Data & Analytics for Claude Code

Skills and tools powered by the Honeydew MCP that help coding agents query data and build semantic models

Data engineering: ETL pipelines, data modeling, analytics

Database specialists: PostgreSQL, MongoDB, Redis, BigQuery, CosmosDB

Agent Skills for downloading climate and weather data from various sources

Azure MCP Server - read-only Azure observability, cost, and resource-health analysis in natural language: monitoring, pricing, quota, advisor, resource health, diagnostics

Blackpoint Cyber / CompassOne MDR - tenants, assets, detections, vulnerabilities (dark web, external, scans)

HubSpot CRM - contacts, companies, deals, tickets, activities, and pipeline reporting (uses HubSpot's first-party MCP server)

Microsoft Graph Enterprise MCP - read-only natural-language queries over Microsoft Entra identity and directory data: users, groups, applications, devices, and admin reporting (public preview)

runZero - asset discovery, network scanning, inventory management

Unitrends - appliances, backup jobs, recovery points, replication, alerts (scaffolding)

Warmly visitor intelligence - identified website visitors, account-level engagement, and credit balance

Self-evolving deep research. Gets smarter every time you use it. Searches across channels, synthesizes cited reports, and learns which queries and platforms work best.

Recursive research up to PhD level across any domain (science, tech, business, arts, humanities). Source tiering, WDM + Munger inversion for autonomous decisions, and disk checkpointing to survive context compaction.

Agentic Context Engineering: evolve context through bullets, deltas, and TF-IDF retrieval. Complete with schemas, validation, and production scripts.

Read-only skills for exploring the KG-Registry over HTTP (no local clone needed): search resources by topic or domain, trace a resource's upstream data sources, find everywhere a resource is used, and find similar resources. Each queries the published Parquet files at https://kghub.org/kg-registry/registry/parquet/ via DuckDB.

Market analysis, monitoring, and intelligence gathering for trading and financial applications

Complete quantitative trading stack with risk management, circuit breakers, and execution hooks

DSPy-powered research pipeline with automated strategy discovery, backtesting, and continuous optimization

Ai2 Asta MCP — Semantic Scholar academic graph over MCP (no Python). Intent-to-tool routing, safe fields defaults to avoid context blowups, citation traversal, author lookup, snippet evidence retrieval, and DOI/arXiv/PMID via externalIds.

Bilibili anime frame & character organizer — download a bangumi/UP video (or local file), extract scene-change keyframes, split scenery vs character crops (anime person detection), then either cluster everyone by CCIP identity or pull ONE character out via a reference folder (one-vs-rest, distance-prefixed matches). Agent-native JSON envelope CLI with --dry-run, --schema, stable exit codes; optional OCR+LaMa subtitle/watermark removal.

Journal name abbreviation lookup — ISO 4 + MEDLINE, multi-source cascade (JabRef ~25K journals → AbbrevISO → NLM Catalog), BibTeX field rewrite, batch and NDJSON streaming, agent-native JSON envelope with stable error codes, dry-run on every mutating command, --idempotency-key for replay-safe bib rewrites, and atomic cache rebuild that preserves the old cache on failure

Download scientific paper PDFs by DOI (or title) — 7-source fallback chain (Unpaywall, Semantic Scholar, arXiv, PubMed Central, bioRxiv/medRxiv, publisher direct, Sci-Hub), batch mode, idempotent retries, structured JSON envelope, and SSRF-safe downloads

End-to-end academic research pipeline — 8-phase (Phase 0..7) script-driven workflow across 7 federated sources (OpenAlex, arXiv, Crossref, PubMed, DBLP, bioRxiv, Exa), cross-source dedup, transparent ranking, dual-backend citation chasing (OpenAlex + Semantic Scholar), parallel deep-read fan-out, mandatory self-critique, and cited reports across 5 archetypes

Semantic Scholar paper search — keyword/boolean/snippet search, citation traversal, similar-paper recommendations, author lookup, BibTeX/Markdown/JSON export, with built-in rate limiting and single-script execution

Multi-source drug-target due-diligence — turn a ranked gene list (e.g. scRNA-seq DE output) into a per-gene dossier across UniProt, OpenTargets, and PubMed, plus a local cross-lineage DE scan, then re-rank by a configurable composite score (cross-lineage convergence + druggability + disease genetics + tractability + novelty). Disease-agnostic: configurable focus disease and cell-context queries.

Paper search, metadata, document management, literature reports, experiments, and theory generation for scientific research

Find the most relevant passages in an already-extracted document (the text or Markdown output of pdf-to-markdown / pdf-to-text) with ranked (BM-25) search.

Azure FinOps and governance workflows — query costs, monitor budgets, detect anomalies, and identify idle resources for optimization

Azure AI Document Intelligence — OCR, prebuilt models (invoices, receipts, IDs, tax forms), custom models, layout analysis, document classification, and batch processing

Azure Monitor, Application Insights, and Log Analytics — metrics, alerts, KQL queries, dashboards, and diagnostic settings

Microsoft Dynamics 365 Business Central ERP — finance, supply chain, and inventory management via BC OData v4 / API v2.0 REST API

Dataverse table, column, and relationship management via Web API — schema design, data seeding, and solution lifecycle

Excel data cleaning with pandas, Office Script generation, and Power Automate flow creation

Microsoft Fabric AI and operations agents - anomaly detector, data agent, operations agent, ontology, and digital twin builder workflows with preview guardrails.

Microsoft Fabric Capacity Operations — CU monitoring, throttling diagnostics, workload tuning, autoscale planning, and cost-performance optimization

Microsoft Fabric Data Activator — Reflex triggers, condition-based alerts, real-time actions, and event-driven automation on Fabric data

Microsoft Fabric Data Engineering — lakehouses, Spark notebooks, data pipelines, Delta Lake tables, lakehouse SQL endpoints, multi-notebook orchestration, workspace lifecycle management, pipeline monitoring, and advanced optimization

Microsoft Fabric Data Factory — data pipelines, Dataflow Gen2, Copy activity, orchestration patterns, and scheduling

Microsoft Fabric data preparation jobs - Dataflow Gen1, Apache Airflow jobs, mounted Azure Data Factory pipelines, and dbt job governance for deterministic prep workflows.