Agent skills for VS Code

Analyze data source characteristics including update frequency, volume patterns, and schema stability.

Implement tasks from an OpenSpec change (Experimental)

Enter explore mode - think through ideas, investigate problems, clarify requirements

Propose a new change - create it and generate all artifacts in one step

Evaluate source quality, build annotated bibliographies, and maintain curated reference collections.

Internal-only TypeScript packages in a monorepo should export source, not a compiled dist/.

Source reputation tiers, cross-referencing methodology, bias detection, and citation format requirements

Performance profiling principles. Measurement, analysis, and optimization techniques.

Structured task planning with clear breakdowns, dependencies, and verification criteria.

PowerShell Windows patterns. Critical pitfalls, operator syntax, error handling.

Project scaffolding templates for new applications.

Tailwind CSS v4 principles. CSS-first configuration, container queries, modern patterns, design token architecture.

spaCy NER model training and entity extraction for conversational AI

Agent skill for sparc-coordinator - invoke with $agent-sparc-coordinator

Agent skill for specification - invoke with $agent-specification

Comprehensive guide to Spark Structured Streaming for production workloads.

Troubleshoot Spark applications on AWS EMR, Glue, and SageMaker - analyze failures, identify bottlenecks, get code recommendations.

Graph analytics over a sparq RDF graph with the opt-in sparq-algos crate: project the graph onto a directed NodeGraph and run PageRank…

Help users build sparse Merkle trees with Poseidon or SHA-256 hashing for ZK circuits, privacy pools, and state commitments using…

Minimal SPARV workflow (Specify→Plan→Act→Review→Vault) with 10-point spec gate, unified journal, 2-action saves, 3-failure protocol, and…

Check that a spec has need, scope, impacts, tests, assumptions, open questions and links to relevant corpus files.