SQL plugins

Perform business analysis workflows — KPI frameworks, predictive models, real-time dashboards, TAM/SAM/SOM calculations, and multi-year financial modeling for startups — using Python, SQL, and cloud data warehouses like Snowflake and BigQuery.

Build and manage end-to-end data analytics workflows: implement A/B testing with statistical rigor, design reliable analytics tracking, create interactive D3.js visualizations, architect scalable database schemas, and optimize SQL for cloud-native databases.

Manage an AI-supervised issue tracker with persistent task memory, dependency graphs, and compaction recovery, enabling multi-session coding workflows via simple CLI commands.

Enhances AI-assisted development for Chinese-speaking teams by providing structured workflows for planning, coding, testing, debugging, code review, and Git management, all adapted to Chinese conventions and domestic platforms.

Generate structured engineering documents and analyses for code reviews, incident postmortems, API docs, architecture decisions, system design, runbooks, CI/CD, SLOs, database migrations, security threat models, and more — all from natural language prompts in Claude Code.

Query SQL databases and tabular files directly from the terminal using sq's SLQ or native SQL, with capabilities to manage data sources, inspect schemas, diff tables, and handle various output formats

Plan complete trips from within Claude Code: generate itineraries, check weather and timezones, convert currency, and get packing lists, cultural tips, and budget breakdowns.

Develop, deploy, and manage Databricks-based data pipelines, ML models, AI agents, and dashboards using code, SQL, and declarative tools for multi-environment workflows.

Apply 28 prioritized best-practice rules for ClickHouse schema design, query optimization, and data ingestion, with companion skills for running ClickHouse SQL in Python, reviewing schemas and queries, writing Node.js client code, troubleshooting performance issues, and setting up local or cloud ClickHouse environments.

Manage AWS data lakes and analytics workflows: create and query Iceberg tables on S3 Tables, run Athena SQL across Glue and Redshift catalogs, ingest data from JDBC databases, Redshift, Snowflake, BigQuery, and DynamoDB, audit Glue Data Catalog assets, and store/query vector embeddings on S3 Vectors for semantic search and RAG.

Accelerate website creation and optimization with 103 structured skills spanning research, brand strategy, design, content, SEO, analytics, performance, security, and deployment—each providing expert-level prompts for tasks like auditing accessibility, fixing Core Web Vitals, conducting competitive analysis, running experiments, and managing incident response.

Build, manage, and deploy the full Salesforce platform stack — Apex, OmniStudio, Data Cloud, Agentforce agents, Lightning Web Components, UI bundles, flows, metadata, and mobile apps — with code generation, validation scoring, debugging, documentation retrieval, and CLI-driven deployment.

Provides Oracle Database guidance for writing, editing, debugging, and tuning SQL and PL/SQL; managing schemas, users, roles, and privileges; troubleshooting performance with optimizer plans, AWR, and ASH; and performing migrations, backup, recovery, and security configuration.

Run Claude Code workflows across software lifecycle phases: architect, review, test, deploy, and document with 70+ modular skills for code quality, security auditing, automated releases, manuscript preparation, system diagrams, and agent orchestration.

Orchestrates AI agent workflows with structured planning, sub-agent task delegation, and quality verification loops. Enforces code quality, testing, security, and documentation standards across projects. Automates Git workflows, commit messages, and project knowledge base management.

Develop and manage Tencent CloudBase applications: deploy cloud functions and CloudRun services, query and manage NoSQL/MySQL databases, call AI models (DeepSeek, Hunyuan, etc.), handle authentication and storage, and integrate WeChat Mini Programs — all via MCP.

Migrate and modernize codebases to AWS, including .NET Framework to .NET 8/10, mainframe COBOL to Java, VMware VMs to EC2, SQL Server to Aurora, and upgrading Java/Python/Node.js versions and AWS SDKs. Also analyzes repos for tech debt, security vulnerabilities, and modernization opportunities, and transforms CloudFormation templates.

Manage Amazon Aurora DSQL databases: design schemas, execute queries, handle migrations, analyze query plans, configure IAM auth, and load bulk data. Also query AWS knowledge bases for documentation and best practices.

Conduct scientific research across 1000+ biomedical databases (PubMed, UniProt, PubChem, TCGA, FAERS, ClinicalTrials.gov, etc.) through an MCP server, research agent, slash commands, and 115 specialized skills for drug discovery, genomics, clinical trials, and literature review.

