Marketing & Growth

lionkiii Skill

Show a domain's Domain Rating trend over time from Ahrefs. Reveals DR growth, drops, and significant changes. Use when user says "DR history", "domain rating history", "DR trend", "domain rating over time", or "DR changes".

lionkiii Skill

Detect content decay by identifying pages that are losing both clicks and impressions over a 90-day comparison window in Google Search Console. Surfaces pages with true long-term decline (not seasonal variation) and assigns decay severity ratings. Use when user says "content decay", "declining pages", "losing rankings", "pages losing traffic over time", or "90 day decline".

lionkiii Skill

Find quick SEO wins by identifying high-impression, low-CTR keywords using Google Search Console data. Surfaces keywords already ranking where better titles or content expansion could quickly boost traffic. Use when user says "GSC opportunities", "quick wins", "low CTR keywords", "high impressions low clicks", or "easy SEO wins".

lionkiii Skill

Discover a domain's top organic competitors from Ahrefs: competing domains, keyword overlap count, shared keywords, and unique competitor keywords. Use when user says "Ahrefs competitors", "organic competitors", "competing domains", "keyword overlap", or "who competes with".

lionkiii Skill

Find keywords that competitors rank for but the target domain does not, using Ahrefs data. Reveals content opportunities and topic gaps. Use when user says "content gap", "keywords competitors rank for", "missing keywords", "competitor keywords", or "content gap analysis".

lionkiii Skill

Find broken backlinks pointing to a domain using Ahrefs: links targeting 404 pages that can be reclaimed. Prioritizes highest-DR lost links for maximum recovery impact. Use when user says "broken backlinks", "broken links", "link reclamation", "dead backlinks", or "404 backlinks".

lionkiii Skill

Detect keyword cannibalization by identifying queries where multiple pages are competing for the same ranking. Uses Google Search Console data to find queries appearing across 2 or more pages. Use when user says "keyword cannibalization", "same keyword multiple pages", "cannibalizing keywords", or "duplicate rankings".

lionkiii Skill

Analyze branded vs non-branded traffic split using Google Search Console data. Shows what percentage of organic clicks come from brand name searches vs generic queries. Requires user to confirm brand terms before analysis. Use when user says "brand vs nonbrand", "branded traffic", "brand queries", "non-brand traffic", or "branded vs generic".

lionkiii Skill

Analyze a domain's anchor text distribution from Ahrefs: see the breakdown of anchor text used across all backlinks and assess link profile health. Use when user says "anchor text", "anchor analysis", "anchor distribution", "link anchors", or "anchor text profile".

traygerbig Skill

Shopify日本市場向けストア管理AIエージェント — Admin API + Storefront APIで商品・注文・テーマ・SEO・配送・決済を自動化

misonl Bundle

SEO 基础、E-E-A-T、核心 Web 指标（Core Web Vitals）以及 Google 算法原理。

openshift Bundle

Use when the user asks how many lines of code have been scanned/audited, wants a LoC breakdown by language or repo across the security-audit campaign, or asks to (re)build the LoC dashboard. Produces gh-languages-cache.jsonl and a self-contained loc-dashboard.html from the campaign manifests.

openshift Bundle

Use when the user asks for campaign metrics, a leadership scoreboard, or to (re)build/refresh progress-tracker/metrics/traust-metrics.md. Deterministically harvests headline numbers from the campaign's derived artifacts (executive summary, validation/fuzz dashboard, threat register, progress-tracker control files) and the harness's own tree/git metadata into one consistently-updatable Markdown scoreboard.

openshift Bundle

Static source-code vulnerability scan. Reads a target directory (and its threat model — <repo>-threat-model.md, or legacy THREAT_MODEL.md — if present), spawns parallel review subagents per focus area, and writes <repo>-vuln-findings.{json,md} with campaign finding IDs ({REPO_SLUG}-{SHORTSHA}-{NNN}) and the shared severity enum, for /triage to consume. When a <repo>-security-audit.json baseline exists, the scan supplements it: known findings are deduped against the baseline and new verified findings enter the disposition ledger directly (as findings-carrying events; the baseline is never written — gate A15) at not_verified (no triage precondition; triage adjudicates downstream) — /secure-code-audit remains the preferred baseline and /verify-remediation the way to update it after fixes. Read-only — no building, running, or network. Use when asked to "scan for vulns", "review this code for security issues", "find bugs in <dir>", "re-sweep an audited repo", or as the step between /threat-model and /triage.

