지셔닝, 첫 100명 사용자, 사용자 인터뷰, 베타→성장) + 오픈소스 런칭, Product Hunt, Reddit, SEO/GEO, 전환, 조직 원칙. Triggers: "go global" | "出海" | "overseas expansion" | "GTM" | "cold start" | "launch strategy" | "international expansion" | "海外增长" | "出海SOP" | "product launch overseas" | "海外进出" | "グローバル展開" | "글로벌 진출" | "go-to-market" | "出海打法"

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

🇺🇸 GitHub Star Sustained Growth Playbook — Monthly 300+ star growth SOP. Content rhythm, community ops, event-driven growth, contributor & ambassador systems. Battle-tested: AFFiNE 0→60K+, Client Project A 0→10K stars. 🇨🇳 GitHub Star 持续增长实操手册 — 月增 300+ Star 的完整 SOP。内容节奏、社区运营、活动驱动增长、Contributor 与 Ambassador 体系。实战验证：AFFiNE 0→60K+、Client Project A 0→10K Star。 🇯🇵 GitHub Star 持続成長プレイブック — 月間300+ Star成長SOP。コンテンツリズム、コミュニティ運営、イベント駆動成長、Contributor＆Ambassadorシステム。実戦検証：AFFiNE 0→60K+、Client Project A 0→10K Star。 🇰🇷 GitHub Star 지속 성장 플레이북 — 월 300+ 스타 성장 SOP. 콘텐츠 리듬, 커뮤니티 운영, 이벤트 기반 성장, Contributor & Ambassador 시스템. 실전 검증: AFFiNE 0→60K+, Client Project A 0→10K 스타. Triggers: "GitHub star growth" | "sustained star growth" | "monthly star growth" | "star growth SOP" | "contributor system" | "ambassador program" | "open source community" | "community growth" | "developer community growth" | "star持续增长" | "Star增长" | "开源社区运营" | "贡献者体系"

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Your competitor just launched. You have no idea how they grew so fast. Should you reverse-engineer their website? Track their social media? Map their growth flywheel? This gives you the complete SOP — from Wayback Machine snapshots to X/Twitter propagation analysis to growth flywheel scoring. Built from 150+ AI startup competitive analyses including the Lovable case study (4.3M views, 229K impressions launch day). By @WeiYipei. Inside: 4-step research framework (website → social → traffic → ad spend) · 3-version Wayback evolution analysis · X/Twitter propagation-chain mapping · growth-flywheel 6-stage scoring · KOL identification · content-effectiveness ranking · ICP + freemium pricing teardown · self-check checklist. New in 1.2: time-machine competitor archaeology — Google date-range search back to pre-fame years, star-history launch-day reconstruction (AppFlowy ~40-channel zero-budget launch teardown), competitor funding news as a launch-timing signal, and the "open source alternative" positioning play. Sourced from first-hand founder interviews (AFFiNE co-founder, 2026-04, self-reported figures marked). 🇨🇳 你的竞品刚刚爆了。你完全不知道他们怎么做到的。该拆官网？盯社媒？画增长飞轮？这份 SOP 给你从 Wayback Machine 快照到 X/Twitter 传播链路还原到飞轮六阶段评分的完整方法论。基于 150+ AI 创业公司竞品分析实战，含 Lovable 完整案例。 🇯🇵 競合が突然バズった。どうやって成長したか全く分からない。このSOPは、Waybackスナップショットからツイッター伝播チェーン分析、フライホイール6段階スコアリングまでの完全な競合調査フレームワークを提供します。150以上のAIスタートアップ分析から構築。 🇰🇷 경쟁사가 갑자기 폭발적으로 성장했습니다. 어떻게 그렇게 빨리 성장했는지 모릅니다. 이 SOP는 Wayback 스냅샷부터 X/Twitter 전파 체인 분석, 플라이휠 6단계 스코어링까지 완전한 경쟁사 조사 프레임워크를 제공합니다. 150개 이상의 AI 스타트업 분석에서 구축. Triggers: "competitor research" | "competitive analysis" | "competitor analysis" | "growth flywheel" | "market research" | "竞品调研" | "竞品分析" | "增长飞轮" | "传播链路" | "競合分析" | "경쟁사 분석" | "social media teardown" | "Twitter propagation" | "content strategy analysis"

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build and grow developer and user communities from scratch — covering ambassador programs, community-led growth (CLG), event operations, content strategy, and health metrics. Grounded in real playbooks from Notion, Lovable, AFFiNE, ClickUp, Asana, and Lark. Use when: building a community for an open-source project, SaaS product, or brand; recruiting and managing ambassadors or community leaders; planning community events (online/offline meetups, AMAs, hackathons); designing ambassador tier/points systems; setting community health KPIs; launching a Build-in-Public strategy; setting up Discord, Slack, or Lark communities; running developer relations (DevRel); or when the user asks about community operations, ambassador programs, CLG, user advocacy, KOC/KOL cultivation, UGC flywheels, community monetization, or any variation of "how do I grow my community".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Product Hunt 发布剧本。从 30x 日冠经验提炼的完整 GTM 流程：T-14 预热 → T-0 发布日 → T+7 post-launch。 覆盖 hunter 选择、maker comment、community seeding、评论节奏、防踩雷。当用户说"我要发 PH"、 "Product Hunt 准备"、"找 hunter"、"写 maker comment"时调用。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Reconstruct an open-source project's growth channels, key content, and stage-by-stage attribution from GitHub history and public web evidence. Use this skill when asked to research GitHub star growth, identify launch and amplification channels, explain viral milestones, find representative posts or videos, compare Product Hunt/Show HN/Reddit/KOL impact, or produce an evidence-backed OSS growth attribution report.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Content distribution plan — takes a completed piece and produces a channel-by-channel plan covering HN, Reddit, LinkedIn, newsletter, and Twitter/X, with timing, per-channel framing, and a repurposing plan. Use when asked to "distribute this post", "how do we promote this article", "write distribution copy for this piece", or "where should we share this".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

