Individual skill
agent-design-review
Review an LLM agent design and find where it will be unreliable, expensive, or unsafe. Use when asked to review an agent architecture, critique a multi-step/tool-using agent, debug an agent that loops or goes off-task, or harden an agent before launch. Produces a structured review — task fit, control flow, tools, memory/context, failure handling, cost, and safety — with prioritised findings and fixes.
plugins/pm-ai/skills/agent-design-review/SKILL.md
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- Last checked
- Nov 9, 2026
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- License
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SKILL.mdcore · 4,667 bytes
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# Agent Design Review Skill
Most agents don't fail because the model is weak — they fail because the *design* lets them loop, call the
wrong tool, lose the thread across steps, or burn tokens with no stopping rule. This skill reviews an agent's
architecture against the decisions that actually determine reliability, and ranks the fixes — so "it works in
the demo but not in prod" becomes a specific list of changes. (Writing a new agent spec? Use
[`agent-spec`](../agent-spec/SKILL.md).)
## Working from a brief
Given a sketch ("a research agent that searches, reads, and writes a report"), **deliver the full review
anyway** — infer the likely control flow and tools, label the inference, and flag what to confirm. Never
withhold the review for missing detail.