Engineering retrospective — generates a data-driven report of development velocity, commit patterns, hotspots, and team insights from git history. Saves results for week-over-week comparison.
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---
name: retro
description: "Engineering retrospective — generates a data-driven report of development velocity, commit patterns, hotspots, and team insights from git history. Saves results for week-over-week comparison."
---
# Clade for Codex
This workflow runs **directly in Codex**. Do not launch the `claude` CLI or
delegate the workflow to Clade's MCP bridge.
Codex compatibility rules:
- Plugin skills are namespaced. Invoke this workflow explicitly as
`$clade:retro`; a bare `$name` does not select the installed Clade plugin.
- Read the nearest `AGENTS.md` files for repository instructions. If a project
has only `CLAUDE.md`, treat it as legacy project guidance and read it too.
- Store new Clade working state under `.clade/` (or `~/.clade/` for personal
state). Existing legacy Claude state may be read for migration, but do not
create new vendor-specific state.
- A `/skill-name` reference means the corresponding Codex
`$clade:skill-name` plugin skill, or the same workflow invoked naturally when
explicit skill invocation is not available.
- Use Codex web, file, shell, image, and subagent capabilities when the source
workflow names a vendor-specific tool. If a capability is unavailable, use
the documented fallback instead of spawning another agent CLI.
- Paths such as `<plugin-root>/...` are relative to the installed Clade plugin
containing this `SKILL.md`; resolve that root before invoking a helper.
## Canonical Clade workflow
You are the Retro skill. You generate a data-driven engineering retrospective from git history.
## Parse command
- `/retro` → last 7 days (default)
- `/retro 24h` → last 24 hours
- `/retro 14d` → last 14 days
- `/retro 30d` → last 30 days
- `/retro compare` → compare this period vs previous same-length period
---
## Step 1: Gather raw data (run in parallel)
```bash
# Time window setup
SINCE="7 days ago" # adjust based on arg
# Commit overview
git log --since="$SINCE" --oneline
git log --since="$SINCE" --format="%ae" | sort | uniq -c | sort -rn # per-author
# Volume metrics
git log --since="$SINCE" --numstat --format="" | \
awk 'NF==3 {add+=$1; del+=$2} END {print "+" add " -" del " lines"}'
# Commit timing (hour of day distribution)
git log --since="$SINCE" --format="%ad" --date=format:"%H" | sort | uniq -c
# Hotspot files (most changed)
git log --since="$SINCE" --name-only --format="" | sort | uniq -c | sort -rn | head -10
# Commit type breakdown (feat/fix/refactor/test/chore/docs)
git log --since="$SINCE" --oneline | \
grep -oP '^[a-f0-9]+ \K(feat|fix|refactor|test|chore|docs|perf|ci|build)' | \
sort | uniq -c | sort -rn
# Largest PRs / biggest changes
git log --since="$SINCE" --format="%H %s" | while read hash msg; do
lines=$(git show --stat "$hash" | tail -1 | grep -oP '\d+ insertion' | grep -oP '\d+')
echo "${lines:-0} $hash $msg"
done | sort -rn | head -5
```
---
## Step 2: Compute metrics table
| Metric | Value |
|---|---|
| Total commits | N |
| Active days | N / period_days |
| Lines added | +N |
| Lines removed | -N |
| Net LOC change | ±N |
| Unique files changed | N |
| Fix ratio | fix_commits / total_commits % |
| Test commits | test_commits / total_commits % |
**Flags:**
- Fix ratio > 50%: ⚠ High bug rate — more fixes than features
- Test ratio < 10%: ⚠ Low test coverage investment
---
## Step 3: Work session analysis
Detect work sessions using 45-minute gap threshold between commits:
```bash
git log --since="$SINCE" --format="%at" | sort -n | python3 -c "
import sys
times = [int(l) for l in sys.stdin if l.strip()]
if not times: exit()
sessions = []
start = times[0]
prev = times[0]
for t in times[1:]:
if t - prev > 2700: # 45-min gap = new session
sessions.append((start, prev))
start = t
prev = t
sessions.append((start, prev))
for s, e in sessions:
dur = (e - s) // 60
label = 'deep' if dur >= 50 else ('medium' if dur >= 20 else 'micro')
print(f'{dur}min {label}')
"
```
Show:
```
Work sessions: N total
Deep (50+ min): N — sustained focus
Medium (20-50 min): N
Micro (<20 min): N — quick fixes / reviews
```
---
## Step 4: Commit pattern analysis
**Hourly distribution** (ASCII histogram):
```
Commits by hour:
00-06 ██ 3
06-12 ████████ 12
12-18 ████████████ 18
18-24 ██████ 9
Peak: 12:00-15:00
```
**Type breakdown** (bar chart):
```
feat ████████████ 15
fix ████████ 10 ← if >40%, flag
refactor ████ 5
test ██ 3
docs █ 2
chore █████ 6
```
---
## Step 5: Hotspot analysis
Top 10 most-changed files:
```
12 src/api/auth.ts ← churn hotspot if >5 changes
8 src/components/Table.tsx
5 PROGRESS.md
...
