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Found 129 Skills
Marketing analytics specialist covering tracking setup, dashboards, reporting, attribution modeling, A/B testing and experiment design, conversion optimization, and data-driven decision making. Use when the user wants to set up analytics tracking, create dashboards, build reports, implement conversion tracking, design or set up A/B tests, calculate sample sizes, write test hypotheses, analyze campaign performance, set up attribution models, audit existing analytics, or make data-driven marketing decisions. Also triggers for GA4, Google Tag Manager, UTM parameters, conversion rates, marketing ROI, funnel analysis, cohort analysis, sample size calculation, ICE scoring, experiment roadmap, or any marketing measurement question.
Search and fetch photos from Unsplash with proper attribution. Use when users need images for content, want photos by keyword, need random images for variety, or ask for stock photos. Automatically provides attribution required by Unsplash guidelines.
Analyze marketing performance. Use when: KPI frameworks, attribution modeling, anomaly investigation, measurement strategy.
Rank outreach campaigns by real revenue impact — which campaigns actually generated deals, pipeline, or meetings — by cross-referencing the user's La Growth Machine campaign data with their CRM deal data (HubSpot today). Use whenever the user wants to know which campaigns drove pipeline, compare campaign ROI, see which campaigns to continue / stop / adapt, audit campaign impact, review attribution, asks 'which of my campaigns is actually working', or wants a campaign performance ranking by deals or revenue. Triggers on: 'which campaigns drove pipeline', 'rank my campaigns by deals', 'campaign ROI', 'campaign impact', 'which campaigns to stop', 'which to scale', 'attribution review', 'pipeline by campaign'. Pulls live data from the La Growth Machine MCP and the HubSpot MCP when connected; works from pasted exports otherwise. For RevOps, Heads of Sales/Marketing, founders and growth leads doing campaign performance reviews. Maintained by La Growth Machine.
When the user wants to turn content into revenue, build a content-led GTM motion, reverse engineer distribution, or repurpose content across platforms. Also use when the user mentions 'content marketing,' 'content-led growth,' 'content to pipeline,' 'distribution,' 'content repurposing,' 'content strategy,' 'thought leadership,' 'newsletter,' 'content flywheel,' 'organic growth.' This skill covers content-to-revenue systems from creation through pipeline attribution.
Input the original caption, creator handle, and brand voice and receive 3 ready-to-post captions for reposting creator content to your brand's social channels with proper credit and attribution. This skill should be used when writing a repost caption for a creator's content, drafting captions to reshare UGC on your brand account, creating branded captions for reposting influencer content, writing credit captions for sharing creator videos on your brand feed, adapting a creator's post for your brand's Instagram or TikTok, generating repost captions with proper creator attribution, repurposing creator content captions for brand channels, or writing share captions for UGC reposts. For generating ad copy from creator content, see paid-ad-copy-adapter. For writing a paid social brief from whitelisted posts, see paid-social-creative-brief-from-creator-content. For building content briefs before production, see creator-content-concept-generator.
When the user wants to set up, interpret, or improve their app analytics and tracking. Also use when the user mentions "analytics", "tracking", "metrics", "KPIs", "App Store Connect analytics", "install tracking", "funnel", "attribution", or "how is my app performing". For A/B testing, see ab-test-store-listing. For retention metrics, see retention-optimization.
How to read paid media dashboards without fooling yourself. Attribution models, platform reporting quirks, multi-platform reconciliation, ROAS vs LTV horizon traps, statistical noise in performance metrics, incrementality testing, and the failure modes that produce expensive lessons. Triggers on read paid media dashboard, attribution analysis, ROAS vs LTV, multi-platform reconciliation, ad incrementality, geo holdout, conversion lift study, ghost bidding, paid media reporting, board-deck paid media metrics, blended CAC, MMM, MTA, last-click attribution. Also triggers when a marketer is about to scale, kill, or rebudget a campaign based on platform metrics, or when reconciling platform reports against warehouse revenue.
Accelerate adoption of DataFast analytics across any stack by codifying the installation, attribution, event, proxy, and API patterns that drive reliable conversion intelligence
Brain knowledge base operations. The core read/write cycle: brain-first lookup, read-enrich-write loop, source attribution, ambient enrichment, back-linking. Read this before any brain interaction.
Regulator-grade feature attribution for any LSTM/Transformer signal — single-entry PageRank ranks the top-K features that drove the prediction (ADR-126 Phase 6, ADR-123 single-entry PR)
When the user wants to analyze website traffic sources, attribution, or dark traffic. Also use when the user mentions "traffic sources," "dark traffic," "direct traffic," "UTM parameters," "traffic attribution," "channel attribution," "attribution optimization," "channel analysis," "traffic analysis," "traffic diversification," "natural traffic benchmark," or "organic vs paid traffic."