Results for “art”

Triages and enriches indicators of compromise (IPs, domains, file hashes, URLs, email artifacts) from phishing emails, security alerts, or threat feeds, assigning confidence scores and dispositions using VirusTotal, AbuseIPDB, MalwareBazaar, and MISP.

Perform forensic acquisition and analysis of cloud storage services including Google Drive, OneDrive, Dropbox, and Box by collecting both API-based remote data and local sync client artifacts from endpoint devices.

Compresses AI agent output tokens by up to 65% using a terse, article-free communication style while preserving full technical accuracy. Supports multiple intensity levels and auto-disables for security warnings or ambiguous instructions.

Use to convert references to PNAS's numbered citation style — cited in order of appearance, a numbered reference list, full author lists, abbreviated journal titles. Provides formats for article/book/chapter/dataset/preprint and an author-date → PNAS conversion table. Late-stage style pass.

Generates game-ready sprite bundles from a text description, including character animations, 8-direction sprite sets, and exports to sprite sheets, manifest.json, Aseprite JSON, GIF/APNG, and individual PNG frames.

Analisa alterações staged/unstaged e cria commits convencionais semânticos com contexto sobre POR QUÊ, não apenas O QUÊ. Detecta automaticamente tipo e escopo do commit a partir do diff. Suporta argumentos opcionais de tipo/escopo. Uso - /commit-smart, /commit-smart fix, /commit-smart refactor api

Use quando o usuário solicitar explicitamente uma captura de tela do desktop ou do sistema (tela cheia, app ou janela específica, ou região de pixels), ou quando as capacidades de captura específicas da ferramenta não estiverem disponíveis e uma captura de nível de SO for necessária.

Toolkit de alta performance para análise de intervalos genômicos em Rust com bindings Python. Use ao trabalhar com regiões genômicas, arquivos BED, tracks de cobertura, detecção de sobreposições, tokenização para modelos de ML, ou análise de fragmentos em genômica computacional e aplicações de aprendizado de máquina.

Implementation guide for GDPR Article 7(3) consent withdrawal mechanisms. Covers the equal ease requirement ensuring withdrawal is as easy as giving consent, one-click withdrawal implementation, cascading effects on downstream processing, third-party notification workflows, and technical architecture for real-time consent revocation.

Technical architecture guide for building a multi-purpose consent preference center. Covers per-purpose granularity, easy withdrawal under Article 7(3), version history, audit trails, and IAB Transparency and Consent Framework v2.2 integration. Includes database schema, API design, and UI component specifications.

Use this skill when designing, reviewing, migrating, or debugging MCP Apps / SEP-1865 interactive UI resources for MCP servers, including dashboards, forms, visualizations, tool-driven workflows, OpenAI Apps SDK migration, MCP-UI compatibility, sandboxing, host support, security review, provenance, and fallback UX.

Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval. Supports multilingual, domain-specific, and multimodal models. Use for generating embeddings for RAG, semantic search, or similarity tasks. Best for production embedding generation.

Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval. Supports multilingual, domain-specific, and multimodal models. Use for generating embeddings for RAG, semantic search, or similarity tasks. Best for production embedding generation.

Detect model stealing, model inversion, and membership inference performed through inference-API abuse by monitoring query patterns, applying output perturbation, and red-teaming your own model's extractability.

Ingests music into a LanceDB via ncmdump-rs and sf-cli, searching and downloading from Netease Cloud Music or Bilibili, decrypting local NCM files, and extracting metadata, lyrics, and cover art.

Evaluates the trade-off between file size reduction and image fidelity when encoding radio astronomy data using JPEG2000, benchmarking both lossless and lossy compression modes to determine the compression ratio at which visual artifacts first appear.

Use when auditing an ESEC/FSE research-track submission for HotCRP readiness, covering the mandatory paper-registration step, the ACM Primary Article Template page budget, double-anonymous "heavy" anonymity, the open-science Data Availability statement, PACMSE publication, and desk-reject triage before the AoE cutoff.

Use when planning or managing a full OSDI cycle — the December title-registration and submission deadlines on HotCRP, the silent no-rebuttal review window, March notification, the May artifact deadline, June shepherded final papers, and the July conference — including rejection retargeting to SOSP or NSDI.

Use for designing, auditing, or refactoring a GitHub Copilot customization system in Visual Studio Code across instructions, prompt files, Agent Skills, custom agents, hooks, MCP servers, and plugins. Do not use merely to author one already-selected artifact or configure unrelated VS Code settings.

Artistic, research-grounded UI enhancement for making an existing page feel intentional, spacious, and human-crafted. Use when "make this page nicer/polished/premium/editorial", less crowded, better laid out, typography, or visual hierarchy. Flows/AI-templated UX → enhance-web-ux. Layout contract → audit-responsive.

