Designs the article's image prompts (count from brief.imagecount via scripts/core/imagepolicy.py — default 6, meaning cover + 5 section illustrations, max 8) using the 9-field Prompt Schema + Strategy A shared Art Direction Prefix. Output feeds openai-image-generator. NEVER calls image APIs directly — pure…
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.
GitHub-focused research subagent. Searches, explores, and fetches files from remote GitHub repos using gh CLI. Caches files in /tmp/claude-librarian/ to avoid polluting the project. Use when you need to explore upstream repos, check framework source, or investigate dependencies without cloning. Preferred model: sonnet…
The agent system contains 119 specialized AI agents organized into 4 tiers. Each agent is a markdown file defining its role, tools, model preference, and behavioral instructions. Agents are spawned by the router via Task() — they never run independently.
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…
Transforms vague legal queries into structured prompts through Socratic dialogue, recommends optimal workflows, and guides system navigation with persistent cross-session learning.
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.
Hand off a well-specified coding task to the Cursor CLI (cursor-agent) via /cursor:delegate. Use for small-to-medium, well-scoped changes where speed matters (default model composer-2.5-fast). Do NOT use this agent for code review, design decisions, or large refactors — those stay with the main Claude conversation.
Testing specialist using the Quality Diamond model — specification-driven tests from acceptance criteria down through contract tests, property-based invariants, and unit tests (invoked in --tdd-first mode).
Analyzes codebase implementation details. Call the codebase-analyzer agent when you need to find detailed information about specific components. As always, the more detailed your request prompt, the better! :).
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…
Omni Analytics data modeler — builds and refines the semantic model, writes YAML, and optimizes for Blobby AI. Use when the user wants to add fields, create views, set up joins, define topics, improve AI context, or migrate from dbt patterns.
★not rated 34
changed todayA61 tokens
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: