DevOps & Infra

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Skills del sistema Mastermind - agente principal, dashboards, deploy, voz, APIs y automatización para Ntizar.

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Flujo completo de trabajo con GitHub: autenticación, gestión de repos, PR lifecycle, code review, issues, knowledge repo como base de conocimiento persistente, deploy estático en Pages, y recuperación de repos corruptos.

ntizar Skill

Patrones de infraestructura para aplicaciones Node.js en producción — cliente HTTP resiliente, cache multicapa, validación de config, health checks, seguridad Helmet/CORS y Docker multistage.

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Patrones operativos de DevOps: deploy en NaN.builders (502, cache, env vars), cron jobs con scripts (no_agent=True), pipeline de digest estático, y GitHub Pages deployment. Todo para mantener apps en producción.

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Pipeline para crear notas técnicas profundas (15-30KB) sobre temas de deep learning. Incluye investigación, implementación práctica con código, y referencias a papers. Se ejecuta como cron diario.

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Procedimiento de deploy de proyectos Node.js en NaN.builders — Dockerfile, Kaniko, variables de entorno, puertos y troubleshooting.

ntizar Skill

Parseo inteligente de páginas web y documentos para pipelines LLM con estructura semántica — extracción de contenido estructurado.

ntizar Skill

Manage Docker containers, images, volumes, networks, and Compose stacks — lifecycle ops, debugging, cleanup, and Dockerfile optimization.

ntizar Bundle

Pipeline nocturno que explora las stars de GitHub de David, analiza repos, extrae patrones y crea skills automáticamente. Cada run procesa un batch de repos, genera análisis profundo, y propone skills basados en los patrones detectados.

marielynneblock Bundle

Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, hyperspectral), vector and raster data operations, spatial statistics, point cloud processing, network analysis, cloud-native workflows (STAC, COG, Planetary Computer), and 8 programming languages (Python, R, Julia, JavaScript, C++, Java, Go, Rust) with 500+ code examples. Use for remote sensing workflows, GIS analysis, spatial ML, Earth observation data processing, terrain analysis, hydrological modelling, marine spatial analysis, atmospheric science, and any geospatial computation task.

marielynneblock Bundle

High-performance genomic interval operations and bioinformatics file I/O on Polars DataFrames. Overlap, nearest, merge, coverage, complement, subtract for BED/VCF/BAM/GFF intervals. Streaming, cloud-native, faster bioframe alternative.

marielynneblock Bundle

Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.

marielynneblock Bundle

Apply GDPR-compliant engineering practices across your codebase. Use this skill whenever you are designing APIs, writing data models, building authentication flows, implementing logging, handling user data, writing retention/deletion jobs, designing cloud infrastructure, or reviewing pull requests for privacy compliance. Trigger this skill for any task involving personal data, user accounts, cookies, analytics, emails, audit logs, encryption, pseudonymization, anonymization, data exports, breach response, CI/CD pipelines that process real data, or any question framed as "is this GDPR-compliant?". Inspired by CNIL developer guidance and GDPR Articles 5, 25, 32, 33, 35.

marielynneblock Bundle

Write comprehensive clinical reports including case reports (CARE guidelines), diagnostic reports (radiology/pathology/lab), clinical trial reports (ICH-E3, SAE, CSR), and patient documentation (SOAP, H&P, discharge summaries). Full support with templates, regulatory compliance (HIPAA, FDA, ICH-GCP), and validation tools.

marielynneblock Bundle

Submit and manage protocols on Ginkgo Bioworks Cloud Lab (cloud.ginkgo.bio), a web-based interface for autonomous lab execution on Reconfigurable Automation Carts (RACs). Use when the user wants to run cell-free protein expression (validation or optimisation), generate fluorescent pixel art, or interact with Ginkgo Cloud Lab services. Covers protocol selection, input preparation, pricing, and ordering workflows.

marielynneblock Skill

Create and synchronise prompt-based AI agents directly within Azure AI Foundry via REST API, from a local JSON manifest. Unlike scaffolding skills that only generate local code, this skill registers agents in the Foundry service itself — making them immediately available for invocation. Use when the user asks to create agents in Foundry, sync, deploy, register, or push agents to Foundry, update agent instructions, or scaffold the manifest and sync script for a new repository. Triggers: 'create agent in foundry', 'sync foundry agents', 'deploy agents to foundry', 'register agents in foundry', 'push agents', 'create foundry agent manifest', 'scaffold agent sync'.

marielynneblock Bundle

DNAnexus cloud genomics platform. Build apps/applets, manage data (upload/download), dxpy Python SDK, run workflows, FASTQ/BAM/VCF, for genomics pipeline development and execution.

marielynneblock Bundle

Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.

marielynneblock Bundle

Build an automated evaluation pipeline that tests a Python LLM application end-to-end with pixie test — real code paths, real LLM calls, instrumented external data — and scores outputs with evaluators instead of assertions. Use when adding evals to a Python AI app.

