/postmortem
Explain why a change, incident or session went as it did, separating proven causes from coincidence. Use when: asked for a postmortem, retro or root-cause write-up.
Claude Code
$ npx -y skills add boshu2/agentops --skill postmortem --agent claude-code
Codex
$ npx skills add boshu2/agentops --skill postmortem -a codex -y
Cursor
$ npx skills add boshu2/agentops --skill postmortem -a cursor -y
Gemini CLI
$ npx skills add boshu2/agentops --skill postmortem -a gemini-cli -y
GitHub Copilot
$ npx skills add boshu2/agentops --skill postmortem -a github-copilot -y
OpenCode
$ npx skills add boshu2/agentops --skill postmortem -a opencode -y
Windsurf
$ npx skills add boshu2/agentops --skill postmortem -a windsurf -y
SKILL.md
postmortem.SKILL.mdname: postmortem
description: 'Explain why a change, incident or session went as it did, separating proven causes from coincidence. Use when: asked for a postmortem, retro or root-cause write-up.'
practices:
- sre
- lean-startup
hexagonal_role: domain
consumes: []
produces:
- postmortem-analysis
context_rel: []
skill_api_version: 1
user-invocable: true
metadata:
capabilities: [postmortem]
effects: [write_requested_postmortem_report]
canonical_status: canonical
disposition: keep_strategy
tier: judgment
dependencies: []
output_contract: 'concise inline causal analysis; a requested report file is YYYY-MM-DD-postmortem-<topic>.md, saved where the caller names, in a private directory outside any Git repository'
Postmortem
Answer an explicit retrospective causal question about a completed or stopped goal, session, change or incident from its actual intent, outcome and judgment evidence. Neighbours: how a plan not yet run could fail is [Premortem](../premortem/SKILL.md); whether a finished change meets acceptance is [Validate](../validate/SKILL.md).
First check: correlation or cause?
Treat every causal statement as a hypothesis, including the one the caller arrives with. Promoting a claim from correlation to cause requires all three:
- a stated mechanism: the specific path by which the condition produced the
outcome, in terms a reader could check against the subject;
- discriminating evidence: an observation that the mechanism predicts and at
least one plausible alternative does not;
- a counterfactual test: what should have differed if the claim were false,
with cited evidence showing it did differ.
Post-hoc fix attribution, "we changed X and the failure stopped, therefore X was the cause", satisfies none of these alone: the symptom may be intermittent, or the recovery and the change may share an unobserved cause. Keep such claims as correlations, name the alternatives still standing, and suggest the discriminating experiment; a recommendation built on an unproven cause is framed as that experiment, not as a supported change. Rejecting a claim needs discriminating evidence too, or a prediction of the claim that the evidence contradicts. Anything less stays a correlation or an unknown.
Critical Constraints
- Postmortem is retrospective causal analysis, not the general learning umbrella
or a code-acceptance gate: code judgment never waits on it, and Plan's [code plus a retrospective](../plan/references/resume-and-handoff.md) rule keeps the two separate when both are requested.
- If the outcome is not yet known and no interim analysis was asked for, say
so and ask whether to analyze up to now. An interim analysis pins the cutoff and pending checks; its conclusions cover that interval, not a final outcome.
- It does not re-run acceptance validation, change existing verdicts or
fabricate missing proof. An existing Validate verdict (`verdict.v2`) is optional evidence; its absence does not exclude a stopped or unvalidated subject.
- Because the caller owns subsequent action, do not rewrite proof, operate
tracker state, change the remaining plan, reopen work or promote a rule.
- Empty or inconclusive analysis is valid; recommend no change when warranted.
Manufacture neither certainty nor a lesson.
Workflow
1. Pin the question, accepted intent, subject identity, actual outcome and available judgment with exact ids (commits, checks, messages, an existing verdict); keep missing evidence explicit. For an incident, intent is the expected service behaviour or SLO, judgment is the alerts and checks, and step 2 looks for the deploy, config change, upstream event or missing signal before the departure. 2. Rebuild only the timeline the claims depend on, keeping delivered behavior, failed or stopped work and process output distinct. For a correction or stop, locate the first observable departure from the accepted behavior and the instruction, tool result or missing input immediately before it. Compare a successful case under similar conditions when available; otherwise name that missing comparison. A pause required by the caller is expected behavior. Hidden author reasoning is not fact; missing judgment is not a PASS or a FAIL. 3. Put each causal claim through the first check above. Distinguish necessary validation and compatibility work from avoidable rework; repeated review alone proves no waste. If the inputs include an earlier postmortem of the same subject, account for its recommendations before issuing new ones: applied, partly applied, not applied, or unknown, with evidence from the supplied work since then. Preserve whether a change was authorized, held or never approved; missing evidence of application is not failed adoption. Report recurrence of the targeted failure only when observed. For repeated unapplied advice, name known obstacles or an unresolved question instead of simply repeating it. Nonapplication alone proves neither cause, blame nor that the advice helps. 4. For time or token claims, state source, interval, units, included and excluded actors, and uncertainty. Separate elapsed time, overlapping work and accounting scopes; never equate totals with waste, savings or money without supporting evidence. 5. Return the output below and stop; suggestions do not authorize implementation.
