Claude Skills by thedixitjain

When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' 'consumer behavior,' 'anchoring,' 'social proof,' 'scarcity,' 'loss aversion,' 'framing,' or 'nudge.' Use this whenever someone wants to understand or leverage how people think and make decisions in a marketing context. For applying psyc...

Apply behavioral science and mental models to marketing decisions, prioritized using a psychological leverage and feasibility scoring system.

Generate a comprehensive, professionally formatted marketing report in Markdown. This skill compiles data from all previous audit and analysis results into a single, client-ready document with scores, findings, recommendations, and a prioritized action plan with revenue impact estimates.

Use when targeting Marketing Science or deciding whether a quantitative-marketing manuscript fits this venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.

Directory and router for the marketing skills library. Use when you need to find the right marketing skill for a task, see what marketing capabilities exist, or get oriented in this plugin. 44 specialist skills across 8 pods (content, SEO + AEO, CRO, channels, growth, intelligence, sales enablement, ops), 59 stdlib Python tools. Routes to one skill — it does not execute marketing work itself.

Product marketing skill for positioning, GTM strategy, competitive intelligence, and product launches. Use when the user asks about product positioning, go-to-market planning, competitive analysis, target audience definition, ICP definition, market research, launch plans, or sales enablement. Covers April Dunford positioning, ICP definition, competitive battlecards, launch playbooks, and international market entry. Produces deliverables including positioning statements, battlecard documents, ...

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Create a paid media plan. Use when: building media buy schedules, cross-channel budget allocation, or creative rotation calendars.

127 production skills across 10 categories (Security, Deployment, Dev, Business, Content, SEO, Marketing, Product, Automation, Core). Skills auto-load based on your task. Includes localhost dashboard with Agent Runner, Burn Report, and session diary.

Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.

Use when positioning a Management Science (INFORMS) manuscript in its literature — joining the right Department's conversation, citing canonical analytical and empirical work in author-year style, and making the cross-department contribution legible so a Department Editor sees both fit and novelty. It positions; it does not state the contribution sentences (mgsci-contribution-framing).

Use when positioning a Mind article against the existing philosophical literature so the thesis reads as a genuine move in a live debate. Mind readers are expert across analytic philosophy, so the paper must engage the canonical and current statements of the view it targets, not a strawman. Stakes the contribution; it does not write the literature section for you.

Use when positioning a MIS Quarterly manuscript inside the right information-systems conversation — engaging canonical IS work, showing the IT artifact is central, and distinguishing the paper from adjacent IS venues (ISR, JMIS, JAIS) and from the parent reference disciplines (management, economics, computer science).

Use when stating the headline contribution of a Marketing Science manuscript — naming the primary dimension (substantive marketing insight, modeling, methodology, data, or practice) and writing the contribution and managerial-implication paragraphs. Frames the contribution; it does not build the model (mksc-theory-development) or run the analysis (mksc-data-analysis).

Use when estimating and validating the model for a Marketing Science manuscript — running structural estimation (GMM/MLE/SMM/Bayes), checking identification empirically, assessing model fit, computing counterfactuals, and preparing the replication package. Executes the analysis; it does not design the model (mksc-theory-development) or choose the genre (mksc-methods).

Use when positioning a Marketing Science manuscript in its literature — locating the contribution among structural and analytical modeling precedents and the relevant substantive stream (pricing, advertising/digital, channels/retail, branding, platforms, analytics), and disclosing self-overlap. Positions the paper; it does not state the headline contribution (mksc-contribution-framing).

Use when the empirical/analytical approach is the bottleneck for a Marketing Science manuscript — choosing among structural econometrics, analytical modeling, and model-disciplined causal/ML methods, and making the model estimable and identified. Designs the approach; it does not execute the estimation and counterfactuals (mksc-data-analysis).

Use when drafting the revision and response letter after a Marketing Science revise-and-resubmit — structuring point-by-point responses to the Senior/Associate Editor and reviewers across a multi-round process, especially on assumptions, identification, counterfactuals, computation, and replication. Drafts the response after revising; it does not interpret the decision (mksc-review-process).

Use when understanding how Marketing Science evaluates a manuscript — the double-anonymous Senior-Editor / Associate-Editor routing, what the first-pass and review look for, and how to read a decision letter. Explains the process; it does not draft the revision response (mksc-rebuttal).

Use when preparing to submit a Marketing Science manuscript through ScholarOne — blinding for double-anonymous review, choosing the track (regular / Frontiers / Database / Practice), assembling the replication package, the cover letter, preferred AEs/reviewers, and the optional Open Option. Preflight only; it does not interpret decisions (mksc-review-process).

Use when building the exhibits for a Marketing Science manuscript — estimate tables, model-fit tables, comparative-statics figures, and counterfactual/policy-simulation exhibits in INFORMS house style. Designs the exhibits; it does not run the estimation (mksc-data-analysis) or write the prose (mksc-writing-style).

Use when building the formal model for a Marketing Science manuscript — turning a marketing phenomenon into an analytical (game-theoretic) model or a structural econometric model with a clear identification argument. Develops the model and mechanism; it does not run the estimation (mksc-data-analysis) or pick the empirical genre at a high level (mksc-methods).

Use when choosing or sharpening the research question for a Marketing Science manuscript — testing whether a marketing problem is important AND admits a formal model (structural or analytical), and whether Marketing Science (not JCR/JMR/Management Science) is the right venue.

Use when deciding which mksc-* sub-skill to invoke next, or when sequencing a Marketing Science manuscript from modeling-driven topic selection through R&R rebuttal. Routes — it does not replace — the specialized skills.

Use when planning a MobiCom campaign across the rolling two-deadlines-per-year calendar — deciding which round to target and which edition it feeds, building a backward schedule that leaves room for over-the-air experiments, and sequencing the two-round review, rebuttal, and one-shot revision so a slip does not silently cost an edition.

