Claude Skills by thedixitjain

'This skill covers implementing Okta as a centralized identity provider for cloud environments, configuring SSO integration with AWS, Azure, and GCP, deploying phishing- resistant MFA with Okta FastPass, managing lifecycle automation for user provisioning and deprovisioning, and enforcing adaptive access policies based on device posture and risk signals. '

Use when the user asks about quota, billing visibility, or processed-page counts. Covers GET /v1/usage — query params, response shape, when to report usage proactively to the user.

'Execute use when you need to work with containerization. This skill provides container management and orchestration with comprehensive guidance and automation. Trigger with phrases like \"containerize app\", \"manage containers\", or \"orchestrate deployment\". '

'Deploy use when you need to work with deployment and CI/CD. This skill provides deployment automation and orchestration with comprehensive guidance and automation. Trigger with phrases like \"deploy application\", \"create pipeline\", or \"automate deployment\". '

Collect Active Directory data with SharpHound and Entra ID data with AzureHound, ingest into BloodHound Community Edition, and analyze on-prem, cloud, and hybrid attack paths with built-in queries and custom Cypher.

'Configure memorystore config operations. Auto-activating skill for GCP Skills. Triggers on: memorystore config, memorystore config Part of the GCP Skills skill category. Use when configuring systems or services. Trigger with phrases like \"memorystore config\", \"memorystore config\", \"memorystore\". '

Use when reasoning about how a MICRO submission is judged — the double-blind HotCRP pipeline from the April deadline through the June rebuttal/revision window to the early-July notification, what reviewers score in a microarchitecture paper, the professional-conduct rules, and how the new Industry Track review differs.

Deploy, evaluate, fine-tune, and manage Foundry agents end-to-end with azd: hosted agent scaffold/run/deploy, prompt agent create, batch eval, continuous eval, prompt optimizer, Agent Optimizer scaffold, agent.yaml, dataset curation from traces, model fine-tuning (SFT/DPO/RFT). USE FOR: azd ai agent, azd provision/deploy, deploy agent, hosted agent, create agent, add tool to agent, invoke agent, evaluate agent, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prom...

'Configure CI/CD pipelines for Miro REST API v2 integrations with GitHub Actions, test board isolation, and automated validation. Trigger with phrases like \"miro CI\", \"miro GitHub Actions\", \"miro automated tests\", \"CI miro\", \"miro pipeline\". '

'Optimize Miro API costs through credit monitoring, request reduction, and plan selection based on the credit-based rate limiting model. Trigger with phrases like \"miro cost\", \"miro billing\", \"reduce miro costs\", \"miro pricing\", \"miro credits usage\". '

'Set up observability for Miro REST API v2 integrations with Prometheus metrics, OpenTelemetry traces, structured logging, and Grafana dashboards. Trigger with phrases like \"miro monitoring\", \"miro metrics\", \"miro observability\", \"monitor miro\", \"miro alerts\", \"miro tracing\". '

Generate production-ready mise.toml setups for local development, CI/CD pipelines, and toolchain standardization.

'Set up comprehensive observability for Mistral AI with metrics, traces, and alerts. Use when implementing monitoring for Mistral AI operations, setting up dashboards, or configuring alerting for integration health. Trigger with phrases like \"mistral monitoring\", \"mistral metrics\", \"mistral observability\", \"monitor mistral\", \"mistral alerts\". '

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.

Complete end-to-end MLOps pipeline orchestration from data preparation through model deployment.

Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.

Serverless GPU cloud for ML jobs and model APIs.

'Detect model drift detector operations. Auto-activating skill for ML Deployment. Triggers on: model drift detector, model drift detector Part of the ML Deployment skill category. Use when working with model drift detector functionality. Trigger with phrases like \"model drift detector\", \"model detector\", \"model\". '

'Assist with model export helper operations. Auto-activating skill for ML Deployment. Triggers on: model export helper, model export helper Part of the ML Deployment skill category. Use when working with model export helper functionality. Trigger with phrases like \"model export helper\", \"model helper\", \"model\". '

'Assist with model pruning helper operations. Auto-activating skill for ML Deployment. Triggers on: model pruning helper, model pruning helper Part of the ML Deployment skill category. Use when working with model pruning helper functionality. Trigger with phrases like \"model pruning helper\", \"model helper\", \"model\". '

'Manage model registry manager operations. Auto-activating skill for ML Deployment. Triggers on: model registry manager, model registry manager Part of the ML Deployment skill category. Use when working with model registry manager functionality. Trigger with phrases like \"model registry manager\", \"model manager\", \"model\". '

'Manage model versioning manager operations. Auto-activating skill for ML Deployment. Triggers on: model versioning manager, model versioning manager Part of the ML Deployment skill category. Use when working with model versioning manager functionality. Trigger with phrases like \"model versioning manager\", \"model manager\", \"model\". '

'Build real-time API monitoring dashboards with metrics, alerts, and health checks. Use when tracking API health and performance metrics. Trigger with phrases like \"monitor the API\", \"add API metrics\", or \"setup API monitoring\". '

'Monitor this skill enables AI assistant to monitor and analyze cpu usage patterns within applications. it helps identify cpu hotspots, analyze algorithmic complexity, and detect blocking operations. use this skill when the user asks to \"monitor cpu usage\", \"opt... Use when setting up monitoring or observability. Trigger with phrases like ''monitor'', ''metrics'', or ''alerts''. '

'Monitor cross-chain bridge TVL, volume, fees, and transaction status across networks. Use when researching bridges, comparing routes, or tracking bridge transactions. Trigger with phrases like \"monitor bridges\", \"compare bridge fees\", \"track bridge tx\", \"bridge TVL\", or \"cross-chain transfer status\". '

'Monitors dark web forums, marketplaces, paste sites, and ransomware leak sites for mentions of organizational assets, leaked credentials, threatened attacks, and threat actor communications to provide early warning intelligence. Use when establishing dark web monitoring coverage, investigating specific data breach claims, or enriching incident investigations with dark web context. Activates for requests involving dark web OSINT, leak site monitoring, credential exposure, Recorded Future dark...