Manage the full Microsoft Fabric lifecycle from CLI: create, migrate, monitor, and optimize lakehouses, warehouses, eventhouses, dataflows, pipelines, notebooks, Power BI semantic models, and real-time event streams across Bronze/Silver/Gold architectures, with agents for administration, data engineering, full-stack app development, and natural-language analytics via MCP.

Author and manage Microsoft Fabric solutions end-to-end: create data pipelines, Medallion lakehouses, Eventstream topologies, Power BI semantic models, and KQL databases via CLI and REST APIs, with agents for administration, data engineering orchestration, and full-stack app development.

Guides researchers through the full Journal of Banking & Finance publication lifecycle — from topic fit and literature positioning to empirical identification, data pipelines, tables/figures, submission preflight, and R&R rebuttals — with bilingual (en/zh-CN) support and Stata/R/Python conventions.

Guides authors through the full lifecycle of preparing and submitting a manuscript to the INFORMS Operations Research journal, from topic selection and model formulation to contribution statements, exhibits, reproducibility checks, and multi-round revisions.

Guides JCF corporate-finance manuscripts from question selection through submission: sharpens contributions to survive desk rejection, builds WRDS data pipelines with Stata/R/Python, designs causal identification strategies, formats tables and figures, and runs a preflight checklist for Editorial Manager.

Manage Apache Cayenne ORM projects by reverse-engineering database schemas, designing and editing DataMaps, generating entity Java classes, writing Cayenne queries, and bootstrapping runtime configuration – all through MCP tool integrations.

Profile PySpark DataFrames or Unity Catalog tables with AI to generate data quality rule candidates, define rules via Python classes or YAML, validate against DQEngine, run end-to-end checks splitting valid/quarantined rows, and persist rules to Delta tables, volumes, or Lakebase.

Diagnose and optimize Microsoft Fabric performance and health. Run CLI troubleshooting for Spark jobs, slow queries, and SQL pool pressure; plan capacity, governance, and security; coordinate medallion data engineering; build full-stack apps on Fabric data via Python, ODBC, and REST APIs.

Guides INFORMS Journal on Computing (IJOC) manuscript preparation from fit assessment through submission, with skills for sharpening computational contributions, designing reproducible experiments, writing rebuttals, and running a pre-submission preflight check.

Backtest and deploy algorithmic trading strategies on Hyperliquid and Polymarket using Superior Trade. Includes validated strategy templates (Bollinger mean-reversion, breakout, DCA, scalping, regime filters) and market analysis skills for funding rates, squeeze setups, and Polymarket probability momentum.

Connect to MongoDB databases, explore schemas, generate queries and aggregation pipelines from natural language, analyze query performance with index recommendations, implement Atlas Search and Vector Search, and manage stream processing workflows — all from within Claude.

Apply 33 structured reasoning frameworks — Bayesian analysis, root cause investigation, decision matrices, pre-mortems, and strategic planning — directly inside Claude Code to improve forecasts, valuations, architectural decisions, and problem-solving rigor.

Orchestrate medical research projects end-to-end: intake and scaffold manuscripts, run systematic reviews and meta-analyses, audit citations and reporting guideline compliance, generate publication-ready figures and statistical code, de-identify clinical data, and produce IRB protocols, peer reviews, and journal submission packages.

Manage Microsoft Dataverse environments programmatically: perform CRUD and bulk data operations, define and evolve data models, run advanced queries with pandas, administer environments (bulk delete, audit, settings), assign security roles, and handle solution lifecycle across environments via Python SDK, Web API, and PAC CLI.

Develop SAP HANA SQLScript procedures, table functions, and AMDPs with code generation, format conversion, performance analysis, syntax validation, and VS Code integration for end-to-end database development.

Scaffold, lint, validate, and debug custom widgets for SAP Analytics Cloud using JavaScript Web Components, JSON metadata, and data binding feeds, with support for third-party chart libraries like ECharts and D3.

Query, explore, and monitor Microsoft Fabric resources with read-only operations across KQL, DAX, T-SQL, lakehouse, eventstreams, dataflows, and catalog items. Includes agents for administration, data engineering, and full-stack app development, plus an MCP for remote Fabric/Power BI endpoints.

Build and deploy Databricks apps, dashboards, and visualizations; create declarative automation bundles (DABs) for jobs, pipelines, and alerts; develop Lakeflow jobs and Spark pipelines; manage Lakebase Postgres databases with autoscaling and branching; deploy model serving endpoints; migrate workloads to serverless compute; and operate CLI—all via specialized skills.

