Analyze mistakes across customization layers and implement approved systemic repairs.
npx skills add https://github.com/dornstein/wingman --skill never-again
Please help me install this Agent Skill. Skill: never-again Source: https://github.com/dornstein/wingman/tree/main/skills/never-again Command: npx skills add https://github.com/dornstein/wingman --skill never-again
Root-cause a mistake and implement systemic repairs across the project's customization layers so the same class of mistake doesn't recur.
Describe the mistake, or say "from this session" to analyze the most recent failure in conversation history.
High-intent search queries and answers about installing and using this skill.
Root-cause analysis on AI agent mistakes surveys customization layers like instructions, memory, and docs to identify systemic factors. It proposes targeted repairs and implements version-controlled changes to prevent the same class of error from recurring.
Harden processes after a failure by implementing systemic repairs across customization layers. Use guided, approvable fixes that are minimal and testable, enforcing version-controlled changes to add reusable guardrails for postmortem workflows.
Yes, you can automate postmortem workflows using conversation history. By analyzing recent session failures, the system identifies root causes across project configurations and applies version-controlled, testable fixes to prevent future recurrence.
Prevent an AI agent from repeating mistakes by implementing systemic repairs across its customization layers. This involves adding reusable guardrails, updating agent instructions, and enforcing version-controlled changes after a root-cause analysis.
Yes, root-cause analysis supports version-controlled changes for agent instructions. It enforces testable modifications across customization layers and implements them only upon approval, ensuring safe and traceable process hardening.
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