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DevOps & Cloud
Deployment, cloud, containers, CI/CD, monitoring, and infrastructure
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Showing 3,673–3,696 of 19,628 skills
- Detecting Aws Credential Exposure With Trufflehog'Detecting exposed AWS credentials in source code repositories, CI/CDVotes: 0GitHub stars: 9
- Deploying Honeytokens And CanarytokensPlant canarytokens and honey credentials and alert on breach.Votes: 0GitHub stars: 9
- Conducting Spearphishing Simulation CampaignSpearphishing simulation is a targeted social engineering attack vectorVotes: 0GitHub stars: 9
- Building Phishing Reporting Button WorkflowImplement a phishing report button in email clients with automated triageVotes: 0GitHub stars: 9
- Building Identity Federation With Saml Azure AdEstablish SAML 2.0 identity federation between on-premises Active DirectoryVotes: 0GitHub stars: 9
- Building C2 Redirector InfrastructureArchitect redirectors with nginx and Apache, malleable profiles, and OPSECVotes: 0GitHub stars: 9
- Benchmarking Kubernetes With Kube BenchRun CIS Kubernetes Benchmark checks and remediate findings with kube-bench.Votes: 0GitHub stars: 9
- Auditing Kubernetes Cluster Rbac'Auditing Kubernetes cluster RBAC configurations to identify overly permissiveVotes: 0GitHub stars: 9
- Analyzing Typosquatting Domains With DnstwistDetect typosquatting, homograph phishing, and brand impersonation domainsVotes: 0GitHub stars: 9
- Analyzing Tls Certificate Transparency Logs'Queries Certificate Transparency logs via crt.sh and pycrtsh to detectVotes: 0GitHub stars: 9
- Analyzing Linux Elf Malware'Analyzes malicious Linux ELF (Executable and Linkable Format) binariesVotes: 0GitHub stars: 9
- Analyzing Indicators Of Compromise'Analyzes indicators of compromise (IOCs) including IP addresses, domains,Votes: 0GitHub stars: 9
- Analyzing Certificate Transparency For PhishingMonitor Certificate Transparency logs using crt.sh and Certstream toVotes: 0GitHub stars: 9
- Anbu SkillStandard Operating Procedures for backend development, bug fixing, DevOps, infrastructure deployment, and security hardening.Votes: 0GitHub stars: 9
- Vertical ScalingGuides Qdrant vertical scaling decisions. Use when someone asks 'how to scale up a node', 'need more RAM', 'upgrade node size', 'vertical scaling', 'resize cluster', 'scale up vs scale out', or when memory/CPU is insufficient on current nodes. Also use when someone wants to avoid the complexity of horizontal scaling.Votes: 0GitHub stars: 36
- Reqnroll SkillGenerates production-grade Reqnroll BDD automation scripts for web (Selenium 3/4) and mobile (Appium 2) testing in C#. Supports parallel NUnit execution locally and on TestMu AI cloud. Use when the user asks to write BDD tests, automate with Reqnroll, create .feature files, write Gherkin scenarios, write step definitions, migrate from SpecFlow, or test on browsers/Android/iOS. Triggers on: "Reqnroll", "BDD", "Gherkin", ".feature file", "step definition", "SpecFlow migration", "Selenium C#", "...Votes: 0GitHub stars: 36
- Mstest SkillGenerates MSTest tests in C#. Microsoft's built-in testing framework for .NET. Use when user mentions "MSTest", "[TestMethod]", "[TestClass]", "Assert.AreEqual". Triggers on: "MSTest", "[TestMethod]", "[TestClass]", "Microsoft test framework".Votes: 0GitHub stars: 36
- Espresso SkillGenerates Espresso UI tests for Android apps in Kotlin or Java. Espresso runs inside the app process for fast, reliable UI testing. Supports local and TestMu AI cloud real devices. Use when user mentions "Espresso", "onView", "ViewMatchers", "Android UI test", or "instrumentation test". Triggers on: "Espresso", "onView", "ViewMatchers", "Android UI test", "instrumentation", "TestMu".Votes: 0GitHub stars: 36
- Tenant ScalingGuides Qdrant multi-tenant scaling. Use when someone asks 'how to scale tenants', 'one collection per tenant?', 'tenant isolation', 'dedicated shards', or reports tenant performance issues. Also use when multi-tenant workloads outgrow shared infrastructure.Votes: 0GitHub stars: 36
- Sre EngineerDefines service level objectives, creates error budget policies, designs incident response procedures, develops capacity models, and produces monitoring configurations and automation scripts for production systems. Use when defining SLIs/SLOs, managing error budgets, building reliable systems at scale, incident management, chaos engineering, toil reduction, or capacity planning.Votes: 0GitHub stars: 36
- Spark EngineerUse when writing Spark jobs, debugging performance issues, or configuring cluster settings for Apache Spark applications, distributed data processing pipelines, or big data workloads. Invoke to write DataFrame transformations, optimize Spark SQL queries, implement RDD pipelines, tune shuffle operations, configure executor memory, process .parquet files, handle data partitioning, or build structured streaming analytics.Votes: 0GitHub stars: 36
- Compare ModelsCompare Replicate models by cost, speed, quality, and capabilities.Votes: 0GitHub stars: 36
- Build ModelsPackage and build custom AI models with Cog for deployment on Replicate. Use when creating a cog.yaml or predict.py, defining model inputs and outputs, loading model weights at setup time, building Docker images for ML models, serving locally with cog serve or cog predict, or porting a HuggingFace, GitHub, or ComfyUI model to run on Replicate. Trigger on phrases like "build a model", "package a model", "create a Cog model", "wrap a model", "containerize an AI model", "predict.py", "cog.yaml",...Votes: 0GitHub stars: 36
- Redis ConnectionsRedis client and connection guidance covering connection pooling, multiplexing, pipelining, client-side caching with RESP3, avoiding slow commands (KEYS, SMEMBERS, HGETALL), and tuning socket timeouts. Use when configuring a Redis client (redis-py, Jedis, Lettuce, NRedisStack), batching commands for throughput, eliminating per-request connection creation, iterating large keyspaces with SCAN, enabling client-side caching for read-heavy workloads, or setting connect and read timeouts.Votes: 0GitHub stars: 36