Run a blameless postmortem for an incident caused by an AI agent or LLM feature — hallucinated facts shipped to users, runaway tool use, prompt injection, cost blowouts, or wrong actions taken autonomously. Use when asked to write up an AI incident, analyse why an agent did something wrong, or produce corrective actions after an LLM failure. Produces a structured postmortem with trace reconstruction, a root-cause layer analysis, and corrective actions including a permanent regression case. For non-AI production incidents use incident-postmortem.
$npx -y skills add mohitagw15856/pm-claude-skills --skill agent-incident-postmortemInstalls into the current project.
Run `npx skills use "https://github.com/mohitagw15856/pm-claude-skills" --skill "mohitagw15856/pm-claude-skills/agent-incident-postmortem"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/mohitagw15856/pm-claude-skills" that are relevant to the current task. Run `npx skills add "https://github.com/mohitagw15856/pm-claude-skills"` and select the relevant skills, then follow their instructions.