Marketing & Growth

solnest-ai Bundle

Comprehensive SEO analysis for any website or business type. Full site audits, single-page analysis, technical SEO (crawlability, indexability, Core Web Vitals with INP), schema markup, content quality (E-E-A-T), image optimization, sitemap analysis, and GEO for AI Overviews/ChatGPT/Perplexity. Industry detection for SaaS, e-commerce, local, publishers, agencies. Triggers on: SEO, audit, schema, Core Web Vitals, sitemap, E-E-A-T, AI Overviews, GEO, technical SEO, content quality, page speed.

solnest-ai Skill

Solnest AI visibility audit. Answers one question: can ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews find, read, and cite this site? Scores AI readiness 0-100, verifies AI crawler access at the edge (not just robots.txt), checks brand entity consistency across the site's own machine surfaces, and separates what the evidence supports from what the AEO industry is selling. Use when the user says "AEO", "GEO", "AI visibility", "AI search", "get cited by ChatGPT", "why doesn't AI recommend us", "LLM SEO", or asks about llms.txt.

solnest-ai Bundle

Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. Generative Engine Optimization (GEO) analysis including brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization. Use when user says "AI Overviews", "SGE", "GEO", "AI search", "LLM optimization", "Perplexity", "AI citations", "ChatGPT search", or "AI visibility".

solnest-ai Bundle

Search Experience Optimization: reads Google SERPs backwards to detect page-type mismatches, derives user stories from search intent signals, and scores pages from multiple persona perspectives. Identifies why well-optimized pages fail to rank by analyzing what Google rewards for each keyword. Use when user says "SXO", "search experience", "page type mismatch", "SERP analysis", "user story", "persona scoring", "why isn't my page ranking", "intent mismatch", or "wireframe".

solnest-ai Bundle

FLOW framework integration: evidence-led SEO using the Find → Leverage → Optimize → Win loop. Surfaces stage-specific AI prompts from the FLOW knowledge base (41 prompts, CC BY 4.0). Use when user says "FLOW", "FLOW framework", "seo flow", "evidence-led SEO", "find leverage optimize win", or wants stage-specific SEO prompts.

solnest-ai Bundle

Full website SEO audit with parallel subagent delegation. Crawls up to 500 pages, detects business type, delegates to up to 15 specialists (8 always + 7 conditional), generates health score. Use when user says audit, full SEO check, analyze my site, or website health check.

solnest-ai Bundle

SEO drift monitoring: capture baselines of SEO-critical elements, detect changes, and track regressions over time. Git for SEO: baseline, diff, and track changes to your on-page SEO. Use when user says "SEO drift", "baseline", "track changes", "did anything break", "SEO regression", "compare SEO", "before and after", "monitor SEO changes", or "deployment check".

solnest-ai Bundle

Google SEO APIs: Search Console (Search Analytics, URL Inspection, Sitemaps), PageSpeed Insights v5, CrUX field data with 25-week history, Indexing API v3, and GA4 organic traffic. Provides real Google field data for Core Web Vitals, indexation status, search performance, and organic traffic trends. Use when user says "search console", "GSC", "PageSpeed", "CrUX", "field data", "indexing API", "GA4 organic", "URL inspection", or "real CWV data".

solnest-ai Bundle

Image optimization analysis for SEO and performance. Checks alt text, file sizes, formats, responsive images, lazy loading, CLS prevention, image SERP rankings (via DataForSEO), and image file optimization (WebP/AVIF conversion, IPTC/XMP metadata injection). Use when user says "image optimization", "alt text", "image SEO", "image size", "image audit", "optimize images", "image metadata", "image SERP", "convert to webp", or "image file optimize".

solnest-ai Bundle

Detect, validate, and generate Schema.org structured data. JSON-LD format preferred. Use when user says "schema", "structured data", "rich results", "JSON-LD", or "markup".

solnest-ai Bundle

SERP-based semantic topic clustering for content architecture planning. Groups keywords by actual Google SERP overlap (not text similarity), designs hub-and-spoke content clusters with internal link matrices, and generates interactive visualizations. Optionally executes content creation if claude-blog is installed. Use when user says "topic cluster", "content cluster", "semantic clustering", "pillar page", "hub and spoke", "content architecture", "keyword grouping", or "cluster plan".

solnest-ai Bundle

Analyze existing XML sitemaps or generate new ones with industry templates. Validates format, URLs, and structure. Use when user says "sitemap", "generate sitemap", "sitemap issues", or "XML sitemap".

solnest-ai Bundle

Backlink profile analysis: referring domains, anchor text distribution, toxic link detection, competitor gap analysis. Works with free APIs (Moz, Bing Webmaster, Common Crawl) and DataForSEO extension. Use when user says backlinks, link profile, referring domains, anchor text, toxic links, link gap, link building, disavow, or backlink audit.

