Data & Analytics for Claude Code

Real-time search engine supporting web search, vertical domain search, parallel batch search, and URL content extraction.

Gather employee names + email patterns for password spray prep. Pipeline theHarvester (search engines + CT logs) -> derive names from email local-parts -> username-anarchy expansion. LinkedIn search is opt-in via --with-linkedin. Output -> recon/<target>/osint/. Usage /osint-employees <target.com> [--with-linkedin] [--with-pydictor-social]

Interactive knowledge graph analysis. Routes natural language questions to graph scripts, interprets results in domain vocabulary, and suggests concrete actions. Triggers on "/graph", "/graph health", "/graph triangles", "find synthesis opportunities", "graph analysis".

Show vault statistics and knowledge graph metrics. Provides a shareable snapshot of vault health, growth, and progress. Triggers on "/stats", "vault stats", "show metrics", "how big is my vault".

> Analyze and strengthen the knowledge graph in the Obsidian vault by finding missing connections between notes. Use when the user asks about links, relationships, or the vault's knowledge network. Triggers: "connect the notes", "find connections", "link analysis", "improve the graph", "what connections are missing", "network analysis", "strengthen links", "serendipity", "constellation", "bridge notes", "people network", "graph health", "collega le note", "trova connessioni", "migliora il grafo"

> Analyze and strengthen the knowledge graph in the Obsidian vault by finding missing connections between notes. Use when the user asks about links, relationships, or the vault's knowledge network. Triggers: "connect the notes", "find connections", "link analysis", "improve the graph", "what connections are missing", "network analysis", "strengthen links", "serendipity", "constellation", "bridge notes", "people network", "graph health", "collega le note", "trova connessioni", "migliora il grafo"

Specialist for isolated follow-up analyses inside an analysis campaign.

Use when structured numeric data, arrays, or CSV-like measurements should be turned into a publication-quality figure by adapting a bundled paper-style plotting template instead of improvising a new chart from scratch.

Baseline specialist for attach/import/reproduce/repair work.

Analyze a video or image file using Qwen Omni

Quantitative report auditor. Use PROACTIVELY whenever a Markdown report contains probability claims, EV calculations, pass-rate estimates, MC results, or backtest summaries. Catches probability stacking (1−(1−p)^N vs N×p), conditional-vs-marginal pass-rate confusion, percentage-vs-percentage-points mixups, bootstrap-with-replacement implications, EV-per-eval × N misuse, best-of-N selection bias, and sample-size red flags. Returns a structured P1/P2/P3 severity table.

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Compare stablecoin risk across multiple tokens

Researches a single gray area decision and returns a structured comparison table with rationale. Spawned by discuss-phase advisor mode.

Analyzes extracted session messages across 8 behavioral dimensions to produce a scored developer profile with confidence levels and evidence. Spawned by profile orchestration workflows.

Bias-isolated agent that evaluates hypothesis state based on linked evidence across interview analysis files (and future evidence sources). Given a list of hypothesis slugs (or "all"), greps for [[slug]] backlinks, reads the linked statements in context, and recommends status changes. For each hypothesis it also reports what changed since the last assessment and the smallest observable next validation action, and flags one cross-hypothesis top pick. Also synthesizes candidate new hypotheses from

Bias-isolated agent that reads a customer discovery interview transcript (or recollection) and produces a structured interview analysis file — extracted statements with hypothesis backlinks, plus technique feedback. Dispatched by the interviews skill. Does not evaluate hypothesis state or write to hypothesis files.

Search the KEGG bioinformatics database for pathways, genes, compounds, drugs, enzymes, or diseases

Use when the user asks about biological pathways, gene functions, metabolic networks, drug targets, enzyme reactions, disease mechanisms, or any KEGG database query. Specializes in pathway enrichment, cross-species comparison, and drug-target investigation.

Deep-dive into a KEGG pathway — genes, compounds, reactions, and ASCII visualization

Cross-platform ad budget optimization — reads Meta + Google Ads data, computes blended ROAS for top-line health plus segmented (brand/non-brand, prospecting/retargeting) ROAS, and recommends specific budget shifts.

Research synthesist specialist for multi-source deep dives -- web search, GitHub, prior art -- synthesized into structured briefings with citations. Use when a task requires wide-net research plus synthesis. Part of the operator-kit five-agent starter kit.

The Rookie of the product team. Junior PM energy. Asks about metrics, users, and the underlying "why" behind every feature. Not contesting, just making the decision explainable.

The Watcher of the product team. Data-minded thinker who sees second-order effects, weird user behaviors, and the metric gaming everyone else missed.

Revenue, billing, and credits analysis agent. Pulls real revenue data from Stripe (SaaS) and RevenueCat (mobile subs), queries AWS Cost Explorer for spend, and cross-references project revenue stages. Returns structured financial snapshot.

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General-purpose web research agent. Dispatched by the main agent to research a specific topic — competitor discovery, market analysis, source validation, or any information-gathering task. Returns a structured, source-cited summary. Use when the main agent needs to delegate a focused research task to avoid context bloat.

Financial analysis agent. Follows the money — AWS burn rate, runway, ROI on current work, credits expiry, cost anomalies. No optimism without data.

Create data pipeline and analytics architecture diagrams using PlantUML syntax with database/analytics stencil icons. Best for ETL pipelines, data lakes, real-time streaming, data warehousing, and BI dashboard design.

Create directed/undirected graphs using DOT language with automatic layout. Best for dependency trees, call graphs, package hierarchies, and module relationships requiring fine-grained edge routing.

Create data-driven charts with Vega-Lite (declarative) and Vega (programmatic). Best for statistical visualization of numeric data — bar, line, scatter, heatmap, area, radar charts, and word clouds.

Search arXiv physics, math, and computer science preprints using natural language queries. Powered by Valyu semantic search.

<!-- COPYRIGHT NOTICE This file is part of the "Universal Biomedical Skills" project. Copyright c 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu All Rights Reserved. This code is proprietary and confidential. Unauthorized copying of this file, via any medium is strictly prohibited. Provenance:

Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for literature reviews, evidence synthesis, and finding experimental details not available in abstracts alone.

<!-- COPYRIGHT NOTICE This file is part of the "Universal Biomedical Skills" project. Copyright c 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu All Rights Reserved. This code is proprietary and confidential. Unauthorized copying of this file, via any medium is strictly prohibited. Provenance:

Read, write, and convert multiple sequence alignment files using Biopython Bio.AlignIO. Supports Clustal, PHYLIP, Stockholm, FASTA, Nexus, and other alignment formats for phylogenetics and conservation analysis. Use when reading, writing, or converting alignment file formats.

Parse and analyze multiple sequence alignments using Biopython. Extract sequences, identify conserved regions, analyze gaps, work with annotations, and manipulate alignment data for downstream analysis. Use when parsing or manipulating multiple sequence alignments.

Calculate alignment statistics including sequence identity, conservation scores, substitution matrices, and similarity metrics. Use when comparing alignment quality, measuring sequence divergence, and analyzing evolutionary patterns.

Perform pairwise sequence alignment using Biopython Bio.Align.PairwiseAligner. Use when comparing two sequences, finding optimal alignments, scoring similarity, and identifying local or global matches between DNA, RNA, or protein sequences.