feat: /retro global — cross-project AI coding retrospective (v0.10.2.0) (#316)

* feat: gstack-global-discover — cross-tool AI session discovery

Standalone script that scans Claude Code, Codex CLI, and Gemini CLI
session directories, resolves each session's working directory to a git
repo, deduplicates by normalized remote URL, and outputs structured JSON.

- Reads only first 4-8KB of session files (avoids OOM on large transcripts)
- Only counts JSONL files modified within the time window (accurate counts)
- Week windows midnight-aligned like day windows for consistency
- 16 tests covering URL normalization, CLI behavior, and output structure

* feat: /retro global — cross-project retro using discovery engine

Adds Global Retrospective Mode to the /retro skill. When invoked as
`/retro global`, skips the repo-scoped retro and instead uses
gstack-global-discover to find all AI coding sessions across all tools,
then runs git log on each discovered repo for a unified cross-project
retrospective with global shipping streak and context-switching metrics.

* chore: bump version and changelog (v0.9.9.0)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* docs: sync documentation with shipped changes

Update README /retro description to mention global mode.
Add bin/ directory to CLAUDE.md project structure.

* feat: /retro global adds per-project personal contributions breakdown

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* chore: regenerate SKILL.md files after main merge

* chore: bump version and changelog (v0.10.2.0)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: test coverage catalog — shared audit across plan/ship/review (v0.10.1.0) (#259)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat: /retro global shareable personal card — screenshot-ready stats

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* chore: regenerate Codex/agents SKILL.md for retro shareable card

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix: widen retro global card — never truncate repo names

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix: retro global card — left border only, drop unreliable right border

