registry AI Agent Skills
Browse 319 skills related to registry
skill-lookup
Search, retrieve, and install Agent Skills from the prompts.chat registry using MCP tools. Use when the user asks to find skills, browse skill catalogs, install a skill for Claude, or extend Claude's capabilities with reusable AI agent components.
benchling-integration
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
weights-and-biases
Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform
mlflow
Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform
V3 MCP Optimization
MCP server optimization and transport layer enhancement for claude-flow v3. Implements connection pooling, load balancing, tool registry optimization, and performance monitoring for sub-100ms response times.
benchling-integration
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
nginx-to-higress-migration
Migrate from ingress-nginx to Higress in Kubernetes environments. Use when (1) analyzing existing ingress-nginx setup (2) reading nginx Ingress resources and ConfigMaps (3) installing Higress via helm with proper ingressClass (4) identifying unsupported nginx annotations (5) generating WASM plugins for nginx snippets/advanced features (6) building and deploying custom plugins to image registry. Supports full migration workflow with compatibility analysis and plugin generation.
ui-development
Build UI with Redpanda Registry components, Tailwind v4, and accessibility best practices.
writing-registry-meta
Use this skill when writing meta file for MUI Treasury registry.
molt-registry
Official Moltbook Identity Registry interface. Verify yourself, lookup others, and build on-chain reputation.
agent-registry
MANDATORY agent discovery system for token-efficient agent loading. Claude MUST use this skill instead of loading agents directly from ~/.claude/agents/ or .claude/agents/. Provides lazy loading via search and get tools. Use when: (1) user task may benefit from specialized agent expertise, (2) user asks about available agents, (3) starting complex workflows that historically used agents. This skill reduces context window usage by ~95% compared to loading all agents upfront.
skills-search
Search skills.sh registry from CLI. Find and discover agent skills from the skills.sh ecosystem.
jb-suckers
Juicebox V5 sucker contracts for cross-chain token bridging. Use when: (1) implementing bridge functionality, (2) understanding prepare/toRemote/claim flow, (3) working with merkle proofs for cross-chain claims, (4) querying sucker pairs from registry, (5) handling emergency exits, (6) debugging "claimable" vs "pending" states, (7) encoding sucker transaction calldata. Covers JBSucker, JBOptimismSucker, JBArbitrumSucker, JBCCIPSucker, and JBSuckerRegistry.
registry-broker
Search 72,000+ AI agents across 14 registries, chat with any agent, register your own. Powered by Hashgraph Online Registry Broker.
crabnet
Interact with the CrabNet cross-agent collaboration registry. Use when discovering other agents' capabilities, registering your own capabilities, posting tasks for other agents, claiming/delivering work, or searching for agents who can help with specific skills. Enables agent-to-agent collaboration and task exchange.
jb-terminal-wrapper
Terminal wrapper pattern for extending JBMultiTerminal functionality. Use when: (1) need dynamic splits at pay time, (2) revnet can't modify ruleset data hooks, (3) want atomic pay + distribute operations, (4) need to intercept/redirect tokens before delivery, (5) implementing pay-time configuration, (6) cash out + bridge/swap in one tx, (7) cash out + stake redeemed funds. Covers IJBTerminal implementation, _acceptFunds pattern from JBSwapTerminalRegistry, beneficiary manipulation for both pay and cash out flows, and the critical mental model that wrappers are additive (not restrictive).
clawdnet
Register and manage AI agents on ClawdNet, the decentralized agent registry. Use when you need to register an agent, send heartbeats, update agent status, invoke other agents, or discover agents on the network.
registry-component-patterns
Register components in registry.json for shadcn/ui add command. Apply when adding new 8-bit components to the component library.
fumadocs-registry-integration
Register 8-bit components in registry.json for shadcn/ui add command. Apply when adding new components to the component library distribution.
azure-containerregistry-py
Azure Container Registry SDK for Python. Use for managing container images, artifacts, and repositories. Triggers: "azure-containerregistry", "ContainerRegistryClient", "container images", "docker registry", "ACR".
