Retrospective

When to invoke

Invoke when the user says "what have we learned", "review recent work", "any patterns lately", "look back", "retrospective", "retro", "what's our velocity", or "what keeps going wrong". May propose the create-card skill invocations for generalization candidates but never files them.

Context

Before running the body of this skill, the agent should see current deck state. Run these via the goc tool (top-level filters like --status / --tag / --worker map to the tool's flags parameter; the subcommand maps to verb). For bare-queue listings with no subcommand, shell out via the exec tool:

• goc --closed-since 90d --json 2>&1 | head -100

Retrospective

Scrum's Sprint Retrospective (Schwaber & Sutherland) applied to the full card history. This skill looks backwards at completed work — something no other skill does. the audit-deck skill hunts NEW defects in the codebase; this skill reads the last N log.md closure entries, clusters by tag, and surfaces patterns: which failure modes recur, which closures mention the same root cause, which clusters are candidates for a generalization card.

Read-only — this skill inspects history and proposes actions. It never files cards, flips status, or mutates the deck. Any generalization card it identifies must be filed via a subsequent the create-card skill.

N = the user's argument (default 10 if not provided).

Step 1 — Gather recent closures

A closure is any card in a terminal status — done, disproved, or superseded. --status done would hide the last two, which are the very cards Step 3 asks about, so scope to all and narrow on the terminal set. (Draft scaffolds ride along under --status all but carry closed_at: null, so the closure filter drops them.)

# Read the last N closed cards (every terminal status) sorted by closed_at
goc --status all --json 2>/dev/null | \
  python3 -c "
import json, sys
TERMINAL = {'done', 'disproved', 'superseded'}
cards = json.load(sys.stdin)
closed = [c for c in cards if c.get('closed_at') and c.get('status') in TERMINAL]
closed.sort(key=lambda c: c.get('closed_at', ''), reverse=True)
n = int('the user's argument'.strip() or '10')
for c in closed[:n]:
    print(json.dumps({'title': c['title'], 'closed_at': c['closed_at'],
                      'status': c.get('status'),
                      'tags': c.get('tags', []), 'contribution': c.get('contribution'),
                      'summary': (c.get('summary') or '')[:80]}))
" 2>/dev/null || true

For each surfaced card, also read its log.md closure entry:

# For each title from above, show its log.md
# (run per-card; replace <title> with actual value)
cat ".game-of-cards/deck/<title>/log.md" 2>/dev/null | tail -20

Step 2 — Cluster by tag

Group the N cards by their tags. For each cluster with ≥2 cards, report:

[<tag>] N cards closed
  - <title> (<closed_at>): <one-line summary>
  ...

Tags with only 1 card get a single [<tag>] 1 card line, no detail.

Step 3 — Surface failure patterns

Read the closure entries in log.md for each card. Look for:

• Cards closed with disproved or superseded (the status field on each Step 1 line) — what was wrong?
• Cards whose log.md mentions rework, revert, or "fixed incidentally".
• Cards that carried a waiting_on overlay (check log.md for the wait being set/cleared) before closing — a long-running wait often signals an under-explored dependency or coordination gap.
• Cards whose DoD had many unchecked items at closure (if the log notes this).

For each pattern that appears in ≥2 cards, report it:

Pattern: <description>
  Seen in: <title-1>, <title-2>, ...
  Root cause hypothesis: <one line>

Step 4 — Generalization candidates

A generalization card is warranted when:

• The same root cause appears in ≥3 closed cards (a recurring defect that was patched each time but never fixed architecturally).
• A cluster of ≥4 cards under the same tag all touched the same module or abstraction (signals a missing abstraction or over-busy module).
• Two or more cards were closed with "fixed incidentally" (signals the fix belonged in a shared utility).

For each identified candidate, output a proposal only:

Generalization candidate: <proposed-title>
  Evidence: <title-1>, <title-2>, <title-3>
  Pattern: <one-line description of the recurrence>
  → propose the `create-card` skill "<proposed-title>" to capture the meta-fix

Do NOT call the create-card skill. The human decides which proposals are worth pursuing.

Step 5 — Velocity feel

Count cards closed in the last 7 days, 14 days, and 30 days:

goc --status all --json 2>/dev/null | \
  python3 -c "
import json, sys
from datetime import date, timedelta
TERMINAL = {'done', 'disproved', 'superseded'}
cards = json.load(sys.stdin)
today = date.today()
counts = {7: 0, 14: 0, 30: 0}
for c in cards:
    if c.get('status') not in TERMINAL:
        continue
    cd = c.get('closed_at', '')[:10]
    if not cd:
        continue
    delta = (today - date.fromisoformat(cd)).days
    for window in counts:
        if delta <= window:
            counts[window] += 1
print(f'7d: {counts[7]}  14d: {counts[14]}  30d: {counts[30]}')
" 2>/dev/null || true

Report as:

Velocity: <N> cards/7d · <N> cards/14d · <N> cards/30d

No benchmark is implied — this is a feel indicator, not a sprint commitment. Trend matters more than absolute number.

Output format

## Recent closures (last N)
[tag clusters]

## Failure patterns
[patterns or "None detected"]

## Generalization candidates
[proposals or "None identified"]

## Velocity
Velocity: N cards/7d · N cards/14d · N cards/30d

Total output ≤ 60 lines. Full log analysis stays in the skill's working context; only the surfaced patterns and proposals go to chat.

Cross-references

• the create-card skill — file a generalization card from a candidate proposal.
• the audit-deck skill — hunt for NEW defects in the codebase (forward-looking).
• the standup skill — daily read of in-flight and impeded work.
• the scan-deck skill — full queue browse including closed cards.