Trigger a high-priority pain signal to force system reflection and correction.
npx skills add https://github.com/csuzngjh/principles --skill pain
Please help me install this Agent Skill. Skill: pain Source: https://github.com/csuzngjh/principles/tree/main/claude/skills/pain Command: npx skills add https://github.com/csuzngjh/principles --skill pain
This Skill allows manual intervention when the AI agent is stuck, repeating errors, or deviating from the desired path, ensuring it corrects its course.
Manually trigger a pain signal with the message "Agent is stuck in a loop generating incorrect code".
High-intent search queries and answers about installing and using this skill.
To force agent reflection on errors, you can manually trigger a high-priority pain signal. This injects your feedback into a designated file, prompting the agent to break its loop, re-evaluate its current logic, and correct its course during subsequent processing stages.
A pain signal is a manual intervention mechanism used in AI agent debugging to force system reflection. You should use it when the agent is stuck, repeatedly generating the same errors, or deviating from the intended direction and needs corrective feedback.
You can manually intervene when your agent is stuck by injecting a pain signal with specific user-provided feedback. This triggers a high-priority system reflection to break the loop and try a different approach for generating code or solving the task.
Yes, manual error injection works without external dependencies. It directly signals a pain point to the system by injecting user feedback into a designated file, which is then processed during reflection or compaction stages to correct the deviating agent.
The pain signal mechanism relies on user-provided feedback to trigger reflection and does not automatically detect errors. It is a manual intervention, meaning you must actively identify when the agent is deviating or stuck and explicitly provide the reason for the pain signal.
Yes, you can use manual intervention to correct agent logic during compaction stages. The skill injects user-provided feedback as a reason for the pain signal into a designated file, which is explicitly processed during reflection or compaction phases to adjust system behavior.
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