azure-mgmt-weightsandbiases-dotnet
Azure Weights & Biases SDK for .NET. ML experiment tracking and model management via Azure Marketplace. Use for creating W&B instances, managing SSO, marketplace integration, and ML observability. Triggers: "Weights and Biases", "W&B", "WeightsAndBiases", "ML experiment tracking", "model registry", "experiment management", "wandb".
azure-ai-ml-py
Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines. Triggers: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
azure-mgmt-weightsandbiases-dotnet
Azure Weights & Biases SDK for .NET. ML experiment tracking and model management via Azure Marketplace. Use for creating W&B instances, managing SSO, marketplace integration, and ML observability. Triggers: "Weights and Biases", "W&B", "WeightsAndBiases", "ML experiment tracking", "model registry", "experiment management", "wandb".
azure-containerregistry-py
Azure Container Registry SDK for Python. Use for managing container images, artifacts, and repositories. Triggers: "azure-containerregistry", "ContainerRegistryClient", "container images", "docker registry", "ACR".
azure-ai-ml-py
Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines. Triggers: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
model-registry-manager
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".
databricks-core-workflow-b
Execute Databricks secondary workflow: MLflow model training and deployment. Use when building ML pipelines, training models, or deploying to production. Trigger with phrases like "databricks ML", "mlflow training", "databricks model", "feature store", "model registry".
tracking-model-versions
This skill enables Claude to track and manage AI/ML model versions using the model-versioning-tracker plugin. It should be used when the user asks to manage model versions, track model lineage, log model performance, or implement version control for AI/ML models. Use this skill when the user mentions "track versions", "model registry", "MLflow", or requests assistance with AI/ML model deployment and management. This skill facilitates the implementation of best practices for model versioning, automation of model workflows, and performance optimization.
architecture-design
Use ONLY when creating NEW registrable components in ML projects that require Factory/Registry patterns. ✅ USE when: - Creating a new Dataset class (needs @register_dataset) - Creating a new Model class (needs @register_model) - Creating a new module directory with __init__.py factory - Initializing a new ML project structure from scratch - Adding new component types (Augmentation, CollateFunction, Metrics) ❌ DO NOT USE when: - Modifying existing functions or methods - Fixing bugs in existing code - Adding helper functions or utilities - Refactoring without adding new registrable components - Simple code changes to a single file - Modifying configuration files - Reading or understanding existing code Key indicator: Does the task require @register_* decorator or Factory pattern? If no, skip this skill.
model-registry-maintainer
Guide for maintaining the MassGen model and backend registry. This skill should be used when adding new models, updating model information (release dates, pricing, context windows), or ensuring the registry stays current with provider releases. Covers both the capabilities registry and the pricing/token manager.
sse-resilience
Redis-backed SSE stream management with stream registry, heartbeat monitoring, completion store for terminal events, and automatic orphan cleanup via background guardian process.
skill-creator-doctor
Create, repair, maintain, and consolidate skills. This skill should be used when users want to create new skills, fix broken skills that won't load, diagnose skill system issues, maintain skill health, or consolidate duplicate/obsolete skills. Automatically detects and repairs common skill loading problems including missing registry entries, metadata format issues, and structural problems. Provides comprehensive skill ecosystem management including duplicate detection, merge workflows, and archival processes.
skills-search
This skill should be used when users want to search, discover, install, or manage Claude Code skills from the CCPM registry. Triggers include requests like "find skills for PDF", "search for code review skills", "install cloudflare-troubleshooting", "list my installed skills", "what does skill-creator do", or any mention of finding/installing/managing Claude Code skills or plugins.
terraform-stacks
Comprehensive guide for working with HashiCorp Terraform Stacks. Use when creating, modifying, or validating Terraform Stack configurations (.tfcomponent.hcl, .tfdeploy.hcl files), working with stack components and deployments from local modules, public registry, or private registry sources, managing multi-region or multi-environment infrastructure, or troubleshooting Terraform Stacks syntax and structure.
