Agent skill for pagerank-analyzer - invoke with $agent-pagerank-analyzer
Agent skill for production-validator - invoke with $agent-production-validator
Agent skill for pseudocode - invoke with $agent-pseudocode
Agent skill for hierarchical-coordinator - invoke with $agent-hierarchical-coordinator
Agent skill for sona-learning-optimizer - invoke with $agent-sona-learning-optimizer
Agent skill for orchestrator-task - invoke with $agent-orchestrator-task
Agent skill for v3-integration-architect - invoke with $agent-v3-integration-architect
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
Agent skill for workflow-automation - invoke with $agent-workflow-automation
Agent skill for agentic-payments - invoke with $agent-agentic-payments
Agent skill for security-manager - invoke with $agent-security-manager
Agent skill for swarm-pr - invoke with $agent-swarm-pr
Agent skill for worker-specialist - invoke with $agent-worker-specialist
Claims-based authorization for agents and operations. Grant, revoke, and verify permissions for secure multi-agent coordination. Use when: permission management, access control, secure operations, authorization checks. Skip when: open access, no security requirements, single-agent local work.
Overview of Experimental MVCC feature - snapshot isolation, versioning, limitations
General Correctness rules, Rust patterns, comments, avoiding over-engineering. When writing code always take these into account
Implements Manus-style file-based planning to organize and track progress on complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when asked to plan out, break down, or organize a multi-step project, research task, or any work requiring >5 tool calls. Supports automatic session recovery after /clear.
Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.
Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival Forests, Gradient Boosting models, or Survival SVMs, evaluating survival predictions with concordance index or Brier score, handling competing risks, or implementing any survival analysis workflow with the scikit-survival library.
Look up current research information using the Parallel Chat API (primary) or Perplexity sonar-pro-search (academic paper searches). Automatically routes queries to the best backend. Use for finding papers, gathering research data, and verifying scientific information.