refactor(workflows): remove duplicate repo-management workflows
- Removed duplicate workflows now centralized in common-plat: - repo_sync-repos, repo_push-repos, repo_backup-and-push - repo_backup-main-branch, repo_commit-workspace, repo_update-agent-docs - Updated README.md to reference central workflows in learning_ai_common_plat All repo-management workflows now maintained in common-plat/.windsurf/workflows/
This commit is contained in:
saravanakumardb1
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.windsurf/workflows/README.md
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.windsurf/workflows/README.md
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# ChronoMind Workflows
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Product-specific workflows for ChronoMind AI-powered contextual clock.
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## Repo-management Workflows
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Cross-repo workflows are maintained centrally in `learning_ai_common_plat/.windsurf/workflows/`:
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- `/repo_sync-repos` — Pull latest from all repos
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- `/repo_commit-workspace` — Commit changes across repos
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- `/repo_backup-main-branch` — Backup main branches
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- `/repo_backup-and-push` — Backup then push all repos
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## Product Workflows
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- `/refresh-chat-history` — Refresh Windsurf chat archive
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---
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description: Backup main branches then push all repos to origin in sequence
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---
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# Backup & Push All Repos
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Combines `/repo_backup-main-branch` and `/repo_push-repos` into a single sequential workflow. Ideal for end-of-session save-all.
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## Step 1: Backup main branches
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Creates timestamped backup branches with smart duplicate detection.
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// turbo
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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 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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echo ""
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echo "✨ All repos pushed!"
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```
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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 7 repos
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## Repositories:
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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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## When to use:
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- End of a work session
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- Before switching machines
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- After a batch of commits across repos
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- Anytime you want a safe checkpoint + sync to remote
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## Notes:
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- Backup runs first so the backup branch includes the latest local commits
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- Push only pushes `main` — backup branches are pushed by the backup script itself
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- If push fails (diverged remote), run `/repo_sync-repos` first to pull
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---
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description: Smart backup of main branches with duplicate detection
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---
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# Backup Main Branch
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Creates smart backups of main branches across all repositories.
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// turbo
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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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1. Checks each repository for changes
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2. Skips backup if main hasn't changed since last backup
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3. Creates timestamped backup branch
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4. Cleans up old backups (keeps 7 days)
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5. Returns to main branch
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## Repositories covered:
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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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## 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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---
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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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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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# 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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## Example Output:
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```
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📋 Scanning workspace for changes...
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📁 learning_ai_common_plat:
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- 2 staged
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- 1 modified
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📁 learning_voice_ai_agent:
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- 3 untracked
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Found changes in 2 repo(s)
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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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- 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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---
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description: Push local main branch to origin for all 5 workspace repos
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---
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# Push Repos
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Pushes local `main` to `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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echo "━━━ $repo ━━━"
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(cd ~/code/mygh/$repo && git push origin main)
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done
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```
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## What it does:
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1. Iterates over all 5 workspace repos
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2. Runs `git push origin main` in each
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3. Fails fast if a repo has diverged from remote (resolve with rebase manually)
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## Repositories:
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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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## When to use:
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- After committing a batch of changes locally
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- After running `/repo_commit-workspace`
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- To sync local work to GitHub before switching machines
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## Notes:
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- Only pushes `main` — does not push other branches
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- Will fail safely if remote has diverged — run `/repo_sync-repos` first then rebase
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- Use `/repo_sync-repos` to pull before pushing if you've been working on another machine
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---
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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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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 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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```
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## What it does:
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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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## Repositories:
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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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## When to use:
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- Starting a new work session
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- After pushing changes from another machine
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- Before running `/repo_backup-main-branch`
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## Notes:
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- Uses `--ff-only` to prevent accidental merge commits
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- If a repo has uncommitted changes, `git pull` will still work (fast-forward only)
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- If a repo has diverged from origin, the pull will fail safely — resolve manually
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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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||||||
Loading…
Reference in New Issue
Block a user