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commands/pp-update.md
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# Update Project Documentation
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Update project files after making changes.
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## Arguments
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$ARGUMENTS
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## Purpose
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Run after making code changes to keep project documentation in sync. Updates:
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- TODO.md (mark tasks done/in-progress)
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- CHANGELOG.md (log changes)
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- STATUS.md (if state changed)
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- CODEBASE.md (if files added/modified)
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- LESSONS.md (if debugging insights gained)
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## Execution Instructions
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### Step 1: Identify Active Subproject
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Read `.context/project/INDEX.md` to get active subproject.
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### Step 2: Parse Query
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Query should describe what was done:
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- "completed T010, T011" → Mark tasks done
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- "added webhook/llm_service.py" → Update CODEBASE
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- "fixed the routing bug" → Update CHANGELOG, possibly LESSONS
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- "changed booking flow approach" → Update CHANGELOG with context
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If no query, ask: "What changes did you make? (tasks completed, files added, bugs fixed)"
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### Step 3: Determine What to Update
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Based on query, identify which files need updates:
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| Query Pattern | Files to Update |
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|---------------|-----------------|
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| "completed T###" | TODO.md, CHANGELOG.md |
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| "added/created file" | CODEBASE.md, CHANGELOG.md |
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| "fixed bug" | CHANGELOG.md, possibly LESSONS.md |
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| "changed approach" | CHANGELOG.md, possibly STATUS.md |
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| "working on T###" | TODO.md (mark in-progress) |
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### Step 4: Collect Additional Info
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Ask for any missing info:
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- For CHANGELOG: "Brief description of what changed?"
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- For CHANGELOG: "Any usage examples to include?"
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- For LESSONS: "What was the root cause and solution?"
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### Step 5: Make Updates
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Update files in this order:
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1. TODO.md - Mark tasks
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2. CODEBASE.md - Add files
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3. LESSONS.md - Add learnings
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4. CHANGELOG.md - Log everything
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5. STATUS.md - Update state if needed
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### Step 6: Confirm Updates
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Show summary:
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```
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## Updated Project Docs
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**TODO.md**: Marked T010, T011 as completed
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**CODEBASE.md**: Added webhook/llm_service.py
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**CHANGELOG.md**: Added entry for LLM service implementation
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Ready to commit? Run: git add . && git commit
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```
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### Step 7: Trigger Cleanup Check
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After confirming updates, automatically check for cleanup:
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1. Scan for temporary/draft files (see `/pp-clean` for patterns)
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2. If files found, show preview:
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```
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## Cleanup Check
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Found files to clean:
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- DELETE: scratch_test.md, debug_output.md
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- ARCHIVE: draft_notes.md
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Run cleanup? (yes/no/skip)
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```
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3. If user confirms, execute cleanup per `/pp-clean` logic
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4. If user skips, remind: "Run `/pp-clean` later to tidy up"
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This keeps project clean after each update cycle.
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## Query Examples
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```bash
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# After completing tasks
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/pp-update completed T010 and T011, added llm_service.py
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# After fixing a bug
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/pp-update fixed the referral data extraction bug
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# After changing approach
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/pp-update changed booking flow to conversational style
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# General update (will ask questions)
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/pp-update
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```
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## Update Both Levels
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- If change affects only subproject → update subproject files
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- If change affects multiple subprojects → update root files too
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- CHANGELOG goes in subproject unless it's cross-project
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