AI/LLM system architecture: software arch, pipelines, conops, design patterns, audit, implementation. Topics: ai-conops, ai-design-patterns, ai-pipeline-architecture, ai-software-architecture, audit, chatbot-design, embedding-strategy, fine-tuning-prep, implementation, prompt-engineering, rag-patterns, structured-output, voice-interface.
Router skill: resolve topic from the request, then Read EXACTLY ONE playbook
from routes:. The playbook does the work; this file only routes. [DOC]
User asks to design, audit, or implement an AI/LLM system component — software architecture, pipelines, ConOps, design patterns, RAG, prompts, embeddings, fine-tuning prep, structured output, chatbot/voice interface. If the request is not LLM/AI-system shaped, do not route here. [INFERENCIA]
topic (one enum value, required), depth (quick|deep, default quick).topic: infer from the request; ask ONLY if two enum values fit
equally. Map intent, not keywords (e.g. "make my prompt reliable" →
prompt-engineering; "ground answers in our docs" → rag-patterns). [INFERENCIA]topic; if none fits, say so and stop — do not force-fit. [SUPUESTO]routes: playbook. Read NOTHING else from the cluster. [DOC]quick → essentials only; deep → apply the playbook exhaustively, verifying
at each step. Honor the playbook's own gates over these defaults. [INFERENCIA]Spine: Discover → Analyze → Execute → Validate.
Quality gates: constitution v6.0.0 (enforcement), evidence tags, script-first rule. [CONFIG]
Deterministic routing aids: assets/ (routing-rubric.json, routing-checklist.md). [CONFIG]
topic resolved and present in the enum. [DOC][DOC] [CONFIG] [CÓDIGO] [INFERENCIA] [SUPUESTO]). [CONFIG]topic when the request already makes it obvious. [SUPUESTO][CÓDIGO]/[CONFIG] you cannot point to in-repo — downgrade to [SUPUESTO]. [CONFIG]If the playbook doesn't fit the ask, stop, re-resolve topic, Read the correct
one — never patch with a second. If no enum fits, report the gap. [SUPUESTO]
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