Full research pipeline: Workflow 1 (idea discovery) → Workflow 1.5 (experiment bridge) → Workflow 2 (auto review loop) → Workflow 3 (paper writing, optional). Goes from a broad research direction all the way to a polished PDF. Use when user says "全流程", "full pipeline", "从找idea到投稿", "end-to-end research", or wants the complete autonomous research lifecycle.

Workflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, implements experiment code, deploys to GPU, collects initial results. Use when user says "实现实验", "implement experiments", "bridge", "从计划到跑实验", "deploy the plan", or has an experiment plan ready to execute.

API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.

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

This skill enables Claude to aggregate and centralize performance metrics from various sources. It is used when the user needs to consolidate metrics from applications, systems, databases, caches, queues, and external services into a central location for monitoring and analysis. The skill is triggered by requests to "aggregate metrics", "centralize performance metrics", or similar phrases related to metrics aggregation and monitoring. It facilitates designing a metrics taxonomy, choosing appropriate aggregation tools, and setting up dashboards and alerts.

This skill enables Claude to track and run regression tests, ensuring new changes don't break existing functionality. It is triggered when the user asks to "track regression", "run regression tests", or uses the shortcut "reg". The skill helps in maintaining code stability by identifying critical tests, automating their execution, and analyzing the impact of changes. It also provides insights into test history and identifies flaky tests. The skill uses the `regression-test-tracker` plugin.

This skill enables Claude to automatically check for HIPAA (Health Insurance Portability and Accountability Act) compliance issues in codebases, infrastructure configurations, and documentation. It leverages the hipaa-compliance-checker plugin to identify potential violations related to data privacy, security, and access controls. Use this skill when the user explicitly requests to "check HIPAA compliance", "scan for HIPAA violations", "assess HIPAA readiness", or similar phrases related to HIPAA audits and security best practices. It is useful for projects handling protected health information (PHI) and requiring adherence to HIPAA regulations.

This skill automates database archival processes. It helps reduce primary database size by moving historical records to archive tables or cold storage solutions like S3, Azure Blob, or GCS. The plugin supports PostgreSQL and MySQL, implementing automated retention policies, compression, compliance tracking, and zero-downtime migration. Use this when the user mentions "database archival", "archive old database records", "retention policies", "cold storage", or "reduce database size." It is particularly useful for handling requests related to data lifecycle management and compliance requirements in database systems.

This skill enables Claude to deploy machine learning models to production environments. It automates the deployment workflow, implements best practices for serving models, optimizes performance, and handles potential errors. Use this skill when the user requests to deploy a model, serve a model via an API, or put a trained model into a production environment. The skill is triggered by requests containing terms like "deploy model," "productionize model," "serve model," or "model deployment."

This skill enables Claude to track and run regression tests, ensuring new changes don't break existing functionality. It is triggered when the user asks to "track regression", "run regression tests", or uses the shortcut "reg". The skill helps in maintaining code stability by identifying critical tests, automating their execution, and analyzing the impact of changes. It also provides insights into test history and identifies flaky tests. The skill uses the `regression-test-tracker` plugin.

This skill enables Claude to automatically check for HIPAA (Health Insurance Portability and Accountability Act) compliance issues in codebases, infrastructure configurations, and documentation. It leverages the hipaa-compliance-checker plugin to identify potential violations related to data privacy, security, and access controls. Use this skill when the user explicitly requests to "check HIPAA compliance", "scan for HIPAA violations", "assess HIPAA readiness", or similar phrases related to HIPAA audits and security best practices. It is useful for projects handling protected health information (PHI) and requiring adherence to HIPAA regulations.

This skill automates database archival processes. It helps reduce primary database size by moving historical records to archive tables or cold storage solutions like S3, Azure Blob, or GCS. The plugin supports PostgreSQL and MySQL, implementing automated retention policies, compression, compliance tracking, and zero-downtime migration. Use this when the user mentions "database archival", "archive old database records", "retention policies", "cold storage", or "reduce database size." It is particularly useful for handling requests related to data lifecycle management and compliance requirements in database systems.

This skill enables Claude to deploy machine learning models to production environments. It automates the deployment workflow, implements best practices for serving models, optimizes performance, and handles potential errors. Use this skill when the user requests to deploy a model, serve a model via an API, or put a trained model into a production environment. The skill is triggered by requests containing terms like "deploy model," "productionize model," "serve model," or "model deployment."

Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.

Decomposes complex user requests into executable subtasks, identifies required capabilities, searches for existing skills at skills.sh, and creates new skills when no solution exists. This skill should be used when the user submits a complex multi-step request, wants to automate workflows, or needs help breaking down large tasks into manageable pieces.

Decomposes complex user requests into executable subtasks, identifies required capabilities, searches for existing skills at skills.sh, and creates new skills when no solution exists. This skill should be used when the user submits a complex multi-step request, wants to automate workflows, or needs help breaking down large tasks into manageable pieces.