Automatically review Claude Code's plans and verify implementations using OpenAI Codex, getting a second opinion on architecture decisions, library choices, and code patterns before execution.

Perform crypto wallet operations, token swaps, fiat on-ramp/off-ramp, on-chain data queries, and trade prediction markets — all from the command line via MoonPay's CLI, with support for x402 micropayments and multi-chain transactions.

Run comprehensive security operations from a single skill: reconnaissance, vulnerability assessment, exploit development, reverse engineering, malware analysis, threat hunting, incident response, network/web/cloud security, SOC automation, log analysis, cryptography, red and blue team operations, AI/LLM, mobile, and OT/ICS security assessments with regulatory compliance mapping

Guides data engineering projects through a structured Spec-Driven Development workflow with 58 specialized agents for pipeline design, schema modeling, SQL optimization, data quality, lakehouse architecture, and AI/ML infrastructure. Generates visual diagrams, HTML documentation, code reviews, and git-aware status reports.

Build and orchestrate GCP data pipelines using natural language — discover assets, profile and transform data with dbt, Dataform, Spark, and BigQuery, then deploy and monitor workflows on Cloud Composer and Dataproc.

Scaffolds production-grade .NET Clean Architecture solutions with CQRS, DDD entities, EF Core mappings, authentication, authorization, pipeline behaviors, background jobs, email sending, health checks, structured logging, rate limiting, and comprehensive testing (xUnit, integration with Testcontainers).

Search PubMed and Europe PMC biomedical literature, fetch full-text articles via PMC/EPMC/Unpaywall, retrieve citations and MeSH terms, and integrate the results into AI agent workflows through the MCP protocol.

Define and manage semantic models that map database tables to business dimensions and metrics, then generate analytics webapps with copyable React/Tailwind components from those models. Supports importing from Cube, dbt, and LookML, and validates queries against the semantic layer.

Profile, analyze, and QA data workflows across multiple SQL dialects — craft optimized queries, apply statistical methods, profile unfamiliar datasets, and catch common analysis pitfalls with a reproducible quality checklist.

Query BigQuery datasets, retrieve table metadata, and generate analytical insights including time-series forecasting and contribution analysis using standard SQL and BigQuery AI/ML functions.

Drop-in autonomous research & analysis loops that take a user-defined task and run iterative, self-correcting workflows for literature surveys, hypothesis generation, clinical/power analysis, data cleaning, adversarial red-teaming, prompt/code/SQL optimization, ML model tuning, scientific figure creation, and paper revision.

Review and improve Rust projects with deep checks for ownership, lifetimes, async/tokio, serde, sqlx, axum, FFI, macros, unsafe code, and testing patterns — including git-diff auditing, false-positive verification, and project scaffolding with linting and CI.

Access PostHog analytics, A/B testing, feature flags, error tracking, and session replay via your AI coding assistant. Automatically capture AI coding sessions for LLM cost and latency insights.

Manage Cloud SQL for PostgreSQL on GCP: provision instances, explore databases, audit health, monitor performance via PromQL, manage replication, optimize vector search, and tune configurations.

Query blockchain data and manage Alchemy apps across 100+ chains using APIs, CLI, and MCP server, with wallet analytics from Allium and marketplace trading via OpenSea.

Add Logfire observability (tracing, logging, metrics) to Python, JS/TS, and Rust apps with auto-instrumentation for FastAPI, HTTPX, SQLAlchemy, asyncpg, and more; query telemetry via SQL or natural language; debug production errors and launch local dev sessions.

Automatically reverse-engineer legacy codebases into living architecture docs with Mermaid diagrams, then orchestrate a multi-agent risk audit that delegates parallel specialists (scalability, concurrency, chaos/SRE, security) and consolidates findings into a prioritized executive trust report.

After every Aurora DSQL transaction via MCP, prompts the LLM to verify the result by confirming schema (DDL) or row count (DML).

Extract structured data from any public webpage using AI-powered web search agents with stealth, JS rendering, and retries. Use pre-built skills for company research, competitor monitoring, candidate sourcing, healthcare provider validation, SEO intelligence, and business discovery. Deploy via CLI, agents, or MCP endpoint.

