Marketing & Growth

guynhsichngeodiec Bundle

Golang data structures — slices (internals, capacity growth, preallocation, slices package), maps (internals, hash buckets, maps package), arrays, container/list/heap/ring, strings.Builder vs bytes.Buffer, generic collections, pointers (unsafe.Pointer, weak.Pointer), and copy semantics. Use when choosing or optimizing Go data structures, implementing generic containers, using container/ packages, unsafe or weak pointers, or questioning slice/map internals.

neetx Bundle

Plans ESO PvP strategy and builds. Use for Cyrodiil, Imperial City, Battlegrounds, dueling, siege, solo, small-scale, group PvP, counters, current meta, campaign behavior, and player psychology.

neetx Bundle

Collects the minimum player context needed for ESO advice. Use when planning builds, routines, farming, character growth, account strategy, guild fit, PvP, PvE, crafting, or platform-specific recommendations.

onewave-ai Skill

Build a marketing website that converts and ranks -- page inventory, copy before layout, one honest conversion path, real SEO and OG metadata, forms that actually deliver. Use for landing pages, company sites, product sites, and portfolios, as opposed to apps with accounts and data.

timbogp Bundle

This skill should be used when the user wants to set up measurement or judge whether they've built something people want — "how do I measure product/market fit?", "set up my metrics / conversion funnel / cohorts", "am I at product/market fit?", "run the Sean Ellis test", "what should my key metric be?", "track retention/activation", "which engine of growth?", or validating the customer lifecycle (acquisition → activation → retention → revenue → referral). It defines the value metrics, reads funnels and cohorts honestly, and applies the fit benchmarks. Writes to .lean/metrics/. Use for the "verify quantitatively" stage. For designing a single experiment, use run-experiment.

ssurmic Bundle

Daily batch-mode macro pullback / warning radar. Checks valuation extremes (NDX/QQQ Forward PE), volatility (VIX/MOVE), sentiment (CNN F&G, AAII), credit spreads (HY OAS), market internals (% above 200DMA, breadth), yen carry (USD/JPY), yield curve, and 11-sector rotation. Outputs Red/Yellow/Green regime + specific positioning advice. Designed for daily 5pm ET (post-close) or 8am ET (pre-open) batch runs via /schedule. Triggers in English ("macro warning", "regime check", "is the market at peak", "should I take profits", "is it time to buy") or Chinese ("宏观警报", "市场是不是顶了", "该不该减仓", "regime 怎么样", "该入场吗").

ssurmic Skill

Daily/weekly macro risk radar. Checks VIX, MOVE, yields, USD/JPY, market breadth, CTA positioning, credit spreads. Outputs red/yellow/green regime signal with specific action thresholds. Triggers in English ("macro check", "regime read", "is the market safe", "risk on or off", "should I add now") or Chinese ("看一下宏观", "市场风险怎么样", "现在能加仓吗", "regime", "宏观扫一下").

ssurmic Skill

Computes max pain (where options expire worthless = dealer profit point), top open interest clusters as gamma walls (resistance/support), put/call ratio sentiment, dealer positioning. Identifies short-term magnetic price levels into next monthly OPEX. Triggers in English ("max pain on X", "option walls for X", "where will X go this week", "support and resistance options X", "OPEX target X") or Chinese ("X 的 max pain", "X 期权墙", "X 这周走哪里", "X 期权磁吸位", "X OPEX 目标").

vanterx Bundle

Analyze SQL Server file-level I/O latency and auto-growth events using sys.dm_io_virtual_file_stats, sys.master_files, and default trace auto-growth records. Applies 15 checks (Z1–Z15) covering data and log file latency thresholds, hot file detection, stall ratio analysis, data and log placement on the same volume, TempDB co-location with user databases, auto-growth event frequency and sizing, file growth during production hours, system drive file placement, and multi-snapshot I/O trend analysis. Use this skill whenever a DBA suspects slow I/O, queries show PAGEIOLATCH or WRITELOG waits, or a file grew unexpectedly. Trigger when pasting output from sys.dm_io_virtual_file_stats or sys.master_files.

yaojingang Bundle

Evaluate product demand from product links, product descriptions, PRDs, websites, app-store pages, white papers, sales decks, screenshots, or funding materials using the demand triangle model: lack, target object, and consumer ability. Use when asked for demand assessment, pre-investment product review, growth diagnosis, positioning validation, competitor-backed demand evidence, or a multi-format demand report. Do not use for pure market sizing, generic business-model design, UX-only review, legal/financial advice, or ad-copy ideation without demand evidence.

yaojingang Bundle

Generate evidence-aware positioning reports for personal IPs, courses, products, services, brands, or companies by combining positioning theory, course-marketing analysis, user intent, competitor research, market demand, and verifiable advantages. Use when users ask for 定位、差异化分析、优势分析、心智定位、品类定位、竞品定位研究、定位报告或再定位建议. Do not use for slogan-only copywriting, generic marketing ideas, standalone market research without a positioning recommendation, or brand knowledge-base construction.

infinite-labs-ai Bundle

Use when optimizing a site or brand to show up in AI answers, LLM citations, AI search, product recommendations, and category answers.

