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DevOps & Cloud
Deployment, cloud, containers, CI/CD, monitoring, and infrastructure
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Showing 13,081–13,104 of 20,174 skills
- Afrexai Self Hosting MasteryComplete self-hosting and homelab operating system. Deploy, secure, monitor, and maintain self-hosted services with production-grade reliability. Use when setting up home servers, Docker infrastructure, reverse proxies, backups, monitoring, or evaluating self-hosted alternatives to SaaS.Votes: 0GitHub stars: 16
- Afrexai Observability EngineComplete observability & reliability engineering system. Use when designing monitoring, implementing structured logging, setting up distributed tracing, building alerting systems, creating SLO/SLI frameworks, running incident response, conducting post-mortems, or auditing system reliability. Covers all three pillars (logs/metrics/traces), alert design, dashboard architecture, on-call operations, chaos engineering, and cost optimization.Votes: 0GitHub stars: 16
- Afrexai Nextjs ProductionRun through these 8 signals — score 0 (no) or 2 (yes):Votes: 0GitHub stars: 16
- Afrexai Ml EngineeringComplete methodology for building, deploying, and operatingVotes: 0GitHub stars: 16
- Afrexai Legacy ModernizationComplete methodology for assessing, planning, and executing legacyVotes: 0GitHub stars: 16
- Afrexai Go ProductionYou are a Go production engineering expert. Follow this system forVotes: 0GitHub stars: 16
- Afrexai Fastapi ProductionComplete methodology for building, deploying, and scalingVotes: 0GitHub stars: 16
- Afrexai Django ProductionComplete methodology for building, scaling, and operatingVotes: 0GitHub stars: 16
- Afrexai Compliance EngineYour AI compliance officer. Guides startups and scale-ups throughVotes: 0GitHub stars: 16
- Afrexai Ai Safety AuditComprehensive AI safety and alignment audit framework forVotes: 0GitHub stars: 16
- Afrexai Agent ObservabilityScore, monitor, and troubleshoot AI agent fleets in production.Votes: 0GitHub stars: 16
- Aavegotchi Renderer BypassRender Aavegotchi assets by deriving renderer hashes from Goldsky Base core data and calling POST /api/renderer/batch on www.aavegotchi.com. Use when the user gives a tokenId or inventory URL, or when deterministic hash plus image artifacts are required.Votes: 0GitHub stars: 16
- Tiledbvcf--> --- name: bio-tiledbvcf description: Efficient storage and retrieval of genomic variant data using TileDB. Scalable VCF/BCF ingestion, incremental sample addition, compressed storage, parallel queries, and export capabilities for population genomics. tool_type: mixed primary_tool: Unknown measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 32
- Modal--> --- name: bio-modal description: Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling. tool_type: mixed primary_tool: Unknown measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 32
- Latchbio Integration--> --- name: bio-latchbio-integration description: Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration. tool_type: mixed primary_tool: Unknown measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 32
- Esm--> --- name: bio-esm description: Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud...Votes: 0GitHub stars: 32
- Dnanexus Integration--> --- name: bio-dnanexus-integration description: 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. tool_type: mixed primary_tool: Unknown measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 32
- BioNeMo Framework--> --- name: nvidia-bionemo-framework description: Stand up NVIDIA BioNeMo Framework + NIM microservices to train, fine-tune, and deploy generative biomolecular models for drug discovery. keywords: - generative-ai - drug-discovery - protein-design - nvidia - bionemo measurable_outcome: Launch BioNeMo Framework from NGC, run one inference (NIM) and one fine-tuning recipe on DGX Cloud or on-prem GPUs within a single working day. license: Apache-2.0 (framework) / NVIDIA AI Enterprise (enterpris...Votes: 0GitHub stars: 32
- Monai Medical ImagingBuild reproducible healthcare imaging pipelines with Project MONAI for DICOM, NIfTI, pathology, and multidimensional imaging tasks including preprocessing, augmentation, training, sliding-window inference, evaluation, model bundles, labeling, and deployment. Use when implementing medical image classification, segmentation, registration, detection, generative, or foundation-model workflows in PyTorch.Votes: 0GitHub stars: 32
- LangGraph Self Hosted--> --- name: langgraph-self-hosted description: Deploy LangGraph Platform-compatible backends (Aegra) to run regulated biomedical agent workflows on private infrastructure with security guardrails. keywords: - langgraph - self-hosted - agentic-ai - fastapi - postgres measurable_outcome: Stand up a LangGraph-compatible deployment (API + persistence) behind your firewall, register at least one graph, and route traffic through it within 4 hours. license: Apache-2.0 (Aegra) metadata: author: Age...Votes: 0GitHub stars: 32
- Agentic Evals ObservabilityDesign evaluation, tracing, monitoring, scope-control, and rollback discipline for agent systems. Use when an agent workflow is becoming important enough that you need evidence, not vibes, to decide whether it is good.Votes: 0GitHub stars: 32
- Cohere Platform Operations 2026Integrate and operate Cohere APIs with current model, rerank, embedding, transcribe, and SDK guidance. Use when selecting Cohere models, building search or agent workflows, or planning migration across Cohere platform updates.Votes: 0GitHub stars: 32
- Convert Erlang HaskellTranslates Erlang concurrent functional code to Haskell pure functional code. Use when migrating BEAM-based systems, modernizing telecom infrastructure, or adopting stronger type systems. Extends meta-convert-dev with Erlang-to-Haskell specific patterns.Votes: 0GitHub stars: 8
- SkillValidates Kubernetes manifests and Terraform configs against the DeployGuard policy ruleset. Acts as a senior reviewer: every violation explains *why it matters* and *what to fix*, not just what's wrong. **Trigger:** `/guard` ---Votes: 0GitHub stars: 3