skills/28-maxwell2732-paper-replicate-agent-demo/dot-claude/skills/devils-advocate/SKILL.md
Challenge a slide deck design with 5-7 specific pedagogical questions. Checks ordering, prerequisites, gaps, alternatives, notation conflicts, cognitive load, and book readiness.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research devils-advocateInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Critically examine a slide deck and challenge its design with 5-7 specific pedagogical questions.
Philosophy: "We arrive at the best possible presentation through active dialogue."
.claude/rules/ for notation conventions and narrative arcGenerate 5-7 challenges from these categories:
"Could students understand this better if we showed X before Y?"
"Do students have the background for this notation at this point?"
"Should we include an intuitive example before this formal proof?"
"Here are 2 other ways to visualize/present this concept."
"This symbol conflicts with earlier lecture usage."
"This slide has too many new symbols. Can we split?"
"If this becomes a book chapter, does this section stand alone?"
# Devil's Advocate: [Lecture Title]
## Challenges
### Challenge 1: [Category] — [Short title]
**Question:** [The specific pedagogical question]
**Why it matters:** [What could go wrong]
**Suggested resolution:** [Specific action]
**Slides affected:** [Numbers or titles]
**Severity:** [High / Medium / Low]
[Repeat for 5-7 challenges]
## Summary Verdict
**Strengths:** [2-3 things done well]
**Critical changes:** [0-2 changes before teaching]
**Suggested improvements:** [2-3 nice-to-have changes]
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".