Migrate an MLflow ResponsesAgent from Databricks Model Serving to Databricks Apps. Use when: (1) User wants to migrate from Model Serving to Apps, (2) User has a ResponsesAgent with predict()/predict_stream() methods, (3) User wants to convert to @invoke/@stream decorators.

Migrate an MLflow ResponsesAgent from Databricks Model Serving to Databricks Apps. Use when: (1) User wants to migrate from Model Serving to Apps, (2) User has a ResponsesAgent with predict()/predict_stream() methods, (3) User wants to convert to @invoke/@stream decorators.

Migrate an MLflow ResponsesAgent from Databricks Model Serving to Databricks Apps. Use when: (1) User wants to migrate from Model Serving to Apps, (2) User has a ResponsesAgent with predict()/predict_stream() methods, (3) User wants to convert to @invoke/@stream decorators.

Migrate an MLflow ResponsesAgent from Databricks Model Serving to Databricks Apps. Use when: (1) User wants to migrate from Model Serving to Apps, (2) User has a ResponsesAgent with predict()/predict_stream() methods, (3) User wants to convert to @invoke/@stream decorators.

Migrate an MLflow ResponsesAgent from Databricks Model Serving to Databricks Apps. Use when: (1) User wants to migrate from Model Serving to Apps, (2) User has a ResponsesAgent with predict()/predict_stream() methods, (3) User wants to convert to @invoke/@stream decorators.

Migrate an MLflow ResponsesAgent from Databricks Model Serving to Databricks Apps. Use when: (1) User wants to migrate from Model Serving to Apps, (2) User has a ResponsesAgent with predict()/predict_stream() methods, (3) User wants to convert to @invoke/@stream decorators.

Orchestrates test-driven fixes for Mattermost security tickets (Jira/Atlassian) with a Staff Security Engineer mindset: failing secure-behavior tests first, then implementation, then security review and edge-case loops, then opening a non-draft PR that follows `.github/PULL_REQUEST_TEMPLATE.md` when present, with a vague public description (no exploit detail). Use when the user invokes /security-fix:security-fix with a mattermost.atlassian.net browse URL, MM-* security work, backend permission or authorization bugs, or asks for this security TDD workflow.

Optimize LangChain API costs with token tracking, model tiering, caching, prompt compression, and budget enforcement. Trigger: "langchain cost", "langchain tokens", "reduce langchain cost", "langchain billing", "langchain budget", "token optimization".

Download and store Kling AI generated videos in cloud storage (S3, GCS, Azure). Use when persisting videos or building CDN pipelines. Trigger with phrases like 'klingai storage', 'save klingai video', 'kling ai s3 upload', 'klingai cloud storage'.

Demo Endor Labs capabilities using simulated data, no account required. Use when the user says "try endor", "demo", "endor without account", "show me what endor can do", or when MCP auth fails and user wants to see capabilities before signing up. Do NOT use when the user has a working Endor Labs account — use real scans instead.

Implement Groq reference architecture with model routing, streaming pipelines, and fallbacks. Use when designing new Groq integrations, reviewing project structure, or establishing architecture standards for Groq applications. Trigger with phrases like "groq architecture", "groq best practices", "groq project structure", "how to organize groq", "groq design".

Set up observability for Groq integrations: latency histograms, token throughput, rate limit gauges, cost tracking, and Prometheus alerts. Trigger with phrases like "groq monitoring", "groq metrics", "groq observability", "monitor groq", "groq alerts", "groq dashboard".

Execute Groq secondary workflows: audio transcription (Whisper), vision, text-to-speech, and batch model evaluation. Trigger with phrases like "groq whisper", "groq transcription", "groq audio", "groq vision", "groq TTS", "groq speech".

Manage Granola data export, retention policies, GDPR/CCPA compliance, and archival workflows. Handle Subject Access Requests and Right to Erasure. Trigger: "granola export", "granola data", "granola GDPR", "granola retention", "granola delete data", "granola compliance".

Generate presentations, documents, and webpages via Gamma API. Use when creating content from text prompts, configuring themes, image styles, text modes, and output formats. Trigger: "gamma generate", "gamma presentation from text", "gamma AI slides", "gamma create deck", "gamma content generation".

Optimize Fireflies.ai subscription costs through seat auditing, selective recording, and plan sizing. Use when analyzing Fireflies.ai billing, reducing per-seat costs, or implementing usage monitoring and right-sizing. Trigger with phrases like "fireflies cost", "fireflies billing", "reduce fireflies costs", "fireflies pricing", "fireflies expensive", "fireflies budget".

Search across Fireflies.ai transcripts, use AskFred AI, and build meeting analytics. Use when searching meeting history, querying Fred AI assistant, or aggregating meeting data for reports. Trigger with phrases like "fireflies search", "ask fred", "fireflies analytics", "search meetings", "fireflies AskFred".

Implement Firecrawl reference architecture with scrape/crawl/map/extract pipelines. Use when designing new Firecrawl integrations, reviewing project structure, or building content ingestion pipelines for AI/RAG applications. Trigger with phrases like "firecrawl architecture", "firecrawl project structure", "firecrawl pipeline", "firecrawl RAG", "firecrawl knowledge base".

Databricks SQL (DBSQL) advanced features and SQL warehouse capabilities. This skill MUST be invoked when the user mentions: "DBSQL", "Databricks SQL", "SQL warehouse", "SQL scripting", "stored procedure", "CALL procedure", "materialized view", "CREATE MATERIALIZED VIEW", "pipe syntax", "|>", "geospatial", "H3", "ST_", "spatial SQL", "collation", "COLLATE", "ai_query", "ai_classify", "ai_extract", "ai_gen", "AI function", "http_request", "remote_query", "read_files", "Lakehouse Federation", "recursive CTE", "WITH RECURSIVE", "multi-statement transaction", "temp table", "temporary view", "pipe operator". SHOULD also invoke when the user asks about SQL best practices, data modeling patterns, or advanced SQL features on Databricks.

Authenticate with AEM Edge Delivery Services Config Service API. Opens a browser window for Adobe ID login and captures the auth token when browser is closed. Use when generating guides/documentation that require API access.