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
85 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
Evaluates AI coding agent platforms across five structural dimensions that determine real-world performance independently of model quality, so teams select on architectural fit rather than benchmark scores.
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
Design, debug, and optimize production RAG systems with expert architecture, hybrid search, and grounding strategies.
by Roy Yuen
Architect, scaffold, and harden production-grade AI agents with battle-tested patterns and systematic evaluation.
by Julian
A 5-gate pre-flight audit to ensure your AI agent has the context, scope, and safety boundaries needed to code successfully.
by Kevin Cline
Turn plain English app descriptions into fully normalized SQL schemas and entity relationship documentation.
by Roy Yuen
Architect, scaffold, and debug production-ready AI agent CLI applications with structured boundaries and packaging.
by appugouda ai
Turn AWS billing mysteries into 10-minute root cause reports by correlating cost spikes with engineering events.
by Roy Yuen
Design and audit complex multi-agent workflows with rigorous ownership, evidence gates, and failure recovery policies.
by Shandra
Teaches AI coding agents to make software engineering decisions before coding, including layer placement, complexity control, refactor timing, and framework-change assessment.
by tudor
Automatically builds complete, launch-ready SaaS websites, databases, and secure user dashboards, with security audits at each step.
by Julian
Audit applications against 12-Factor methodology to identify architectural risks and generate cloud-native fix plans.
by Roy Yuen
A universal, multi-role AI engineering team for autonomous planning, implementation, and rigorous code review.
by Shandra
Creates safe modernization roadmaps for old, messy, undocumented, or fragile codebases, including risk audits, refactor phases, dependency reviews, testing plans, migration steps, and AI coding prompts.
by Roy Yuen
Design, validate, and orchestrate A2A-compliant multi-agent systems using artifact-driven Mesh Flow DAGs.
by Naor Sabag
Generate animated, step-by-step data flow diagrams for architectures, code paths, and user journeys.
by Roy Yuen
Turn multi-agent intake into client-ready A2A readiness reports, task contracts, and orchestration topologies.
Turn complex system documentation into structured, agent-accessible knowledge bases optimized for MCP and AI tools.
by Roy Yuen
A high-precision pre-coding gate that detects conflicting requirements and prevents agents from making wrong assumptions.
by Shandra
Transforms undocumented repositories into professional README files, setup guides, command maps, architecture notes, environment references, testing docs, and AI agent handoff files.
by Shandra
Designs and upgrades business automation systems into modular, reliable, observable, secure, low-maintenance, enterprise-grade workflows.
Map any repo into an interactive D3 dependency graph plus a Markdown onboarding guide: entry points, module relationships, circular dependencies, and dead-code candidates, with refactor suggestions. Parses TypeScript, Python, Java, Go, and Rust imports, exports, and calls. Self-contained HTML, no source changes.