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Garry Tan
2026-03-22 13:52:47 -07:00
committed by GitHub
parent cf3582c637
commit cc9e6f8f35
12 changed files with 1690 additions and 17 deletions
+296 -2
View File
@@ -280,6 +280,8 @@ When the user types `/retro`, run this skill.
- `/retro 30d` — last 30 days
- `/retro compare` — compare current window vs prior same-length window
- `/retro compare 14d` — compare with explicit window
- `/retro global` — cross-project retro across all AI coding tools (7d default)
- `/retro global 14d` — cross-project retro with explicit window
## Instructions
@@ -287,17 +289,21 @@ Parse the argument to determine the time window. Default to 7 days if no argumen
**Midnight-aligned windows:** For day (`d`) and week (`w`) units, compute an absolute start date at local midnight, not a relative string. For example, if today is 2026-03-18 and the window is 7 days: the start date is 2026-03-11. Use `--since="2026-03-11T00:00:00"` for git log queries — the explicit `T00:00:00` suffix ensures git starts from midnight. Without it, git uses the current wall-clock time (e.g., `--since="2026-03-11"` at 11pm means 11pm, not midnight). For week units, multiply by 7 to get days (e.g., `2w` = 14 days back). For hour (`h`) units, use `--since="N hours ago"` since midnight alignment does not apply to sub-day windows.
**Argument validation:** If the argument doesn't match a number followed by `d`, `h`, or `w`, the word `compare`, or `compare` followed by a number and `d`/`h`/`w`, show this usage and stop:
**Argument validation:** If the argument doesn't match a number followed by `d`, `h`, or `w`, the word `compare` (optionally followed by a window), or the word `global` (optionally followed by a window), show this usage and stop:
```
Usage: /retro [window]
Usage: /retro [window | compare | global]
/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 prior period
/retro compare 14d — compare with explicit window
/retro global — cross-project retro across all AI tools (7d default)
/retro global 14d — cross-project retro with explicit window
```
**If the first argument is `global`:** Skip the normal repo-scoped retro (Steps 1-14). Instead, follow the **Global Retrospective** flow at the end of this document. The optional second argument is the time window (default 7d). This mode does NOT require being inside a git repo.
### Step 1: Gather Raw Data
First, fetch origin and identify the current user:
@@ -743,6 +749,293 @@ Small, practical, realistic. Each must be something that takes <5 minutes to ado
---
## Global Retrospective Mode
When the user runs `/retro global` (or `/retro global 14d`), follow this flow instead of the repo-scoped Steps 1-14. This mode works from any directory — it does NOT require being inside a git repo.
### Global Step 1: Compute time window
Same midnight-aligned logic as the regular retro. Default 7d. The second argument after `global` is the window (e.g., `14d`, `30d`, `24h`).
### Global Step 2: Run discovery
Locate and run the discovery script using this fallback chain:
```bash
DISCOVER_BIN=""
[ -x ~/.claude/skills/gstack/bin/gstack-global-discover ] && DISCOVER_BIN=~/.claude/skills/gstack/bin/gstack-global-discover
[ -z "$DISCOVER_BIN" ] && [ -x .claude/skills/gstack/bin/gstack-global-discover ] && DISCOVER_BIN=.claude/skills/gstack/bin/gstack-global-discover
[ -z "$DISCOVER_BIN" ] && which gstack-global-discover >/dev/null 2>&1 && DISCOVER_BIN=$(which gstack-global-discover)
[ -z "$DISCOVER_BIN" ] && [ -f bin/gstack-global-discover.ts ] && DISCOVER_BIN="bun run bin/gstack-global-discover.ts"
echo "DISCOVER_BIN: $DISCOVER_BIN"
```
If no binary is found, tell the user: "Discovery script not found. Run `bun run build` in the gstack directory to compile it." and stop.
Run the discovery:
```bash
$DISCOVER_BIN --since "<window>" --format json 2>/tmp/gstack-discover-stderr
```
Read the stderr output from `/tmp/gstack-discover-stderr` for diagnostic info. Parse the JSON output from stdout.
If `total_sessions` is 0, say: "No AI coding sessions found in the last <window>. Try a longer window: `/retro global 30d`" and stop.
### Global Step 3: Run git log on each discovered repo
For each repo in the discovery JSON's `repos` array, find the first valid path in `paths[]` (directory exists with `.git/`). If no valid path exists, skip the repo and note it.
**For local-only repos** (where `remote` starts with `local:`): skip `git fetch` and use the local default branch. Use `git log HEAD` instead of `git log origin/$DEFAULT`.
**For repos with remotes:**
```bash
git -C <path> fetch origin --quiet 2>/dev/null
```
Detect the default branch for each repo: first try `git symbolic-ref refs/remotes/origin/HEAD`, then check common branch names (`main`, `master`), then fall back to `git rev-parse --abbrev-ref HEAD`. Use the detected branch as `<default>` in the commands below.