openshift Bundle

Use when the user asks what the campaign or harness is costing, how spend is trending, which business unit a cost lands on, cost per finding or per repo, whether spend is on budget, or asks to capture/refresh financial tracking over time — e.g. "what did July cost", "spend by business unit", "are we over budget", "cost per critical", "is spend going up", "refresh the financial report". Runs the deterministic spend chain (session actuals → per-lane attribution → business-unit bridge → unit economics → trend) and reports estimates that are always labelled as estimates, with an --invoice seam for reconciling against real billing.

openshift Bundle

Use when the user wants to remediate a SYSTEMIC pattern (one weakness class × N repos — an insecure-patterns CWE entry or a PROGRESS.md rollup like the Konflux mutable-pipelineRef) as one campaign instead of per-finding fixes — "fix this pattern everywhere", "fleet fix", "pin pipelineRefs across the fleet", "batch-remediate CWE-X". Authors one reviewed transform spec with golden tests, applies it across every affected repo via apply_fleet_fix.py (diffs only), and only after human batch approval opens MRs/PRs through the remediate-finding fork flow; merge events flow back through track-findings for pattern burndown.

openshift Bundle

Use when the user asks for a live-validation dashboard, fuzzing-results dashboard, validation coverage roll-up, or "how many findings were confirmed exploitable / refuted" — e.g. "build the validation dashboard", "combine validation and fuzz results", "what did live validation confirm", "validation false-positive rate". Aggregates every validations/*/*validation*.json report plus FUZZ-CAMPAIGN-SUMMARY.md into one self-contained HTML dashboard.

nirholas Bundle

Automates X/Twitter growth via browser console scripts. Auto-likes tweets by keyword/user filters, auto-comments on target users, follows by keyword search or engagement, follows audiences of target accounts with rich filtering, trains the algorithm for niches, and runs combined growth suites. All require pasting core.js first. Use when automating Twitter growth, engagement, following, or audience building.

nirholas Skill

Updates X/Twitter profile information including bio, avatar, header image, display name, location, website, and QR code sharing. Use when updating profile fields, optimizing profile for growth, or sharing profile via QR code.

nirholas Skill

Monitors X/Twitter follower changes using browser console scripts. Detects who unfollowed, tracks new followers with welcome messages, monitors any public account, runs continuous monitoring with alerts, tracks follower growth over time, and analyzes follower demographics. Use when tracking follower changes, detecting unfollowers, or monitoring Twitter accounts.

qihangzhang-272 Bundle

Build the market and competitive landscape layer for an AI investment memo. Use when an IC memo, investment memo, product investment report, or AI case review needs market sizing, competitor mapping, positioning, moat assessment, bull/base/bear scenarios, or why-now context.

shenyuannext Bundle

提供从单页快速检查、完整 HTML 审计到全站 SEO 策略、实施、实验和效果验证的一体化工作台，覆盖 Google、Bing 及 AI 搜索。适用于技术 SEO、抓取与渲染、索引、robots.txt、站点地图、规范链接、重定向、元数据、内链、结构化数据、PageSpeed、核心网页指标、关键词与意图研究、内容规划与清理、流量下滑、网站迁移、国际化、电商、图片和视频搜索、大型网站抽样、Search Console、IndexNow 及 AI 搜索可见度分析。可结合 URL、代码、渲染页面、日志、抓取文件、第一方数据和关键词数据集使用。不用于付费搜索管理、应用商店优化、排名或引用保证、垃圾外链、虚构指标及缺乏证据的因果判断。

shenyuannext Bundle

为创始人和增长团队制定以证据为基础的营销策略、市场进入计划、客户方案、传播计划、发布活动和转化文案。适用于早期获客、首批用户、理想客户画像、品牌定位、渠道选择、产品发布、创始人销售、生命周期增长、定价与转化、免费工具获客、30/60/90 天执行规划及客户交付。不用于承诺缺乏依据的结果、虚构证据、自动化骚扰或隐瞒付费推广。

shenyuannext Bundle

作为小红书工作流总入口，负责识别并组合账号定位、主页、选题、标题、评论、内容、转化和复盘任务。适用于需要整体诊断，或暂时不确定应从定位、主页、选题、标题、正文、评论还是转化开始的情况。目标明确的单项需求应直接调用对应的 xiaohongshu-* 或 plan-xiaohongshu-growth 技能。

shenyuannext Bundle

生成、诊断、筛选和改写小红书笔记标题及封面短句，适用于图文、短视频、教程、对比、产品、服务和搜索型内容。用户明确需要标题、封面标题、标题诊断、标题优化、标题方向或多组候选时使用；如果还需要正文、关键词或完整发布稿，应使用 plan-xiaohongshu-growth。