Implements any user intent, requirement, story, bug fix or change request by producing clean working code artifacts that follow the project's existing architecture, patterns and conventions. Use when the user wants to build, fix, tweak, refactor, add or modify any code, component or feature.

Generates a post-release blameless retrospective from project signals — synthesizing DORA-like metrics, WorkItem outcomes, session timeline, and drift deltas into a structured Artifact + LogEntry. Use at the end of a release cycle when asked to run a retro, "post-release review", "retrospective", or "post-mortem".

Write end-user documentation including tutorials, how-to guides, walkthroughs, onboarding flows, and feature documentation. Use when creating documentation for non-technical or semi-technical end users. Also trigger for 'user guide', 'tutorial', 'how-to', 'walkthrough', 'onboarding docs', 'help article', 'user manual', or 'getting started guide'.

Generates integration test cases for .NET data access artifacts during Oracle-to-PostgreSQL database migrations, producing DB-agnostic xUnit tests with deterministic seed data that validate behavior consistency across both database systems.

Use for creating, reviewing, debugging, or testing dbt SQL projects involving models, sources, ref, tests, macros, materializations, incremental models, snapshots, seeds, selectors, compiled SQL, or dbt artifacts. Do not use for generic SQL with no dbt graph, warehouse administration, semantic-layer product configuration, or orchestration outside dbt.

Run STORM phase 2 — outline generation. This skill should be used when the user asks to "generate an outline for a storm article", "draft a wikipedia-style outline", or invokes /storm:outline. Produces a draft outline from parametric knowledge then refines it using the research information table.

Design and run a k6/Artillery load profile that measures throughput, latency percentiles, error rate, and the breaking point under concurrent traffic. Use when "load test this", "will it handle launch traffic", or "find the breaking point". Resilience-by-reading-code → audit-resilience. Never hit prod unsigned.

Automates GDPR Data Subject Access Request (DSAR) workflows including identity verification, PII discovery across databases and files using regex and NER, data mapping, response templating per Article 15 requirements, deadline tracking, and audit logging.

Use when auditing a KDD submission for readiness in either cycle, covering Research vs ADS track declaration, OpenReview profile completeness for all authors, the ACM sigconf 8-content-page budget, double-blind checks, in-paper artifact references, resubmission declarations, and desk-reject triggers specific to ACM SIGKDD.

Use when planning an NSDI campaign across the spring and fall deadlines — sequencing abstract and paper gates, notification waits, one-shot revision windows, artifact evaluation, and the May symposium — so a networked-systems project always knows which of the two yearly gates it is really building toward.

Kit de ferramentas de quiminformática para controle molecular refinado. Análise de SMILES/SDF, descritores (MW, LogP, TPSA), fingerprints, busca de subestruturas, geração 2D/3D, similaridade, reações. Para fluxos de trabalho padrão com interface mais simples, use datamol (wrapper do RDKit). Use rdkit para controle avançado, sanitização customizada, algoritmos especializados.

Gerenciar deployments do Railway - visualizar logs, reimplementar, reiniciar ou remover deployments. Use para ciclo de vida de deployment (remover, parar, reimplementar, reiniciar), visibilidade de deployment (listar, status, histórico) e troubleshooting (logs, erros, falhas, travamentos). NÃO é para deletar serviços - use a skill railway-environment com isDeleted para isso.

Guides compliance with country-specific data localization requirements across key jurisdictions including Russia (242-FZ), China (PIPL Art. 40, CAC measures), India (DPDP Act), Turkey, Vietnam, and Indonesia. Covers localization assessment, architecture design, and exemption procedures. Keywords: data localization, data residency, PIPL, 242-FZ, cross-border restrictions.

Auditoria leitora estrita. Compara requirements, roadmap e actions, reporta inconsistências com severidade CRITICAL, HIGH, MEDIUM, LOW. JAMAIS altera os artefatos analisados. Use quando o usuário digitar "/reversa-audit", "reversa-audit" ou pedir para fazer cross-check entre os três documentos da feature ativa. Etapa opcional do ciclo forward.

Ultra-compressed communication mode. Cuts token usage ~75% by dropping filler, articles, and pleasantries while keeping full technical accuracy. Use when user explicitly says "caveman mode", "talk like caveman", "use caveman", "less tokens", or "/caveman". Do NOT trigger on generic brevity requests like "be brief" or "keep it short".

Analyzes the design language of Nintendo.com from 2001, documenting its brushed-periwinkle chrome interface, beveled metal plates, chamfered panel geometry, carbon-navy command layer, rationed warm accents, photographic hero fields, and box-art typography.