
Claude Skills by thedixitjain
github.com/thedixitjainUse when analyzing and reporting results for a Journal of Applied Psychology (JAP) manuscript using SEM, multilevel (HLM) models, mediation/moderation, or meta-analysis. JAP requires effect sizes with confidence intervals, model-based indirect effects with bootstrap CIs, fit indices, full disclosure, and a clean confirmatory/exploratory split. Guides analysis norms; it does not fabricate results.
Use when executing and reporting the analysis for a Journal of Communication (JoC) manuscript so it survives expert, double-anonymous review — honest uncertainty, robustness, reliability, and triangulation appropriate to quantitative, computational, or content-analytic work. Guides analysis norms; it does not fabricate results.
Use when designing the Monte Carlo study and empirical illustration that demonstrate a Journal of Econometrics (JoE) method works in finite samples. Covers size/power simulation design, DGP stress tests, and the role of the applied illustration relative to the theory.
Use to prepare code and data materials for a Journal of Econometrics (JoE) submission under Elsevier's data-citation and availability norms, including reproducible Monte Carlo and the [dataset] reference tag. Reflects that JoE has no mandatory central replication archive — replication is encouraged, not universally mandated.
Use when executing the empirical analysis for a Journal of Labor Economics (JOLE) manuscript — labor sample construction (CPS/ACS/registers), wage decompositions, standard errors, and robustness to labor norms, with replicability built in from the start. Operational guidance; pairs with jole-identification-strategy.
Use when assembling the data and code deposit for an accepted Journal of Labor Economics (JOLE) paper — the JOLE Dataverse Repository, the AER data-availability policy (adopted Feb 2009), and proprietary-data handling. Builds the replication package; it does not run analysis.
Use when running and reporting the statistical analysis for a Journal of Operations Management (JOM) empirical manuscript — measurement validity for survey constructs, identification and endogeneity for archival operations data, manipulation checks for behavioral-OM experiments, and robustness. Executes and reports the analysis; it does not design the study (jom-methods) or frame the contribution (jom-contribution-framing).
Use for analysis-stage decisions on a The Journal of Politics (JOP) manuscript — uncertainty, robustness, and reporting norms — written so the work is reproducible from line one. JOP makes acceptance contingent on replicability and a JOP replication analyst re-runs the code, so every reported number must come from a script. Guides analysis; it does not fabricate results.
Use when preparing the replication / data-access materials for a The Journal of Politics (JOP) manuscript. JOP makes acceptance contingent on replicability — a JOP replication analyst assigned at conditional acceptance assesses the package you deposit in the JOP Dataverse (Harvard Dataverse), and non-replicable manuscripts are rejected. Prepares the package; it does not waive the requirement.
Use when running and reporting the estimation for a Journal of Policy Analysis and Management (JPAM) manuscript — program-evaluation estimates plus the cost-benefit and distributional analysis JPAM expects, with robustness, heterogeneity, and honest uncertainty. Guides analysis norms; it does not replace the identification design.
Use when preparing the replication / transparency materials for a Journal of Policy Analysis and Management (JPAM) manuscript — depositing data and code in a public repository so the reported results can be reproduced, with an honest exemption path for restricted administrative data. Prepares the package; it does not waive requirements.
Use when assembling the data and code replication package for a Journal of Political Economy (JPE) manuscript to DCAS / JPE Data Editor standards for conditionally accepted papers, with deposit to the JPE Dataverse. Builds the package and README; it does not run the analysis itself.
Use when analyzing and reporting the multi-study package for a Journal of Personality and Social Psychology (JPSP) manuscript to JARS standard — effect sizes with uncertainty, honest robustness, and an internal meta-analysis that pools effects across studies. Guides analysis and reporting norms; it does not fabricate results.
Use when handling the empirical analysis for a Journal of Public Economics (JPubE) manuscript — administrative tax/transfer/health/register data, elasticity and bunching estimation, sufficient-statistics and MVPF calculations, heterogeneity, and robustness. Executes the analysis plan; for the causal design itself use jpube-identification-strategy.
Use when assembling data and code for a Journal of Public Economics (JPubE) manuscript under Elsevier's Option C research-data framework — data-availability statements, repository deposit/citation/linking, restricted administrative data, and a reproducible package. It does not run the analysis.
Use when assembling the data, code, and experiment materials for a Journal of Risk and Uncertainty (JRU) manuscript and writing its Data Availability Statement. Builds a transparent, reproducible package; it does not invent evidence or citations.
Use when assembling the data and code deposit for a Journal of Urban Economics (JUE) manuscript under its mandatory replication policy — especially geocoded, restricted, or proprietary spatial data. Builds the JUE-compliant replication folder and confidentiality path; it does not run the analysis or write the prose.
