incident-response
Coordinate security incident response efforts. Includes classification, playbook generation, evidence gathering, and remediation planning. Validates response strategies against best practices.
Coordinate security incident response efforts. Includes classification, playbook generation, evidence gathering, and remediation planning. Validates response strategies against best practices.
Run MadGraph5_aMC@NLO event generation for particle physics simulations via Magnus cloud. Triggers when the user wants to generate Monte Carlo events, simulate collider processes, or run MadGraph5. Supports Pythia8 parton shower and Delphes detector simulation.
Synthesize information across multiple sources into a structured document. Processes sources in batches across sessions to handle more data than fits in context. Discovers and queues related sources automatically. Use for research synthesis, topic deep-dives, or consolidating scattered notes. Triggers on "synthesize", "synthesis", "research [topic]".
Structure and write comprehensive research reports with proper citations. Use when finalizing research findings into a formal report.
Search academic paper repositories (arXiv, Semantic Scholar) for scholarly articles in physics, mathematics, computer science, quantitative biology, AI/ML, and related fields
Expert guidance on choosing the right geospatial tool based on problem type, accuracy requirements, and performance needs
End-to-end workflow to examine and summarise an ado discoveryspace — fetch space YAML, describe entity and measurement space structure, assess sampling coverage, export measurement data, and find related resources. Use when the user asks to inspect, summarise, debug, or analyse a discoveryspace; wants to understand dimensions, experiments, or sampling coverage; provides a space ID or asks to use --use-latest for the current space.
How to create and register compositions. The registry pattern, CompositionEntry type, track system. Read before adding or modifying compositions.
Record a learning. Use when discovering gotchas, bugs, or unexpected behavior that future sessions should know about.
Record a coding convention. Use when a repeated pattern should be codified so all sessions follow it consistently.
Audit alignment between docs and agent instructions. Use when recipes or docs make claims about agent behavior that may not be backed by the playbook or skills.
Query ado metadata and measurement data using CLI commands. Use when the user needs to find resources, filter by metadata, retrieve entities and measurements, or get resource schemas. Covers metastore queries (operations, discoveryspaces, samplestores, datacontainers, actuatorconfigurations) and samplestore queries (entities and measurements).
Migration monitoring, CDC, and observability infrastructure
SOTA Computer Vision Expert (2026). Specialized in YOLO26, Segment Anything 3 (SAM 3), Vision Language Models, and real-time spatial analysis.
Lab environment for Claude superpowers
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific dom...
Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.
Simulate peer review by constructing reviewer personas from Zotero sources. Identifies relevant perspectives, retrieves full texts, builds reviewer profiles, and generates focused reviews on theory/methods and findings.
Develop causal diagrams (DAGs) from social-science research questions and literature, then render publication-ready figures using Mermaid, R, or Python.
Master memory forensics techniques including memory acquisition, process analysis, and artifact extraction using Volatility and related tools. Use when analyzing memory dumps, investigating inciden...
Autonomous experiment loop that iteratively improves a measurable metric. Given a goal, a verify command, and an optional guard, the agent branches, makes one change, measures the result, and keeps or discards the experiment -- repeating indefinitely. Use this skill when the user wants to optimize something measurable through automated experimentation, autonomous improvement loops, or when they mention "autoresearch". Works for any domain with a quantifiable metric (code performance, ML training, build size, test scores, content quality metrics, etc.).