```bash
# Commits with stats
git -C <path> log origin/$DEFAULT --since="<start_date>T00:00:00" --format="%H|%aN|%ai|%s" --shortstat
# Commit timestamps for session detection, streak, and context switching
git -C <path> log origin/$DEFAULT --since="<start_date>T00:00:00" --format="%at|%aN|%ai|%s" | sort -n
# Per-author commit counts
git -C <path> shortlog origin/$DEFAULT --since="<start_date>T00:00:00" -sn --no-merges
# PR numbers from commit messages
git -C <path> log origin/$DEFAULT --since="<start_date>T00:00:00" --format="%s" | grep -oE '#[0-9]+' | sort -n | uniq
```
For repos that fail (deleted paths, network errors): skip and note "N repos could not be reached."
### Global Step 4: Compute global shipping streak
For each repo, get commit dates (capped at 365 days):
```bash
git -C <path> log origin/$DEFAULT --since="365 days ago" --format="%ad" --date=format:"%Y-%m-%d" | sort -u
```
Union all dates across all repos. Count backward from today — how many consecutive days have at least one commit to ANY repo? If the streak hits 365 days, display as "365+ days".
### Global Step 5: Compute context switching metric
From the commit timestamps gathered in Step 3, group by date. For each date, count how many distinct repos had commits that day. Report:
- Average repos/day
- Maximum repos/day
- Which days were focused (1 repo) vs. fragmented (3+ repos)
### Global Step 6: Per-tool productivity patterns
From the discovery JSON, analyze tool usage patterns:
- Which AI tool is used for which repos (exclusive vs. shared)
- Session count per tool
- Behavioral patterns (e.g., "Codex used exclusively for myapp, Claude Code for everything else")
### Global Step 7: Aggregate and generate narrative
Structure the output with the **shareable personal card first**, then the full
team/project breakdown below. The personal card is designed to be screenshot-friendly
— everything someone would want to share on X/Twitter in one clean block.
---
**Tweetable summary** (first line, before everything else):
```
Week of Mar 14: 5 projects, 138 commits, 250k LOC across 5 repos | 48 AI sessions | Streak: 52d 🔥
```
## 🚀 Your Week: [user name] — [date range]
This section is the **shareable personal card**. It contains ONLY the current user's
stats — no team data, no project breakdowns. Designed to screenshot and post.
Use the user identity from `git config user.name` to filter all per-repo git data.
Aggregate across all repos to compute personal totals.
Render as a single visually clean block. Left border only — no right border (LLMs
can't align right borders reliably). Pad repo names to the longest name so columns
align cleanly. Never truncate project names.
```
╔═══════════════════════════════════════════════════════════════
║ [USER NAME] — Week of [date]
╠═══════════════════════════════════════════════════════════════
║ [N] commits across [M] projects
║ +[X]k LOC added · [Y]k LOC deleted · [Z]k net
║ [N] AI coding sessions (CC: X, Codex: Y, Gemini: Z)
║ [N]-day shipping streak 🔥
║ PROJECTS
║ ─────────────────────────────────────────────────────────
║ [repo_name_full] [N] commits +[X]k LOC [solo/team]
║ [repo_name_full] [N] commits +[X]k LOC [solo/team]
║ [repo_name_full] [N] commits +[X]k LOC [solo/team]
║ SHIP OF THE WEEK
║ [PR title] — [LOC] lines across [N] files
║ TOP WORK
║ • [1-line description of biggest theme]
║ • [1-line description of second theme]
║ • [1-line description of third theme]
║ Powered by gstack · github.com/garrytan/gstack
╚═══════════════════════════════════════════════════════════════
```
**Rules for the personal card:**
- Only show repos where the user has commits. Skip repos with 0 commits.
- Sort repos by user's commit count descending.
- **Never truncate repo names.** Use the full repo name (e.g., `analyze_transcripts`
not `analyze_trans`). Pad the name column to the longest repo name so all columns
align. If names are long, widen the box — the box width adapts to content.
- For LOC, use "k" formatting for thousands (e.g., "+64.0k" not "+64010").
- Role: "solo" if user is the only contributor, "team" if others contributed.
- Ship of the Week: the user's single highest-LOC PR across ALL repos.
- Top Work: 3 bullet points summarizing the user's major themes, inferred from
commit messages. Not individual commits — synthesize into themes.
E.g., "Built /retro global — cross-project retrospective with AI session discovery"
not "feat: gstack-global-discover" + "feat: /retro global template".
- The card must be self-contained. Someone seeing ONLY this block should understand
the user's week without any surrounding context.
- Do NOT include team members, project totals, or context switching data here.