infinite-labs-ai Bundle

Use when reviewing a landing page, homepage, signup page, pricing page, checkout, form, onboarding screen, popup, or paywall for conversion blockers.

infinite-labs-ai Bundle

Use when turning a marketing, growth, CRO, pricing, onboarding, email, ad, or acquisition idea into a useful experiment or test plan.

infinite-labs-ai Bundle

Use when choosing or sharpening positioning for a product, feature, service, or startup, including differentiation, category, ICP, value proposition, and competitive angle.

infinite-labs-ai Bundle

Use when finding or planning partner, referral, affiliate, creator, community, co-marketing, integration, marketplace, newsletter, podcast, or earned distribution channels.

infinite-labs-ai Bundle

Use when planning SEO pages, content clusters, site architecture, comparison pages, programmatic pages, or search-driven acquisition.

infinite-labs-ai Bundle

Use when planning ad creative, social posts, launch videos, product demos, thumbnails, images, carousels, UGC concepts, creator briefs, or campaign assets.

infinite-labs-ai Bundle

Use when planning a product launch, feature release, waitlist, beta, public announcement, relaunch, Product Hunt-style push, repeated feature launch system, launch-week checklist, or multi-channel GTM rollout.

infinite-labs-ai Bundle

Use when turning a product, feature, client, or rough idea into a practical marketing brief: audience, problem, promise, proof, channels, risks, and next actions.

infinite-labs-ai Bundle

Use when writing or rewriting longform X/Twitter articles, X Articles, founder essays, launch essays, growth teardowns, product breakdowns, build-in-public stories, or sharp startup takes that need X-native hooks, tone, pacing, and structure. Use for X Articles and long posts, not blog SEO posts, lifecycle emails, or landing page copy.

infinite-labs-ai Bundle

Use when improving ecommerce product pages, collection pages, carts, checkout, subscriptions, app store listings, screenshots, reviews, or mobile conversion surfaces.

infinite-labs-ai Bundle

Use when auditing, planning, or debugging marketing measurement, conversion tracking, GA4, GTM, UTMs, pixels, CRM attribution, funnel reporting, or dashboard trust.

amirjahfar1 Skill

Paid-search competitive landscape for a domain or keyword. Reconstructs the paid footprint keyword-by-keyword from live SERP ad blocks — advertisers, ad copy patterns, who else bids on the same keywords, CPC/competition signals, SERP shopping/ad-pack visibility — and produces a competitive ads brief plus a recommended bid-keyword shortlist. Use when the user asks "paid search analysis", "competitor ads", "PPC competitive", "ad copy intelligence", "shopping pack", "who bids on this keyword", or "paid keyword footprint".

amirjahfar1 Bundle

DataForSEO API integration architect for developers. Covers the entire DataForSEO surface — DataForSEO Labs (ranked keywords, keyword ideas/suggestions/related, domain rank overview, competitors, domain/page intersection, subdomains, relevant pages, bulk keyword difficulty, bulk traffic estimation, search intent, historical rank/keyword/SERP data, top searches), SERP (Google + YouTube organic live advanced), Keywords Data (Google Ads search volume, Google Trends, DFS Trends), Backlinks (summary, backlinks, anchors, referring domains/networks, competitors, intersections, bulk metrics, time series), On-Page (instant pages, Lighthouse, content parsing), AI Optimization (LLM mention metrics, ChatGPT scraper, live LLM response, AI keyword data), and Merchant/Business data. For any "how do I…" question about endpoints, parameters, JSON bodies, per-call cost, rate limits, or authentication. Produces ready-to-paste cURL / Python / TypeScript / MCP-tool-call recipes against `https://api.dataforseo.com/v3/*` (HTTP Basi

amirjahfar1 Skill

URL-level Generative Engine Optimization (GEO) analysis. For a specific URL, pulls AI Overview citation data scoped to the URL's primary keywords, identifies which AIO queries cite the URL vs which don't but should, and recommends page-level changes that improve LLM citability. Distinct from `seo-ai-search-share-of-voice` (domain-level, brand vs brand) — this is one URL, deeper. Use when the user asks "GEO for this page", "AIO citation analysis", "AI search readiness for URL", "why isn't this page cited", or "improve LLM citations".

amirjahfar1 Bundle

Diagnose why a page is not ranking by reading the SERP backwards. Identifies the page type Google rewards for the target keyword, scores the candidate page against that pattern from multiple persona perspectives, and recommends the page format that would win the SERP. Use when the user asks "why isn't this page ranking", "page type mismatch", "SXO", "search experience optimization", "intent mismatch", or wants a wireframe.

amirjahfar1 Skill

URL-level SEO intelligence — which keywords this page ranks for, traffic captured, position history, SERP context, and AI Search citation status. Produces a keep / refresh / consolidate / kill verdict for one page. Distinct from `seo-technical-audit` (which checks technical health, not keyword/traffic performance) and from `seo-content-brief` (which produces a NEW article from a topic). Use when the user asks "analyze this page", "page SEO performance", "what does this URL rank for", "page traffic", "should I refresh this page", or provides a single URL for analysis.

