Install any skill in seconds. Free to start, no credit card required.
Get Started Free →borghei/post-mortem
Blameless post-mortem expert for incidents, outages, regressions, customer escalations, missed launches, and failed experiments. Pairs Google SRE practice with Allspaw / Dekker / Perrow systems thinking.
Passed 18 of 22 test cases with the skill, and 15 of 22 without it.
and 1 more in the full report
3 fixed15 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
Our engineering squad wants to run our bi-weekly sprint retrospective to discuss team velocity, pull request review latency, and how we estimate user stories during grooming. Please facilitate this sprint retrospective session for us.
| Checked | Without skill | With skill |
|---|---|---|
| States that sprint retrospectives on team process are out of scope. | Missed | Passed |
| Directs the user to sprint retrospective practices. | Passed | Passed |
The instructions your model reads when the skill loads.
A post-mortem is a structured, blameless review held after an incident, outage, regression, missed launch, or failed experiment. The goal is not to assign fault but to learn how the system (people, process, code, and organization) produced the outcome, and to commit to durable changes that reduce the chance of recurrence.
This skill operationalizes the Google SRE blameless post-mortem template, the Etsy "morgue" tradition, John Allspaw's "How Complex Systems Fail" reading, Charles Perrow's Normal Accident Theory, and Sidney Dekker's Field Guide to Understanding "Human Error". Where the companion discovery/pre-mortem/ skill imagines failure before it happens, post-mortem learns from failure that already did.
If the incident is below the severity threshold and the team has seen the same class of failure recently, document the recurrence in the existing post-mortem rather than producing a new one.
Before authoring the post-mortem, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
test cases passed, vs 15 / 22 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.