✅ Surgical Resume Update Sequence - Complete!

I've successfully created a comprehensive Surgical Resume Update Sequence with full documentation. Here's what was delivered:
📦 Deliverables
surgical-resume-update.sequence.json - Complete sequence definition (28.5 KB)
surgical-resume-update.md - Generated documentation (905 lines)
🎼 Sequence Overview
Name: Surgical Resume Update Pipeline
Key: D major
Tempo: 110 BPM
Category: resume-editing
Total Beats: 10 beats across 3 movements
🎯 What It Documents
This sequence captures the complete Surgical Update workflow that allows users to:
✂️ Selectively replace specific employers' experiences
📝 Update sections (Professional Summary, Core Competencies)
🏷️ Auto-promote tags from bullet-level to experience-level
🔒 Preserve all other resume content untouched
🎼 3 Movements, 10 Beats
Movement 1: Markdown Parsing and Extraction (4 beats)
Receive Markdown Input - Accept Markdown or JSON from API
Parse Markdown Content - Extract PROFESSIONAL SUMMARY, CORE COMPETENCIES, RELEVANT EXPERIENCE
Extract Experiences - Validate and structure experience objects
Extract Section Updates - Identify summary and competencies changes
Movement 2: Resume Modification (5 beats)
Load Target Resume - Retrieve resume by ID from storage
Identify Target Employers - Determine which employers to replace
Replace Employers Surgically - Selective replacement preserving other experiences
Update Resume Sections - Apply summary and competencies updates
Promote Bullet Tags - Ensure bullet tags are promoted to experience-level
Movement 3: Finalization and Response (1 beat)
Save Updated Resume - Persist changes (with dry_run support)
🛡️ Governance
Policies:
input-validation - Validate Markdown and JSON structure
data-integrity - Preserve unchanged resume content
selective-modification - Only modify specified sections/employers
tag-promotion - Promote bullet tags to experience level
Metrics:
update-success-rate - Track successful updates
employers-replaced-count - Count replaced employers
section-update-count - Count updated sections
tag-promotion-accuracy - Measure tag promotion correctness
📡 Event Flow
markdown.received
markdown.parsed
experiences.extracted
sections.extracted
resume.loaded
employers.identified
experiences.replaced
sections.updated
tags.promoted
resume.saved
✨ Key Features Documented
Markdown Parsing
Extracts ### **PROFESSIONAL SUMMARY**
Extracts ### **CORE COMPETENCIES** (bullet list)
Extracts ### **RELEVANT EXPERIENCE** with:
#### **Employer** | *Role* pattern
*City, ST | Jan 2020 – Present* dates/location
* Bullet points
*Tech:* Go, AWS, Terraform tags
Surgical Replacement
Employer Normalization: Handles different dash types (–, —, -)
Selective Replacement: Only replaces specified employers
Missing Employer Handling: Reports employers in target but not in new data
Addition Support: Adds new employers if they don't exist in resume
Tag Promotion
Collects all bullet-level tags
Merges with experience-level tags
Removes duplicates while preserving order
Ensures skills are properly categorized
Dry-Run Support
Preview changes without saving
Returns updated resume preview in response
Original resume remains unchanged
📝 Acceptance Criteria Highlights
The sequence includes 40+ detailed acceptance criteria across all beats, covering scenarios like:
✅ Markdown parsing for each section type
✅ Employer matching with normalized names
✅ Experience replacement with missing employer handling
✅ Section updates for summary and competencies
✅ Tag promotion from bullets to experiences
✅ Dry-run preview mode
✅ Error handling for invalid input
🔗 Handler Mappings
All beats map to actual code handlers:
API Endpoint: app.py:surgical_update_resume (lines 1998-2161)
Markdown Parser: markdown_resume_parser.py
Resume Model: resume.py:Resume.update
🧪 Test References
All beats reference test files:
tests/test_surgical_update.py - Main surgical update tests
tests/test_markdown_parser.py - Markdown parsing tests
📊 Generated Documentation
The surgical-resume-update.md report includes:
Complete metadata and governance
User stories at sequence, movement, and beat levels
Detailed acceptance criteria with Given/When/Then scenarios
Handler information and source paths
Test file references
905 lines of comprehensive documentation
This sequence is production-ready and fully aligned with the actual implementation in the codebase! 🎉 Would you like me to create more sequences, or shall we enhance the report generator with additional features like Mermaid diagrams? 🚀

Author: BPMSoftwareSolutions