push-to-registry
Push Packer build metadata to HCP Packer registry for tracking and managing image lifecycle. Use when integrating Packer builds with HCP Packer for version control and governance.
tech-logos
Install official tech brand logos from the Elements registry. Use when user needs logos for tech companies (Clerk, Vercel, GitHub, etc.), AI providers (OpenAI, Anthropic, Claude), social platforms, or any brand assets. Triggers on "logo", "brand", "icon for [company]", "add [company] logo", placeholder logo detection, or when building landing pages, auth UIs, or integrations showcases.
create-element
Create new UI elements for tryelements.dev registry. Use when: (1) Adding new UI components (buttons, inputs, cards), (2) Building integration components (Clerk, Stripe, Uploadthing), (3) Creating theme-related elements, (4) Any shadcn-style registry component. IMPORTANT: For logo components with variants (icon/wordmark/logo + dark/light), use the logo-with-variants skill instead. This skill includes scaffolding, registry schema, and component patterns. ALWAYS use Context7 MCP to fetch latest dependency docs before implementing.
mlflow-experiment-tracker
MLflow integration skill for experiment tracking, model registry, and artifact management. Enables LLMs to log experiments, compare runs, manage model lifecycle, and retrieve artifacts through the MLflow API.
plugin-registry-manager
Manage SDK plugin discovery and registration
npm-publish-config
Configure npm publishing with proper bin entry, files, and registry settings.
implementing-mlops
Strategic guidance for operationalizing machine learning models from experimentation to production. Covers experiment tracking (MLflow, Weights & Biases), model registry and versioning, feature stores (Feast, Tecton), model serving patterns (Seldon, KServe, BentoML), ML pipeline orchestration (Kubeflow, Airflow), and model monitoring (drift detection, observability). Use when designing ML infrastructure, selecting MLOps platforms, implementing continuous training pipelines, or establishing model governance.
publish-mock-server
Build and publish the mock-server Docker image to GitHub Container Registry. Use when mock server fixtures or code have changed and need to be published.
V3 MCP Optimization
MCP server optimization and transport layer enhancement for claude-flow v3. Implements connection pooling, load balancing, tool registry optimization, and performance monitoring for sub-100ms response times.
building-with-kafka-strimzi
Use when building event-driven systems with Apache Kafka on Kubernetes. Triggers include EDA patterns, Kafka producers/consumers, Strimzi operator deployment, Schema Registry, transactions, exactly-once semantics. NOT for general messaging (use Dapr pub/sub for abstraction).
worktree-manager
Create, manage, and cleanup git worktrees with Claude Code agents across all projects. USE THIS SKILL when user says "create worktree", "spin up worktrees", "new worktree for X", "worktree status", "cleanup worktrees", "sync worktrees", or wants parallel development branches. Also use when creating PRs from a worktree branch (to update registry with PR number). Handles worktree creation, dependency installation, validation, agent launching in Ghostty, and global registry management.
sap-cloud-sdk-ai
Integrates SAP Cloud SDK for AI into JavaScript/TypeScript and Java applications. Use when building applications with SAP AI Core, Generative AI Hub, or Orchestration Service. Covers chat completion, embedding, streaming, function calling, content filtering, data masking, document grounding, prompt registry, and LangChain/Spring AI integration. Supports OpenAI GPT-4o, Claude, Gemini, Amazon Nova, and other foundation models via SAP BTP.
otp-thinking
This skill should be used when the user asks to "add background processing", "cache this data", "run this async", "handle concurrent requests", "manage state across requests", "process jobs from a queue", "this GenServer is slow", or mentions GenServer, Supervisor, Agent, Task, Registry, DynamicSupervisor, handle_call, handle_cast, supervision trees, fault tolerance, "let it crash", or choosing between Broadway and Oban.
linggen
Use Linggen for cross-project code search, indexed context, and prompt enhancement. For single-repo tasks, use local repo tools first; Linggen server startup is optional. A skill registry for lookup and install.