ci: update CI/CD configuration
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.windsurf/workflows/refresh-chat-history.md
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67
.windsurf/workflows/refresh-chat-history.md
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---
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description: Refresh the Windsurf chat history archive (re-scan all repos, update symlinks, copy docs/workflows)
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---
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# Refresh Windsurf Chat History Archive
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Refreshes the centralized Windsurf chat history archive at `__LOCAL_LLMs/AI_IDE_CHAT_HISTORY/WINDSURF/`.
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Auto-discovers new repos, updates symlinks, and re-copies docs + workflows.
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## Covered Repos (All 8 workspaces)
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| Repo | Product | Workflows | Docs |
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|------|---------|-----------|------|
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| `learning_voice_ai_agent` | LysnrAI | ✅ | ✅ |
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| `learning_multimodal_memory_agents` | MindLyst | ✅ | ✅ |
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| `learning_ai_clock` | ChronoMind | ✅ | — |
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| `learning_ai_peakpulse` | PeakPulse | ✅ | — |
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| `learning_ai_fastgap` | NomGap | ✅ | — |
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| `learning_ai_jarvis_jr` | JarvisJr | ✅ | — |
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| `learning_ai_common_plat` | Common Platform | ✅ | — |
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| `learning_agent_monitoring_fx` | Agent Monitoring | ✅ | — |
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## Steps
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// turbo
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1. Run the refresh script:
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```bash
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/Users/sd9235/code/mygh/learning_ai_common_plat/__LOCAL_LLMs/AI_IDE_CHAT_HISTORY/WINDSURF/refresh.sh
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```
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2. Check the refresh log:
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```bash
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cat /Users/sd9235/code/mygh/learning_ai_common_plat/__LOCAL_LLMs/AI_IDE_CHAT_HISTORY/WINDSURF/.last-refresh.log
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```
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3. Verify symlinks are valid:
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```bash
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ls -la /Users/sd9235/code/mygh/learning_ai_common_plat/__LOCAL_LLMs/AI_IDE_CHAT_HISTORY/WINDSURF/ | grep "^l"
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```
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## Notes
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- The script is **idempotent** — safe to run any number of times.
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- It auto-discovers repos under `/Users/sd9235/code/mygh/` that have `docs/WINDSURF/` or `.windsurf/workflows/`.
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- A **launchd job** runs this daily at 11 PM: `~/Library/LaunchAgents/com.sd9235.windsurf-archive-refresh.plist`.
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- Logs: `.last-refresh.log` (stats), `.launchd-stdout.log` / `.launchd-stderr.log` (scheduled run output).
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- **See also:** [Workflow Sync Guide](/Users/sd9235/code/mygh/learning_ai_common_plat/docs/guides/WORKFLOW_SYNC.md) — how to keep workflows consistent across repos.
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## Manage the scheduled job
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```bash
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# Check if running
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launchctl list | grep windsurf-archive
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# Stop
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launchctl unload ~/Library/LaunchAgents/com.sd9235.windsurf-archive-refresh.plist
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# Start
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launchctl load ~/Library/LaunchAgents/com.sd9235.windsurf-archive-refresh.plist
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# Force run now
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launchctl start com.sd9235.windsurf-archive-refresh
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```
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@ -11,14 +11,14 @@ Combines `/repo_backup-main-branch` and `/repo_push-repos` into a single sequent
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Creates timestamped backup branches with smart duplicate detection.
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// turbo
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Run `bash ~/code/mygh/learning_ai_common_plat/scripts/backup-main.sh` from any directory
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Run `bash scripts/backup-main.sh` from any repository root
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## Step 2: Push all repos to origin
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// turbo
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```bash
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for repo in learning_ai_common_plat learning_voice_ai_agent learning_multimodal_memory_agents learning_ai_clock learning_ai_fastgap; do
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for repo in learning_ai_common_plat learning_voice_ai_agent learning_multimodal_memory_agents learning_ai_clock learning_ai_fastgap learning_ai_jarvis_jr learning_ai_peakpulse; do
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echo "━━━ Pushing $repo ━━━"
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(cd ~/code/mygh/$repo && git push origin main 2>&1)
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done
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@ -29,7 +29,7 @@ echo "✨ All repos pushed!"
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## What it does:
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1. **Backup** — creates timestamped backup branches, cleans up old ones (7 days), skips duplicates
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2. **Push** — pushes `main` to `origin/main` for all 5 repos
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2. **Push** — pushes `main` to `origin/main` for all 7 repos
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## Repositories:
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@ -38,6 +38,8 @@ echo "✨ All repos pushed!"