Use when positioning a MobiSys submission against the mobile-systems literature — offload, on-device ML, mobile OS and runtimes, sensing services, and energy — covering the right lanes, handling concurrent work, verifying that cited \"MobiSys papers\" are MobiSys rather than MobiCom/SenSys/OSDI, and self-citing without breaking double-blind.

Use when positioning a Manufacturing & Service Operations Management (M&SOM) manuscript within the operations-management literature — engaging the canonical OM streams (inventory, queueing, supply-chain contracting, revenue management, service operations, empirical OM), selecting the target editorial Department, and stating the operational conversation the paper joins.

Generate a cohesive brand visual kit — logo concept, color palette moodboard, and typography pairing suggestions.

Create a polished, on-brand Instagram post — square or portrait hero image with matching caption and hashtags.

Generate a full multi-channel product campaign — hero visuals, social media assets, short ad video, and platform-specific crops for an end-to-end launch campaign.

Re-render a hero image into Instagram, TikTok, YouTube-shorts and Twitter/X aspect ratios.

Create a User-Generated Content (UGC) video ad by combining a human selfie and a product image, then generating a video script and an animated ad.

Auto-generate viral 9:16 YouTube Shorts (or TikTok / Reels clips) from a long-form video. Thin platform-aware wrapper around the AI Clipping skill — picks sensible defaults for short-form social platforms (9:16, 30–60s sweet spot) and delegates the actual highlight extraction + crop to muapi.ai's `/ai-clipping` endpoint.

Score localized content quality. Use when: checking translation accuracy, cultural adaptation, or voice preservation.

Use when building the related-work and positioning story for a NAACL submission — covering the ACL Anthology lineages reviewers expect, citing Findings, workshop, and regional venues correctly, handling resubmission histories and concurrent preprints under ARR rules, and stating the delta in one falsifiable sentence.

Use to judge whether a manuscript fits 《南开管理评论》 (Nankai Business Review) before investing in revision, and to re-route off-fit papers — math models to 管理科学学报, macro policy-evaluation to 管理世界 / 中国工业经济, capital-market governance to 会计研究 / 金融研究. Use when the topic, method, or framing might be a mismatch for a theory-building management journal.

Use for survey-based structural equation modeling in 《南开管理评论》 (Nankai Business Review) — CFA/SEM fit indices, mediation and moderation, moderated mediation with bootstrap indirect effects and the index of moderated mediation, and multilevel models (HLM) for nested data. Use when testing construct-relationship hypotheses (mediation / moderation / moderated mediation) on questionnaire data.

Use when positioning a NeurIPS submission against current-cycle ML literature, contemporaneous work, preprints, neighboring conferences, and the exact technical delta from prior methods.

Use when situating a New Media & Society (NM&S) manuscript in the right interdisciplinary conversation and naming the specific gap or rival account it advances. Builds the positioning; it does not build the theory or design.

Fix SEO indexing issues, crawl budget problems, and Search Console coverage errors for Next.js apps. Covers canonical tags, noindex audits, sitemap health, static rendering, and internal linking.

Bind loop 'done' to unfakeable gates. Use to harden egregore/herald loops or promote completion_integrity. Not for QA gates; use night-market-validation-and-qa.

Define a North Star Metric and 3-5 supporting input metrics that form a metrics constellation. Classify the business game (Attention, Transaction, Productivity) and validate against 7 criteria for an effective North Star. Use when choosing a North Star Metric, setting up a metrics framework, learning about the North Star Framework, or deciding what to measure.

Use when positioning an NSDI submission against the networked-systems literature — covering the NSDI/SIGCOMM/OSDI/SOSP lanes plus both accepted-paper cohorts of the current edition, verifying venues against dblp and open-access USENIX proceedings, and handling self-citations and concurrent submissions under double-blind rules.

Expert guide for Odoo eCommerce and Website: product catalog, payment providers, shipping methods, SEO, and order-to-fulfillment workflow.

Automate ecommerce marketing workflows including contact management, bulk operations, and subscriber segmentation through Omnisend via Composio

When the user wants to optimize post-signup onboarding, user activation, first-run experience, or time-to-value. Also use when the user mentions \"onboarding flow,\" \"activation rate,\" \"user activation,\" \"first-run experience,\" \"empty states,\" \"onboarding checklist,\" \"aha moment,\" or \"new user experience.\" For signup/registration optimization, see signup-flow-cro. For ongoing email sequences, see email-sequence.

Build a complete marketing plan covering the full customer journey from stranger to raving fan. Use when the user mentions \"marketing plan\", \"marketing strategy\", \"target market\", \"USP\", \"lead nurture\", \"customer lifetime value\", \"PVP Index\", or \"I dont know where to start with marketing\". Also trigger when building a marketing plan from scratch, choosing acquisition channels, or designing end-to-end customer-lifecycle campaigns. Covers the PVP Index, channel selection, and ad...

Use when building an OOPSLA related-work section — positioning against the PACMPL family (POPL, PLDI, ICFP, OOPSLA itself) plus ECOOP, Onward!, and SE venues, citing journal-era OOPSLA papers in PACMPL volume/issue form, verifying every venue attribution on dblp, and stating per-line technical deltas.

When the user wants to market an open source project authentically. Trigger phrases include \"open source marketing,\" \"OSS marketing,\" \"GitHub marketing,\" \"promote my library,\" \"grow stars,\" \"launch open source,\" \"open source growth,\" or \"contributor marketing.\"

Go-to-market strategy planner. Generates a complete GTM plan across paid, unpaid, marketing, sales, and AI-automation channels for any project — and hands executable campaigns off to /marketing.