Results for “da”

Describe and summarize the current dataset in memory. Optionally inspect a specific variable with codebook.

Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.

Scrapes posts from any public Facebook Page timeline, returning structured data including post text, engagement metrics, reaction breakdowns, hashtags, external links, and media type. Supports date range filtering and cursor-based pagination.

Establishes recurring vulnerability scanning workflows using Nessus, Qualys, or OpenVAS, prioritizes findings with risk scoring and CISA KEV data, integrates with SIEM for exploitation detection, and tracks remediation via SLA-based dashboards and automated ticketing.

Audits and fixes technical SEO, on-page metadata, structured data, Core Web Vitals, llms.txt, and AI-search optimization for ChatGPT, Perplexity, and AI Overviews, including E-E-A-T signals and programmatic SEO.

Perform fast genomic interval operations (overlap, nearest, merge, coverage, cluster, complement, subtract, count-overlaps), multi-format bioinformatics I/O, DataFusion SQL, and pileup on Polars DataFrames via the polars-bio library, serving as a scalable alternative to bioframe and bedtools.

Connects AI assistants to the Hugging Face Hub via MCP server tools to search models, datasets, Spaces, and papers, retrieve repository details and documentation, run compute jobs, and use Gradio Spaces as AI tools.

Daily customer health scoring across the active book of business. Pulls usage signals from PostHog and subscription state from Stripe, scores each active customer per the brand's customer-success playbook, updates the Notion customer DB, and Slack-alerts on at-risk transitions. Runs daily on cron schedule.

Use for writing, reviewing, debugging, or testing static Python visualization with Matplotlib, including Figure, Axes, Axis, Artist, transforms, layouts, dates, categorical scales, annotations, color normalization, image export, and headless rendering. Do not use for Plotly interactivity, Altair/Vega-Lite specifications, dashboard state, or analysis without a Matplotlib artifact.

Use for writing, reviewing, debugging, migrating, or testing SQLAlchemy 2.x Core or ORM code involving Engine, Connection, Session, mapped models, select statements, transactions, pooling, results, loading, or AsyncSession. Do not use for raw database SQL with no SQLAlchemy boundary, Alembic migration design, DuckDB relations, or database administration.

Supabase administration, RLS policies, migrations, and schema design. Use for database architecture, Row Level Security, performance tuning, auth integration. Activate on "Supabase", "RLS", "migration", "policy", "schema", "auth.uid()". NOT for Supabase Auth UI configuration (use dashboard), edge functions (use cloudflare-worker-dev), or general SQL without Supabase context.

Expert DevOps engineer for CI/CD, IaC, Kubernetes, and deployment automation. Activate on: CI/CD, GitHub Actions, Terraform, Docker, Kubernetes, Helm, ArgoCD, GitOps, deployment pipeline, infrastructure as code, container orchestration. NOT for: application code (use language skills), database schema (use data-pipeline-engineer), API design (use api-architect).

Redige a acao revisional de contrato civil — revisao por desproporcao manifesta superveniente (CC 317), resolucao/revisao por onerosidade excessiva (CC 478-480), sempre nos limites da funcao social e da intervencao minima (CC 421 + 421-A, Lei 13.874/2019 — contratos presumidos paritarios) e da boa-fe objetiva (CC 422). NAO cobre revisional bancaria. Use quando o operador disser revisar contrato, acao revisional, onerosidade excessiva, reequilibrio contratual, clausula abusiva em contrato civil, ou rever os termos de um contrato civel.

When the user wants to add, fix, or optimize schema markup and structured data on their site. Also use when the user mentions "schema markup," "structured data," "JSON-LD," "rich snippets," "schema.org," "FAQ schema," "product schema," "review schema," "breadcrumb schema," "Google rich results," "knowledge panel," "star ratings in search," or "add structured data." Use this whenever someone wants their pages to show enhanced results in Google. For broader SEO issues, see seo-audit. For AI search optimization, see ai-seo.

Builds INTERACTIVE charts with the Plotly Python library (plotly.express / graph_objects) — hover tooltips, zoom/pan, animations, rangesliders, 3D rotation, and standalone HTML/web-embeddable output. Use when a chart must be interactive or web-embedded, for dashboards (incl. Dash), exploratory data analysis, or rotatable 3D plots. For static publication figures defer to alterlab-matplotlib; for static statistical charts (heatmaps, distributions) defer to alterlab-seaborn; for diagrams/schematics defer to alterlab-scientific-viz. Part of the AlterLab Academic Skills suite.

Guides vertical scaling decisions for Qdrant vector databases, covering when to scale up, how to resize nodes in Qdrant Cloud or self-hosted deployments, RAM sizing formulas, and when to switch to horizontal scaling.

Delivers a daily DeFi regime verdict (RISK-ON/NEUTRAL/RISK-OFF) from five named inputs, top TVL movers with causal reasoning, and a sustainable-vs-incentive yield split to distinguish real product-market fit from emissions-pumped APY.

Produces HTML-first visual design deliverables such as interactive prototypes, slide decks, motion demos, infographics, dashboards, landing pages, whitepapers, changelogs, business cards, social covers, and brand systems, with optional export to MP4, GIF, PPTX, PDF, or SVG.

Kit de ferramentas CLI/Python para consultas rápidas de bioinformática. Preferido para buscas BLAST rápidas. Acesso a 20+ bancos de dados: informações de genes (Ensembl/UniProt), AlphaFold, ARCHS4, Enrichr, OpenTargets, COSMIC, downloads de genoma. Para BLAST avançado/processamento em lote, use biopython. Para integração multi-banco de dados, use bioservices.

AI Personal Assistant network skill for multi-agent PA coordination. Use when: contacting another PA, coordinating with peer agents, scheduling meetings between owners, broadcasting messages to PA groups, or looking up contacts from the local PA directory. Reads contact data from data/pa-directory.json in the workspace.

When the user wants to add, fix, or optimize schema markup and structured data on their site. Also use when the user mentions "schema markup," "structured data," "JSON-LD," "rich snippets," "schema.org," "FAQ schema," "product schema," "review schema," or "breadcrumb schema." For broader SEO issues, see seo-audit.

Generate structured data markup (JSON-LD) for rich results, AI search visibility, and enhanced SERP features. Supports Article, FAQ, HowTo, Product, Review, LocalBusiness, Event, BreadcrumbList, Person, Organization, and more. Use when the user needs schema markup, structured data, rich snippets, JSON-LD, or wants to improve search appearance.

Guides configuring connection pooling for Postgres to prevent connection exhaustion under load.

Complete PortSwigger deep-dive with exact payloads for every lab variant including zero-day techniques

Complete PortSwigger deep-dive with exact payloads for every lab variant including zero-day techniques

Complete PortSwigger deep-dive with exact payloads for every lab variant including zero-day techniques

Complete PortSwigger deep-dive with exact payloads for every lab variant including zero-day techniques

Complete PortSwigger deep-dive with exact payloads for every lab variant including zero-day techniques

Generate GPT API request payloads. Use when building chat completions, embeddings, fine-tuning data, or estimating API costs.

Analyze AI disruption pressure across a business, map competitive exposure, and produce a 90-day defensive action plan.

QA a completed analysis for methodology, accuracy, and bias before it is shared, shipped, or acted on.

Monitor a live model for data quality, input and prediction drift, performance decay, and fire retraining triggers.

Start an autonomous experiment loop with user-selected interval (10min, 1h, daily, weekly, monthly). Uses CronCreate for scheduling.

Start an autonomous experiment loop with user-selected interval (10min, 1h, daily, weekly, monthly). Uses CronCreate for scheduling.

Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.

Elite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems.