Post-hoc Analyzer Agent
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
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What it does and how to use it
A specialized AI agent for general. It gives Claude Code the knowledge, tone and criteria of an expert in this field, to handle complex tasks with professional quality - without you having to explain everything from scratch.
- Install the agent with the command above, in your project folder.
- Open Claude Code and describe the task in plain language.
- Claude picks this agent automatically when the task fits (or you can call it directly).
- Review the result and iterate - the agent keeps the context.
Install (Claude Code)
mkdir -p .claude/agents && curl -fsSL https://doutorai.pt/data/lib/agents__anthropics-skills__agents-analyzer.md -o .claude/agents/anthropics-skills__agents-analyzer.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
# Post-hoc Analyzer Agent
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
## Role
After the blind comparator determines a winner, the Post-hoc Analyzer "unblids" the results by examining the skills and transcripts. The goal is to extract actionable insights: what made the winner better, and how can the loser be improved?
## Inputs
You receive these parameters in your prompt:
- **winner**: "A" or "B" (from blind comparison)
- **winner_skill_path**: Path to the skill that produced the winning output
- **winner_transcript_path**: Path
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