numpy
Best practices for numerical computing with NumPy including arrays, broadcasting, and vectorization.
Skills
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Updated 10-28 00:17
Data & analytics
17,069 results
nature-statistics
Implicit use requires an explicit or already-established Nature Portfolio context. Plan, audit, or revise manuscript statistical methods and reporting; when…
marketing-analytics-dpia
Guides DPIA for marketing profiling, behavioural targeting, cross-device tracking, and advertising analytics. Covers ePrivacy Directive Art. 5(3) cookie…
nigeria-ndpr
Nigeria Data Protection Regulation (NDPR) and Nigeria Data Protection Act (NDPA) 2023 compliance. Covers lawful basis for processing, data subject rights,…
personal-data-test
Classifies personal vs non-personal data per GDPR Art. 4(1) definition test with decision tree for borderline cases. References Breyer v Germany CJEU C-582/14…
pia-health-data
Conducts Privacy Impact Assessment for health data processing under GDPR Article 9, HIPAA, and sector-specific health privacy regulations. Covers special…
privacy-metrics-dashboard
Build privacy KPI dashboards tracking DSAR volume and response time, breach count and severity, DPIA completion rate, training coverage, and consent rates.…
state-law-applicability
US state privacy law applicability assessment tool. Evaluates revenue thresholds, data volume thresholds, business exemptions (GLBA, HIPAA, nonprofits),…
shannon-perspective
Analyze and solve problems with Shannon's information-theory mindset, a gift for simplifying the complex, and a spirit of creative play. Use when the user explicitly asks for this figure's perspective, mentions "shannon-perspective," or wants to apply his core methods to analyze a problem; do not trigger automatically for general questions.
odoo_upgrade_utils
Standard Odoo upgrade helpers for field/model renaming, XMLID management, and view patching. Essential for safe data migrations across Odoo versions.
db9
db9.ai serverless database for AI agents — Postgres-compatible with built-in embeddings, full-text search, vector search, and database branching. Use when the…
helicone
Helicone API for LLM observability — request logging, cost tracking, and performance analytics. Use when user mentions "Helicone", "LLM logs", "AI cost…
bie-data-engineer
BIE domain implementation from an approved model. Use when: implementing a BIE domain in Python, creating domain enums, identity vectors, bie_id creator…
infrahub-converting-netbox-device-types
Converts NetBox device-type and module-type definitions (the netbox-community devicetype-library format, also published via the NetBox Data Exchange / NDX)…
view-ach-deposits
Guide a developer through retrieving ACH deposit data from the Payroc Reporting API — listing deposits by date, retrieving a single deposit by ID, and listing…
posthog-analytics
Product analytics expert using PostHog MCP. Triggers on requests to understand user behavior, surface insights, create dashboards, analyze funnels, track…
nlp-processing
Text processing, sentiment analysis, LLMs, and NLP frameworks. Use for text classification, named entity recognition, or language models.
etl-tools
Apache Airflow, dbt, Prefect, Dagster, and modern data orchestration for production data pipelines
data-visualization
Guides data visualization design—chart type selection for message and audience, honest scales and labeling, color and accessibility, executive and operational…
predictive-analytics
Guides applied predictive analytics for business—target and leakage framing, tabular feature engineering, regression and classification models (baselines,…
sentiment-analysis-engineer
This skill should be used when the user asks to build or evaluate sentiment and opinion-mining systems—label schemas, lexicon/ML/transformer/LLM classifiers,…
gpd-metadata-sync
Sync and validate Google Play metadata, listings, and assets with gpd, including Fastlane-style workflows. Use when updating store listings or translations.
postgres-patterns
PostgreSQL database patterns for query optimization, schema design, indexing, and security.
data-scientist
Act as an end-to-end data scientist: turn business questions into defensible analysis, validated models, and decision-ready reports. Use whenever the user asks…