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- learning_multimodal_memory_agents
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- learning_ai_clock
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- learning_ai_fastgap
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- learning_ai_jarvis_jr
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- learning_ai_peakpulse
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## When to use:
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@ -7,7 +7,7 @@ description: Smart backup of main branches with duplicate detection
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Creates smart backups of main branches across all repositories.
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// turbo
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Run `bash ~/code/mygh/learning_ai_common_plat/scripts/backup-main.sh` from any directory
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Run `bash scripts/backup-main.sh` from any repository root
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## What it does:
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@ -24,11 +24,13 @@ Run `bash ~/code/mygh/learning_ai_common_plat/scripts/backup-main.sh` from any d
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- learning_multimodal_memory_agents
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- learning_ai_clock
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- learning_ai_fastgap
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- learning_ai_jarvis_jr
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- learning_ai_peakpulse
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## Features:
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- Smart duplicate detection
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- Automatic cleanup of old backups
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- Multi-repo support
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- Safe operations (always returns to main)
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- Color-coded output for clarity
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- ✅ Smart duplicate detection
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- ✅ Automatic cleanup of old backups
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- ✅ Multi-repo support
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- ✅ Safe operations (always returns to main)
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- ✅ Color-coded output for clarity
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@ -1,50 +1,117 @@
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---
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description: Commit all workspace changes in logical order with intelligent messages
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date: 2025-02-12
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---
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# Commit Workspace
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Commits all pending changes across all 5 workspace repos in logical order.
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## Step 1: Check status of all repos
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Scans all repositories for pending changes and commits them in logical order with intelligent commit messages.
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// turbo
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~/commit-workspace.sh
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## What it does:
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1. **Scans** all 7 repos for changes:
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- learning_ai_common_plat
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- learning_voice_ai_agent
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- learning_multimodal_memory_agents
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- learning_ai_clock
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- learning_ai_fastgap
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- learning_ai_jarvis_jr
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- learning_ai_peakpulse
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2. **Analyzes** changed files to determine:
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- Commit scope (auth, ci, docs, feat, chore, etc.)
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- Appropriate commit message
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- Logical grouping
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3. **Commits** in dependency order:
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- Always commits common platform first
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- Then other repos
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4. Does **NOT** push — use `/repo_sync-repos` or `git push` separately
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## Commit Message Logic:
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The script analyzes file types to generate appropriate messages:
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| File Pattern | Commit Message Example |
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| ------------------------- | ---------------------------------------------------- |
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| auth/middleware/jwt files | `feat(auth): update authentication and middleware` |
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| .github/workflows/ | `ci: update CI/CD configuration` |
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| Dockerfile + package.json | `feat: update Dockerfile for pnpm workspace support` |
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| package.json, lock files | `chore: update dependencies` |
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| \*.md files | `docs: update documentation` |
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| \*.py, requirements.txt | `feat(python): update Python modules` |
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| test/, _spec_ | `test: add/update tests` |
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| .env, config files | `chore: update configuration` |
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| Other files | `chore: update project files` |
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## Usage:
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```bash
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for repo in learning_ai_common_plat learning_voice_ai_agent learning_multimodal_memory_agents learning_ai_clock learning_ai_fastgap; do
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echo "━━━ $repo ━━━"
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(cd ~/code/mygh/$repo && git status --short)
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echo ""
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done
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# Run from anywhere
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~/commit-workspace.sh
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# Or via Windsurf
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/commit-workspace
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```
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## Step 2: Stage and commit each repo
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## Example Output:
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For each repo with changes:
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1. Review the diff
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2. Stage all changes with `git add -A`
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3. Write a conventional commit message: `type(scope): description`
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4. Commit
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```
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📋 Scanning workspace for changes...
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## Commit message conventions:
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📁 learning_ai_common_plat:
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- 2 staged
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- 1 modified
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- `feat(scope):` — new feature
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- `fix(scope):` — bug fix
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- `refactor(scope):` — code restructuring
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- `docs(scope):` — documentation only
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- `test(scope):` — adding/updating tests
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- `chore(scope):` — maintenance tasks
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📁 learning_voice_ai_agent:
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- 3 untracked
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## Order:
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Found changes in 2 repo(s)
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1. **learning_ai_common_plat** — shared packages first (others may depend on it)
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2. **learning_voice_ai_agent** — LysnrAI product repo
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3. **learning_multimodal_memory_agents** — MindLyst product repo
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4. **learning_ai_clock** — ChronoMind product repo
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5. **learning_ai_fastgap** — NomGap product repo
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🚀 Committing in dependency order...
