Agent Skills Hub

frontend-design-review

Review, audit, and build production-grade frontend interfaces with high design quality, accessibility standards, and design system compliance.

tzurot-council-mcp

Multi-perspective AI consultation for technical architecture, complex refactoring, and structured debugging.

variance-analysis

Decompose financial variances into drivers with narrative explanations and waterfall analysis. Optimize budget vs. actual reporting, P&L commentary, and forecast reconciliation.

deep-research

A systematic, multi-angle web research agent. Use for deep investigation, complex queries, and as a mandatory pre-research step before content generation to ensure evidence-backed, high-quality results.

scikit-learn

Classical machine learning with scikit-learn. Use for classification, regression, clustering, dimensionality reduction, preprocessing, model evaluation, and building robust ML pipelines in Python.

aesthetic

Create aesthetically beautiful interfaces using systematic design principles, AI-driven evaluation, and automated inspiration analysis.

product-management

AI-native product management tool for startups. Features automated competitor research, gap analysis using the WINNING filter, PRD generation, and GitHub Issues integration for prioritized, signal-based roadmap planning.

agent-system

Implementation patterns for MERIDIAN autonomous AI agents using Claude API, including BaseAgent lifecycle, structured tool use, token budget enforcement, and cron scheduling.

perf-analyzer

Synthesize performance profiling data into actionable recommendations and evidence-backed technical decisions.

equity-research

Generate professional equity research snapshots using consensus estimates, company fundamentals, historical pricing, and macroeconomic indicators to build investment theses.

skill-vetter

Security-first vetting protocol for AI agent skills. Detects red flags like credential theft, obfuscated code, and unauthorized data exfiltration before installation.

ReasoningBank with AgentDB

Implement ReasoningBank adaptive learning with AgentDB's ultra-fast vector backend. Features trajectory tracking, verdict judgment, memory distillation, and pattern recognition for self-learning autonomous agents.