Claude Skills by thedixitjain

Automate Contentful Graphql tasks via Rube MCP (Composio). Always search tools first for current schemas.

Use when multiple consumers and providers must evolve an API or event schema without field drift, integration surprises, or one side silently redefining the interface.

Convex reactive backend expert: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.

Retrieve and display GitHub Copilot usage metrics for organizations and enterprises using the GitHub CLI and REST API.

'Handle training data and model artifacts on CoreWeave persistent storage. Use when managing large datasets, configuring storage classes, or implementing data pipelines for GPU workloads. Trigger with phrases like \"coreweave data\", \"coreweave storage\", \"coreweave pvc\", \"coreweave dataset management\". '

'Analyze correlation analyzer operations. Auto-activating skill for Data Analytics. Triggers on: correlation analyzer, correlation analyzer Part of the Data Analytics skill category. Use when analyzing or auditing correlation analyzer. Trigger with phrases like \"correlation analyzer\", \"correlation analyzer\", \"analyze correlation r\". '

Automate Countdown API tasks via Rube MCP (Composio). Always search tools first for current schemas.

Use when running and reporting the analyses for a Comparative Political Studies (CPS) manuscript — estimation, uncertainty, robustness, and multi-method triangulation on comparative data. Sets analysis norms; it does not choose the identification strategy (see cps-research-design).

Use when preparing the replication and transparency materials for a Comparative Political Studies (CPS) manuscript. Quantitative papers cannot be finally accepted until replication materials are deposited at the CPS Dataverse; a data availability statement is required. Prepares the package; it does not waive requirements.

Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event-sourced systems.

Create an OpenCode plugin for OpenWork. Scaffolds the plugin file with the correct API shape, tool definitions, and hook registration. Use when the user asks to 'create a plugin', 'write a plugin', or 'make a plugin that does X'.

'Generate plots, charts, and graphs from data with automatic visualization type selection. Use when requesting \"visualization\", \"plot\", \"chart\", or \"graph\". Trigger with phrases like ''generate'', ''create'', or ''scaffold''. '

'Create webhook endpoints with signature verification, retry logic, and payload validation. Use when receiving and processing webhook events. Trigger with phrases like \"create webhook\", \"handle webhook events\", or \"setup webhook handler\". '

Use when executing and reporting the analysis for a Criminology (ASC / Wiley) manuscript so it survives expert review — honest uncertainty, robustness, and methods appropriate to crime counts, longitudinal panels, trajectory models, and recidivism survival. Guides analysis norms; it does not fabricate results.

Use when preparing the data, replication, and transparency materials for a Criminology (ASC / Wiley) manuscript — data-availability statements, reproducibility packages, preregistration, and handling restricted criminal-justice data under DUAs. Criminology operates under growing open-science norms (Wiley open-science badges, ICPSR/NACJD archiving). Prepares the package; it does not waive requirements.

'Manage cron job scheduler operations. Auto-activating skill for Backend Development. Triggers on: cron job scheduler, cron job scheduler Part of the Backend Development skill category. Use when working with cron job scheduler functionality. Trigger with phrases like \"cron job scheduler\", \"cron scheduler\", \"cron\". '

'Build cte query builder operations. Auto-activating skill for Data Analytics. Triggers on: cte query builder, cte query builder Part of the Data Analytics skill category. Use when working with cte query builder functionality. Trigger with phrases like \"cte query builder\", \"cte builder\", \"cte\". '

Use when executing and reporting the analysis/interpretation for a Current Anthropology (CA) manuscript so it survives expert review and the published CA✩ Comments — disciplined ethnographic/qualitative inference, honest interpretation, and (for biological/archaeological work) sound quantitative analysis. Guides analysis and interpretation norms; it does not fabricate evidence or quotations.

Use when handling research ethics, consent, community accountability, and data/transparency for a Current Anthropology (CA) manuscript — informed consent, anonymization, protection of vulnerable interlocutors, heritage and repatriation obligations, and what (and what NOT) to share, plus the Wenner-Gren copyright assignment. At CA this is an ethics-and-accountability skill; protecting people can override sharing data. Plans the ethics and transparency; it does not grant waivers.

Automate Currents API tasks via Rube MCP (Composio). Always search tools first for current schemas.

'Configure BYOK API keys for OpenAI, Anthropic, Google, Azure, and custom models in Cursor. Triggers on \"cursor api key\", \"cursor openai key\", \"cursor anthropic key\", \"own api key cursor\", \"BYOK cursor\", \"cursor azure key\". '

'Troubleshoot common Cursor IDE errors: authentication, completion, indexing, API, and performance issues. Triggers on \"cursor error\", \"cursor not working\", \"cursor issue\", \"cursor problem\", \"fix cursor\", \"cursor crash\". '

'Troubleshoot Cursor codebase indexing: stuck indexing, empty search, @codebase failures, and performance issues. Triggers on \"cursor indexing\", \"cursor index\", \"@codebase not working\", \"cursor search broken\", \"indexing stuck\". '

Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.