'Juicebox data privacy and GDPR. Trigger: \"juicebox data privacy\", \"juicebox gdpr\". '
Coleta e consulta dados de leiloeiros oficiais de todas as 27 Juntas Comerciais do Brasil. Scraper multi-UF, banco SQLite, API FastAPI e exportacao CSV/JSON.
Search, scrape, crawl, extract structured data, and monitor web pages via the ScrapeGraph AI CLI. Use when the user asks to search the web, scrape a webpage, grab content from a URL, extract JSON from a site, crawl documentation or site sections, monitor a page for changes, inspect request history, check ScrapeGraph credits, or validate API setup.
Use when choosing or defending the data behind a 《世界经济》 (The Journal of World Economy) manuscript — customs micro data (firm-product-destination), cross-country panels, and GVC / input-output decomposition (KWW value-added, ADB / WIOD MRIO). Steers away from generic provincial panels toward internationally-credible sources.
'Manage kafka producer consumer operations. Auto-activating skill for Backend Development. Triggers on: kafka producer consumer, kafka producer consumer Part of the Backend Development skill category. Use when working with kafka producer consumer functionality. Trigger with phrases like \"kafka producer consumer\", \"kafka consumer\", \"kafka\". '
'Process kafka stream processor operations. Auto-activating skill for Data Pipelines. Triggers on: kafka stream processor, kafka stream processor Part of the Data Pipelines skill category. Use when working with kafka stream processor functionality. Trigger with phrases like \"kafka stream processor\", \"kafka processor\", \"kafka\". '
| Execute the Klaviyo secondary workflow: event tracking, segments, and campaigns. Use when you need to track customer events, query or size segments, build and send email campaigns, or inspect metric-triggered flows through the Klaviyo API. Trigger with phrases like \"klaviyo events\", \"klaviyo segments\", \"klaviyo campaigns\", \"track klaviyo event\", \"klaviyo flow trigger\".
'Configure Klaviyo across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment API keys, or implementing environment-specific Klaviyo configurations. Trigger with phrases like \"klaviyo environments\", \"klaviyo staging\", \"klaviyo dev prod\", \"klaviyo environment setup\", \"klaviyo config by env\". '
'Implement Klaviyo rate limiting, backoff, and request queuing patterns. Use when handling 429 errors, implementing retry logic, or optimizing API request throughput for Klaviyo. Trigger with phrases like \"klaviyo rate limit\", \"klaviyo throttling\", \"klaviyo 429\", \"klaviyo retry\", \"klaviyo backoff\", \"klaviyo Retry-After\". '
'Implement Klaviyo webhooks with HMAC-SHA256 signature verification and event handling. Use when setting up webhook endpoints, handling Klaviyo event notifications, or creating event-driven integrations with Klaviyo. Trigger with phrases like \"klaviyo webhook\", \"klaviyo events\", \"klaviyo webhook signature\", \"handle klaviyo events\", \"klaviyo notifications\". '
'Diagnose and fix common Kling AI API errors. Use when troubleshooting failed video generation or API issues. Trigger with phrases like ''kling ai error'', ''klingai not working'', ''fix klingai'', ''klingai failed''. '
'Avoid common mistakes when using Kling AI API. Use when troubleshooting or learning best practices. Trigger with phrases like ''klingai pitfalls'', ''kling ai mistakes'', ''klingai gotchas'', ''klingai best practices''. '
'Handle Kling AI API rate limits with backoff and queuing strategies. Use when hitting 429 errors or planning high-volume workflows. Trigger with phrases like ''klingai rate limit'', ''kling ai 429'', ''klingai throttle'', ''kling api limits''. '
'Apply artistic styles and visual effects to Kling AI video generation. Use when creating stylized content or using effects API. Trigger with phrases like ''klingai style'', ''kling ai effects'', ''klingai artistic video'', ''stylize klingai video''. '
'Configure Kling AI for teams with per-project API keys, usage quotas, and role-based access. Trigger with phrases like ''klingai team'', ''kling ai organization'', ''klingai multi-user'', ''shared klingai access''. '
'Configure webhook callbacks for Kling AI task completion. Use when building event-driven pipelines or replacing polling. Trigger with phrases like ''klingai webhook'', ''kling ai callback'', ''klingai notifications'', ''video completion webhook''. '
'Configure with kpi definition helper operations. Auto-activating skill for Data Analytics. Triggers on: kpi definition helper, kpi definition helper Part of the Data Analytics skill category. Use when working with kpi definition helper functionality. Trigger with phrases like \"kpi definition helper\", \"kpi helper\", \"kpi\". '
Use to select and apply the correct EQUATOR reporting guideline for a Lancet manuscript — CONSORT for RCTs (with the mandatory flow diagram), STROBE for observational studies, PRISMA for systematic reviews/meta-analyses, SPIRIT for protocols — and to attach the completed checklist and study-flow diagram.