Enforce Python code quality with a verified-issue workflow: review FastAPI routing, SQLAlchemy database patterns, PostgreSQL queries, pytest tests, and general Python type safety, using parallel linters (ruff, mypy) and multi-step verification to eliminate false positives.

Provision and manage a complete Kubernetes-native data center: KubeVirt VMs, managed PostgreSQL/MariaDB databases, Helm-deployed apps, clusters, networking, storage, RBAC, secrets, KMS, and certificates—all via kubectl and CLI.

Run the full commercial real estate investment lifecycle from deal screening, underwriting, and capital structuring through due diligence, asset management, leasing, investor relations, and disposition — all within Claude Code via 127 specialized skills, expert subagents, and multi-agent orchestrators.

Orchestrates the full Spec-Driven Development (SDD) lifecycle: reverse-engineer codebase architecture, generate structured specs and designs from natural language requirements, plan implementation tasks, generate code, run quality checks, and collect evaluation metrics across multiple complexity tiers (express/standard/deep).

Mange Reverse ETL pipelines with drt by generating sync YAML to connect data warehouses to external services like Slack, HubSpot, and REST APIs, diagnose failures, migrate from existing tools like Census or Hightouch, and troubleshoot full pipeline health from installation to field mappings.

Manage a full InsForge backend platform from within the coding agent: spin up Postgres-based projects with auth, storage, edge functions, and an AI gateway; run database CRUD with row-level security; handle Stripe payments and external auth providers; debug with logs, metrics, and health diagnostics.

Enable wallet-based payment workflows for APIs using x402: authenticate via email OTP, fund with Coinbase Onramp, send/swap tokens on Base/Polygon/Solana, query onchain data, and build or consume paid Express endpoints with automatic USDC settlement.

Develop and maintain Moodle plugins with automated scaffolding, code audits for security/accessibility/GDPR, PHPUnit/Behat testing, cross-version upgrades, and mobile integration — all within Claude Code.

Compiles .view.yml semantic layer definitions into dialect-specific SQL, validates schema files, and enables LLMs and developers to explore dimensions, measures, and entities before generating queries.

Automate application security testing (SAST, SCA, secrets detection) and automatically fix findings across your codebase. Integrates with CI/CD pipelines, generates compliance attestations, and provides threat modeling, SCA triage, and business-logic vulnerability analysis. Guards against writing insecure code patterns and supports multi-platform CI (GitHub Actions, GitLab, CircleCI, Jenkins, Vercel).

Build high-quality computer vision datasets and models with FiftyOne: import/export datasets, run inference, evaluate predictions, find duplicates, visualize embeddings, and develop custom plugins — all from within Claude.

Execute complex multi-step coding workflows by decomposing tasks into DAGs and dispatching focused sub-agents with minimal context, automatically verifying database mutations after DSQL transactions.

Manage Omni Analytics instances end-to-end: administer users, permissions, and connections; explore and query semantic models; build and optimize dashboards and YAML model definitions; run AI model evaluations; and embed dashboards in external apps via signed iframes.

Manage analytical projects with self-documenting conventions, review code via parallel agents, fix PR issues with pattern-wide auditing, and surface cross-project knowledge transfers

Orchestrate full enterprise workflows by deploying 75 specialized AI agents across engineering, product, infrastructure, data, security, marketing, sales, finance, legal, and HR. Auto-routes tasks to domain experts, executes multi-agent pipelines with pre-built runbooks, handoff templates, QA gates, and escalations for end-to-end automation.

Manage the full lifecycle of AlloyDB for PostgreSQL databases on GCP: provision clusters and instances, create and manage IAM or built-in users with role grants, explore schemas and run SQL queries, monitor health and replication, and troubleshoot performance using Cloud Monitoring metrics.

SDD for Claude Code walks a feature through the full lifecycle — from idea capture through spec, architecture, data model, API design, task breakdown, TDD implementation, review, and shipping — using gated atomic skills and specialized subagents. It maintains an outcome-oriented roadmap, a living glossary, ADRs, and test plans, and surfaces a dashboard UI for pipeline visibility.

Design, secure, and test REST/GraphQL APIs with API Platform, covering DTOs, filters, pagination, validation, serialization, error handling, OpenAPI customization, real-time Mercure updates, and MCP AI agent integration.

Plan, implement, review, and document the full software development lifecycle — from requirements and architecture to code changes, testing, and release — using a structured skill-based workflow that adapts to the task at hand.