'Implement Customer.io core features: transactional messages, API-triggered broadcasts, segments, and person merge. Trigger: \"customer.io segments\", \"customer.io transactional\", \"customer.io broadcast\", \"customer.io merge users\", \"customer.io send email\". '

'Implement Customer.io rate limiting and backoff. Use when handling high-volume API calls, implementing retry logic, or hitting 429 errors. Trigger: \"customer.io rate limit\", \"customer.io throttle\", \"customer.io 429\", \"customer.io backoff\", \"customer.io too many requests\". '

'Implement Customer.io webhook and reporting event handling. Use when processing email delivery events, click/open tracking, bounce handling, or streaming to a data warehouse. Trigger: \"customer.io webhook\", \"customer.io events\", \"customer.io delivery status\", \"customer.io bounces\", \"customer.io open tracking\". '

Data exploration and analysis partner for Product Managers. Use when the user needs to query databases, analyze metrics, create dashboards, or extract insights from data. Triggers include \"query\", \"analyze data\", \"metrics\", \"BigQuery\", \"SQL\", \"dashboard\", \"what does the data say\", or when working with quantitative information.

'Process data augmentation pipeline operations. Auto-activating skill for ML Training. Triggers on: data augmentation pipeline, data augmentation pipeline Part of the ML Training skill category. Use when working with data augmentation pipeline functionality. Trigger with phrases like \"data augmentation pipeline\", \"data pipeline\", \"data\". '

'Process data catalog updater operations. Auto-activating skill for Data Pipelines. Triggers on: data catalog updater, data catalog updater Part of the Data Pipelines skill category. Use when working with data catalog updater functionality. Trigger with phrases like \"data catalog updater\", \"data updater\", \"data\". '

Use when source data and receiving code may disagree on fields, shape, optionality, enum values, or business meaning. Trigger for real data wiring, mock replacement, field/schema/type mismatch, snake_case/camelCase, 接口对接, 字段对齐, 类型对不上. Do not use for styling, copy, imports, or no-boundary renames.

Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.

Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.

You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing.

Data engineering patterns for ETL pipelines, data warehousing, Apache Spark, and data quality validation

Generates a Mermaid sequence diagram showing how data moves between components. Use when tracing request flows or documenting data transformation pipelines.

'Track data lineage tracker operations. Auto-activating skill for Data Pipelines. Triggers on: data lineage tracker, data lineage tracker Part of the Data Pipelines skill category. Use when working with data lineage tracker functionality. Trigger with phrases like \"data lineage tracker\", \"data tracker\", \"data\". '

>- Guides developers through uploading audience members to Google products using the Data Manager API /v1/audienceMembers/ingest endpoint and its associated client libraries. Use this skill when the user wants to upload audience members for Customer Match, mobile device ID audiences, or any other audience use case supported by the Data Manager API. Don't use for uploading events or conversions (use the data-manager-api-event-ingestion skill).

>- Guides developers through implementing event and conversion ingestion to Google products using the Data Manager API /v1/events/ingest endpoint and its associated client libraries. Use this skill when the user wants to upload offline conversions, enhanced conversions for leads, click conversions, Google Analytics web or app events, or any other event ingestion use case supported by the Data Manager API. Don't use for uploading audience members (use the data-manager-api-audience-ingestion sk...

>- Guides developers through client library installation and authentication setup steps for the Data Manager API. Use this skill when a user is getting started with the Data Manager API and needs to setup their local environment, install the client library, or setup access to the API. Don't use for implementing audience or event ingestion logic (use the data-manager-api-audience-ingestion or data-manager-api-event-ingestion skills instead).

'Process data partitioner operations. Auto-activating skill for Data Pipelines. Triggers on: data partitioner, data partitioner Part of the Data Pipelines skill category. Use when working with data partitioner functionality. Trigger with phrases like \"data partitioner\", \"data partitioner\", \"data\". '

Use when working with structured data files (CSV, JSON, YAML, TOML, Parquet) — querying, transforming, filtering, aggregating, or converting between formats

Audit datasets for completeness, consistency, accuracy, and validity. Profile data distributions, detect anomalies and outliers, surface structural issues, and produce an actionable remediation plan. Use when the user asks to check data quality, profile a dataset, hunt outliers or missing values, or validate data before analysis or model training.

../../../engineering/data-quality-auditor/skills/data-quality-auditor/SKILL.md

'Validate data quality checker operations. Auto-activating skill for Data Pipelines. Triggers on: data quality checker, data quality checker Part of the Data Pipelines skill category. Use when working with data quality checker functionality. Trigger with phrases like \"data quality checker\", \"data checker\", \"data\". '

Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.

Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.

'Process data story outliner operations. Auto-activating skill for Data Analytics. Triggers on: data story outliner, data story outliner Part of the Data Analytics skill category. Use when working with data story outliner functionality. Trigger with phrases like \"data story outliner\", \"data outliner\", \"data\". '

Give agents persistent structural memory of a codebase — navigate dependencies, track public APIs, and understand why connections exist without re-reading the whole repo.

Use when large data ingestion, backfill, export, ETL, warehouse loading, manifest catch-up, or table synchronization needs to become much faster while preserving data correctness.