Agentic Architecture Review — Development skill for Claude Code
A Claude Code skill that reviews and redesigns agentic architectures.
How to install Agentic Architecture Review
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open allierays/agentic-architecture-review and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Agentic Architecture Review does
A Claude Code skill that reviews and redesigns agentic architectures. Be no more agentic than the problem requires: classify every component before allowing an agent, cap autonomy by verification strength, earn complexity through error analysis.
Alternatives in Development
- Triage PRs — Classify all open PRs by module, review state, scope, and architectural impact — produces a prioritized triage 12.6k ★
- Maestro Next — Unified entry for all development intents — classify intent, assess complexity, route to the correct execution 530 ★
- Gemini For Claude Code — A Python program allowing the use of Claude Code with Google's Gemini models 338 ★
README
Agentic architecture review
A [Claude Code](https://docs.claude.com/en/docs/claude-code) skill that reviews or redesigns agentic system architectures and implementation plans.
Its bias: **be no more agentic than the problem requires.** Most proposals that arrive labelled "multi-agent" are a fixed pipeline with personas attached. This skill makes you prove otherwise before it agrees, and it checks the parts of an agentic system that architecture documents usually skip: durable state, permissions, tracing, the golden dataset, and evaluations.
What it actually does
Every proposed component gets classified as one of six things:
- Deterministic code or service
- Structured model call
- Code-defined workflow containing model calls
- Tool exposed through a typed contract
- Evaluator or critic node
- Agent with a bounded model-directed tool loop
An agent is only justified when the path cannot be usefully specified in advance and the model must choose a changing sequence of tools to reach an outcome. A sub-agent is only justified by a measured quality gain or a real isolation boundary (identity, permissions, tools, context, model policy, deployment). Personas, pipeline stages, file formats, and deterministic routing do not qualify.
Two principles do most of the work:
- Verification strength caps autonomy. A loop checked by a compiler or a read-after-write confirmation can be given more rope than one checked by the model's own confidence. Self-critique can propose a revision; it should not authorize a consequential action.
- Complexity is earned through error analysis. Establish a baseline, run trials, read the traces, group the actual failure classes, then add the smallest change targeting a demonstrated failure. Not a planner because planners sound thorough.
It also periodically asks the unpopular question: has a model or tool improvement made some of this scaffolding deletable?
Three modes
| Mode | Use for |
|---|---|
| Architecture review | Asse |
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