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📝 Committing learning_ai_common_plat...
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Message: feat(auth): update authentication and middleware
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✅ Committed
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📝 Committing learning_voice_ai_agent...
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Message: docs: update documentation
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✅ Committed
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✨ All changes committed locally!
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💡 Use /repo_sync-repos or git push to push to remote
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```
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## Features:
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- ✅ No prompts - fully automated
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- ✅ Intelligent commit messages
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- ✅ Logical dependency order
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- ✅ Stages all changes automatically
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- ✅ Local commits only (no push)
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- ✅ Clean, colored output
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## Safety:
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- Always shows what will be committed
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- Uses conventional commit format
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- Commits in correct order to avoid issues
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- Preserves all changes
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## When to Use:
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- After making changes across multiple repos
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- Before switching contexts/tasks
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- At the end of a development session
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- When preparing for releases
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## Notes:
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- Always commit common_plat first since other repos may reference its packages
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- Use `--no-verify` only if pre-commit hooks are blocking on non-code issues
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- After committing, run `/repo_push-repos` to push all to origin
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- Script location: `~/commit-workspace.sh`
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- Requires git access to all repos
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- Works with any branch (but assumes main is primary)
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- Will skip repos with no changes
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@ -1,5 +1,5 @@
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---
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description: Pull latest from origin main across all 5 workspace repos
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description: Pull latest from origin main across all 7 workspace repos
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---
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# Sync Repos
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@ -9,7 +9,7 @@ Pulls the latest changes from `origin/main` for all workspace repositories.
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// turbo
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```bash
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for repo in learning_ai_common_plat learning_voice_ai_agent learning_multimodal_memory_agents learning_ai_clock learning_ai_fastgap; do
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for repo in learning_ai_common_plat learning_voice_ai_agent learning_multimodal_memory_agents learning_ai_clock learning_ai_fastgap learning_ai_jarvis_jr learning_ai_peakpulse; do
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echo "━━━ $repo ━━━"
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(cd ~/code/mygh/$repo && git pull --ff-only origin main)
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done
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@ -17,7 +17,7 @@ done
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## What it does:
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1. Iterates over all 5 workspace repos
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1. Iterates over all 7 workspace repos
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2. Runs `git pull --ff-only origin main` in each
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3. Fails fast if there are local divergent commits (use `git pull --rebase` manually in that case)
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@ -28,6 +28,8 @@ done
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- learning_multimodal_memory_agents
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- learning_ai_clock
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- learning_ai_fastgap
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- learning_ai_jarvis_jr
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- learning_ai_peakpulse
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## When to use:
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51
.windsurf/workflows/repo_update-agent-docs.md
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51
.windsurf/workflows/repo_update-agent-docs.md
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---
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description: Regenerate AI agent docs (AGENTS.md, CLAUDE.md, .cursorrules, etc.) across all repos
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---
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# Update Agent Docs Across Workspace
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Regenerates all 8 AI agent configuration files across all repos in the workspace.
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## Files Generated Per Repo
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| File | Tool |
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|------|------|
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| `AGENTS.md` | Universal (OpenAI Codex, Claude, Copilot, etc.) |
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| `CLAUDE.md` | Claude Code |
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| `.cursorrules` | Cursor AI |
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| `.github/copilot-instructions.md` | GitHub Copilot |
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| `.windsurfrules` | Windsurf / Cascade |
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| `.clinerules` | Cline / Roo Code |
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| `.aider.conf.yml` | Aider |
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| `.editorconfig` | All editors |
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## Steps
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1. Run the update script:
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```bash
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cd /Users/sd9235/code/mygh/learning_ai_common_plat
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./scripts/update-agent-docs.sh
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```
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2. Review changes per repo:
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```bash
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cd /Users/sd9235/code/mygh/learning_voice_ai_agent && git diff --stat
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cd /Users/sd9235/code/mygh/learning_multimodal_memory_agents && git diff --stat
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# ... etc for all repos
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```
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3. Commit changes (if any):
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```bash
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cd /Users/sd9235/code/mygh/learning_voice_ai_agent
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[ -n "$(git status --porcelain)" ] && git add -A && git commit -m "chore(docs): update agent configuration files"
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```
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## Notes
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- The script scans each repo's structure and regenerates docs based on current state
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- Only commits if there are actual changes
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- Safe to run repeatedly (idempotent)
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- Requires `learning_ai_common_plat` to be the source of truth for templates
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