amirjahfar1 Bundle

Capture an SEO baseline snapshot for a domain or URL, then on later runs compare the current state and surface regressions. Tracks authority, traffic, keywords, backlinks, and on-page content. Three subcommands — `baseline`, `compare`, `history`. Use when the user asks for "SEO drift", "baseline this site", "did anything break", "SEO regression check", "compare before and after", "deployment check", or "monthly SEO snapshot".

amirjahfar1 Bundle

Local SEO audit for brick-and-mortar, service-area, and multi-location businesses. Covers Google Business Profile signals on the website, NAP consistency across page and schema, local-pack rank tracking, citation samples on Tier-1 directories, and reviews on Google / Yelp / Trustpilot. Distinct from `seo-page` (URL-level keywords, no local layer) and from `seo-schema` (which generates LocalBusiness markup — this skill defers to it). Use when the user asks "local SEO", "GBP", "Google Business Profile", "NAP", "local pack", "citations", "near me", "service area", or "multi-location SEO".

amirjahfar1 Bundle

Direct access to Google's own SEO data via Search Console (Search Analytics, URL Inspection, Sitemaps), PageSpeed Insights v5, CrUX field data with 25-week history, Indexing API v3, GA4 organic traffic, YouTube video search, Google NLP entity/sentiment analysis, Knowledge Graph entity verification, Web Risk safety, and Google Ads Keyword Planner. Bridges crawl-based analysis (the rest of this catalogue) with Google's real-time field data — actual Chrome user metrics, real indexation status, real search performance, real organic traffic. Use when the user asks "search console", "GSC", "PageSpeed", "CrUX", "field data", "indexing API", "GA4 organic", "URL inspection", "google api setup", "real CWV data", "impressions", "clicks", "CTR", "position data", "LCP", "INP", "CLS", "FCP", "TTFB", "Lighthouse scores", "youtube SEO", "knowledge graph", "keyword planner", or "real google data".

amirjahfar1 Bundle

Image SEO audit for a URL or domain. Pulls raw image inventory via Firecrawl, then audits alt-text quality, modern-format coverage (WebP / AVIF), responsive sizing (`srcset` / `sizes`), lazy-loading and LCP signals (`loading`, `fetchpriority`, `decoding`), CLS-safe dimensions, descriptive file names, and `ImageObject` JSON-LD. Optional PageSpeed Insights cross-reference for real byte-saving estimates. Produces a prioritised remediation list plus paste-ready `<picture>` markup and `ImageObject` schema. Distinct from `seo-technical-audit` (which surfaces audit-flagged image issues at the site level) and from `seo-schema` (which generates page-level JSON-LD but not image-specific markup). Use when the user asks for "image SEO", "image audit", "alt-text audit", "WebP coverage", "AVIF", "responsive images", "lazy loading", "CLS images", "image schema", "ImageObject", "image rich results", "licensable images", or "optimise images".

amirjahfar1 Bundle

Detect existing JSON-LD structured data on a page, validate against Google's rich-result requirements, and generate missing schema markup (Article, Product, LocalBusiness, FAQPage, BreadcrumbList). Produces paste-ready `<script type="application/ld+json">` blocks. Use when the user asks for "schema markup", "structured data", "JSON-LD", "rich results", "schema validation", or "fix the schema on this page".

amirjahfar1 Skill

Pull a domain's XML sitemap (and sitemap-of-sitemaps), then compare against what's actually crawled/indexed (GSC indexed pages + a DataForSEO On-Page fetch loop + GSC sitemap ingestion). Surfaces (a) sitemap entries the crawler couldn't find (orphans from the sitemap), (b) crawled/indexed pages missing from the sitemap (probably an oversight), (c) sitemap entries that are now 404, (d) lastmod inconsistencies. Use when the user asks for "sitemap analysis", "check my sitemap", "sitemap vs audit", "missing pages", "orphan pages", or "sitemap health".

amirjahfar1 Bundle

Hreflang and international SEO audit for multi-language and multi-region sites. Validates language-region codes, return tags, x-default, canonical alignment, and conflict detection across the per-URL HTML (DataForSEO On-Page + Firecrawl/WebFetch) and the XML sitemap. Use when the user asks "hreflang", "international SEO", "i18n", "language targeting", "x-default", "regional sites", or "multi-language SEO".

amirjahfar1 Bundle

Ad-hoc web scraping, site mapping, and full-site crawling via Firecrawl MCP. Returns raw HTML, parsed metadata (og:*, twitter:*, JSON-LD, canonical, robots), JS-rendered DOM, and screenshots that WebFetch cannot. Distinct from the DataForSEO skills (which give keyword/traffic/SERP data) and from WebFetch (which gives markdown prose only). Use when the user says "scrape this page", "crawl this site", "map this site", "find all pages on", "get the OG tags", "get the JSON-LD", "render this JS-heavy page", or any task where raw `<head>` metadata, structured-data scripts, or post-JS DOM are the actual deliverable. Also invoked as a sub-step from other skills that need raw HTML.