Merge 4317702a46 into f6656c1256
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Jintae Song
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---
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name: tab-clean
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description: AI-powered Chrome tab cleanup — classifies tabs as KEEP/SAVE/CLOSE, extracts interest signals from searches, and discusses context before closing.
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license: MIT
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---
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# /tab-clean - Chrome Tab Cleanup
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Read all Chrome tabs, classify them, discuss context with the user, then close/save as confirmed.
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## Procedure
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### Step 1: Collect tabs
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**Pre-check: Is Chrome running?**
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```
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osascript -e 'application "Google Chrome" is running'
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```
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If `false` → tell the user: "Chrome is not running. Please open Chrome first." and **stop**.
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**Collect all tabs:**
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```
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osascript -e '
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tell application "Google Chrome"
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set output to ""
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set winCount to count of windows
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repeat with w from 1 to winCount
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set tabCount to count of tabs of window w
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repeat with t from 1 to tabCount
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set tabTitle to title of tab t of window w
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set tabURL to URL of tab t of window w
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set output to output & "W" & w & "|T" & t & "|" & tabTitle & "|" & tabURL & linefeed
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end repeat
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end repeat
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return output
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end tell'
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```
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Parse into `{window, index, title, url}` list.
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If total tab count is 0 → tell the user: "No tabs found. Nothing to clean." and **stop**.
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**Pinned tabs:** After collecting, ask the user: "How many of your leftmost tabs are pinned?" Mark those as auto-KEEP. If the user says "none", skip this.
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### Step 2: Auto-classify
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Classify each tab into 3 categories:
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| Category | Action |
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|----------|--------|
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| **KEEP** | Do not close |
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| **SAVE** | Save to `./tabs-{YYYY-MM-DD}.md` with context, then close |
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| **CLOSE** | Close immediately |
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#### Default KEEP domains (auto-KEEP, skip questions)
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- `mail.google.com`
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- `calendar.google.com`
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- `discord.com`
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- `slack.com`
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- `linear.app`
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- `notion.so`
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- `linkedin.com/feed`, `linkedin.com/in/`
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- `docs.google.com`
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> **Customize:** Add your own KEEP domains below (e.g., `github.com/{username}`, `{company}.atlassian.net`)
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#### CLOSE candidates (AI judgment)
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- Already-consumed individual SNS posts (single tweet on x.com, single Instagram post)
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- Completed transaction/order pages
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- Chrome extension internal pages (`chrome-extension://`)
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- Duplicate tabs
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- `chrome://newtab/`
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#### SAVE candidates (AI judgment)
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- Unread technical articles, blog posts
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- Research/comparison pages worth revisiting
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- Tab groups with apparent intent (multiple tabs from the same domain suggesting a research thread)
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#### Interest Signal extraction (Google searches)
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Google search tabs (`google.com/search`) are CLOSE'd, but **extract the search query as an Interest Signal** first. Only extract searches related to: software engineering, AI/tech, business, startups, career, product. Skip mundane searches (weather, directions, etc.).
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### Step 3: Context conversation
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#### Large tab sets (30+ non-KEEP tabs)
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If there are more than 30 non-KEEP tabs:
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- Group by domain only (not topic) for efficiency
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- Show summary first: "{N} non-KEEP tabs across {M} domains"
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- Ask: "Want to review all groups, or only groups with 3+ tabs?"
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- Single-tab groups without clear intent → auto-suggest CLOSE
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#### Grouping
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Group non-KEEP tabs by similar URL/domain/topic. **Ask per group, NOT per tab.**
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For each group, ask the user:
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```
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## Group: {domain/topic} ({N} tabs)
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- {tab1 title}
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- {tab2 title}
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...
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Why did you have these open?
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1. Still an active research/task → KEEP
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2. Had an idea/intent → please describe the context (will be recorded in SAVE)
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3. Already done → CLOSE
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```
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If the user provides context (option 2), capture it verbatim for the SAVE record.
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### Step 4: Final confirmation
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Show the classification reflecting the conversation:
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```
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## KEEP ({N}) — staying open
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- {tab name}
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...
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## SAVE ({N}) → saving then closing
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- [{title}]({URL}) — {one-line context description}
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...
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## CLOSE ({N}) — closing
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- {tab name}
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...
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## Interest Signals (from searches)
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- **{search query}** — {one-line interpretation of why this matters}
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...
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Any changes? If not, say "confirm".
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```
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Proceed to Step 5 only after user confirms.
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### Step 5: Execute
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1. **Create/append `./tabs-{YYYY-MM-DD}.md`**:
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- **Top section**: `## Interest Signals (from Google searches)` — accumulated search signals with one-line context
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- **Below**: `## Saved Tabs` — grouped SAVE tabs with `- [{title}]({URL}) — {context}`
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- If file already exists for today, append new entries (don't overwrite)
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- Save path can be customized (e.g., `inbox/tabs-{date}.md` for Obsidian users)
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2. **Close tabs** (both CLOSE and SAVE targets):
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- Re-collect all tab URLs right before closing (tabs may have shifted during conversation)
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- Match tabs to close by URL substring
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- **Iterate ALL windows, and within each window close tabs in reverse index order** (handles multi-window)
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- Pass all URL patterns in a single `osascript` call:
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```
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tell application "Google Chrome"
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set closedCount to 0
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set winCount to count of windows
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repeat with w from 1 to winCount
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set tabCount to count of tabs of window w
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repeat with t from tabCount to 1 by -1
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set tabURL to URL of tab t of window w
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-- check against each URL pattern
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if tabURL contains "{pattern1}" or tabURL contains "{pattern2}" ... then
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close tab t of window w
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set closedCount to closedCount + 1
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end if
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end repeat
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end repeat
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return "Closed " & closedCount & " tabs"
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end tell
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```
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- Build the `if` condition dynamically from the list of CLOSE+SAVE URLs
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- This approach is window-agnostic: works regardless of how many windows are open or which window contains the tabs
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### Step 6: Summary
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```
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Tab cleanup complete:
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- KEEP: {N} tabs kept
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- SAVE: {N} tabs → saved to tabs-{date}.md, then closed
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- CLOSE: {N} tabs closed
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- Interest Signals: {N} search queries captured
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```
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