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DevOps & Cloud
Deployment, cloud, containers, CI/CD, monitoring, and infrastructure
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Showing 4,705–4,728 of 20,192 skills
- 07 Deploy DockerSkill do DevOps/Deployer para dockerização, CI/CD, e deploy de aplicações. Use quando precisar criar Dockerfile, docker-compose, configurar pipeline CI/CD, deploy em cloud, configurar nginx, SSL, ou qualquer operação de infraestrutura. Trigger em: "deploy", "Docker", "Dockerfile", "docker-compose", "CI/CD", "pipeline CI/CD", "GitHub Actions", "nginx", "SSL", "produção", "staging", "Kubernetes", "AWS", "infraestrutura", "ambiente", "build", "release".Votes: 0GitHub stars: 23
- Senior Ml EngineerWorld-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML infrastructure. Includes LLM integration, fine-tuning, RAG systems, and agentic AI. Use when deploying ML models, building ML platforms, implementing MLOps, or integrating LLMs into production systems.Votes: 0GitHub stars: 2
- Senior DevopsComprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.Votes: 0GitHub stars: 2
- Senior Data EngineerWorld-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, or implementing data governance.Votes: 0GitHub stars: 2
- Senior Computer VisionWorld-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers. Includes 3D vision, video analysis, real-time processing, and production deployment. Use when building vision AI systems, implementing object detection, training custom vision models, or optimizing inference pipelines.Votes: 0GitHub stars: 2
- Surface CatalysisUse when the user asks about surface slabs, Miller indices, adsorbate placement, adsorption sites, water layers, passivation, heterostructures, lattice matching, moire bilayers, or catalysis workflows.Votes: 0GitHub stars: 204
- Zombie DebuggerDiagnosing and resolving zombie process accumulation; measuring leak rate; identifying cmd.Start() without Wait; killing residual zombies; validating a zombie fixVotes: 0GitHub stars: 8
- ToneCheck whether a piece of writing's actual register matches its declared audience and tone (from writing:scope). One check in the writing pipeline — run standalone or via writing:full.Votes: 0GitHub stars: 8
- Tla PlusWrite, review, or model-check TLA+/PlusCal specs for distributed systems — leader election, consensus (Raft-style), message passing, network partitions/reordering/loss, crash-restart, clocks, CAS/optimistic-concurrency fields. Use whenever the user asks to model a protocol formally, write a TLA+ spec, run TLC, interpret a TLC counterexample, or asks "does this design have a race/lost-update/split-brain bug" for a distributed or concurrent system. Also use before trusting a spec's "no error fo...Votes: 0GitHub stars: 8
- Temporal ServerlessDeploy and operate Temporal Workers on serverless compute (AWS Lambda) driven by the Worker Controller Instance (WCI). Use when the user mentions: "serverless worker", "Temporal serverless", "Worker Controller Instance", "WCI", "deploy Temporal worker on Lambda", "Lambda packaging", "Lambda timeout", "WCI inspection", "CloudFormation Temporal".Votes: 0GitHub stars: 8
- Temporal OpsAdminister and diagnose running Temporal Cloud or self-hosted Temporal Server environments via CLI (temporal, tcld) — not SDK code. Operations: namespace CRUD, Cloud capacity/APS, API-key rotation, mTLS cert rotation, workflow health, batch cancel/terminate/reset, export, search attributes, Ops API, billing, audit logs, Terraform, SAML/SCIM, migration. Diagnosis: bottom-up triage of stuck workflows, non-determinism, worker-health, task-queue problems, HA failover, payload size limits, perform...Votes: 0GitHub stars: 8
- Tech Resume OptimizerOptimize resumes for software engineering, PM, and technical rolesVotes: 0GitHub stars: 8
- Sync RemotesExecute a full bidirectional sync between the personal fork (origin) and the work upstream (upstream-fanatics). Creates a dated integration branch, resolves known conflict patterns, runs CI checks, opens two PRs (fork→upstream and upstream→fork), and monitors until checks pass. Use after /fork-merge-plan or whenever both repos have diverged and need to be brought back in sync.Votes: 0GitHub stars: 8
- AdrCapture an architecture decision recordVotes: 0GitHub stars: 8
- 1 IdeatePhase 1 — Interview to capture requirements. Outputs: project_plans/<project>/requirements.mdVotes: 0GitHub stars: 8
- Rust Memory OptimizationReduce Rust memory usage, eliminate allocation churn, size types precisely, apply custom allocators and arenas, build bounded telemetry buffers, and detect leaks. Covers the full cycle: measure → diagnose → fix → verify. Companion to rust-profiling (CPU flamegraphs) and rust-perf-tuning (CPU throughput).Votes: 0GitHub stars: 8
- Resume Version ManagerTrack different resume versions, maintain master resume, manage tailored versionsVotes: 0GitHub stars: 8
- Resume TailorCustomize resume for specific job postings while maintaining truthfulnessVotes: 0GitHub stars: 8
- Reference List BuilderFormat professional references properly and prepare reference materialsVotes: 0GitHub stars: 8
- Tech Stack ReviewHigh-level architecture review evaluating directional correctness, documentation quality, and FBG tech stack alignmentVotes: 0GitHub stars: 8
- Python DevelopmentApply idiomatic, well-structured Python development practices. Use when writing, reviewing, or refactoring Python code. Covers type annotations, package management with uv, Pydantic DTOs, Typer CLIs, pytest patterns, PEP 8 style, architecture, and type-driven design.Votes: 0GitHub stars: 8
- Python Dependency ManagementHow to manage Python dependencies with UV — inline script metadata (PEP 723), project mode, tool running, and when to use each approach. Always use UV; never pip directly.Votes: 0GitHub stars: 8
- Product Manual FinderFind the official instruction manual/PDF for a specific owned product (by model number or photo), verify it's actually the right document (not a spec sheet or the wrong model), make sure it has a searchable text layer (OCR if it's scan-only), save it into the wiki's assets folder, and synthesize a product page that links and summarizes it. TRIGGER when the user asks to find/gather/look up a manual, instructions, or documentation for a specific tool or appliance they own, or asks how to operat...Votes: 0GitHub stars: 8
- Fix BugPick out the next highest priority bug and work on itVotes: 0GitHub stars: 8