Data & Analytics

mittuled Bundle

This skill selects the customer cohort for new feature rollouts and beta programmes based on health and fit. Use when asked to choose beta customers, select rollout cohorts, or identify customers for early access. Also consider when product is planning a phased release. Suggest when the user rolls out features to all customers simultaneously without cohort selection.

mittuled Bundle

This skill selects the user cohort for a controlled rollout based on risk profile and representativeness. Use when a feature is ready for rollout and the team needs to define which users receive it first. Also consider when a rollout plan lacks a clear cohort definition or when past rollouts hit unexpected segments. Suggest when a launch is being planned and no cohort selection criteria have been discussed.

mittuled Bundle

This skill designs iterations on shipped features based on post-launch user feedback and session data. Use when asked to redesign a shipped interaction, improve a live feature based on analytics, or address usability issues found in session recordings. Also consider when session analysis findings need to be turned into concrete design changes. Suggest when post-launch metrics show degraded task completion or increased error rates.

mittuled Bundle

This skill sets up and configures the financial systems stack including ERP, expense management, and billing. Use when asked to implement a new accounting system, set up billing automation, or configure the chart of accounts. Also consider when the company outgrows spreadsheet-based accounting. Suggest when the user is scaling without proper financial systems infrastructure.

mittuled Bundle

This skill designs the data warehouse schema including tables, partitions, and relationships using dimensional modeling techniques. Use when asked to design a star schema, define fact and dimension tables, or plan warehouse partitioning. Also consider when query performance degrades due to schema design. Suggest when the user is about to load data without a target schema design.

xalgord Skill

Implement User and Entity Behavior Analytics using Elasticsearch/OpenSearch to build behavioral baselines, calculate anomaly scores, perform peer group analysis, and detect insider threat indicators such as data exfiltration, privilege abuse, and unauthorized access patterns.

xalgord Skill

Tests APIs for injection vulnerabilities including SQL injection, NoSQL injection, OS command injection, LDAP injection, and Server-Side Request Forgery (SSRF) through API parameters, headers, and request bodies. The tester crafts malicious payloads targeting different backend technologies and injection contexts to extract data, execute commands, or access internal services. Maps to OWASP API8:2023 Security Misconfiguration and API7:2023 SSRF. Activates for requests involving API injection testing, SQLi in APIs, NoSQL injection, SSRF testing, or API input validation assessment.

xalgord Skill

Build network traffic baselines from NetFlow/IPFIX data using Python pandas for statistical analysis, z-score anomaly detection, and hourly/daily traffic pattern profiling

xalgord Skill

Investigates insider threat incidents involving employees, contractors, or trusted partners who misuse authorized access to steal data, sabotage systems, or violate security policies. Combines digital forensics, user behavior analytics, and HR/legal coordination to build an evidence-based case. Activates for requests involving insider threat investigation, employee data theft, privilege misuse, user behavior anomaly, or internal threat detection.

ulpi-io Skill

When the user wants to track AI search traffic in GA4 or GSC. Also use when the user mentions "AI traffic," "ChatGPT referral," "Perplexity traffic," "AI Overviews," "GA4 AI sources," "AI search analytics," "track AI referrals," "AI search traffic," "Claude traffic," or "how to track AI traffic."

ulpi-io Bundle

Vercel observability for Web Analytics, Speed Insights, logs, tracing, alerts, and observability tooling. Use when monitoring performance or debugging production behavior on Vercel.

agents-store Bundle

This skill should be used when exporting transaction data to CSV or PDF, generating financial reports for a date range, or configuring report layout and format options. Relevant for queries like "export my transactions to CSV", "generate a PDF report for last quarter", "export 90 days of data", or "create a monthly financial report". Use this skill whenever the user wants to export, download, save, or generate any file from their financial data — CSV, PDF, report, or statement.

agents-store Skill

Import data into NocoDB tables and export records out. Use when: - "import CSV into NocoDB" - "load data into this table" - "bulk create records" - "export records to CSV" - "migrate data between tables" - "import JSON data" - "extract all records" - "download table data"

agents-store Bundle

This skill should be used when the user asks "what SQL type for", "which column type", "NocoDB column types", "NocoBase field types", "type compatibility", "how to store email/url/phone/json/rating", "what type for currency", "decimal vs double", or needs to choose the correct PostgreSQL type that works in both NocoDB and NocoBase.

xalgord Skill

This skill covers hardening and securing process historian servers (OSIsoft PI, Honeywell PHD, GE Proficy, AVEVA Historian) in OT environments. It addresses network placement across Purdue levels, access control for historian interfaces, data replication through DMZ using data diodes or PI-to-PI connectors, SQL injection prevention in historian queries, and integrity protection of process data used for safety analysis, regulatory reporting, and process optimization.

xalgord Skill

Automate GoPhish phishing simulation campaigns using the Python gophish library. Creates email templates with tracking pixels, configures SMTP sending profiles, builds target groups from CSV, launches campaigns, and analyzes results including open rates, click rates, and credential submission statistics for security awareness assessment.

xalgord Skill

Bypass Web Application Firewall protections using encoding techniques, HTTP method manipulation, parameter pollution, and payload obfuscation to deliver SQL injection, XSS, and other attack payloads past WAF detection rules.

mkurman Skill

QuantLib Python bindings for quantitative finance. Pricing and risk analytics for fixed income, equity, FX, credit derivatives, and structured products. Yield curves, options, swaps, bonds, and Monte Carlo simulation.