**Personal streak:** Use the user's own commits across all repos (filtered by
`--author`) to compute a personal streak, separate from the team streak.
---
## Global Engineering Retro: [date range]
Everything below is the full analysis — team data, project breakdowns, patterns.
This is the "deep dive" that follows the shareable card.
### All Projects Overview
| Metric | Value |
|--------|-------|
| Projects active | N |
| Total commits (all repos, all contributors) | N |
| Total LOC | +N / -N |
| AI coding sessions | N (CC: X, Codex: Y, Gemini: Z) |
| Active days | N |
| Global shipping streak (any contributor, any repo) | N consecutive days |
| Context switches/day | N avg (max: M) |
### Per-Project Breakdown
For each repo (sorted by commits descending):
- Repo name (with % of total commits)
- Commits, LOC, PRs merged, top contributor
- Key work (inferred from commit messages)
- AI sessions by tool
**Your Contributions** (sub-section within each project):
For each project, add a "Your contributions" block showing the current user's
personal stats within that repo. Use the user identity from `git config user.name`
to filter. Include:
- Your commits / total commits (with %)
- Your LOC (+insertions / -deletions)
- Your key work (inferred from YOUR commit messages only)
- Your commit type mix (feat/fix/refactor/chore/docs breakdown)
- Your biggest ship in this repo (highest-LOC commit or PR)
If the user is the only contributor, say "Solo project — all commits are yours."
If the user has 0 commits in a repo (team project they didn't touch this period),
say "No commits this period — [N] AI sessions only." and skip the breakdown.
Format:
```
**Your contributions:** 47/244 commits (19%), +4.2k/-0.3k LOC
Key work: Writer Chat, email blocking, security hardening
Biggest ship: PR #605 — Writer Chat eats the admin bar (2,457 ins, 46 files)
Mix: feat(3) fix(2) chore(1)
```
### Cross-Project Patterns
- Time allocation across projects (% breakdown, use YOUR commits not total)
- Peak productivity hours aggregated across all repos
- Focused vs. fragmented days
- Context switching trends
### Tool Usage Analysis
Per-tool breakdown with behavioral patterns:
- Claude Code: N sessions across M repos — patterns observed
- Codex: N sessions across M repos — patterns observed
- Gemini: N sessions across M repos — patterns observed
### Ship of the Week (Global)
Highest-impact PR across ALL projects. Identify by LOC and commit messages.
### 3 Cross-Project Insights
What the global view reveals that no single-repo retro could show.
### 3 Habits for Next Week
Considering the full cross-project picture.
---
### Global Step 8: Load history & compare
```bash
ls -t ~/.gstack/retros/global-*.json 2>/dev/null | head -5
```
**Only compare against a prior retro with the same `window` value** (e.g., 7d vs 7d). If the most recent prior retro has a different window, skip comparison and note: "Prior global retro used a different window — skipping comparison."
If a matching prior retro exists, load it with the Read tool. Show a **Trends vs Last Global Retro** table with deltas for key metrics: total commits, LOC, sessions, streak, context switches/day.
If no prior global retros exist, append: "First global retro recorded — run again next week to see trends."
### Global Step 9: Save snapshot
```bash
mkdir -p ~/.gstack/retros
```
Determine the next sequence number for today:
```bash
today=$(date +%Y-%m-%d)
existing=$(ls ~/.gstack/retros/global-${today}-*.json 2>/dev/null | wc -l | tr -d ' ')
next=$((existing + 1))
```
Use the Write tool to save JSON to `~/.gstack/retros/global-${today}-${next}.json`:
```json
{
"type": "global",
"date": "2026-03-21",
"window": "7d",
"projects": [
{
"name": "gstack",
"remote": "https://github.com/garrytan/gstack",
"commits": 47,
"insertions": 3200,
"deletions": 800,
"sessions": { "claude_code": 15, "codex": 3, "gemini": 0 }
}
],
"totals": {
"commits": 182,
"insertions": 15300,
"deletions": 4200,
"projects": 5,
"active_days": 6,
"sessions": { "claude_code": 48, "codex": 8, "gemini": 3 },
"global_streak_days": 52,
"avg_context_switches_per_day": 2.1
},
"tweetable": "Week of Mar 14: 5 projects, 182 commits, 15.3k LOC | CC: 48, Codex: 8, Gemini: 3 | Focus: gstack (58%) | Streak: 52d"
}
```
---
## Compare Mode
When the user runs `/retro compare` (or `/retro compare 14d`):
@@ -776,3 +1069,4 @@ When the user runs `/retro compare` (or `/retro compare 14d`):
- Treat merge commits as PR boundaries
- Do not read CLAUDE.md or other docs — this skill is self-contained
- On first run (no prior retros), skip comparison sections gracefully
- **Global mode:** Does NOT require being inside a git repo. Saves snapshots to `~/.gstack/retros/` (not `.context/retros/`). Gracefully skip AI tools that aren't installed. Only compare against prior global retros with the same window value. If streak hits 365d cap, display as "365+ days".