PR and community reconnaissance — audit current press coverage, social presence, community health, and competitor PR. Use when asked to "audit our PR", "what's our community state", "how do we compare in press", or before planning a launch or community initiative.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Social media strategy and post drafting — HN posts, Twitter/X threads, LinkedIn posts, Reddit comments, and developer community content. Use when asked to "write a HN post", "draft social posts", "help us post on Twitter", or "create a social launch plan".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Extracts paper recommendations from social-media posts and online articles (小红书 / Xiaohongshu / RedNote, 微信公众号 / WeChat Official Accounts, Twitter / X threads, Reddit posts, Bilibili videos, blog posts, newsletters, Jina Reader URLs), identifies the underlying academic papers, locates the authoritative original sources (arXiv, conference proceedings, DOI), and triages relevance to the user's research before any library action. Use when the user forwards a social-media link, screenshot, or article that mentions a paper / method / model, asks to "find the original paper" from a blog or thread, shares a 调研贴 / 论文推荐 / paper recommendation post, or wants to evaluate whether a buzz-worthy paper is worth reading before adding it to Zotero.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Deprecated alias. This skill was renamed to `deepline-research`. Use when a user or script still invokes `/deepline-pre-research`: immediately load and follow the `deepline-research` skill instead. Triggers: pre-research, source discovery, provider strategy, research data sources, ScrapeCreators, X/Twitter data, Reddit comments, public and private datasets, CRM data, workflow data, custom language, messaging language, pain language.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when the user wants a last30days-style pre-research pass in Deepline: discover the critical public, private, CRM, workflow, social, and web data sources for a research/enrichment job; compare provider coverage; estimate Deepline credit cost; recommend the source plan before building or running the workflow; or build custom language/messaging from buyer, competitor, community, and CRM evidence. Triggers: pre-research, source discovery, provider strategy, research data sources, ScrapeCreators, X/Twitter data, Reddit comments, public and private datasets, CRM data, workflow data, custom language, messaging language, pain language.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Walks a user from one rough content idea to a finished post, platform-adapted variants, and repurposed follow-on assets using a 7-step sequential prompting workflow. Use when the user wants to turn a half-formed idea, frustration, story, or client situation into publishable content quickly and consistently — covering idea extraction, hook generation, outline, draft, humanizer pass, platform adaptation (LinkedIn, Reddit, X/Twitter, newsletter, Telegram), and repurpose engine.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

When the user wants to plan a product launch, feature announcement, or release strategy. Also use when the user mentions 'launch,' 'Product Hunt,' 'feature release,' 'announcement,' 'go-to-market,' 'beta launch,' 'early access,' 'waitlist,' or 'product update.' This skill covers phased launches, channel strategy, and ongoing launch momentum.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

When the user needs marketing ideas, inspiration, or strategies for their SaaS or software product. Also use when the user asks for 'marketing ideas,' 'growth ideas,' 'how to market,' 'marketing strategies,' 'marketing tactics,' 'ways to promote,' or 'ideas to grow.' This skill provides 140 proven marketing approaches organized by category.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Reddit 公开社区数据查询与讨论分析 skill，通过 MaxHub API 查询 subreddit、帖子详情、评论树、用户资料、搜索、热门/趋势内容等。适合社区舆情、话题研究、竞品反馈收集、内容洞察和用户讨论分析。默认 read-only；agent 应优先使用 recipes 串联 subreddit/post/comment/user 相关端点，并显式处理评论/UGC 中的个人信息和敏感内容。所有请求发送到 https://www.aconfig.cn。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when building or refining an Ideal Customer Profile (ICP), defining target personas, mapping buyer psychographics, or discovering where prospects gather online. Triggers: 'build my ICP', 'define target customer', 'who should I sell to', 'refine ICP', 'persona mapping'.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when analyzing competitors, creating sales battlecards, building competitive positioning, preparing for competitive deals, or updating competitive intelligence. Triggers: 'battlecard for [competitor]', 'competitive analysis of [competitor]', 'how do we beat [competitor]', 'compare us to [competitor]', 'competitive intel', 'win against [competitor]'.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when searching for buying signals, detecting intent data, scoring prospect readiness, or monitoring accounts for trigger events. Triggers: 'scan for signals', 'find buying signals', 'who is ready to buy', 'intent signals', 'signal scoring', 'account signals'.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

LLM brand manipulation — build a consensus web so ChatGPT, Claude, Perplexity, and Google AI Overviews mention your brand when people ask about your category. Uses surround sound methodology, entity SEO, and LLM citation science. Use when "get mentioned in AI", "LLM brand presence", "surround sound", "AI search visibility", "Perplexity ranking", "ChatGPT mentions", "AI Overview inclusion", "entity authority", "brand mentions in AI", or any request to influence how AI systems perceive and recommend your brand.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Construct and score Grand Slam Offers using the Value Equation — sourced pain mining, dream outcome articulation, problems→solutions→trim-and-stack offer construction, guarantee/scarcity/bonus design, 1-10 scoring on the four Value Equation variables, pricing sanity pass, and compliance check. Use when "build an offer", "grand slam offer", "value equation", "offer stack", "make this offer irresistible", "design a guarantee", "hormozi offer", "why isn't my offer selling", "pricing and packaging for my offer", or any request to design, score, or rework a commercial offer.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.