DevOps & Infra

mkurman Skill

End-to-end DICOM workflow: parsing, anonymization/de-identification, conversion, structured reporting, PACS query/retrieve, and DICOMweb. Build automated medical imaging pipelines.

mkurman 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.

mkurman 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 optimization), generate fluorescent pixel art, or interact with Ginkgo Cloud Lab services. Covers protocol selection, input preparation, pricing, and ordering workflows.

mkurman Skill

Zipline Reloaded — event-driven backtesting engine. Minute and daily data, custom factors, pipeline API, risk and performance analytics. Forked from Quantopian's Zipline for continued development.

mkurman 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.

mkurman Bundle

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

mkurman Bundle

Use this skill when configuring CRM workflows, managing sales pipelines, building forecasting models, or optimizing CRM data hygiene. Triggers on Salesforce, HubSpot, CRM workflows, pipeline management, deal stages, forecasting, CRM automation, and any task requiring CRM architecture or process optimization.

mkurman Skill

When a founder needs to qualify inbound leads, define their ICP, build a lead scoring model, set MQL criteria, or route prospects through pipeline stages. Activate when the user mentions lead scoring, ICP, MQL, SQL, lead qualification, inbound leads, or pipeline design.

ulpi-io Bundle

Build reusable Terraform modules for AWS, Azure, and GCP infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.

ulpi-io Skill

Minimal smoke test for Alibaba Cloud DNS CLI skill. Validate aliyun-cli auth and describe-subdomain flow.

ulpi-io Bundle

Vercel Functions and Edge Runtime, including cron jobs and routing middleware. Use when building APIs, serverless workloads, or scheduled tasks on Vercel.

ulpi-io Skill

Minimal smoke test for Cloud Firewall skill. Validate read-only inventory query path.

ulpi-io Skill

Explainer video production guide: scripting, voiceover, visuals, and assembly. Covers script formulas, pacing rules, scene planning, and multi-tool pipelines. Use for: product demos, how-it-works videos, onboarding videos, social explainers. Triggers: explainer video, how to make explainer, product video, demo video, video production, video script, animated explainer, product demo video, tutorial video, onboarding video, walkthrough video, video pipeline

ulpi-io Bundle

Build and deploy GitHub Copilot SDK apps to Azure. WHEN: build copilot app, create copilot app, copilot SDK, @github/copilot-sdk, scaffold copilot project, copilot-powered app, deploy copilot app, host on azure, azure model, BYOM, bring your own model, use my own model, azure openai model, DefaultAzureCredential, self-hosted model, copilot SDK service, chat app with copilot, copilot-sdk-service template, azd init copilot, CopilotClient, createSession, sendAndWait, GitHub Models API.

ulpi-io Skill

Design multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration. Use when architecting deployment workflows, setting up continuous delivery, or implementing GitOps practices.

ulpi-io Bundle

PostgreSQL 18+ comprehensive best practices for enterprise database development. Provides schema architecture patterns, Table API design, PL/pgSQL coding standards, migrations, and data warehousing. USE THIS SKILL WHEN THE USER: - Creates PostgreSQL schemas, tables, functions, procedures, or triggers - Asks about PostgreSQL data types (uuid, text, timestamptz, jsonb, numeric) - Writes PL/pgSQL code and needs naming conventions (l_, in_, io_, co_ prefixes) - Implements Table API pattern (SECURITY DEFINER functions, schema separation) - Sets up database migrations or schema versioning - Needs index optimization, constraint design, or query performance help - Asks about PostgreSQL 18+ features (uuidv7, virtual columns, temporal constraints) - Builds data warehouses with Medallion Architecture (Bronze/Silver/Gold) - Needs data lineage tracking, ETL patterns, or audit logging - Reviews database code for best practices or anti-patterns - Migrates from Oracle PL/SQL to PostgreSQL PL/pgSQL - Sets up CI/CD pipelines f

ulpi-io Skill

Minimal smoke test for generic Alibaba Cloud aliyun CLI skill. Validate CLI install, auth profile, and one read-only API call.

ulpi-io Skill

Essential CloudBase (TCB, Tencent CloudBase, 云开发, 微信云开发) development guidelines. MUST read when working with CloudBase projects, developing web apps, mini programs, backend services, fullstack development, static deployment, cloud functions, mysql/nosql database, authentication, cloud storage, web search or AI(LLM streaming) using CloudBase platform. Great supabase alternative.

ulpi-io Skill

Smoke test for alicloud-ai-cloud-call-center. Validate minimal authentication, API reachability, and one read-only query path.

ulpi-io Skill

Smoke test for alicloud-compute-fc-serverless-devs. Validate minimal authentication, API reachability, and one read-only query path.

agents-store Skill

Synchronize .env with .env.example for Dify Docker deployments — detect new variables, add missing ones with default values, preserve existing customizations. Use when syncing env variables, checking for new Dify configuration variables, comparing .env.example vs .env, "env sync", "new env variables", "missing environment variables", or after pulling Dify updates.