+296 -2
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@@ -41,6 +41,8 @@ When the user types `/retro`, run this skill.
- `/retro 30d` — last 30 days
- `/retro compare` — compare current window vs prior same-length window
- `/retro compare 14d` — compare with explicit window
- `/retro global` — cross-project retro across all AI coding tools (7d default)
- `/retro global 14d` — cross-project retro with explicit window
## Instructions
@@ -48,17 +50,21 @@ Parse the argument to determine the time window. Default to 7 days if no argumen
**Midnight-aligned windows:** For day (`d`) and week (`w`) units, compute an absolute start date at local midnight, not a relative string. For example, if today is 2026-03-18 and the window is 7 days: the start date is 2026-03-11. Use `--since="2026-03-11T00:00:00"` for git log queries — the explicit `T00:00:00` suffix ensures git starts from midnight. Without it, git uses the current wall-clock time (e.g., `--since="2026-03-11"` at 11pm means 11pm, not midnight). For week units, multiply by 7 to get days (e.g., `2w` = 14 days back). For hour (`h`) units, use `--since="N hours ago"` since midnight alignment does not apply to sub-day windows.
**Argument validation:** If the argument doesn't match a number followed by `d`, `h`, or `w`, the word `compare`, or `compare` followed by a number and `d`/`h`/`w`, show this usage and stop:
**Argument validation:** If the argument doesn't match a number followed by `d`, `h`, or `w`, the word `compare` (optionally followed by a window), or the word `global` (optionally followed by a window), show this usage and stop:
```
Usage: /retro [window]
Usage: /retro [window | compare | global]
/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 prior period
/retro compare 14d — compare with explicit window
/retro global — cross-project retro across all AI tools (7d default)
/retro global 14d — cross-project retro with explicit window
```
**If the first argument is `global`:** Skip the normal repo-scoped retro (Steps 1-14). Instead, follow the **Global Retrospective** flow at the end of this document. The optional second argument is the time window (default 7d). This mode does NOT require being inside a git repo.
### Step 1: Gather Raw Data
First, fetch origin and identify the current user:
@@ -504,6 +510,293 @@ Small, practical, realistic. Each must be something that takes <5 minutes to ado
---
## Global Retrospective Mode
When the user runs `/retro global` (or `/retro global 14d`), follow this flow instead of the repo-scoped Steps 1-14. This mode works from any directory — it does NOT require being inside a git repo.
### Global Step 1: Compute time window
Same midnight-aligned logic as the regular retro. Default 7d. The second argument after `global` is the window (e.g., `14d`, `30d`, `24h`).
### Global Step 2: Run discovery
Locate and run the discovery script using this fallback chain:
```bash
DISCOVER_BIN=""
[ -x ~/.claude/skills/gstack/bin/gstack-global-discover ] && DISCOVER_BIN=~/.claude/skills/gstack/bin/gstack-global-discover
[ -z "$DISCOVER_BIN" ] && [ -x .claude/skills/gstack/bin/gstack-global-discover ] && DISCOVER_BIN=.claude/skills/gstack/bin/gstack-global-discover
[ -z "$DISCOVER_BIN" ] && which gstack-global-discover >/dev/null 2>&1 && DISCOVER_BIN=$(which gstack-global-discover)
[ -z "$DISCOVER_BIN" ] && [ -f bin/gstack-global-discover.ts ] && DISCOVER_BIN="bun run bin/gstack-global-discover.ts"
echo "DISCOVER_BIN: $DISCOVER_BIN"
```
If no binary is found, tell the user: "Discovery script not found. Run `bun run build` in the gstack directory to compile it." and stop.
Run the discovery:
```bash
$DISCOVER_BIN --since "<window>" --format json 2>/tmp/gstack-discover-stderr
```
Read the stderr output from `/tmp/gstack-discover-stderr` for diagnostic info. Parse the JSON output from stdout.
If `total_sessions` is 0, say: "No AI coding sessions found in the last <window>. Try a longer window: `/retro global 30d`" and stop.
### Global Step 3: Run git log on each discovered repo
For each repo in the discovery JSON's `repos` array, find the first valid path in `paths[]` (directory exists with `.git/`). If no valid path exists, skip the repo and note it.
**For local-only repos** (where `remote` starts with `local:`): skip `git fetch` and use the local default branch. Use `git log HEAD` instead of `git log origin/$DEFAULT`.
**For repos with remotes:**
```bash
git -C <path> fetch origin --quiet 2>/dev/null
```
Detect the default branch for each repo: first try `git symbolic-ref refs/remotes/origin/HEAD`, then check common branch names (`main`, `master`), then fall back to `git rev-parse --abbrev-ref HEAD`. Use the detected branch as `<default>` in the commands below.