solnest-ai Bundle

E-commerce SEO analysis: Google Shopping visibility, Amazon marketplace intelligence, product schema validation, competitor pricing analysis, and marketplace keyword gaps. Combines on-page product SEO with marketplace data from DataForSEO Merchant API. Use when user says "ecommerce SEO", "product SEO", "Google Shopping", "marketplace SEO", "product schema", "Amazon SEO", "product listings", "shopping ads", or "merchant SEO".

solnest-ai Bundle

Technical SEO audit across 9 categories: crawlability, indexability, security, URL structure, mobile, Core Web Vitals, structured data, JavaScript rendering, and IndexNow protocol. Use when user says "technical SEO", "crawl issues", "robots.txt", "Core Web Vitals", "site speed", or "security headers".

solnest-ai Bundle

Live SEO data via DataForSEO MCP server: SERP analysis, keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis, competitor and content analysis, business listings, AI visibility (LLM mention tracking), and domain analytics. Requires DataForSEO extension installed. Use when user says "dataforseo", "live SERP", "keyword volume", "backlink data", "AI visibility check", or "real search data".

solnest-ai Skill

Ahrefs API analyst (extension). Reads referring domains, backlinks, organic keywords, and content explorer data via the tested @ahrefs/mcp@0.0.11 server. Pairs with seo-backlinks for multi-source confidence weighting.

solnest-ai Skill

Bing Webmaster Tools + IndexNow extension. Microsoft Copilot citations are fed by the Bing index; this skill makes Bing visibility, link data, and IndexNow URL submission first-class.

solnest-ai Skill

SE Ranking AI visibility analyst (extension). Tracks AI Share-of-Voice across ChatGPT, Gemini, Perplexity, AI Overviews, and AI Mode in a single query.

cfregly Skill

Search a bounded inference serving configuration matrix, compare every cell with a named baseline, and select a throughput or latency champion. Uses the checked-in campaign, evidence, baseline, aggregation, and report tools. Use when asked to tune batching, concurrency, KV cache, CUDA graph, or related serving settings for an existing deployment.

cfregly Skill

Render the leadership value-prop ledger for the inference effort: the deployable wins vs the FlashInfer-TRTLLM + best-tuned-vLLM 0.21/0.22 baseline, grouped DONE / IN-PROGRESS / NOT-DONE / CLOSED-NEGATIVE, each row data-backed by a perf-lake campaign (live sol_rigor + verdict tier), plus the ranked GRIND FRONTIER of next levers (the always-be-grinding performance ratchet). Joins the curated perf-tune-report/configs/value-findings.yaml registry with the live campaigns via `perftunereport value_view`. Flags any finding whose backing campaign is missing or ungrounded. Use when you need to show value / report to leadership / answer "what have we uncovered that we can deploy, revalidate, or pursue". Triggers on "value ledger", "value prop", "show value", "show the value prop", "leadership view", "what wins do we have", "vs flashinfer", "value-findings", "what can we deploy", or any combination of "value / wins / findings / leadership / report" with "inference / vllm / flashinfer / perf".

cfregly Skill

Coordinate an evidence-backed inference model optimization run from a user-supplied deployment or campaign configuration. Establishes readiness and a production-shaped baseline, profiles measured bottlenecks, runs a bounded tune sweep, checks quality, selects a champion, and renders a report. Use for a full model optimization pass. It does not scaffold an external deployment repository or depend on private helper scripts.

cfregly Skill

Build a multi-page benchmark report PDF (scatter panels + per-concurrency heatmap tables) from `vllm bench sweep serve_workload` and/or AIPerf outputs, in the GLM-5.1 reference layout (5x2 scatter facet by max_num_batched_tokens + 3x2 heatmap tables for C={8,16,32} x {tok/s/GPU, TTFT}. First-class failed/partial cells). Also renders the cross-engine (vLLM + SGLang) CHAMPION page 8: baseline vs top-X variants + the overlaid roofline + a RECOMMENDED-FOR-PRODUCTION pick via `champion_select`. Backed by the `perf_tune_report` CLI library. Triggers on "build a perf report", "render the atlas PDF", "perf-report campaign", "glm5p1-style report", "pareto report", "perftunereport smoke", "champion selection", "which variant to ship", "production champion", "baseline vs top variants", or any combination of "perf / atlas / report / champion" with "inference / vllm / sglang / aiperf / b200 / gb300 / nvfp4 / fp8".

alemtuzlak Bundle

Use when the user wants to write a blog post about a feature, product change, PR, git diff, or any technical topic - accepts marketing briefs, PRs, git refs, codebase paths, or freeform descriptions as input

alemtuzlak Bundle

Use when the user invokes /i-have-adhd, says they have ADHD, or asks for ADHD-friendly output. Also used as a required writing filter by the docs skill. Don't use for marketing copy or after the user says "stop adhd mode" or "normal mode".

