Claude Skills by thedixitjain

Use when positioning a Journal of Labor Economics (JOLE) manuscript against the labor literature — staking the contribution against the closest papers under Chicago author-date citation norms, not writing a standalone survey. Positions the paper; it does not run analysis.

Use when positioning a Journal of Operations Management (JOM) manuscript within the operations and supply chain management conversation — joining a live OM/SCM debate, distinguishing the paper from analytical OM work, and aligning the framing with the target Department's mission.

Use when positioning a The Journal of Politics (JOP) manuscript in the literature — staking a theoretically innovative, general-interest contribution while keeping the manuscript double-blind. JOP's page budget forces an efficient literature section, so engage the debates that matter without a survey. Frames the contribution; it does not write the paper.

Use when targeting Journal of Economic Growth or deciding whether a growth / long-run development manuscript fits this venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.

Use when targeting Journal of Marketing (JM) or deciding whether a 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.

Use when targeting Journal of the Academy of Marketing Science (JAMS) or deciding whether a 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.

Design cross-channel customer journeys. Use when: mapping touchpoints, branching logic, or stage transitions.

Use when positioning a Journal of Policy Analysis and Management (JPAM) manuscript against prior work — the policy-evaluation evidence base, the relevant economics / political-science / public-management literatures, and the policy/program record. Frames the gap and contribution; it does not design the study or write the full review.

Use when writing or repairing the introduction and related-work framing for a Journal of Political Economy (JPE) manuscript — situating the contribution in the economics literature with author-date citations. Frames positioning and the intro arc; it does not run the empirics or build the model.

Use when sharpening the policy contribution of a Journal of Public Policy & Marketing (JPP&M) manuscript — the 300-word Policy Contribution Statement, regulator-actionable implications, and the line between evidence and advocacy. Frames the contribution; it does not produce the estimates (jppm-data-analysis).

Use when estimating and stress-testing results for a Journal of Public Policy & Marketing (JPP&M) manuscript — treatment effects from experiments, DiD/RDD/synthetic-control policy evaluations, subgroup analyses for vulnerable populations, and policy-interpretable reporting. Runs the analysis; it does not choose the design (jppm-methods).

Use when situating a Journal of Public Policy & Marketing (JPP&M) manuscript against both the marketing-and-policy literature and the regulatory record, and defending the JPP&M lane against siblings. Positions the contribution; it does not build the framework (jppm-theory-development) or design studies (jppm-methods).

Use when choosing and designing the evidence for a Journal of Public Policy & Marketing (JPP&M) manuscript — experiments with policy-realistic stimuli, quasi-experimental policy evaluation (DiD, RDD, synthetic control), surveys, field data, or meta-analysis. Designs the studies; it does not estimate them (jppm-data-analysis).

Use when executing a Journal of Public Policy & Marketing (JPP&M) revise-and-resubmit — the response letter, converting reviewer demands into analyses or studies, and defending policy claims without slipping into advocacy. Drafts the rebuttal; letter-reading and feasibility calls are jppm-review-process.

Use when calibrating expectations for the Journal of Public Policy & Marketing (JPP&M) review cycle — desk-screen logic, the mixed reviewer pool, decision types, and what an R&R typically demands. Reads the process and the letter; drafting the response is jppm-rebuttal.

Use when running the final preflight for a Journal of Public Policy & Marketing (JPP&M) submission — the two-file split, double-anonymization, 50-page cap, Policy Contribution Statement, abstract/keywords, and the SageTrack portal. Final checks only; it does not draft content.

Use when building exhibits for a Journal of Public Policy & Marketing (JPP&M) manuscript — event-study and DiD displays, condition-contrast tables, subgroup forest plots, and stimuli exhibits that a policy reader can act on. Builds the exhibits; it does not produce the estimates (jppm-data-analysis).

Use when building the conceptual backbone of a Journal of Public Policy & Marketing (JPP&M) manuscript — theorizing why a policy lever changes marketplace behavior, for whom, and with what unintended effects. Builds the theory of the lever; it does not design the studies (jppm-methods).

Use when testing whether a research question is policy-first enough for the Journal of Public Policy & Marketing (JPP&M), and which of its domains and paper shapes it fits, before design and data are locked. Settles fit and outlet; it does not build the theory of the policy lever (jppm-theory-development).

Use when deciding which jppm-* sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a Journal of Public Policy & Marketing (JPP&M) submission. Routes to the specialized skills — it does not do their work.

Use when positioning a Journal of Personality and Social Psychology (JPSP) manuscript against the literatures its section's readers expect, building the long-format introduction and literature review that precede the multi-study package. Sharpens the gap and contribution; it does not write the literature review for you.

Use when positioning a Journal of Public Economics (JPubE) manuscript against the public-finance literature — locating the contribution relative to the tax, social-insurance, public-expenditure, and optimal-policy frontier without writing a standalone survey. Positions the paper; it does not frame the core contribution (use jpube-contribution-framing).

Use to judge whether a manuscript fits 《数量经济技术经济研究》 (JQTE) and to decide how to frame its contribution — measurement, forecasting, or method-application versus clean causal inference — before investing in revision. The most common save: stopping a strong measurement paper from being dressed up as a weak causal study, and routing genuinely clean-causal work elsewhere.

Use when staking a Journal of Risk and Uncertainty (JRU) manuscript's contribution against the expected-utility-and-alternatives literature. Positions the claim within risk/uncertainty scholarship; it does not invent evidence or citations.

Use when the contribution of a Journal of Urban Economics (JUE) manuscript relative to the urban-economics frontier is fuzzy or undersold. Stakes the marginal contribution against the right spatial literatures and the sibling journals; it does not design the identification or draft the prose.