Monitor and analyze application error rates to improve reliability. Use when tracking errors in applications including HTTP errors, exceptions, and database issues. Trigger with phrases like \"monitor error rates\", \"track application errors\", or \"analyze error patterns\".

Monitoring and observability with OpenTelemetry, Prometheus, Grafana dashboards, and structured logging

'Monitors Modbus TCP traffic on SCADA and ICS networks to detect anomalous function code usage, unauthorized register writes, and suspicious communication patterns. The analyst uses deep packet inspection with pymodbus, Scapy, and Zeek to baseline normal PLC/RTU communication behavior, then applies statistical and rule-based anomaly detection to identify reconnaissance, parameter manipulation, and denial-of-service attacks targeting Modbus devices on port 502. Activates for requests involving...

'Track large cryptocurrency transactions and whale wallet movements in real-time. Use when tracking large holder movements, exchange flows, or wallet activity. Trigger with phrases like \"track whales\", \"monitor large transfers\", \"check whale activity\", \"exchange inflows\", or \"watch wallet\". '

Investigate data incidents and find root causes using Monte Carlo's observability data. Guides the agent through systematic investigation: alert lookup, lineage tracing, ETL checks, query analysis, and data profiling. Activates when a user asks about data issues, incidents, alerts, or...

Guides creation of Monte Carlo monitors via MCP tools, producing monitors-as-code YAML for CI/CD deployment.

Analyze data coverage, create monitors for warehouse tables and AI agents. Covers coverage gaps, use-case analysis, data monitor creation, and agent observability.

Surfaces Monte Carlo data observability context (table health, alerts, lineage, blast radius) before SQL/dbt edits.

Configure mutual TLS (mTLS) for zero-trust service-to-service communication. Use when implementing zero-trust networking, certificate management, or securing internal service communication.

Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, GCP, and OCI. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.

Decision framework and patterns for architecting applications across AWS, Azure, and GCP.

NanoClaw runtime traffic monitoring baseline for host-side proxy inspection with container-safe MCP and IPC status surfaces.

'Use when setting up monitoring, logging, and alerting for Navan API integrations in production environments. Trigger with \"navan observability\" or \"navan monitoring\" or \"navan api dashboards\". '

Use when designing or auditing the evaluation of an NDSS paper — attack demonstrations, defense evaluations under adaptive adversaries, and Internet measurements — choosing between testbed, emulation, and live experiments and meeting NDSS's deployment-realism evidence bar.

Use when interpreting where an NDSS submission stands — the two-round pipeline inside each cycle, the early reject with Round-1 reviews, rebuttal and interactive discussion, the Accept / Minor Revision / Major Revision decision set, and the Ethics Review Board's role.

Deploy web projects to Netlify using the Netlify CLI (`npx netlify`). Use when the user asks to deploy, host, publish, or link a site/repo on Netlify, including preview and production deploys.

Diagnose interface errors, drops, CRCs, duplex mismatches, flapping, speed negotiation issues, and counter trends on routers, switches, and Linux hosts.

Train SONA + MicroLoRA neural patterns from successful task completions; runs the DISTILL + CONSOLIDATE phases of the 4-step pipeline

Automate New Relic tasks via Rube MCP (Composio): APM, alerts, dashboards, NRQL queries, and infrastructure monitoring. Always search tools first for current schemas.

Generate ready-to-use CI/CD pipeline configurations that install and run Newman for automated API testing. Use this skill whenever the user wants to run Newman in a CI pipeline, integrate Postman collections into automated builds, set up API tests in GitHub Actions, GitLab CI, Jenkins,...

'Manage nginx ingress manager operations. Auto-activating skill for DevOps Advanced. Triggers on: nginx ingress manager, nginx ingress manager Part of the DevOps Advanced skill category. Use when working with nginx ingress manager functionality. Trigger with phrases like \"nginx ingress manager\", \"nginx manager\", \"nginx\". '

'Set up observability for Notion integrations with metrics, traces, and alerts. Use when implementing monitoring for Notion API calls, setting up dashboards, or configuring alerting for Notion integration health. Trigger with phrases like \"notion monitoring\", \"notion metrics\", \"notion observability\", \"monitor notion\", \"notion alerts\", \"notion tracing\". '

'Optimize npm scripts optimizer operations. Auto-activating skill for DevOps Basics. Triggers on: npm scripts optimizer, npm scripts optimizer Part of the DevOps Basics skill category. Use when working with npm scripts optimizer functionality. Trigger with phrases like \"npm scripts optimizer\", \"npm optimizer\", \"npm\". '

Use when designing or auditing the evaluation of an NSDI submission — choosing traces, testbeds, and deployment evidence, sizing scale and failure-injection experiments, picking baselines that fight back, and reporting tail behavior so networked-systems reviewers can see where the design wins, loses, and breaks.