synthesizing institutional knowledge
by loreto
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.
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THE AGENSI STORE
16 skills found
by loreto
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.
by loreto
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.
by loreto
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.
by Roy Yuen
Turn your AI agent into a digital librarian that builds and audits a persistent markdown knowledge base.
by tudor
Build a full-stack AI chatbot trained on your own documents across any industry — legal, healthcare, e-commerce, HR, finance, real estate, insurance, education, cybersecurity, government, and more.
by LocoLoboZ
Automate the ingestion, indexing, and maintenance of a dual-vault Obsidian knowledge base with strict traceability.
Turn complex system documentation into structured, agent-accessible knowledge bases optimized for MCP and AI tools.
by Rapa Canola
Local, SQLite-backed cross-session memory for agents to store and retrieve lessons, decisions, and facts via FTS5.
by Julian
Audit your career and projects using Naval Ravikant’s framework for permissionless wealth and code-based leverage.
by Shandra
Creates structured troubleshooting runbooks for legacy banking systems with incident classification, dependency mapping, log review checklists, escalation paths, rollback guidance, and post-incident summaries.
Find where knowledge is dangerously concentrated in a codebase. From your git history it flags the files only one person has ever touched, the high-churn files with a single owner, authors who own too much of the codebase, and the repo's overall truck factor. The catchy question with a real answer: what breaks if a key person leaves.
A retrieval architect that diagnoses why RAG returns confident-but-wrong answers, picks the right context architecture (RAG vs knowledge graph vs structured/temporal retrieval) instead of defaulting to vector search, and designs the institutional-memory schema embeddings throw away.
Standardize your knowledge base by automatically routing, tagging, and summarizing links, PDFs, and notes.
by PromptWagon
Reviews document sets, source quality, chunking logic, metadata, retrieval coverage, citation traceability, answer grounding, source gaps, stale content, duplicate content, and failure patterns for RAG knowledge-base chatbots. Helps AI, product, support, governance, and engineering teams diagnose common and costly RAG quality problems before deployment or after incidents.
Reconcile RFP addenda with the baseline requirement ledger, acknowledgements, deadlines, and response matrix before owner submission review.
by PromptWagon
Builds structured SaaS help centers, support knowledge bases, article categories, onboarding documentation, troubleshooting flows, FAQ libraries, product education pages, search-friendly article outlines, escalation routes, and support content maps for SaaS founders, customer success teams, product teams, and support teams.