marielynneblock Bundle

Three-layer verification pipeline for AI output. Extracts verifiable claims, finds supporting or contradicting sources via web search, runs adversarial review for hallucination patterns, and produces a structured verification report with source links for human review.

miuav Skill

Docker ROS2 部署技能 - Docker Compose、ROS2 容器化、设备映射、多机器人部署

event4u-app Skill

Use when working with Docker — Dockerfile edits, docker-compose services, containers, or the dual-container (fast + Xdebug) setup — even when the user just says 'my container won't start'.

event4u-app Skill

Use when writing Terraform — AWS modules, resources, variables, outputs, remote state — even when the user just says 'provision this infra' or 'add an S3 bucket' without naming Terraform.

event4u-app Skill

Use when working with Terragrunt — DRY multi-env configs, module dependencies, remote state orchestration — even when the user just says 'deploy this to staging and prod' without naming Terragrunt.

event4u-app Skill

Use when the rule set is over the Augment budget, when a new rule would breach it, or when asked to audit / merge / prune rules — runs the audit pipeline and proposes a verdict per rule.

tangledgroup Bundle

Complete toolkit for Gunicorn 26.0.0 — Python WSGI/ASGI HTTP server with pre-fork worker model. Covers installation, configuration, worker selection (sync, gthread, gevent, ASGI), deployment behind Nginx/systemd/Docker, SSL/TLS, HTTP/2, Dirty Arbiters for heavy workloads, uWSGI protocol, and runtime control via gunicornc. Use when deploying Python web applications (Django, Flask, FastAPI, Starlette) to production, tuning Gunicorn worker counts and timeouts, configuring reverse proxy integration, or setting up async/ASGI workloads with streaming and Dirty Arbiters.

tangledgroup Bundle

Local AI memory system that mines projects and conversations into a searchable index using ChromaDB for vector search and SQLite for knowledge graph storage. No API keys or cloud dependencies required. Use when building AI agents requiring persistent memory, mining conversation exports, creating searchable codebase indexes, implementing local RAG, or needing temporal knowledge graphs.

tangledgroup Bundle

Local AI memory system that mines projects and conversations into a searchable index using ChromaDB for vector search and SQLite for knowledge graph storage. No API keys or cloud dependencies required. Use when building AI agents requiring persistent memory, mining conversation exports, creating searchable codebase indexes, implementing local RAG, or needing temporal knowledge graphs.

tangledgroup Bundle

Python client library for Podman container engine providing programmatic access to containers, images, pods, networks, volumes, manifests, secrets, and quadlets via RESTful API. Use when building Python applications that require container orchestration, automation scripts, CI/CD integration, or container management without Docker dependency.

tangledgroup Bundle

Fullstack framework for SolidJS providing SSR, SSG, API routes, file-based routing, and server functions. Use when building performant web applications with unified rendering modes (CSR, SSR sync/async/streaming, SSG), isomorphic code execution, single-flight mutations, and deployment adapters for Vercel, Netlify, Cloudflare, AWS, Azure, Bun, Deno, and more.

tangledgroup Bundle

Fullstack framework for SolidJS providing SSR, SSG, API routes, file-based routing, and server functions. Use when building performant web applications with unified rendering modes (CSR, SSR sync/async/streaming, SSG), isomorphic code execution, single-flight mutations, and deployment adapters for Vercel, Netlify, Cloudflare, AWS, Azure, Bun, Deno, and more.

tangledgroup Bundle

Complete toolkit for Hugging Face Transformers 5.5.4 providing pretrained models for NLP, vision, audio, video, and multimodal tasks with Pipeline API, Trainer, generation, and quantization. Use when building Python applications that integrate transformer models for text generation, image classification, speech recognition, fine-tuning, or any task requiring the Hugging Face ecosystem.

tangledgroup Bundle

Complete toolkit for Hugging Face Transformers 5.7.0 providing pretrained models for NLP, vision, audio, video, and multimodal tasks with Pipeline API, Trainer, generation, and quantization. Use when building Python applications that integrate transformer models for text generation, image classification, speech recognition, fine-tuning, or any task requiring the Hugging Face ecosystem.

tangledgroup Bundle

High-performance distributed object storage system with S3-compatible API, OpenStack Swift support, and comprehensive observability features built in Rust. Use when deploying S3-compatible storage backends, configuring distributed clusters, integrating with Kubernetes via Helm, setting up TLS/mTLS, or building data lake solutions requiring high-throughput storage.

tangledgroup Bundle

Complete toolkit for OpenAI Python SDK 2.38.0 providing typed sync/async clients for the Responses API, Chat Completions API, Realtime API, multimodal (audio/image/video), and Azure OpenAI. Use when building Python applications that call OpenAI models, stream responses, handle tool calling, authenticate via workload identity, or integrate with Azure OpenAI.

tangledgroup Bundle

Orchestrates multi-container applications using Compose specification files with Podman backend. Use when deploying containerized stacks, managing services defined in compose.yaml files, or migrating from docker-compose to a daemonless rootless workflow.