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Found 529 Skills
Generates a Jupyter notebook that fine-tunes a base model using SageMaker serverless training jobs. Use when the user says "start training", "fine-tune my model", "I'm ready to train", or when the plan reaches the finetuning step. Supports SFT, DPO, and RLVR trainers, including RLVR Lambda reward function creation.
Generates a Jupyter notebook that deploys fine-tuned models from SageMaker Serverless Model Customization to SageMaker endpoints or Bedrock. Use when the user says "deploy my model", "create an endpoint", "make it available", or asks about deployment options. Identifies the correct deployment pathway (Nova vs OSS), generates deployment code, and handles endpoint configuration.
Use Tabbit with agent-browser by reading Tabbit's live DevToolsActivePort file, deriving the browser wsEndpoint, and routing browser actions through agent-browser --cdp.
Use when managing Function Compute AgentRun resources via OpenAPI (runtime, sandbox, model, memory, credentials), including creating runtimes/endpoints, querying status, and troubleshooting AgentRun workflows.
Use when users need command-line operations on Alibaba Cloud resources (list/query/create/update/delete), credential/profile setup, region/endpoint selection, or API discovery from CLI.
Use when managing Alibaba Cloud RDS Supabase (RDS AI Service 2025-05-07) via OpenAPI, including creating, starting/stopping/restarting instances, resetting passwords, querying endpoints/auth/storage, configuring auth/RAG/SSL/IP whitelist, and listing instance details or conversations.
Build high-performance APIs with Django-Bolt, including BoltAPI routes, typed request validation, msgspec serialization, auth guards, middleware, OpenAPI docs, pagination, streaming, SSE, WebSockets, and testing. Use when the user asks to create a new bolt endpoint, set up a Django-Bolt project, add JWT or API key auth, configure runbolt, wire guards or middleware, add pagination or streaming, generate OpenAPI docs, write TestClient tests, or migrate from FastAPI, Django REST Framework, or Django Ninja to django-bolt. Do NOT use for general Django views, Django admin customization, or standard Django REST Framework work.
When the user wants to create, optimize, or audit the API introduction/overview page. Also use when the user mentions "API page," "API landing page," "/api page," "API overview," "developer landing," "API marketing," or "API for developers." Note: API documentation (endpoint reference) lives in docs; use docs-page-generator.
LeadMagic platform help — Email Finder (97% accuracy), Email Validation (catch-all detection), Mobile Finder, Profile Search, Personal Email Finder, Company Search (firmographics), Technographics, Company Funding, Employee Finder, Role Finder, Job Change Detector, Jobs Finder, Google/Meta/B2B Ads Search, REST API (19 endpoints), MCP Server (Claude/Cursor/Windsurf), CLI. Use when asking 'how do I use LeadMagic', 'LeadMagic API', 'LeadMagic email finder', 'LeadMagic mobile finder', 'LeadMagic company search', 'LeadMagic ads intelligence', 'LeadMagic MCP', 'LeadMagic vs Apollo', 'LeadMagic vs Clay'. Do NOT use for enrichment strategy across tools (use /sales-enrich), prospect list strategy across tools (use /sales-prospect-list), intent signal strategy across tools (use /sales-intent), or competitive intelligence strategy across tools (use /sales-compete).
Build .NET applications with WolverineFX for messaging, HTTP services, and event sourcing. Use when implementing command handlers, message handlers, HTTP endpoints with WolverineFx.HTTP, transactional outbox patterns, event sourcing with Marten, CQRS architectures, cascading messages, batch message processing, or configuring transports like RabbitMQ, Azure Service Bus, or Amazon SQS.
On-demand and reserved GPU clusters (H100, H200, B200) on Together AI with Kubernetes or Slurm orchestration, shared storage, credential management, and cluster scaling for ML and HPC jobs. Reach for it when the user needs multi-node compute or infrastructure control rather than a managed model endpoint.
Use when the task involves general NextPay Partners API v2 integration work, especially setting up Basic Auth, choosing between merchant, account, funding-method, payment-intent, payout, webhook, or sandbox simulation endpoints, generating request or response examples, or explaining integration behavior from the OpenAPI spec.