DevOps & Infra

tangledgroup Bundle

High-performance distributed object storage system with S3-compatible API, OpenStack Swift support, and comprehensive observability features built in Rust. Use when deploying S3-compatible storage backends, configuring distributed clusters, integrating with Kubernetes via Helm, setting up TLS/mTLS, or building data lake solutions requiring high-throughput storage.

tangledgroup Bundle

Comprehensive reference for Docker platform including Docker Engine, Docker Desktop, Docker Compose, Docker Build/BuildKit, Docker Swarm, Dockerfile syntax, networking, volumes, security, and Docker Hub. Use when building containerized applications, writing Dockerfiles, configuring multi-container stacks with Compose, setting up container orchestration, managing images and registries, or troubleshooting Docker environments.

tangledgroup Bundle

CLI tool for validating JSON, YAML, TOML, and JSON5 files against JSON Schema. Use when verifying configuration files, CI/CD workflows, or any structured data against a schema in the terminal via `uvx check-jsonschema`. Supports local and remote schemas, 25+ builtin schemas for popular tools, and pre-commit integration.

tangledgroup Bundle

Lightweight Mermaid diagram syntax validator using the official mermaid parser with jsdom. Validates diagrams in markdown files, standalone .mmd files, directories, and stdin with JSON output support. Use when checking Mermaid diagram syntax for correctness before rendering, validating documentation containing Mermaid charts, or integrating diagram validation into CI/CD pipelines.

tangledgroup Bundle

Query, transform, and convert YAML, JSON, XML, INI, TOML, HCL, CSV, TSV, Properties, Lua, Shell variables, and Base64 data using jq-like expressions. Use when the user mentions yq, YAML processing, JSON-to-YAML conversion, config file manipulation, Kubernetes YAML editing, or any structured data transformation task. Supports multi-document YAML, anchors/aliases, comments, and in-place updates.

tangledgroup Bundle

Operate rqlite 10.2.4 — distributed SQLite database with Raft consensus. Use for deploying, configuring, querying, backing up, and managing rqlite clusters. Covers rqlited server flags, HTTP API (/db/execute, /db/query, /db/request), CLI (.status, .backup, .nodes), clustering (join, DNS, Consul, etcd, Kubernetes), TLS/mTLS auth, queued writes, CDC, consistency levels, and SQLite extensions. Use whenever the user mentions rqlite, distributed SQLite, Raft database, or needs a lightweight fault-tolerant relational store.

tangledgroup Bundle

Comprehensive guide to scikit-learn 1.9.0 — the Python machine learning library. Use when working with ML models, pipelines, preprocessing, model selection, metrics, or any data science task using scikit-learn. Covers classification, regression, clustering, dimensionality reduction, ensemble methods, hyperparameter tuning, cross-validation, feature engineering, and more. Trigger on: sklearn, scikit-learn, machine learning, ML pipeline, model training, cross-validation, GridSearchCV, Random Forest, SVM, logistic regression, PCA, KMeans, train_test_split, metrics.

marielynneblock Bundle

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-based Forge API for scalable inference.

marielynneblock 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.

marielynneblock Bundle

Cloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including pKa prediction, geometry optimisation, conformer searching, molecular property calculations, protein-ligand docking (AutoDock Vina), and AI protein cofolding (Chai-1, Boltz-1/2). Use when tasks involve quantum chemistry calculations, molecular property prediction, DFT or semiempirical methods, neural network potentials (AIMNet2), protein-ligand binding predictions, or automated computational chemistry pipelines. Provides cloud compute resources with no local setup required.

marielynneblock Bundle

Standard single-cell RNA-seq analysis pipeline. Use for QC, normalisation, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, and visualisation. Best for exploratory scRNA-seq analysis with established workflows. For deep learning models use scvi-tools; for data format questions use anndata.

marielynneblock Bundle

Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimisation. Also use for submitting experiments via API, tracking experiment status, downloading results, optimising protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.

domehahn Bundle

Review CI/CD pipelines, runners, permissions, artifacts, caches, deployment gates, and token exposure.

domehahn Bundle

Review cloud costs, budgets, rightsizing, reserved or committed usage, anomalies, showback or chargeback, and team cost transparency.

domehahn Bundle

Review code, CI/CD, configuration, permissions, dependencies, input validation, and DevSecOps risks.

domehahn Bundle

Review Terraform, Kubernetes, Helm, Kustomize, GitOps reconciliation, promotion, and environment safety.

domehahn Skill

Kubernetes Deployer

domehahn Skill

Minimal K8s Deployer

domehahn Bundle

Create and review policies for OPA/Rego, Kyverno, GitLab Policies, Conftest, Checkov, Terraform, Kubernetes, and CI/CD gates.

domehahn Skill

Terraform Static Security Scanner

domehahn Skill

Kubernetes Enterprise Deployer

domehahn Bundle

Create auditable evidence packages from tickets, pipeline results, test reports, approvals, scans, and architecture information.

domehahn Bundle

Review IAM, roles, service accounts, groups, tokens, OIDC federation, GitLab or GitHub permissions, cloud rights, and privilege-escalation paths.

domehahn Bundle

Review cloud naming, tags, ownership, cost centers, allowed services, regions, data classification, policy enforcement, and audit evidence.

domehahn Bundle

Review cloud accounts or subscriptions, networks, IAM, logging, policies, baselines, guardrails, encryption, tagging, and tenant separation.

domehahn Bundle

Assess maturity across plan, code, build, test, release, deploy, and operate with automation, security gates, ownership, and feedback loops.

domehahn Bundle

Design and review secure CI/CD pipelines with isolated runners, minimal rights, OIDC, signed artifacts, protected environments, and approval gates.

domehahn Bundle

Review Kubernetes clusters, namespaces, RBAC, NetworkPolicies, Pod Security, admission controllers, resource limits, secrets, ingress, tenancy, and upgrades.

domehahn Skill

Kubernetes Security Auditor

domehahn Bundle

Review cloud, SaaS, outsourcing, subcontractors, contracts, exit strategies, concentration risks, and DORA information-register readiness.

domehahn Bundle

Review exit plans, data return, provider transitions, emergency operations, suboutsourcing, cloud dependencies, and business impact.

domehahn Skill

K8s Deployment Manager

domehahn Bundle

Checks that a local AWS credentials file is present and well-formed, without transmitting it anywhere.

domehahn Skill

Generates a production deployment plan.

internscience Skill

Genome Annotation Pipeline - Annotate a genome: NCBI annotation report, Ensembl gene lookup, UCSC tracks, and KEGG pathway links. Use this skill for genomics tasks involving get genome annotation report get lookup symbol list tracks kegg link. Combines 4 tools from 4 SCP server(s).

internscience Skill

Affinity Maturation Pipeline - Affinity maturation: compute binding affinity, predict mutations, compute hydrophilicity, and predict drug-target interaction. Use this skill for antibody engineering tasks involving ComputeAffinityCalculator zero shot sequence prediction ComputeHydrophilicity PredictDrugTargetInteraction. Combines 4 tools from 3 SCP server(s).