```
Flag files changed 5+ times in the period as **churn hotspots** — they may need refactoring or clearer ownership.
---
## Step 6: Ship of the week
Find the biggest single change (by LOC or conceptual scope):
```bash
git log --since="$SINCE" --format="%H %s" | head -20
```
Pick the one commit that represents the most significant user-visible change. Display:
```
🚀 Ship of the week: feat(auth): add OAuth2 Google login (abc1234)
+847 -123 lines across 8 files
```
---
## Step 7: Week-over-week trends (if `compare` flag or ≥ 14d range)
Compare this period vs the equivalent previous period:
```
This period Previous Δ
Commits 23 18 +28% ↑
LOC added +1,240 +890 +39% ↑
Fix ratio 35% 48% -13% ↓ (fewer bugs)
Active days 6 5 +1 ↑
```
---
## Step 8: Save retro history
Save a JSON snapshot for future comparisons:
```bash
mkdir -p .context/retros
# write JSON with metrics to .context/retros/YYYY-MM-DD.json
```
---
## Step 9: Write the narrative
Lead with a 1-sentence tweetable summary, then the full report.
```
══════════════════════════════════════════════════════
RETRO: [project] — [date range]
══════════════════════════════════════════════════════
TL;DR: [one sentence — e.g., "Solid shipping week: 23 commits, OAuth shipped,
fix rate dropped to 35% (down from 48% last week)."]
Metrics: [table from Step 2]
Sessions: [from Step 3]
Patterns: [commit timing + type breakdown]
Hotspots: [top files]
Ship of week: [Step 6]
Trends: [if applicable]
What went well:
- [specific example from git log, not generic praise]
- ...
What to improve:
- [specific pattern, e.g., "3 late-night commits that each needed a follow-up fix — try morning reviews"]
- ...
Next week focus: [1-3 concrete suggestions based on the data]
══════════════════════════════════════════════════════
```
---
## Completion Status
- ✅ **DONE** — retro report generated, history saved to `.context/retros/`
- ⚠ **DONE_WITH_CONCERNS** — limited git history for the period (fewer than 3 commits)
- ❌ **BLOCKED** — not in a git repository
- ❓ **NEEDS_CONTEXT** — specify a time range (e.g., `/retro 14d`)
## Delivery completion
If this workflow changes files or external state:
- Inspect the real final state before responding, including `git status` for a
repository task.
- Never report `DONE` while task-owned changes are uncommitted. Use or continue
`$clade:delivery` and create a repository-compliant checkpoint or preserve
the work when committing is unavailable.
- When the user request or trusted repository policy makes publication,
deployment, or live verification part of the task, do not silently downgrade
the result to local-only work.
- If a required delivery transition lacks authority, credentials, a destination,
or reachable external state, report `BLOCKED` or `NEEDS_CONTEXT` rather than
appending a "not committed/pushed/deployed" caveat after `DONE`.