'Execute Juicebox enrichment and outreach workflow. Trigger: \"juicebox enrich\", \"candidate enrichment\", \"talent pool\". '

Use to judge whether a manuscript's international / open-economy dimension genuinely holds up for 《世界经济》 (The Journal of World Economy), or whether it is really a domestic paper that should be re-routed to 金融研究 / 中国工业经济 / 经济研究. Run this first, before drafting.

Use when designing or auditing the empirical section of a KDD paper, where evidence combines quality deltas with scalability and efficiency measurements, temporal-leakage-safe splits, mechanism-isolating ablations, tuning-symmetric baselines, and, for the ADS track, post-launch measurement design that survives the desk check.

Use when positioning a KDD submission against the data-mining lineage (prior KDD volumes, ICDM, SDM, WSDM, CIKM, WWW) and the ML flagships, handling venue misattribution traps, cross-cycle resubmission overlap, concurrent arXiv work, and the mechanism-contrast style of novelty argument that ACM SIGKDD reviewers expect.

Build a content cluster plan from seed keywords — pillar+spokes architecture with internal-link map, intent grouping, and quality scorecard. Use when: planning topical authority, designing a content hub, deduping cannibalising pages, or staging a programmatic content rollout.

> Extracts up to 50 highly relevant SEO keywords from text. Use when user wants to generate or extract keywords for given text.

'Execute Klaviyo primary workflow: profiles, lists, and subscriptions. Use when creating/updating profiles, managing lists, subscribing contacts, or syncing customer data to Klaviyo for email/SMS marketing. Trigger with phrases like \"klaviyo profiles\", \"klaviyo lists\", \"klaviyo subscribe\", \"add contacts to klaviyo\", \"klaviyo customer data\". '

Generates a premium single-page HTML landing page with 3D CSS animations, GSAP scroll effects, and mouse-parallax depth. Forcing intake (product + elevator pitch, audience register, brand overrides, tone) locks down positioning before any copy or markup is written, so the page reflects the actual product rather than generic boilerplate. Use whenever the user says 'landing for X', 'create a landing page', 'build a landing page', 'make a landing page for X', 'I need a web page for Y', or provid...

Use when positioning a Language (LSA) manuscript within the literature so it reads as in dialogue with current linguistics across frameworks. Language reviewers are drawn from across subfields; the positioning must engage the strongest rival accounts fairly, not build a subfield-only wall. Maps the conversation; it does not write the literature review.

Configure language settings. Use when: setting primary languages, do-not-translate terms, or locale formatting.

Research what people actually say about any topic in the last 30 days. Pulls posts and engagement from Reddit, X, YouTube, TikTok, Hacker News, Polymarket, GitHub, and the web. Includes a doctor health check to diagnose broken or missing sources.

Launch paid ad campaigns. Use when: deploying ads on Google, Meta, LinkedIn, or TikTok with targeting and safeguards.

Orchestrate the full multi-channel launch of an approved campaign plan — pre-launch checklist, asset readiness gate, channel-by-channel activation, CRM campaign record creation, kickoff comms, day-1 monitor setup. Broader than /launch-ad-campaign (which is paid-ads only).

Build product launch playbooks. Use when: planning pre-launch, launch day, or post-launch phases.

When the user wants to plan a product launch, feature announcement, or release strategy. Also use when the user mentions 'launch,' 'Product Hunt,' 'feature release,' 'announcement,' 'go-to-market,' 'beta launch,' 'early access,' 'waitlist,' 'product update,' 'GTM plan,' 'launch checklist,' or 'launch momentum.' This skill covers phased launches, channel strategy, and ongoing launch momentum.

When the user wants to plan a product launch, feature announcement, or release strategy. Also use when the user mentions 'launch,' 'Product Hunt,' 'feature release,' 'announcement,' 'go-to-market,' 'beta launch,' 'early access,' 'waitlist,' 'product update,' 'how do I launch this,' 'launch checklist,' 'GTM plan,' or 'we're about to ship.' Use this whenever someone is preparing to release something publicly. For ongoing marketing after launch, see marketing-ideas. For the offer being launched ...

| Codex-native Amazon PPC keyword research using LaunchFast MCP. Use when the user wants competitor keyword discovery, keyword tiering, or a ready-to-upload Amazon Sponsored Products bulk file from 1-15 ASINs. Requires the LaunchFast MCP tool `amazon_keyword_research`.

Import leads into CRM. Use when: loading leads from forms, CSV, or manual entry with deduplication and scoring.

AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.

AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.

Plan and optimize lead magnets for email capture and lead generation. Use when designing gated content, checklists, templates, downloadable resources, or other offers that convert visitors into subscribers.

Save a marketing learning or insight. Use when: capturing knowledge, recording campaign results, building compound intelligence.

Design sustainable link-building campaigns that connect business goals, linkable assets, publisher ecosystems, metrics, resources, and campaign templates. Use when planning a link-building campaign, choosing tactics, defining link-building KPIs, mapping links to business outcomes, or turning SEO authority goals into an executable campaign brief.

Plan, draft, review, and operate audience-relevant link outreach campaigns with personalization, subject lines, response handling, tracking, and bulk-send guardrails. Use when writing link outreach emails, pitching resource pages, handling outreach replies, planning blogger or journalist outreach, reviewing subject lines, or managing link acquisition workflows.

Find, prioritize, and reclaim missed link opportunities from unlinked brand mentions, image uses, content citations, broken owned URLs, outdated references, and attribution gaps. Use when auditing mentions, requesting credit links, fixing attribution, handling negative mentions, or salvaging lost backlinks.