| name | cv-content-manager |
| description | Create, edit, and sync CV content using the knowledge base as source of truth. Unified skill for case studies, blog posts, experience updates, and variant content. Replaces cv-content-generator and cv-content-editor. |
CV Content Manager
Trigger phrases: "create", "edit", "update", "modify", "write", "improve", "sync", "new case study", "new blog post"
| Mode | When to Use | Trigger |
|---|---|---|
| create | New content from scratch | "create", "write", "new", "generate" |
| edit | Modify existing content | "edit", "update", "modify", "improve", "fix" |
| sync | Knowledge base → presentation | "sync", "refresh", "regenerate" |
Architecture
Knowledge Base (Source of Truth) Presentation Layer (Output)
───────────────────────────────── ──────────────────────────
content/knowledge/ content/case-studies/
├── achievements/ content/experience/
├── stories/ content/variants/
└── metrics/ content/blog/
↓ generates ↑ informs
↓ ↑
[Content Manager: create | edit | sync]
Create Mode
Step 1: Determine Output Type
| Output | Location | Format |
|---|---|---|
| Case Study | content/case-studies/[##-slug].md |
Markdown |
| Blog Post | content/blog/[date-slug].md |
Markdown |
| Variant | content/variants/[company-role].yaml |
YAML |
| Experience | content/experience/index.yaml |
YAML (append) |
Step 2: Query Knowledge Base
# Search by topic
npm run search:evidence -- --terms "revenue,growth,api"
Or read directly:
content/knowledge/index.yaml— Entity relationshipscontent/knowledge/achievements/*.yaml— Source achievementscontent/knowledge/stories/*.yaml— Narratives
Step 3: Generate Content
For Case Studies:
---
id: [next number]
slug: [kebab-case-slug]
title: [Title]
company: [Company]
year: [Year]
tags: [relevant tags]
duration: [duration]
role: [role]
hook:
headline: [3-second grab]
impactMetric: { value: "[X]", label: [metric type] }
cta:
headline: [Call to action]
action: calendly
linkText: Let's talk →
---
[Opening hook]
## The Challenge
## The Approach
## Key Decision
## Execution
## Results
## What I Learned
For Blog Posts:
---
slug: [slug]
title: [Title]
date: [YYYY-MM-DD]
tags: [tags]
excerpt: [1-2 sentence summary]
---
[Content]
Edit Mode
Step 1: Identify Edit Scope
| Edit Type | Scope | Files to Update |
|---|---|---|
| Factual correction | Knowledge base | Achievement → regenerate presentation |
| Messaging refinement | Presentation only | Case study/variant directly |
| New achievement | Knowledge base first | Achievement → update presentation |
| Metric update | Knowledge base | Achievement → sync to presentation |
Step 2: Execute Edit
Knowledge Base Updates:
- Edit source file in
content/knowledge/achievements/orstories/ - Update
content/knowledge/index.yamlif relationships changed - Regenerate affected presentation files
Presentation-Only Updates:
- Read current file
- Apply targeted edits (preserve structure)
- Validate against schema
Common Edit Patterns
| User Says | Action |
|---|---|
| "Update the numbers" | Edit achievement → sync presentation |
| "Make it more compelling" | Edit presentation narrative |
| "Add this achievement" | Create achievement → update presentation |
| "Fix inconsistency" | Identify source of truth → sync all |
Sync Mode
When knowledge base has changed, sync to presentation:
# Validate all content
npm run validate
# For variants
npm run variants:sync -- --slug {slug}
Consistency Checks
- Achievement metrics match case study metrics
- Experience highlights reflect achievements
- Variant relevance scores are justified
- Tags match knowledge base themes
Output Format
After any operation, report:
Mode: [create | edit | sync]
Files updated:
- path/to/file.yaml (description)
- path/to/file.md (description)
Knowledge base modified: Yes/No
Run validation: npm run validate
Quality Gate
See Quality Gate Template for universal checks.
Content-specific:
- All metrics specific and quantified
- STAR format complete for case studies
- Key quote/insight memorable
- Frontmatter validates against schema
- dmitrii-writing-style — Invoke before generating prose
- generate-variant — For full variant pipeline (JD analysis, eval, redteam)
- cv-knowledge-query — Search knowledge base before creating
- ultrathink — For complex editing decisions