Use when planning or auditing the analysis of a Language (LSA) manuscript so the evidence credibly supports the theoretical claim. Covers quantitative modeling (mixed-effects in R), phonetic measurement, corpus statistics, and the analytic trail from glossed data or judgments to the generalization. Improves the analysis chain; it does not fabricate results.
Use when preparing the data, annotation, and reproducibility materials for a Language (LSA) manuscript — shared datasets and code, glossed corpora, sound files, and the ethics of working with language consultants and communities. Language values transparent, documented data; over-stating a mandated deposit is as wrong as hiding materials. Documents and shares; it does not run the analysis.
\"Rate-limit LangChain 1.0 calls correctly across multi-worker deployments\\ \\ \\u2014\\nRedis-backed limiters, asyncio.Semaphore, narrow exception whitelists,\\ \\ and\\nprovider-specific throttle handling. Use when hitting 429s in production,\\n\\ scaling workers horizontally, or tuning throughput against Anthropic, OpenAI,\\n\\ or Gemini tier limits.\\nTrigger with \\\"langchain rate limit\\\", \\\"langchain 429\\\"\\ , \\\"langchain semaphore\\\",\\n\\\"langchain token bucket\\\", \\\"an...
\"Dispatch LangChain 1.0 chain/agent events to external systems \\u2014\\ \\ webhooks, Kafka,\\nRedis Streams, SNS \\u2014 via async fire-and-forget callbacks,\\ \\ subgraph-aware wiring,\\nand HMAC-signed delivery with idempotency keys. Use when\\ \\ firing webhooks on tool\\ncalls, pushing telemetry to Kafka / Redis Streams, or\\ \\ fanning progress to multiple\\nsubscribers without blocking the chain.\\nTrigger\\ \\ with \\\"langchain webhook\\\", \\\"langchain event dispatch\\\", \\\"lang...
'Manage Langfuse data export, retention, and compliance requirements. Use when exporting trace data, configuring retention policies, or implementing data compliance for LLM observability. Trigger with phrases like \"langfuse data export\", \"langfuse retention\", \"langfuse GDPR\", \"langfuse compliance\", \"export langfuse traces\". '
Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.
'Set up Lindy AI account, API access, and webhook authentication. Use when onboarding to Lindy, configuring API keys for webhook triggers, or connecting Lindy agents to your application. Trigger with phrases like \"install lindy\", \"setup lindy\", \"lindy auth\", \"configure lindy API key\", \"lindy webhook secret\". '
'Lindy AI integration patterns for webhook handling, HTTP actions, and Run Code. Use when building integrations, calling Lindy agents from code, or implementing the Run Code action with Python/JavaScript. Trigger with phrases like \"lindy SDK patterns\", \"lindy best practices\", \"lindy API patterns\", \"lindy Run Code\", \"lindy HTTP Request\". '
'Configure Lindy AI webhook triggers, callback patterns, and event handling. Use when setting up webhook triggers, implementing callback receivers, or building event-driven Lindy integrations. Trigger with phrases like \"lindy webhook\", \"lindy events\", \"lindy callback\", \"lindy webhook trigger\". '
'Issue lifecycle management with Linear: create, update, transition, relate, comment, and organize issues through the SDK and GraphQL API. Trigger: \"linear issue workflow\", \"linear issue lifecycle\", \"create linear issues\", \"update linear issue\", \"linear state transition\", \"linear sub-issues\", \"linear comments\". '
'Optimize Linear API usage, reduce unnecessary calls, and maximize efficiency within rate limit budgets. Trigger: \"linear cost\", \"reduce linear API calls\", \"linear efficiency\", \"linear API usage\", \"optimize linear costs\", \"linear budget\". '
'Data synchronization, backup, and consistency patterns for Linear. Use when implementing data sync, creating backups, exporting data, or ensuring data consistency between Linear and local state. Trigger: \"linear data sync\", \"backup linear\", \"linear export\", \"linear data consistency\", \"sync linear issues\". '
'Configure Linear across development, staging, and production environments. Use when setting up per-environment API keys, secret management, or environment-specific Linear configurations. Trigger: \"linear environments\", \"linear staging\", \"linear dev prod\", \"linear environment setup\", \"multi-environment linear\". '
'Handle Linear API rate limiting, complexity budgets, and quotas. Use when dealing with 429 errors, implementing throttling, or optimizing request patterns to stay within limits. Trigger: \"linear rate limit\", \"linear throttling\", \"linear 429\", \"linear API quota\", \"linear complexity\", \"linear request limits\". '
'TypeScript/JavaScript SDK patterns and best practices for Linear. Use when learning SDK idioms, implementing pagination, filtering, relation loading, or custom GraphQL queries. Trigger: \"linear SDK patterns\", \"linear best practices\", \"linear typescript\", \"linear API patterns\", \"linear pagination\". '