Output Specification
- Default to concise inline Markdown, no mandatory report or worksheet:
Question: <the causal question>
Inputs: <intent, outcome and evidence, with exact ids>; missing: <gaps>
Timeline: <only the events the claims depend on>
Claims:
- <claim>: supported | correlation | rejected | unknown
mechanism / discriminating evidence / counterfactual: <each, cited, or "none">
alternatives still standing: <rivals the evidence cannot rule out>
Accounting (if claimed): <source, interval, units, actors, uncertainty>
Unknowns: <what wouldRead more
name: postmortem description: 'Explain why a change, incident or session went as it did, separating proven causes from coincidence. Use when: asked for a postmortem, retro or root-cause write-up.' practices: - sre - lean-startup hexagonal_role: domain consumes: [] produces: - postmortem-analysis context_rel: [] skill_api_version: 1 user-invocable: true metadata: capabilities: [postmortem] effects: [write_requested_postmortem_report] canonical_status: canonical disposition: keep_strategy tier: judgment dependencies: [] output_contract: 'concise inline causal analysis; a requested report file is YYYY-MM-DD-postmortem-<topic>.md, saved where the caller names, in a private directory outside any Git repository'
Postmortem
Answer an explicit retrospective causal question about a completed or stopped goal, session, change or incident from its actual intent, outcome and judgment evidence. Neighbours: how a plan not yet run could fail is [Premortem](../premortem/SKILL.md); whether a finished change meets acceptance is [Validate](../validate/SKILL.md).
First check: correlation or cause?
Treat every causal statement as a hypothesis, including the one the caller arrives with. Promoting a claim from correlation to cause requires all three:
- a stated mechanism: the specific path by which the condition produced the
outcome, in terms a reader could check against the subject;
- discriminating evidence: an observation that the mechanism predicts and at
least one plausible alternative does not;
- a counterfactual test: what should have differed if the claim were false,
with cited evidence showing it did differ.
Post-hoc fix attribution, "we changed X and the failure stopped, therefore X was the cause", satisfies none of these alone: the symptom may be intermittent, or the recovery and the change may share an unobserved cause. Keep such claims as correlations, name the alternatives still standing, and suggest the discriminating experiment; a recommendation built on an unproven cause is framed as that experiment, not as a supported change. Rejecting a claim needs discriminating evidence too, or a prediction of the claim that the evidence contradicts. Anything less stays a correlation or an unknown.
Critical Constraints
- Postmortem is retrospective causal analysis, not the general learning umbrella
or a code-acceptance gate: code judgment never waits on it, and Plan's [code plus a retrospective](../plan/references/resume-and-handoff.md) rule keeps the two separate when both are requested.
- If the outcome is not yet known and no interim analysis was asked for, say
so and ask whether to analyze up to now. An interim analysis pins the cutoff and pending checks; its conclusions cover that interval, not a final outcome.
- It does not re-run acceptance validation, change existing verdicts or
fabricate missing proof. An existing Validate verdict (`verdict.v2`) is optional evidence; its absence does not exclude a stopped or unvalidated subject.
- Because the caller owns subsequent action, do not rewrite proof, operate
tracker state, change the remaining plan, reopen work or promote a rule.
- Empty or inconclusive analysis is valid; recommend no change when warranted.
Manufacture neither certainty nor a lesson.
Workflow
1. Pin the question, accepted intent, subject identity, actual outcome and available judgment with exact ids (commits, checks, messages, an existing verdict); keep missing evidence explicit. For an incident, intent is the expected service behaviour or SLO, judgment is the alerts and checks, and step 2 looks for the deploy, config change, upstream event or missing signal before the departure. 2. Rebuild only the timeline the claims depend on, keeping delivered behavior, failed or stopped work and process output distinct. For a correction or stop, locate the first observable departure from the accepted behavior and the instruction, tool result or missing input immediately before it. Compare a successful case under similar conditions when available; otherwise name that missing comparison. A pause required by the caller is expected behavior. Hidden author reasoning is not fact; missing judgment is not a PASS or a FAIL. 3. Put each causal claim through the first check above. Distinguish necessary validation and compatibility work from avoidable rework; repeated review alone proves no waste. If the inputs include an earlier postmortem of the same subject, account for its recommendations before issuing new ones: applied, partly applied, not applied, or unknown, with evidence from the supplied work since then. Preserve whether a change was authorized, held or never approved; missing evidence of application is not failed adoption. Report recurrence of the targeted failure only when observed. For repeated unapplied advice, name known obstacles or an unresolved question instead of simply repeating it. Nonapplication alone proves neither cause, blame nor that the advice helps. 4. For time or token claims, state source, interval, units, included and excluded actors, and uncertainty. Separate elapsed time, overlapping work and accounting scopes; never equate totals with waste, savings or money without supporting evidence. 5. Return the output below and stop; suggestions do not authorize implementation.
Output Specification
- Default to concise inline Markdown, no mandatory report or worksheet:
Question: <the causal question>
Inputs: <intent, outcome and evidence, with exact ids>; missing: <gaps>
Timeline: <only the events the claims depend on>
Claims:
- <claim>: supported | correlation | rejected | unknown
mechanism / discriminating evidence / counterfactual: <each, cited, or "none">
alternatives still standing: <rivals the evidence cannot rule out>
Accounting (if claimed): <source, interval, units, actors, uncertainty>
Unknowns: <what wouldDevOps discipline for AI coding agents. DevOps makes software delivery repeatable through shared practices, automated checks and feedback.
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Questions about postmortem.
- Which coding agents can use postmortem?
- postmortem installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.

