Generates five-section blameless postmortems for AI-agent conversations.
npx skills add https://github.com/lmorchard/decafclaw --skill postmortem-lmorchard
Please help me install this Agent Skill. Skill: postmortem Source: https://github.com/lmorchard/decafclaw/tree/main/src/decafclaw/skills/postmortem Command: npx skills add https://github.com/lmorchard/decafclaw --skill postmortem-lmorchard
This skill helps teams perform blameless, systems-level postmortems of conversations to identify root causes and generate minimal, actionable fixes, preserving momentum while learning from failures.
Invoke the postmortem analysis on the current conversation (optionally supply a focus via ARGUMENTS) to generate a structured report.
High-intent search queries and answers about installing and using this skill.
A blameless postmortem is a systems-level analysis that identifies root causes of conversation missteps without focusing on individual fault. It produces an evidence-based, five-section report that proposes minimal, actionable fixes to prevent recurrence.
To conduct root-cause analysis on an AI-agent interaction, invoke the postmortem skill on the current conversation. It generates a structured report pinpointing root causes and suggesting concrete, testable changes to artifacts like prompts and tooling.
Yes, you can focus your postmortem report by supplying specific arguments when invoking the analysis. This optional focus allows you to target particular anomalies or missteps within the broader conversation for a more tailored root-cause analysis.
Yes, the postmortem analysis automatically saves the root-cause report. It integrates with vault_write to persist the final five-section report in the vault, while also presenting the completed analysis inline for immediate review.
You should use a blameless postmortem for product reviews when you need reflective analysis to prevent failure recurrence. It is ideal for learning cycles where identifying systems-level root causes and generating actionable patches preserves momentum.
The best way to generate actionable fixes from a conversation analysis is using a structured postmortem format. It enforces a five-section report that suggests concrete, testable changes to files, prompts, and tooling to resolve the identified root causes.
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