mkurman Bundle

GPU-accelerate Python code using CuPy, Numba CUDA, Warp, cuDF, cuML, cuGraph, KvikIO, cuCIM, cuxfilter, cuVS, cuSpatial, and RAFT. Use whenever the user mentions GPU/CUDA/NVIDIA acceleration, or wants to speed up NumPy, pandas, scikit-learn, scikit-image, NetworkX, GeoPandas, or Faiss workloads. Covers physics simulation, differentiable rendering, mesh ray casting, particle systems (DEM/SPH/fluids), vector/similarity search, GPUDirect Storage file IO, interactive dashboards, geospatial analysis, medical imaging, and sparse eigensolvers. Also use when you see CPU-bound Python code (loops, large arrays, ML pipelines, graph analytics, image processing) that would benefit from GPU acceleration, even if not explicitly requested.

mkurman Skill

Multi-source financial data reader: FRED, World Bank, OECD, Eurostat, St. Louis Fed, Yahoo, Google, and more. Standard interface for economic and financial time series data ingestion.

mkurman Bundle

Zero-shot time series forecasting with Google's TimesFM foundation model. Use for any univariate time series (sales, sensors, energy, vitals, weather) without training a custom model. Supports CSV/DataFrame/array inputs with point forecasts and prediction intervals. Includes a preflight system checker script to verify RAM/GPU before first use.

mkurman Bundle

Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.

mkurman Bundle

Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.

mkurman Bundle

When the user wants to create, plan, or optimize a lead magnet for email capture or lead generation. Also use when the user mentions "lead magnet," "gated content," "content upgrade," "downloadable," "ebook," "cheat sheet," "checklist," "template download," "opt-in," "freebie," "PDF download," "resource library," "content offer," "email capture content," "Notion template," "spreadsheet template," or "what should I give away for emails." Use this for planning what to create and how to distribute it. For interactive tools as lead magnets, see free-tool-strategy. For writing the actual content, see copywriting. For the email sequence after capture, see email-sequence.

mkurman Bundle

Use this skill when measuring CSAT, NPS, resolution time, deflection rates, or analyzing support trends. Triggers on CSAT, NPS, resolution time, deflection rate, support metrics, trend analysis, support reporting, and any task requiring customer support data analysis or reporting.

ulpi-io Skill

Smoke test for alicloud-data-analytics-dataanalysisgbi. Validate minimal authentication, API reachability, and one read-only query path.

agents-store Bundle

This skill should be used when generating analytical financial reports — spending by category, income vs expenses, period comparisons, or spending trends across all connected banks. Use this skill whenever the user asks for a financial summary, analytics, spending breakdown, income report, period comparison, or any aggregated view of their financial data, even if they just say "where does my money go" or "скільки я витратив цього місяця".

agents-store Skill

This skill should be used when the user wants to "query PostgreSQL directly", "use PostgREST API", "make REST calls to PostgreSQL", "use postgresql-mcp tools", "run SQL via MCP", "check database status", "inspect database schema", "analyze query performance", or needs to perform direct database operations via PostgreSQL MCP tools or PostgREST REST API in the Composable Stack.

mkurman Bundle

Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.

mkurman Skill

OHDSI (Observational Health Data Sciences and Informatics) OMOP Common Data Model. Tools for converting EHR data to OMOP CDM, running cohort analyses, and population-level estimation. Standard for observational research.

mkurman Skill

ESG (Environmental, Social, Governance) reporting and analytics. SASB, TCFD, GRI, and CDP frameworks. Carbon accounting, supply chain sustainability, diversity metrics, and regulatory disclosure support.

kunanonj Skill

Guides agents through the 3-step experiment creation flow: defining the hypothesis, configuring rollout, and setting up analytics. Delegates rollout decisions to configuring-experiment-rollout and metric setup to configuring-experiment-analytics. TRIGGER when: user asks to create a new experiment or A/B test, OR when you are about to call experiment-create. DO NOT TRIGGER when: user is updating an

kunanonj Skill

MongoDB schema design patterns and anti-patterns. Use when designing data models, reviewing schemas, migrating from SQL, or troubleshooting performance issues caused by schema problems. Triggers on \"design schema\", \"embed vs reference\", \"MongoDB data model\", \"schema review\", \"unbounded arrays\", \"one-to-many\", \"tree structure\", \"16MB limit\", \"schema validation\", \"JSON Schema\", \

kunanonj Skill

Required reading before writing any HogQL/SQL or calling execute-sql against PostHog. Use whenever the user wants to search, find, or do complex aggregations PostHog entities (insights, dashboards, cohorts, feature flags, experiments, surveys, hog flows, data warehouse, persons, etc.) and query analytics data (trends, funnels, retention, lifecycle, paths, stickiness, web analytics, error tracking,

kunanonj Skill

> General Signals scout for PostHog projects. Cross-product explorer that scans a team's project and emits findings into the Signals inbox. Sibling specialists (signals-scout-ai-observability, -logs, -error-tracking, -revenue-analytics, -surveys, -observability-gaps, -csp-violations, -anomaly-detection) cover individual product surfaces; this scout looks for cross-product correlations and explores what specialists don't cover. Each scout runs on its own schedule (default hourly), so general fires independently of the specialists over time.

kunanonj Skill

Inspects PostHog Web analytics Live tab data — current users online, last-30-minutes pageviews, top pages, referrers, devices, browsers, countries, bot traffic, and the per-minute bot/users charts. Use when the user asks \"who is on my site right now?\", \"what is happening live?\", \"what bots are crawling me?\", asks about the \"live tab\" / \"live dashboard\", wants live numbers (last 30 min),