Campaign Management Skill#

Manages the lifecycle of marketing campaigns — reads packages, tracks state, generates reports.

Campaign Package Structure#

Each campaign lives in campaigns/<name>/ with this structure:

text

campaigns/<name>/
  brief.md              # REQUIRED — product, audience, ICP, tone
  config.yaml           # REQUIRED — settings (mode, language, depth, platforms)
  leads.csv             # OPTIONAL — pre-loaded leads (if empty, researcher discovers)
  messages/             # OPTIONAL — message templates for outreach mode
    linkedin-connect.md
    email-cold.md
    email-followup-1.md
  assets/               # OPTIONAL — images, attachments

  # Generated by the system:
  enriched-leads.csv    # Output from researcher
  intel/                # Per-lead intelligence files
  outbox/               # Personalized messages (outreach/autonomous mode)
  state.json            # Campaign progress tracker
  report.md             # Final campaign report
  logs/                 # Execution logs

brief.md Format#

markdown

# Campaign: [Name]

## Product
[What the product/service is. What problem it solves. URL if available.]

## Target Audience
- Industries: [fintech, healthcare, logistics, etc.]
- Titles: [CTO, VP Engineering, Head of Data, etc.]
- Geography: [Israel, US East Coast, Europe, etc.]
- Company size: [10-50, 50-500, 500+, Series A-C, etc.]

## Value Proposition
[Why this audience cares. What pain point we solve.]

## Tone
[Professional, casual, bold, warm, technical, etc.]

## Special Instructions
[Anything else — competitors to mention, angles to use, topics to reference]

config.yaml Format#

yaml

mode: intelligence          # intelligence | outreach | autonomous
language: en                # en | he | both
research_depth: quick       # quick | deep

# Email settings (outreach/autonomous mode)
email_provider: gmail       # gmail | outlook
secondary_domain: null      # NEVER use primary domain for cold outreach

# Rate limits
linkedin:
  connections_per_day: 20
  messages_per_day: 50
  delay_seconds: 30
email:
  sends_per_hour: 20
  delay_seconds: 10
social:
  x_posts_per_day: 5
  reddit_posts_per_day: 3

# Schedule
active_hours: "09:00-18:00"
timezone: "Asia/Jerusalem"
workdays: [0, 1, 2, 3, 4]  # Sun-Thu

state.json Format#

json

{
  "campaign": "congreat-data",
  "mode": "intelligence",
  "status": "running",
  "started_at": "2026-03-24T09:00:00Z",
  "updated_at": "2026-03-24T10:30:00Z",
  "leads": {
    "target": 100,
    "discovered": 45,
    "enriched": 30,
    "emails_found": 28,
    "phones_found": 12,
    "emails_verified": 20
  },
  "outreach": {
    "messages_drafted": 0,
    "emails_sent": 0,
    "linkedin_sent": 0,
    "replies": 0,
    "bounced": 0
  },
  "paused": false,
  "errors": []
}

Commands#

/launch#

Start a campaign. Reads the package, validates it, begins execution based on mode.

/campaign-status#

Show current state.json — how many leads found, messages sent, etc.

/pause#

Set paused: true. All soldiers stop.

Report Generation#

After intelligence mode completes, generate report.md:

markdown

# Campaign Intelligence Report: [Name]

## Summary
- Leads discovered: X
- Emails found: X (Y verified)
- Phone numbers found: X
- Industries covered: [list]
- Average intent score: X

## Top Leads (by intent score)
| Name | Title | Company | Email | Intent | Key Signal |
|------|-------|---------|-------|--------|------------|
| ...  | ...   | ...     | ...   | high   | ...        |

## Industry Breakdown
- Fintech: X leads
- Healthcare: X leads
...

## Recommended Next Steps
1. Review enriched-leads.csv
2. Switch to outreach mode when ready
3. Prepare message templates in messages/