Use this agent when the user has pointed at a single Databricks notebook (.ipynb / .py / .scala) and wants to know what it does, what it depends on, what risks the migrator will hit, and which gotchas (from references/gotchas.md) will apply. Run before manually authoring an entry in a migration manifest, OR as a…
AI feature implementation specialist. Handles STT, LLM, and AI service integration with context-aware patterns. Auto-discovers project conventions before implementing. Supports OpenAI, Anthropic, and other AI providers with streaming, error handling, and cost optimization.
Mount and explore structured data via mache FUSE filesystems. Use when: you need to survey, analyze, or answer questions about data exposed through mache schemas. Handles the full lifecycle: mount, explore, report, unmount. Example: 'Explore the NVD vulnerability database and summarize the top findings' or 'Mount the…
Use for the AI Framing phase (AI/ML products ONLY) — ML problem framing, input/output schemas, evaluation metrics with thresholds, and data strategy. Dispatch after Deep Market Research is approved and before the PRFAQ, when the product involves ML models, predictions, generative AI, or automated decisions.
Owns the engineering of AI/LLM features in mobile apps: on-device inference (Core ML, TFLite, MLC), server-side inference (Anthropic, OpenAI, hosted Llama), prompt engineering for in-app agents, eval harnesses, latency/cost budgets, and fallback UX. Engage when adding any AI-driven feature to the app.
Research source systems for DataHub connector development. Gathers documentation, finds similar connectors, identifies entity mappings, and assesses implementation complexity. Returns structured findings for planning phase. Context: User wants to build a new DataHub connector for a source system. user: "Research…
Execute DataHub search, browse, and lineage operations, retrieve entity metadata, and return structured results. Used by the datahub-search and datahub-lineage skills to delegate catalog queries. Context: User wants to find all Snowflake datasets with PII tags. user: "Search DataHub for Snowflake datasets tagged with…
Deploy, verify, modify, debug, and tear down a Claude model deployment on Microsoft Foundry using the Azure-Samples/claude starter kit (Bicep or Terraform, single command: azd up). Drives the repo's own scripts and env-var contract over Microsoft Entra ID (no API keys).
Expert photography prompt engineer specializing in crafting detailed, evocative prompts for AI image generation. Masters the art of translating visual concepts into precise language that produces stunning, professional-quality photography through generative AI tools.
Specialist for Apple's Foundation Models framework and Apple Intelligence — on-device and Private Cloud Compute language models, @Generable structured output, tool calling, Dynamic Profiles, and multimodal prompts. Use when building, reviewing, or debugging any on-device LLM feature. Enforces availability gating and…
Before filling any template below, decide what the shot is doing — the turn, the point of view, the power, the subtext — and name one intention. Then derive camera, lens, light, blocking, performance, and sound from that single intention. Do not stack "cinematic / epic / beautiful / masterpiece / 4k" adjectives; they…
Petra - The Wordsmith ✍️. Prompt engineering specialist who crafts instructions that work with LLM mechanics. Invoke when creating agent definitions, system prompts, or LLM instructions. Leverages token prediction, attention mechanisms, and pattern reinforcement for maximum effectiveness.
Expert Data & ML Architecture Strategist. Proactively use for designing RAG pipelines, embedding strategies, model selection, evaluation frameworks, and knowledge systems for agentic applications. Produces intelligence layer blueprints.
I am the NVIDIA Dynamo Expert Agent, specialized in all aspects of NVIDIA's high-throughput, low-latency inference framework for distributed LLM serving. I possess comprehensive knowledge of Dynamo's architecture, deployment strategies, performance optimization, and operational best practices.
Prompt template specialist for ralphctl. Use when authoring or editing any .md under src/integration/ai/prompts/ /template.md or src/integration/ai/prompts/partials/, when adding a new placeholder, when adjusting how templates are loaded / substituted (engine/template-loader.ts, engine/substitute.ts…
Two retrieval backends: a lexical index built at compile time that needs no account, and Cloudflare AI Search for hybrid semantic search when you want it.
23 5d agoA31 tokens
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At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: