AGENT SKILL
drin-prompt-chain-debugger
Investigative workflow for identifying and fixing failures in complex multi-prompt agent chains.
使用场景Skill与智能体开发
- License 许可
- MIT
- 最近更新
- 2026-04-11
- Stars
- ★ 12
- Forks
- 1
01 前言 Front Matter
- name
- drin-prompt-chain-debugger
- status
- production
- description
- Investigative workflow for identifying and fixing failures in complex multi-prompt agent chains.
03 SKILL.md 正文
Prompt Chain Debugger
Purpose
To ensure composite AI systems remain reliable and behave according to set specifications.
Debugging Steps
- Trace: Map the flow from input through every agent/prompt node.
- Inspect Output: Check the raw string output of every node.
- Validate Interface: Did Node A provide what Node B expected?
- Sensitivity Test: Does a small change in input drastically break the chain?
Rules
- Log the temperature and model used for every step of the chain.
- If a chain is fragile, break it down into more discrete, verifiable steps.
subagents:
- prompt-engineer
- debugger
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