```bash
# Commits with stats
git -C <path> log origin/$DEFAULT --since="<start_date>T00:00:00" --format="%H|%aN|%ai|%s" --shortstat
# Commit timestamps for session detection, streak, and context switching
git -C <path> log origin/$DEFAULT --since="<start_date>T00:00:00" --format="%at|%aN|%ai|%s" | sort -n
# Per-author commit counts
git -C <path> shortlog origin/$DEFAULT --since="<start_date>T00:00:00" -sn --no-merges
# PR numbers from commit messages
git -C <path> log origin/$DEFAULT --since="<start_date>T00:00:00" --format="%s" | grep -oE '#[0-9]+' | sort -n | uniq
```
For repos that fail (deleted paths, network errors): skip and note "N repos could not be reached."
### Global Step 4: Compute global shipping streak
For each repo, get commit dates (capped at 365 days):
```bash
git -C <path> log origin/$DEFAULT --since="365 days ago" --format="%ad" --date=format:"%Y-%m-%d" | sort -u
```
Union all dates across all repos. Count backward from today — how many consecutive days have at least one commit to ANY repo? If the streak hits 365 days, display as "365+ days".
### Global Step 5: Compute context switching metric
From the commit timestamps gathered in Step 3, group by date. For each date, count how many distinct repos had commits that day. Report:
- Average repos/day
- Maximum repos/day
- Which days were focused (1 repo) vs. fragmented (3+ repos)
### Global Step 6: Per-tool productivity patterns
From the discovery JSON, analyze tool usage patterns:
- Which AI tool is used for which repos (exclusive vs. shared)
- Session count per tool
- Behavioral patterns (e.g., "Codex used exclusively for myapp, Claude Code for everything else")
### Global Step 7: Aggregate and generate narrative
Structure the output with the **shareable personal card first**, then the full
team/project breakdown below. The personal card is designed to be screenshot-friendly
— everything someone would want to share on X/Twitter in one clean block.
---
**Tweetable summary** (first line, before everything else):
```
Week of Mar 14: 5 projects, 138 commits, 250k LOC across 5 repos | 48 AI sessions | Streak: 52d 🔥
```
## 🚀 Your Week: [user name] — [date range]
This section is the **shareable personal card**. It contains ONLY the current user's
stats — no team data, no project breakdowns. Designed to screenshot and post.
Use the user identity from `git config user.name` to filter all per-repo git data.
Aggregate across all repos to compute personal totals.
Render as a single visually clean block. Left border only — no right border (LLMs
can't align right borders reliably). Pad repo names to the longest name so columns
align cleanly. Never truncate project names.
```
╔═══════════════════════════════════════════════════════════════
║ [USER NAME] — Week of [date]
╠═══════════════════════════════════════════════════════════════
║ [N] commits across [M] projects
║ +[X]k LOC added · [Y]k LOC deleted · [Z]k net
║ [N] AI coding sessions (CC: X, Codex: Y, Gemini: Z)
║ [N]-day shipping streak 🔥
║ PROJECTS
║ ─────────────────────────────────────────────────────────
║ [repo_name_full] [N] commits +[X]k LOC [solo/team]
║ [repo_name_full] [N] commits +[X]k LOC [solo/team]
║ [repo_name_full] [N] commits +[X]k LOC [solo/team]
║ SHIP OF THE WEEK
║ [PR title] — [LOC] lines across [N] files
║ TOP WORK
║ • [1-line description of biggest theme]
║ • [1-line description of second theme]
║ • [1-line description of third theme]
║ Powered by gstack · github.com/garrytan/gstack
╚═══════════════════════════════════════════════════════════════
```
**Rules for the personal card:**
- Only show repos where the user has commits. Skip repos with 0 commits.
- Sort repos by user's commit count descending.
- **Never truncate repo names.** Use the full repo name (e.g., `analyze_transcripts`
not `analyze_trans`). Pad the name column to the longest repo name so all columns
align. If names are long, widen the box — the box width adapts to content.
- For LOC, use "k" formatting for thousands (e.g., "+64.0k" not "+64010").
- Role: "solo" if user is the only contributor, "team" if others contributed.
- Ship of the Week: the user's single highest-LOC PR across ALL repos.
- Top Work: 3 bullet points summarizing the user's major themes, inferred from
commit messages. Not individual commits — synthesize into themes.
E.g., "Built /retro global — cross-project retrospective with AI session discovery"
not "feat: gstack-global-discover" + "feat: /retro global template".
- The card must be self-contained. Someone seeing ONLY this block should understand
the user's week without any surrounding context.
- Do NOT include team members, project totals, or context switching data here.
**Personal streak:** Use the user's own commits across all repos (filtered by
`--author`) to compute a personal streak, separate from the team streak.
