/postmortem — Campaign Postmortem Generator

Orientation

Use when: A campaign just completed and you want a structured analysis of what broke, what safety systems caught, and what patterns emerged. Also for ad-hoc incident analysis from recent git history.

Don't use when: You want to preserve session context for the next conversation (use /session-handoff), extract reusable patterns from findings into the knowledge base (use /learn), or score and improve quality iteratively (use /improve).

When to Use

• After any Archon campaign completes (Archon should suggest it)
• After a difficult debugging session
• When the user says "what just happened" or "what broke"
• When /do routes "postmortem", "retro", "what broke", "what happened"

Inputs

One of:

1. A campaign file path (.planning/campaigns/*.md)
2. A time range ("last session", "today", "this week")
3. Nothing (reads the most recent completed campaign)

Protocol

Step 1: GATHER

Collect data from all available sources:

From the campaign file (if it exists):

• Direction vs what was actually built (scope drift?)
• Phase completion timeline (which phases needed rework?)
• Decision log entries (what architectural choices were made?)
• Review queue items (what needed human eyes?)
• Circuit breaker activations (what hit the limit?)
• Feature ledger (what shipped?)

From telemetry (.planning/telemetry/):

• hook-timing.jsonl: which hooks fired most, any patterns
• hook-errors.log: what was blocked, what failed, what had parse errors
• Circuit breaker trips
• Quality gate violations

From git history:

• Commits during the campaign period
• Files changed (which areas got the most churn?)
• Any reverts (what was undone?)
• Commit message patterns (fix: commits indicate bugs found)

From the session itself (if no campaign):

• Recent tool calls and their outcomes
• Files edited and errors encountered

Step 2: ANALYZE

Identify patterns across the data:

1. What broke: List every failure, error, or unexpected outcome. For each: what happened, what caught it (hook/gate/human/nothing), what it cost (time, rework, tokens).
2. What the safety systems caught: Circuit breaker activations, quality gate blocks, anti-pattern warnings, typecheck failures. This is the "invisible value" section — problems prevented.
3. What drifted: Compare the campaign direction to what was built. Did scope expand? Did phases get skipped or reordered? Did the architecture change mid-build?
4. What patterns emerged: Recurring error types, files that kept needing fixes, phases that took longest, common anti-patterns.

Step 3: PRODUCE

Write to .planning/postmortems/postmortem-{slug}-{date}.md:

# Postmortem: {Campaign Name or Session Description}

> Date: {ISO date}
> Campaign: {path to campaign file, or "ad-hoc session"}
> Duration: {time from first to last commit}
> Outcome: {completed | partial | parked}

## Summary
{2-3 sentences: what was attempted, what happened, what the result was}

## What Broke
{Numbered list. For each:}
### {N}. {Short description}
- **What happened:** {the failure}
- **Caught by:** {hook name / quality gate / human / nothing}
- **Cost:** {rework time, files affected, phases repeated}
- **Fix:** {what resolved it}
- **Infrastructure created:** {new hook rule, new anti-pattern, new end condition — or "none needed"}

## What Safety Systems Caught
{Things that WOULD have been problems without the hooks/gates}
| System | What It Caught | Times | Impact Prevented |
|--------|---------------|-------|-----------------|
| {hook/gate name} | {description} | {count} | {what would have happened} |

## Scope Analysis
- **Planned:** {what the campaign direction said}
- **Built:** {what the feature ledger shows}
- **Drift:** {none | minor | significant — with specifics}

## Patterns
{Recurring themes worth watching:}
- {pattern 1}
- {pattern 2}

## Recommendations
{Concrete next actions:}
1. {recommendation — e.g., "Add anti-pattern rule for X"}
2. {recommendation — e.g., "Phase Y needs tighter end conditions"}

## Numbers
| Metric | Value |
|--------|-------|
| Phases planned | {N} |
| Phases completed | {N} |
| Commits | {N} |
| Files changed | {N} |
| Circuit breaker trips | {N} |
| Quality gate blocks | {N} |
| Anti-pattern warnings | {N} |
| Rework cycles | {N} |

Step 4: HANDOFF

Output the HANDOFF block from the Exit Protocol, then suggest: Run /learn {campaign-slug} to extract patterns into the knowledge base.

What /postmortem Does NOT Do

• Invent failures that didn't happen (real data only)
• Blame the user or the model (document what happened, not whose fault)
• Recommend changes to skill files (that's for the user to decide)
• Run during a campaign (only after completion or on demand)

Quality Gates

• Every "What Broke" entry has all 5 fields filled
• Numbers section has real data (not estimates)
• Recommendations are concrete actions (not "be more careful")
• If no failures occurred, say so honestly (don't manufacture drama)

Fringe Cases

Campaign not found: If the specified campaign file doesn't exist, check .planning/campaigns/ for the most recently modified campaign. If no campaigns exist, run in ad-hoc mode using recent git history and session context.

No telemetry data: Proceed without telemetry. Mark the "What Safety Systems Caught" table as "No telemetry available" and the Numbers section fields as "N/A". Don't manufacture data.

Partial campaign (parked or in-progress): Generate the postmortem with Outcome: partial. Document what was completed and what was parked. Include a "Remaining Work" section listing incomplete phases.

If .planning/postmortems/ does not exist: Create it before writing. If .planning/ itself doesn't exist, output the postmortem inline and note: "Run /do setup to initialize .planning/ for future storage."

Exit Protocol

---HANDOFF---
- Postmortem: {name}
- Document: .planning/postmortems/postmortem-{slug}-{date}.md
- Failures documented: {count}
- Safety catches: {count}
- Recommendations: {count}
- Reversibility: green — one file written to .planning/postmortems/; git rm to undo
---

After displaying the HANDOFF block, suggest: Run /learn {campaign-slug} to extract patterns into the knowledge base.