By Agentient
Multi-expert evaluation patterns for structured analysis, deliberation, and decision-making
Systematic completeness audit of Architecture Documentation using 188-item viewpoint-based checklist, severity-classified gap detection, technical debt indicators, and architecture anti-pattern scanning. Supports TOGAF, C4, arc42, and IEEE 42010 frameworks. PROACTIVELY activate for: (1) Architecture review gates, (2) ADR validation before implementation, (3) C4 diagram completeness check, (4) Technical debt assessment, (5) Pre-implementation validation, (6) Governance compliance audit, (7) Design doc handoff review. Triggers: "audit architecture", "review ADR", "check architecture doc", "validate design doc", "architecture review", "audit C4 diagrams", "check system context", "technical debt assessment", "architecture health check", "governance review", "architecture completeness"
Systematically surface, classify, and stress-test assumptions in decisions, strategies, and plans. Transforms hidden assumptions into visible, testable propositions with load-bearing analysis and counterfactual validation. PROACTIVELY activate for: (1) Pre-commitment decision reviews, (2) Strategy validation before execution, (3) Investment due diligence, (4) Architecture decision records, (5) Product direction pivots, (6) Risk assessments requiring assumption audit. Triggers: "validate assumptions", "test assumptions", "assumption check", "stress test this decision", "what are we assuming", "pre-mortem", "what could go wrong", "challenge this plan", "devil's advocate"
Multi-expert comparison and ranking of options with structured deliberation. PROACTIVELY activate for: (1) decision making between alternatives, (2) trade-off analysis, (3) option evaluation, (4) vendor/tool comparison, (5) strategy selection. Triggers: "compare options", "evaluate alternatives", "rank options", "which should I choose", "compare these", "trade-off analysis", "decision between"
Expert evaluation of database schema designs using multi-perspective analysis. PROACTIVELY activate for: (1) Reviewing database schema designs, (2) Comparing alternative schema approaches, (3) Identifying normalization issues, (4) Assessing scalability and performance implications, (5) Evaluating data integrity constraints, (6) Analyzing schema evolution capabilities. Triggers: "evaluate database schema", "review db design", "assess data model", "compare schema approaches", "check normalization", "database design review", "analyze table structure", "review ER diagram", "evaluate data architecture"
Comprehensive database schema analysis using 5-expert panel evaluation. PROACTIVELY activate for: (1) schema review, (2) data modeling decisions, (3) database design evaluation, (4) migration planning, (5) normalization analysis. Triggers: "evaluate schema", "review schema", "database design", "data model review", "schema analysis", "evaluate database"
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npx claudepluginhub agentient/vibekit --plugin evaluation-toolsModel Context Protocol (MCP) server development patterns
Frontend and backend performance optimization patterns
Testing, code review, linting, and coverage analysis patterns
[STUB] C4 diagrams, OpenAPI specs, architectural decisions
Research workflow tools: systematic interviewing, research brief design, and multi-source consolidation
Truth-seeking sparring partner for Claude Code. Challenges claims, decisions, and documents through structured dialectical analysis.
Design experiments, profile datasets, build models, and audit them for bias before shipping
A decision operating system for high-stakes choices. Simulates disagreement across 5 independent personas, stress-tests assumptions, and converges on what actually holds up.
Personal advisory council system for life and business decisions. Simulates a Board of Advisors with four pillar councils (Intelligence, Business, Life, Security), persistent decision tracking in SQLite, outcome learning, and pattern analysis.
Data & analytics skills: Metrics Framework, SQL Query Explainer, Dashboard Brief. Build North Star metric trees, explain and optimise SQL, and spec dashboards from business questions.
Data analytics skills for PMs: SQL query generation and cohort analysis. Analyze user data, generate queries, and identify retention patterns.