Results for “redis-py”

Query, inspect, and manage Redis databases from the command line using redis-cli, covering connection, data operations, scanning, and server diagnostics.

Designs Redis caching strategies with key patterns, TTL policies, and eviction configurations

Indexes document metadata in SQLite and manages ephemeral key-value state in Redis for cross-session context.

Debug Python: pdb REPL + debugpy remote (DAP).

DSPy: declarative LM programs, auto-optimize prompts, RAG.

Biblioteca Python para trabalhar com arquivos DICOM (Digital Imaging and Communications in Medicine). Use essa skill ao ler, escrever ou modificar dados de imagens médicas em formato DICOM, extrair dados de pixel de imagens médicas (TC, RM, Raio-X, ultrassom), anonimizar arquivos DICOM, trabalhar com metadados e tags DICOM, converter imagens DICOM para outros formatos, processar dados DICOM comprimidos ou processar conjuntos de dados de imagens médicas. Aplica-se a tarefas envolvendo análise de imagens médicas, sistemas PACS, fluxos de trabalho de radiologia e aplicações de imagem médica.

Generates type-safe, async-first Python 3.11+ code with full type annotations, mypy strict mode, pytest test suites, and validation via black and ruff.

Manage schemas, subjects, compatibility levels, modes, and contexts in the Redpanda Schema Registry via the rpk registry CLI. Register or fetch Avro, Protobuf, and JSON schemas, set compatibility levels, change registry mode, and work with schema contexts.

DSPy: declarative LM programs, auto-optimize prompts, RAG.

Redis caching, sessions, and queue driver in WordPress via Acorn — lando redis-cli, Cache::remember(), Cache::tags(), cache invalidation, WP object cache drop-in, wp_cache_set, wp_cache_get, Redis facade, session driver redis, REDIS_HOST, REDIS_PORT, Lando Redis service, predis, phpredis, queue connection redis, cache tags group invalidation, WP transient replacement, cache hit rate, lando wp cache type, object-cache.php drop-in

GPU-accelerate Python code using CuPy, Numba CUDA, Warp, cuDF, cuML, cuGraph, and other RAPIDS libraries for dramatic speedups on numerical, data, ML, graph, and simulation workloads.

Caching strategies across the RAG stack. Semantic caching with GPTCache and LangChain, Redis-based embedding-similarity cache, cache key design, TTL/invalidation, partial caching (cache retrieval only), provider-native prompt caching (Anthropic, OpenAI), and hierarchical L1/L2 caches. USE WHEN: user mentions "semantic cache", "GPTCache", "LLM cache", "prompt caching", "Redis vector cache", "cache invalidation for RAG", "reduce LLM cost", "latency reduction LLM" DO NOT USE FOR: retrieval accuracy - use `rag-patterns`; groundedness checks - use `rag-guardrails`; incremental indexing - use `rag-production`

Build real-time communication systems with WebSockets or Socket.IO, including bidirectional messaging, horizontal scaling with Redis, presence tracking, and room management.

Manage public/private repository pairs. Verify parity, detect drift, run sync scripts, and validate no sensitive data leaks to the public repo. Use for projects that maintain separate dev and public repositories.

Read, write, and modify DICOM medical imaging files, including pixel data extraction, anonymization, format conversion, and compression handling.

Crea y gestiona entornos Python reproducibles con venv, pip, Poetry o Conda, aislando dependencias y configurando variables de entorno para evitar conflictos.

Operate a self-managed Redpanda broker process and node from the CLI using the `rpk redpanda` command family and `rpk iotune`: node lifecycle (start/stop), production vs. development mode, kernel autotuning, node configuration (redpanda.yaml), and per-node Admin API operations including broker.

Provides a repeatable, auditable workflow for large coding tasks by initializing repo-local task artifacts, installing subagent templates, and running a spec-freeze → build → evidence → verify → fix loop with fresh-session verification.

Manage Redpanda topics and produce or consume records from the CLI using the `rpk topic` command group. Use when creating or deleting topics with custom partitions, replication, or configs; altering topic configs or retention; adding partitions; trimming or deleting records; or using `rpk topic produce`/`consume` with.

Provisions and manages Redpanda Cloud Serverless clusters via the public Control Plane API, including authentication, cluster lifecycle, and data-plane operations.

Scores deal margin and risk, routes discount approval to the right human approver, and redlines terms against commercial policy for per-deal review.

Reviews an academic paper using the NeurIPS review form with three reviewer personas, ensemble scoring, and reflection refinement. Extracts text from PDF, runs structured review, and outputs actionable feedback.

Read, write, and manipulate DICOM medical imaging files, including pixel data extraction, metadata editing, anonymization, format conversion, and compression handling.

Manage Prismic headless CMS operations: query documents, search content, retrieve custom types, and manage repository refs through the Composio Prismic integration.

Reads brand identity, ICP, and messaging files to produce on-brand social video with storyboard, reference images, and Seedance 2.0-optimized prompts.

Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.

Use the status-briefing skill to run `pk-reconcile session-start`, then

Install the rpk CLI on macOS, Linux, or Docker, and configure profiles, connection settings, SASL/TLS credentials, and Enterprise licenses for Redpanda clusters.

Use for writing, reviewing, debugging, or testing Python terminal presentation built with Rich, including Console streams, Text and markup safety, tables, trees, panels, progress, status, Live displays, render protocols, and deterministic output capture. Do not use for CLI argument parsing, structured logging design, browser UI, or machine-readable protocol output that must remain plain.

Build streaming data pipelines with Redpanda Connect using declarative YAML configs, Bloblang mappings, and component discovery. Covers running, linting, and dry-running pipelines.

Analyze proteomics and metabolomics mass spectrometry data with PyOpenMS: read/write MS file formats, process spectra, detect and quantify features, identify peptides and proteins, and run end-to-end LC-MS/MS pipelines using ready-to-run scripts.

Apply image blur effects and privacy masks using Python PIL processing. Use when you need to blur, redact faces, or mask sensitive regions in images.

DSPy: declarative LM programs, auto-optimize prompts, RAG.

Debug Python code interactively with pdb and debugpy, covering local breakpoints, post-mortem analysis, and remote attachment to running processes.