Query and model data through the Honeydew semantic layer: define entities, metrics, and dimensions from Snowflake or BigQuery sources, validate them, and explore data with structured queries or natural language.

Explore Google Cloud Spanner database structure by listing tables and viewing schema details, and execute custom DML/DQL SQL queries directly from the CLI.

Connect Oracle AIDP Spark notebooks to 23+ enterprise data sources (Oracle DB, AWS S3, Azure ADLS, Salesforce, Snowflake, PostgreSQL, MySQL, etc.) for read/write data pipelines using JDBC, REST, and cloud-native connectors.

Query Metabase using natural language to generate SQL, explore databases, and manage dashboards without writing complex queries manually.

Enforces a structured development workflow from design through implementation, testing, and deployment, with built-in code review, root-cause analysis, rule evolution, and git worktree isolation for Java/Spring Boot projects.

Orchestrate AI agents as a project manager — define requirements, decompose tasks, run parallel investigations, review code, and manage workflows without writing implementation code yourself.

Extract and analyze data from LinkedIn, Twitter/X, Instagram, Reddit, YouTube, Y Combinator, SEC filings, and the web for lead generation, competitive intelligence, market research, social media analytics, influencer discovery, brand monitoring, and investor research using the anysite MCP server.

Automatically routes Snowflake-related prompts from Claude Code to Cortex Code CLI for executing specialized operations like data quality, semantic views, ML, and governance, with optional explicit /cortex-run commands and automatic CLI installation.

Streamline the full software lifecycle — from architecture and fullstack development to CI/CD, security, documentation, and growth strategy — using lean AI agent skills designed for startups and engineering teams.

Control SAP Datasphere via natural language to explore catalogs and schemas, design semantic models and views, build and optimize ETL flows and task chains, connect diverse data sources, migrate from BW/4HANA, govern metadata and security, activate business content, automate admin via CLI, and troubleshoot pipelines.

Operate the entire Oracle AI Data Platform (AIDP) workbench in natural language: discover and query lakehouse catalogs, author and run Spark SQL (DDL/DML/Delta maintenance), build and deploy agent flows with LangGraph and guardrails, manage RAG knowledge bases, schedule jobs, provision clusters, handle RBAC and credentials, track ML experiments, and debug Spark performance — all through a single MCP agent with 37 skills.

Manage Keboola Connection projects through an AI agent that explores configs, jobs, lineage, branches, and SQL workspaces, enforces best practices like fresh-fetch and dry-run, and performs read-only PR reviews with severity-rated feedback

Ingest, search, filter, annotate, and export document workspaces from the Claude Code CLI — processes litigation productions, Outlook PST archives, and local files with Bates numbering, SQL-like filtering, pagination, and CSV export.

Audit codebases automatically against OWASP Web Top 10:2025, LLM Top 10:2025, and API Security Top 10:2023 — detecting vulnerabilities, performing threat modeling, analyzing attack chains, and applying fixes.

Provision and manage Google Cloud Bigtable instances and tables, design schemas, query data using SQL or client libraries in Java and Go, and generate code directly in Claude. Connect remotely to Bigtable Admin API for full lifecycle operations with GCP authentication.

Reverse-engineer any codebase into structured, verifiable documentation organized by layers (API, database, domain, frontend, infrastructure). Enables rebuilding the codebase in a new target stack while preserving contracts and business rules, guided by a knowledge graph and interactive dashboard.

Manage self-hosted Immich photo libraries directly from Claude — create geographic albums, find and delete duplicates and screenshots, repair broken metadata, analyze storage waste, and explore photos by GPS, people, or natural language.

Explore, analyze, and modify ABAP systems directly from Claude — run ABAP snippets, execute OpenSQL queries, fetch system details, and automate development tasks like code changes, AUnit tests, and ATC checks against SAP systems via sapcli.

Coordinate a team of AI agents that enforce structured workflows with mandatory gates—API contracts before coding, root-cause analysis before fixes, TDD, and pre-merge checks—to ensure quality and consistency.

Manage Cloud SQL for MySQL instances on GCP: provision databases and users, execute SQL queries, create backups and restores, clone environments, and troubleshoot performance using query execution plans and system metrics.

Develop and customize Frappe/ERPNext applications with guidance on backend patterns (hooks, scheduler jobs, patches, APIs), bench operations, DocType/form design, customization surfaces, frontend framework selection (Vue/React), and SQL/ORM usage.