All Agent Skills
41,263 results
- dev.speculatekevinslinAlways use this skill to provide context on the codebase. Automatically initializes and references the Speculate documentation framework (coding rules, shortcuts, templates, and project specs) to ensure agents understand project structure, development workflows, and coding standards. Use for every task to maintain context and code quality.
- Devops PatternswebdevtodayjasonDevOps patterns including CI/CD pipeline design, GitHub Actions, Infrastructure as Code, Docker, Kubernetes, deployment strategies, monitoring, and disaster recovery. Use when setting up CI/CD, deploying applications, managing infrastructure, or creating pipelines.
- Dial Your Contextsanity-ioInteractive session to create Instructions field content for the Sanity Context MCP server. Use this skill whenever users mention tuning agent context, improving agent responses to Sanity data, configuring MCP instructions, setting up content filters, or when their agent gives wrong results from Sanity queries.
- Dingtalk ConnectionxiaomingxBridge DingTalk outgoing webhook messages to Clawdbot Gateway and send replies back to DingTalk sessions. Use when setting up DingTalk as a messaging channel, troubleshooting webhook delivery, or running the local bridge service.
- Discovery ResearchParth SanganiUse when synthesizing user research, analyzing interview data, conducting discovery sprints, evaluating evidence quality across sources, or building research-backed feature hypotheses
- Disenador Grafico ProfesionalNEXORATECHNOLOGYCEOAgente capaz de actuar como diseñador gráfico profesional para crear diseños de webs, aplicaciones, logos, materiales promocionales, etc., utilizando herramientas de generación de código, edición de imágenes y video.
- DoctoritsOmidKaramiDiagnoses an unhealthy Kraft server and applies the reload, restart or update its health check calls for. Use when the server seems unhealthy or unresponsive, work items are not being picked up, or an upgrade or config change needs applying. A repo that will not connect is kraft:onboard; a stopped work item is kraft:triage.
- Document ProcessingeyadsibaiUse when working with "PDF", "Excel", "Word", "PowerPoint", "XLSX", "DOCX", "PPTX", "spreadsheets", "presentations", "extract text", "merge documents", "convert documents", or asking about "office document manipulation
- Domain Model Boundaries Mapperpatricio0312revIdentifies domain modules, ownership boundaries, dependencies, and interfaces using Domain-Driven Design principles. Provides domain maps, bounded contexts, refactor recommendations. Use for "DDD", "domain modeling", "bounded contexts", or "service boundaries".
- Domino Ai GatewayDomino Data LabAccess external LLM providers through Domino AI Gateway - a secure proxy with centralized API key management, usage monitoring, and compliance. Supports OpenAI, AWS Bedrock, Azure OpenAI, Anthropic, and more. Use when calling LLMs from Domino, configuring AI Gateway endpoints, or monitoring LLM usage and costs.
- Domino API IntroDomino Data LabIntroduction to calling Domino platform APIs. Covers authentication (API proxy, PAT, service account), which host to use for which API, pagination limits, and common errors. Use before any other Domino API, SDK, app, extension, or governance automation skill.
- Domino AppsDomino Data LabDeploy web applications to Domino Data Lab with expertise in React apps (Vite) behind Domino's reverse proxy. Covers app.sh configuration, port configuration, base path handling for SPAs, CI/CD with GitHub Actions, and proxy troubleshooting. Use when deploying apps to Domino, setting up CI/CD pipelines, fixing broken routing, or configuring JavaScript frameworks for Domino's proxy.
- Domino Data ConnectivityDomino Data LabConnect Domino workloads to external data sources including AWS S3 (via Mountpoint CSI driver), credential propagation with AWS IRSA and Azure Entra ID, and External Data Volumes. Use when configuring S3 access, setting up credential propagation, or connecting to cloud data sources from Domino.
- Domino Data SdkDomino Data LabUse the domino-data Python SDK (dominodatalab-data) for programmatic data access in Domino. Covers DataSourceClient for SQL queries and object storage, DatasetClient for dataset files, TrainingSets for ML data versioning, Feature Store, and VectorDB (Pinecone) integration. Use when querying data sources, downloading datasets, managing training sets, or working with vector databases in Domino.
- Domino DatasetsDomino Data LabWork with Domino Datasets - high-performance, versioned filesystem storage. Covers dataset creation, snapshots for versioning, sharing across projects, mounting paths (/domino/datasets/), and performance optimization. Use when managing data storage, creating reproducible data versions, or sharing data between projects.
- Domino Distributed ComputingDomino Data LabWork with distributed computing frameworks in Domino including Apache Spark, Ray, and Dask clusters. Covers cluster configuration, on-demand clusters, choosing between frameworks, PySpark usage, and scaling workloads. Use when processing large datasets, parallel ML training, or running distributed compute jobs.
- Domino EnvironmentsDomino Data LabCreate and customize Domino Compute Environments - Docker containers defining tools, packages, and configurations. Covers Dockerfile customization, package installation, IDE configuration, DSE (Domino Standard Environments), and troubleshooting build failures. Use when installing dependencies, customizing environments, or fixing environment issues.
- Domino Experiment TrackingDomino Data LabTrack traditional ML experiments in Domino using the MLflow-based Experiment Manager. Covers experiment setup, auto-logging for sklearn/TensorFlow/PyTorch, manual logging, artifact storage, run comparison, and model registration. Use when training ML models, logging metrics and parameters, comparing model runs, or registering models.
- Domino ExtensionsDomino Data LabBuild and operate Domino UI Extensions (mount Domino Apps in the shell with page context). Covers extension_manifest.json, official installer vs manual Extension API, publish and identity requirements, auth and host splits, and beta REST routes. Use when creating an Extension, wiring mount points, publishing an Extension App from a project, or automating Extension install lifecycle.
- Domino FlowsDomino Data LabOrchestrate multi-step ML workflows using Domino Flows (built on Flyte). Define DAGs with typed inputs/outputs, heterogeneous environments, automatic lineage, and reproducibility. Use when building data pipelines, multi-stage training workflows, or processes requiring orchestration and monitoring.
- Domino Genai TracingDomino Data LabTrace and evaluate GenAI applications including LLM calls, agents, RAG pipelines, and multi-step AI systems in Domino. Uses the Domino SDK (@add_tracing decorator, DominoRun context) with MLflow 3.2.0. Captures token usage, latency, cost, tool calls, and errors. Supports LLM-as-judge evaluators and custom metrics.
- Domino GovernanceDomino Data LabManage model risk governance in Domino using policies, bundles, and evidence. Covers creating governance bundles, attaching model artifacts and MLflow results as evidence, progressing through policy stages, and documenting findings. Use when the user mentions governance, compliance, bundles, policies, model risk management, SR 11-7, NIST AI RMF, or audit trails.
- Domino JobsDomino Data LabCreate, run, and manage Domino Jobs - batch executions for scripts, training, and data processing. Covers job configuration, hardware tiers, scheduled jobs (cron), monitoring status, viewing logs, and API-driven execution. Use when running batch workloads, scheduling recurring tasks, or automating training pipelines.
- Domino LaunchersDomino Data LabCreate Domino Launchers - parameterized web forms for self-service job execution. Enable business users to run analyses, generate reports, and trigger batch predictions without coding. Covers parameter types, email notifications, result delivery, and access control. Use when building self-service data products or enabling non-technical users.