agents-store Bundle

Use this skill when the user is adding LLM-powered behavior to a Microsoft Teams bot — building a `ChatPrompt`, attaching `OpenAIChatModel` (OpenAI or Azure OpenAI), registering function tools, streaming responses, or composing multi-agent flows with `A2AClientPlugin`. Triggers on "AI Teams bot", "ChatPrompt", "OpenAI Teams", "function calling Teams", "streaming Teams response", "A2A agent".

agents-store Bundle

Use this skill when the user is deploying a Microsoft Teams bot — sideloading the manifest, registering bot infrastructure with the Teams CLI, switching between localhost / devtunnel / production hosts, configuring sovereign clouds (US Gov, GCC High, China), or planning a Teams app release. Triggers on "deploy Teams bot", "sideload Teams app", "Teams app production", "Teams sovereign cloud", "Teams bot endpoint".

agents-store Skill

This skill should be used when the user wants AI-powered deployment debugging on Dokploy — wiring up an LLM provider (OpenAI, Anthropic, Gemini, Ollama, OpenRouter, etc.), summarising build logs with AI, or asking Dokploy for a next-step suggestion. Triggers: "analyze my failed deploy with AI", "ai analyze logs dokploy", "set up dokploy ai", "configure ai provider in dokploy", "why is dokploy not suggesting fixes", "dokploy ai-analyzeLogs", "dokploy ai-suggest".

agents-store Skill

This skill should be used whenever the user wants to read, tail, stream, or search Dokploy logs — application runtime logs, Docker Compose stack logs (every container), database logs, or deployment build logs — and especially to diagnose why something failed. Triggers: "read the logs", "show me the dokploy logs", "tail the logs", "compose logs", "all containers' logs", "container logs", "why is my app crashing", "why did my deploy fail — check the logs", "grep the logs for an error", "runtime logs", "build logs". Use it instead of telling the user logs aren't available over the API — since Dokploy v0.29.0 they are.

agents-store Bundle

Migrate an OpenClaw instance's secrets from plaintext .env into self-hosted Infisical, then wire the Docker stack to inject them at runtime. Use when the user wants to move .env secrets into Infisical, eliminate plaintext API keys, set up SecretRef-backed config, or asks "migrate my secrets to Infisical". Pairs with the /infisical-migrate command. OAuth/CLI credentials stay in OpenClaw's encrypted store and are out of scope.

mkurman Bundle

Cloud computing platform for running Python on GPUs and serverless infrastructure. Use when deploying AI/ML models, running GPU-accelerated workloads, serving web endpoints, scheduling batch jobs, or scaling Python code to the cloud. Use this skill whenever the user mentions Modal, serverless GPU compute, deploying ML models to the cloud, serving inference endpoints, running batch processing in the cloud, or needs to scale Python workloads beyond their local machine. Also use when the user wants to run code on H100s, A100s, or other cloud GPUs, or needs to create a web API for a model.

mkurman Skill

Rowan is a cloud-native molecular modeling and medicinal-chemistry workflow platform with a Python API. Use for pKa and macropKa prediction, conformer and tautomer ensembles, docking and analogue docking, protein-ligand cofolding, MSA generation, molecular dynamics, permeability, descriptor workflows, and related small-molecule or protein modeling tasks. Ideal for programmatic batch screening, multi-step chemistry pipelines, and workflows that would otherwise require maintaining local HPC/GPU infrastructure.

mkurman Skill

ZenML — ML pipeline orchestration. Connect ML tools (MLflow, W&B, Airflow, Kubeflow) into portable pipelines. Caching, versioning, and cloud-agnostic stack management for production ML workflows.

mkurman Skill

Milvus — cloud-native vector database for billion-scale similarity search. GPU-accelerated indexing, hybrid search, multi-vector, streaming, and time travel. Distributed deployment with Kubernetes.

mkurman Skill

MLflow — open-source MLOps platform. Experiment tracking, model registry, packaging, deployment, and evaluation. Multi-cloud ML workflows with reproducible runs and artifact logging.

mkurman Skill

Qdrant — vector similarity search engine. Payload filtering, quantized indexing, multi-tenant, and horizontal scaling. REST and gRPC API. Docker-native deployment for production RAG and recommendation.

mkurman Skill

BentoML — model serving and deployment. Build prediction services from any ML framework with OpenAPI/Swagger. Containerize, deploy to Kubernetes, AWS, GCP, Azure. Adaptive batching and GPU support.

mkurman Skill

LanceDB — serverless vector database for AI. Columnar storage on Lance format, zero-copy access, multimodal search (text + images + audio), and direct DataFrame integration. No separate server.

mkurman 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 modeling, marine spatial analysis, atmospheric science, and any geospatial computation task.

mkurman 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.