agentic-infra

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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). All rules and guidance are grounded in the PDF "Agentic Design Patterns" (482 pages).

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Sourcefrancescofioredev/agentic-infra-claude-skill

Added on2026-02-21

NPX Install

npx skill4agent add francescofioredev/agentic-infra-claude-skill agentic-infra

SKILL.md Content

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Agentic Infra Skill

Quick Start

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/lint_agentic_arch.py <adr.md>

→ cross-reference findings against

checklists/review.md

→ produce

templates/review-report.md

Taxonomy

See

taxonomy.yaml

for the full concern → patterns mapping across 8 concern areas:

reliability

,

safety

,

memory

,

tool-use

,

orchestration

,

observability

,

eval

,

cost

Pattern Library

All 21 patterns have full pattern cards in

patterns/

. Each card specifies:

Intent, context, forces/tradeoffs
Solution with code evidence
Failure modes and instrumentation
Related patterns and PDF page citations

#	Pattern	File
1	Prompt Chaining	patterns/01-prompt-chaining.md
2	Routing	patterns/02-routing.md
3	Parallelization	patterns/03-parallelization.md
4	Reflection	patterns/04-reflection.md
5	Tool Use / Function Calling	patterns/05-tool-use.md
6	Planning	patterns/06-planning.md
7	Multi-Agent Collaboration	patterns/07-multi-agent-collaboration.md
8	Memory Management	patterns/08-memory-management.md
9	Learning & Adaptation	patterns/09-learning-adaptation.md
10	Model Context Protocol (MCP)	patterns/10-mcp.md
11	Goal Setting & Monitoring	patterns/11-goal-setting-monitoring.md
12	Exception Handling & Recovery	patterns/12-exception-handling-recovery.md
13	Human-in-the-Loop (HITL)	patterns/13-hitl.md
14	RAG	patterns/14-rag.md
15	A2A Inter-Agent Communication	patterns/15-a2a-communication.md
16	Resource-Aware Optimization	patterns/16-resource-aware-optimization.md
17	Reasoning Techniques	patterns/17-reasoning-techniques.md
18	Guardrails / Safety	patterns/18-guardrails-safety.md
19	Evaluation & Monitoring	patterns/19-evaluation-monitoring.md
20	Prioritization	patterns/20-prioritization.md
21	Exploration & Discovery	patterns/21-exploration-discovery.md

Review Workflow

Run lint script:

python3 scripts/lint_agentic_arch.py <path/to/adr.md>

Inspect JSON findings (each finding includes:
```
severity
```
,
```
rule
```
,
```
pattern_ref
```
,
```
evidence_page
```
)
Walk
```
checklists/review.md
```
for any gaps not caught by lint
Fill in
```
templates/review-report.md
```
with findings

Design Workflow

Identify system concerns from
```
taxonomy.yaml
```
Load the pattern cards for those concerns
Choose patterns considering forces/tradeoffs in each card
Record decisions in
```
templates/adr.md
```
Self-check against
```
checklists/review.md
```
before finalizing

Examples

Design scenario:
```
examples/design-example.md
```
Review scenario:
```
examples/review-example.md
```

Evidence Policy

Every rule in this skill cites a PDF page. Format:

(p. N)

. Never state a rule without citation.