---
## Global Engineering Retro: [date range]
Everything below is the full analysis — team data, project breakdowns, patterns.
This is the "deep dive" that follows the shareable card.
### All Projects Overview
| Metric | Value |
|--------|-------|
| Projects active | N |
| Total commits (all repos, all contributors) | N |
| Total LOC | +N / -N |
| AI coding sessions | N (CC: X, Codex: Y, Gemini: Z) |
| Active days | N |
| Global shipping streak (any contributor, any repo) | N consecutive days |
| Context switches/day | N avg (max: M) |
### Per-Project Breakdown
For each repo (sorted by commits descending):
- Repo name (with % of total commits)
- Commits, LOC, PRs merged, top contributor
- Key work (inferred from commit messages)
- AI sessions by tool
**Your Contributions** (sub-section within each project):
For each project, add a "Your contributions" block showing the current user's
personal stats within that repo. Use the user identity from `git config user.name`
to filter. Include:
- Your commits / total commits (with %)
- Your LOC (+insertions / -deletions)
- Your key work (inferred from YOUR commit messages only)
- Your commit type mix (feat/fix/refactor/chore/docs breakdown)
- Your biggest ship in this repo (highest-LOC commit or PR)
If the user is the only contributor, say "Solo project — all commits are yours."
If the user has 0 commits in a repo (team project they didn't touch this period),
say "No commits this period — [N] AI sessions only." and skip the breakdown.
Format:
```
**Your contributions:** 47/244 commits (19%), +4.2k/-0.3k LOC
Key work: Writer Chat, email blocking, security hardening
Biggest ship: PR #605 — Writer Chat eats the admin bar (2,457 ins, 46 files)
Mix: feat(3) fix(2) chore(1)
```
### Cross-Project Patterns
- Time allocation across projects (% breakdown, use YOUR commits not total)
- Peak productivity hours aggregated across all repos
- Focused vs. fragmented days
- Context switching trends
### Tool Usage Analysis
Per-tool breakdown with behavioral patterns:
- Claude Code: N sessions across M repos — patterns observed
- Codex: N sessions across M repos — patterns observed
- Gemini: N sessions across M repos — patterns observed
### Ship of the Week (Global)
Highest-impact PR across ALL projects. Identify by LOC and commit messages.
### 3 Cross-Project Insights
What the global view reveals that no single-repo retro could show.
### 3 Habits for Next Week
Considering the full cross-project picture.
---
### Global Step 8: Load history & compare
```bash
ls -t ~/.gstack/retros/global-*.json 2>/dev/null | head -5
```
**Only compare against a prior retro with the same `window` value** (e.g., 7d vs 7d). If the most recent prior retro has a different window, skip comparison and note: "Prior global retro used a different window — skipping comparison."
If a matching prior retro exists, load it with the Read tool. Show a **Trends vs Last Global Retro** table with deltas for key metrics: total commits, LOC, sessions, streak, context switches/day.
If no prior global retros exist, append: "First global retro recorded — run again next week to see trends."
### Global Step 9: Save snapshot
```bash
mkdir -p ~/.gstack/retros
```
Determine the next sequence number for today:
```bash
today=$(date +%Y-%m-%d)
existing=$(ls ~/.gstack/retros/global-${today}-*.json 2>/dev/null | wc -l | tr -d ' ')
next=$((existing + 1))
```
Use the Write tool to save JSON to `~/.gstack/retros/global-${today}-${next}.json`:
```json
{
"type": "global",
"date": "2026-03-21",
"window": "7d",
"projects": [
{
"name": "gstack",
"remote": "https://github.com/garrytan/gstack",
"commits": 47,
"insertions": 3200,
"deletions": 800,
"sessions": { "claude_code": 15, "codex": 3, "gemini": 0 }
}
],
"totals": {
"commits": 182,
"insertions": 15300,
"deletions": 4200,
"projects": 5,
"active_days": 6,
"sessions": { "claude_code": 48, "codex": 8, "gemini": 3 },
"global_streak_days": 52,
"avg_context_switches_per_day": 2.1
},
"tweetable": "Week of Mar 14: 5 projects, 182 commits, 15.3k LOC | CC: 48, Codex: 8, Gemini: 3 | Focus: gstack (58%) | Streak: 52d"
}
```
---
## Compare Mode
When the user runs `/retro compare` (or `/retro compare 14d`):
@@ -537,3 +830,4 @@ When the user runs `/retro compare` (or `/retro compare 14d`):
- Treat merge commits as PR boundaries
- Do not read CLAUDE.md or other docs — this skill is self-contained
- On first run (no prior retros), skip comparison sections gracefully
- **Global mode:** Does NOT require being inside a git repo. Saves snapshots to `~/.gstack/retros/` (not `.context/retros/`). Gracefully skip AI tools that aren't installed. Only compare against prior global retros with the same window value. If streak hits 365d cap, display as "365+ days".