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Give AI agents the ability to trace decision chains, reconstruct causal sequences, and reason over complex event timelines spanning months or years.

Builds the organizational memory schema your AI agent needs to answer why — capturing decision provenance, causal chains, and event context that embedding-based retrieval permanently discards.

Architects the right retrieval strategy for every query — teaching your agent when to use RAG, a knowledge graph, or a temporal index instead of defaulting to vector search for everything.

RAG fails quietly. It retrieves documents, returns confident-looking answers, and misses the question entirely — because the question required connecting facts across documents, reasoning about sequence, or tracing causation. This skill gives you a five-question diagnostic checklist that classifies any failing query as either RAG-safe or structurally RAG-incompatible, then maps it to the specific failure pattern and the architectural fix that resolves it.

Legacy Banking Infrastructure Support Skill

by Shandra

$50

Creates structured troubleshooting runbooks for legacy banking systems with incident classification, dependency mapping, log review checklists, escalation paths, rollback guidance, and post-incident summaries.

Enterprise Knowledge Gap Detection Agent

by Shandra

$7.99

Detects missing, conflicting, and outdated enterprise knowledge using support tickets, search logs, and document audits.