alemtuzlak Skill

Use when the user wants YouTube metadata for a video — a click-worthy title, an SEO/above-the-fold description, tags, and timestamped chapters. Accepts a transcript (ideally timestamped SRT), a topic, a PR, or a freeform description. Used standalone and by /produce-video. Triggers on "youtube title", "youtube description", "youtube chapters", "youtube tags", "youtube metadata", "youtube-copy".

alemtuzlak Bundle

Use when the user wants to generate a marketing brief from a GitHub PR, git ref comparison, codebase feature, or freeform description of a feature or product change

alemtuzlak Bundle

Use when the user wants to run multiple marketing skills together (brief, blog post, social copy, changelog, newsletter, video script) from a single input, or when they mention "marketing pipeline", "full marketing", or "launch content"

mia-cx Skill

Use when the user asks for a scroll-driven, spatial, animated, procedural, or WebGPU experience, a hero or landing page that feels alive, or asks to make a marketing page use the web as a medium. Micro-interactions belong to transitions-dev. Stage 5 of ui-design.

verasuperhub Bundle

Runs the CFA pipeline: collect indicator structure, check basic identification and estimator requirements, fit a primary CFA model, and report fit indices plus standardized loadings with a recommendation block for full SEM analysis. Trigger when the user asks for CFA, confirmatory factor analysis, measurement model testing, latent factor validation, factor loading assessment, construct validity, scale validation, measurement invariance check, or psychometric evaluation. Does not cover full structural path modeling (use vera-data-path-reviewing) or longitudinal change modeling (use vera-data-growth-reviewing).

verasuperhub Bundle

Structural equation modeling skill. Collects latent constructs and path structure, checks identification and estimator requirements, fits one primary SEM, and reports global fit plus key structural paths with a recommendation block for advanced analyses. Trigger when the user asks for SEM, latent path analysis, full structural equation modeling, path coefficients, structural paths, mediation model, latent variable model, causal SEM, direct and indirect effects, or path diagram. Does not handle CFA-only models (use vera-data-cfa-reviewing) or longitudinal growth models (use vera-data-growth-reviewing).

verasuperhub Bundle

Longitudinal SEM skill for latent growth and change. Collects wave structure, checks whether a growth/change model is identified, fits an initial linear growth or latent change specification, and reports fit plus trajectory parameters with a recommendation block. Trigger when the user asks for latent growth models, growth curves in SEM, latent change score models, longitudinal latent trajectories, growth curve modeling, LGM, LCSM, trajectory analysis, or change over time in SEM. Does not handle cross- sectional CFA (use vera-data-cfa-reviewing) or non-longitudinal structural models (use vera-data-path-reviewing).

verasuperhub Bundle

Full longitudinal SEM skill for latent growth and change models. Extends the initial fit with nonlinear trajectories, latent-basis and change-score variants, subgroup comparisons, parallel-process models when available, and manuscript-ready output. Trigger after vera-data-growth-reviewing completes and its PART 0–2 artifacts are present (see ../../CROSS-SKILL-INTERFACE.md). If invoked directly without those artifacts, halts and prompts the user to run testing first or supply equivalent PART 0–2 code.

verasuperhub Bundle

Complete skill family for longitudinal SEM focused on latent growth and change. Use when the user asks for latent growth models, latent change score models, nonlinear change, repeated latent trajectories, or longitudinal SEM in general. Uses a two-step structure: testing for initial diagnostics, analyzing for full pipeline.

verasuperhub Bundle

Trajectory diagnostics and primary hypothesis tests for repeated measures / longitudinal designs with a continuous outcome. Produces spaghetti plots with group mean ribbons, ICC, descriptives per time point, attrition check, and one interpreted test: paired t-test for 2 time points, repeated measures ANOVA for 3+ time points in one group, or mixed ANOVA (time x group) for 3+ time points with 2+ groups, including Mauchly sphericity and Greenhouse-Geisser correction. Ends with a recommendation block. Outputs .R and .py scripts with publication-quality plots. Trigger when user has a continuous outcome measured on the same subjects over time and says "repeated measures," "longitudinal," "within-subjects," "pre-post," "paired," "panel data," "growth curve," "multilevel," "mixed model," or "correlated observations." Does not handle binary, count, survival, ordinal, or cross-sectional outcomes.

verasuperhub Bundle

Server-side extension that completes the full analysis pipeline for repeated measures / longitudinal designs with a continuous outcome after vera-data- repeated-reviewing has run. Adds pairwise comparisons at each time point and within each group, simple effects analysis, subgroup three-way interactions, linear mixed models (random intercept, random slope, growth curve), GEE with multiple correlation structures, tree-based exploratory analysis on subject- level features, and model comparison with unified variable importance (0-100). Generates manuscript-ready methods.md and results.md with formatted tables, publication-quality figures, and references.bib. Applies output variation and code style variation for natural, non-repetitive output. Triggered after vera- data-repeated-reviewing completes and its PART 0–2 artifacts are present (see ../../CROSS-SKILL-INTERFACE.md).