agentic-infra

Design use case: "Help me design a customer support agent" → Consult taxonomy.yaml to identify relevant concerns → load the relevant patterns/.md cards → use templates/adr.md

Review use case: "Review this agentic architecture ADR" → Run scripts/lintagenticarch.py → cross-reference findings against checklists/review.md → produce templates/review-report.md

See taxonomy.yaml for the full concern → patterns mapping across 11 concern areas: reliability, safety, memory, tool-use, orchestration, observability, eval, cost, ux-collaboration, feedback, context-management

Knowledge base for designing, reviewing, and linting agentic AI infrastructure. Use when: (1) designing a new agentic system and need to choose patterns, (2) reviewing an existing agentic architecture ADR or design doc for gaps/risks, (3) applying the lint script to an ADR markdown file to get structured findings, (4) looking up a specific agentic pattern (prompt chaining, routing, parallelization, reflection, tool use, planning, multi-agent collaboration, memory management, learning/adaptation, MCP, goal setting, exception handling, HITL, RAG, A2A, resource optimization, reasoning techniques, guardrails, evaluation, prioritization, exploration/discovery, context compaction, plan-then-execute, sub-agent spawning, dual LLM, spectrum of control, agentic search, RLAIF, sandboxed authorization, LLM observability, reflection feedback loop). PDF-grounded patterns (21) cite page numbers; community patterns (10 individual + 139 via summaries) cite awesome-agentic-patterns sources. Source: francescofioredev/agentic-infra-claude-skill.