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THE AGENSI STORE
14 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 Julian
A 5-gate pre-flight audit to ensure your AI agent has the context, scope, and safety boundaries needed to code successfully.
by Roy Yuen
A high-precision pre-coding gate that detects conflicting requirements and prevents agents from making wrong assumptions.
Drastically reduce RAG costs and latency while improving retrieval accuracy through advanced memory architecture.
by S0lidByte
Master orchestrator that routes engineering tasks to 18 specialized AI skills with persistent project context.
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.
by Shandra
Creates phased modernization plans for transforming monolithic applications into modular monoliths, service-oriented systems, or microservice-ready architectures without risky rewrites.
by Shippers
Convert a plain-English user flow plus a route/component map into a runnable Playwright, Cypress, or Detox test file wit
by Shippers
Developers waste time re-explaining their project architecture, conventions, and decisions to AI coding agents in every
by Shippers
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by Timoranjes
Teaches AI coding agents to generate optimized project rule files (.cursorrules, CLAUDE.md, AGENTS.md) that give agents precise context about a project's architecture, conventions, and workflow. Cover
A deep reference library of production agent patterns — orchestration, context, tool design, failure and recovery, oversight, and evaluation. Every pattern states when it applies, when it's the wrong answer, what it costs, and the failure it prevents. Seven reference files, not a checklist.