shenyuannext Bundle

规划和诊断合规的自然增长，覆盖 SEO、GEO 与 AI 搜索、Reddit 调研和社区参与、Product Hunt 发布、SaaS 冷启动、创始人内容、数字公关及海外品牌发现。适用于出海增长、SEO/GEO 方案、AI 搜索可见度、社区洞察、内容增长、外链策略和 30/60/90 天自然增长路线图。

shenyuannext Bundle

当用户需要通过豆包网页端或 Android Appium 进行多轮 AI 搜索采样，并生成 JSON 数据及 Markdown、Excel、HTML 格式的 GEO 报告时使用。必须提供关键词或问题及采样次数；只有在进行品牌与竞品对比时，才需要目标实体和实体类型。不用于普通爬虫、豆包 API 对话、隐藏接口提取、SEO 写作、高频自动化或一次性问答。

shenyuannext Bundle

诊断数字营销效果，覆盖数据分析、网站与应用、转化漏斗、归因、付费与自然渠道、CRM、留存、私域运营和 AI 营销流程。适用于 GA4、GTM、转化分析、ROI、ROAS、CAC、LTV、数据看板、增长诊断、落地页优化及 30/60/90 天增长规划。

shenyuannext Bundle

当用户需要按关键词在 ChatGPT 网页端进行多轮 AI 搜索采样，并汇总品牌、人物或产品的提及与引用情况时使用。输入包括关键词、采样次数、目标实体、实体类型、OpenCLI 配置和采样间隔；输出结构化 JSON 数据及可查看的 GEO HTML 报告。不用于普通网页抓取、ChatGPT API 对话、SEO 文案写作或一次性问答。

shenyuannext Bundle

当用户需要按关键词在 DeepSeek 网页端进行多轮独立窗口采样，并统计品牌、人物或产品的提及与引用情况时使用。输入包括关键词、采样次数、目标实体和实体类型；输出结构化 JSON 数据及可查看的 GEO HTML 报告。不用于普通网页抓取、DeepSeek API 对话、SEO 文案写作或一次性回答生成。

shenyuannext Bundle

设计、诊断和审校可持续的增长与营收运营系统。适用于把商业目标转化为跨内容、社交媒体、付费投放、私域/社群、电商、本地线下和 AI 自动化的闭环、SOP、节奏、指标、实验、团队与客户运营方案；也适用于判断项目能否跑通、为什么增长停滞、如何从 0→1 验证再规模化。涉及具体平台规则、算法、价格或基准时，必须重新核验当前官方信息。不得用于虚假互动、批量灌水、规避平台治理、收益保证或未经授权的平台操作。

shenyuannext Bundle

根据搜索意图、关键词结构、真实标题、实用正文、事实证据、收藏价值和自然咨询路径，策划、撰写、诊断和优化合规的小红书笔记。适用于内容创作、关键词布局、搜索流量、图文笔记、内容重构、周更内容、笔记诊断和可直接发布的文案。仅涉及主页、选题、标题、评论或转化路径时，应调用对应的小红书专项技能。

shenyuannext Bundle

创作、改写和诊断有事实依据的营销内容，覆盖文章、通讯、社交媒体、品牌账号、案例、行业观点和活动文案。适用于内容创作、公众号文章、品牌内容、营销与广告文案、案例复盘、内容重构、弱化 AI 痕迹，以及将同一份素材改编为符合不同平台习惯的内容。

shenyuannext Bundle

将已有 SEO 文章、公众号文章、官网内容、白皮书或产品页改造成更适合 GEO、便于 AI 引用且可核验的内容。输出包括原文评分、改写稿、前后差异、事实卡、FAQ、语义补强、数据核验计划、证据缺口和 CMS 发布建议；默认交付 Word、PDF、HTML 和 Markdown 四种格式。

shenyuannext Bundle

根据账号定位、用户场景、搜索意图、客户问题、异议、证据素材、生产能力和业务目标，建立小红书选题体系、内容系列、选题池及 7/14/30 天发布日历。适用于内容方向、系列策划、周更计划、产品种草、服务号和个人 IP 选题规划。只需要标题时使用 xiaohongshu-title，需要完整成稿时使用 plan-xiaohongshu-growth。

shenyuannext Bundle

设计合规的小红书转化路径，连接内容发现、主页承接、置顶笔记建立信任、评论互动、私信筛选，以及平台允许的店铺、服务、咨询、体验、购买、反馈和转介绍动作。适用于小红书获客、私信咨询、成交路径、内容转化、主页承接、服务号或产品号转化、免费工具使用、线索筛选和异议消除。仅修改主页时使用 xiaohongshu-profile，需要完整笔记文案时使用 plan-xiaohongshu-growth。