# RECOMMENDED: Refresh status and regenerate dashboard
/bizdev-opportunity refresh

# Full iterative scan with Haiku 4.5
/bizdev-opportunity scan-deep --folder-id YOUR_FOLDER_ID --lookback 6

# Resume interrupted session
/bizdev-opportunity execute

# Generate dashboard
/bizdev-opportunity report

# Search for contact context
/bizdev-opportunity context "Dr. Smith" --email [email protected]

# View opportunity details
/bizdev-opportunity detail opp-abc123

# Prepare proposal
/bizdev-opportunity proposal opp-abc123

# Add notes to an opportunity
/bizdev-opportunity note opp-001 "Bill prefers technical details" --type approach_guidance

# Archive/unarchive opportunities
/bizdev-opportunity archive opp-001 --reason "Unresponsive"
/bizdev-opportunity unarchive opp-001

import sys
sys.path.insert(0, '.claude/skills/bizdev-opportunity')
from degradation_detector import DegradationDetector
import json

detector = DegradationDetector()
report = detector.run_health_check()
print(json.dumps(report, indent=2, default=str))

if report["has_degradation"]:
    print("⚠ DEGRADATION DETECTED - address alerts before proceeding")
    for alert in report["alerts"]:
        print(f"  [{alert['severity']}] {alert['message']}")
        print(f"  → {alert['recommendation']}")

from context_registry import ContextRegistry

registry = ContextRegistry.load()
state = registry.get_or_create("opp-001", "Contact Name", "[email protected]", "Company")

# Check if context is sufficient
passed = state.evaluate_gate(require_pricing=False)
if not passed:
    print(f"BLOCKED: {state.context_gate_failures}")
    # Must gather missing context before proceeding

# Proposals require pricing extraction
passed = state.evaluate_gate(require_pricing=True)
if not passed:
    print(f"BLOCKED: {state.context_gate_failures}")
    # MUST search transcripts for pricing terms

from draft_ledger import DraftLedger

ledger = DraftLedger.load()
entry = ledger.log_draft(
    opportunity_id="opp-001",
    draft_type="email",  # or "proposal"
    contact_name="Contact Name",
    content=draft_content,
    file_path=".bizdev/drafts/emails/contact.md",
    quality_result={"score": 0.85, "passed": True, "passedChecks": [...], "failedChecks": [...]}
)
ledger.save()

detector.save_snapshot()  # Save health snapshot for next session
registry.save()           # Save context state
ledger.save()             # Save draft history

cc = CommandCenter.initialize()

# View all three streams at once
summary = cc.get_task_summary()

# Today's critical actions (across all streams)
today = cc.get_today_actions()

# Filter by stream
personal = cc.get_stream_tasks("personal")
product = cc.get_stream_tasks("product")
professional = cc.get_stream_tasks("professional")

# Filter by owner (team member view)
jeff_queue = cc.get_owner_queue("jeff")
julie_queue = cc.get_owner_queue("julie")

# Add a task manually
cc.add_task(
    title="Return Leela's library books",
    stream="personal",
    priority="high",
    due_date="2026-02-06"
)

# Complete a task
cc.complete_task("per-0001")

cc = CommandCenter.initialize()

# Import from bizdev pipeline (creates professional tasks from opportunities)
cc.import_bizdev_tasks(opportunities_list)

# Import from Motion meeting recaps (auto-categorizes into all three streams)
cc.import_motion_tasks(motion_recaps)

# Import from Slack messages (Julie's priorities + team channels)
cc.import_slack_tasks(slack_tasks)

Pipeline Opportunities
        ↓
Context Registry (are transcripts/emails/pricing searched?)
        ↓
Proactive Drafter (scan for readiness)
        ↓
Tee-Up Queue (ready briefs with document-studio instructions)
        ↓
Document Studio (generates proposal/email HTML)
        ↓
Draft Ledger (logs result with quality score)

cc = CommandCenter.initialize()

# Scan pipeline for ready-to-generate opportunities
teeup = cc.scan_for_teeup(opportunities)
# Returns: {ready_count: 5, almost_ready_count: 8, ready_emails: 4, ready_proposals: 1}

# Get highest-priority ready brief
next_draft = cc.get_next_teeup()
# Returns: {instructions: "...", output_path: "...", contact: "...", type: "..."}
# Pass next_draft["instructions"] to /document-studio

# See what's blocking almost-ready drafts
unblock = cc.get_teeup_unblock_actions()
# Returns: {"opp-001:email_warm": ["Search transcripts for 'Dr. Smith'"]}

from proactive_drafter import scan_and_teeup, get_next_to_generate

# One-call scan + save queue
summary = scan_and_teeup(min_priority=50.0)

# Get next ready brief
next_brief = get_next_to_generate()
if next_brief:
    print(next_brief["instructions"])  # Pass to document-studio

# Refresh all opportunities (status + next steps)
python3 .bizdev/scripts/opportunity_refresh.py refresh

# Refresh single opportunity
python3 .bizdev/scripts/opportunity_refresh.py refresh opp-001

# Show detailed status for one opportunity
python3 .bizdev/scripts/opportunity_refresh.py status opp-001

# Generate dashboard after refresh
python3 .bizdev/scripts/generate_dashboard.py

# Or do both in one command
python3 .bizdev/scripts/generate_dashboard.py --refresh

{
  "auto_status": {
    "generated_at": "2026-02-04T12:00:00Z",
    "summary": "Engaged - reviewing proposal",
    "detail": "Topics: Pricing Discussion, API Integration",
    "activity_level": "warm",
    "email_status": {
      "sentiment": "positive",
      "mentioned_topics": ["Pricing Discussion", "API Integration"]
    },
    "meeting_outcomes": {
      "meetings_found": 2,
      "summary": "Positive meeting - agreed on next steps"
    }
  },
  "auto_next_steps": {
    "generated_at": "2026-02-04T12:00:00Z",
    "primary_action": {
      "action": "Follow up on proposal",
      "type": "email",
      "urgency": "high"
    },
    "secondary_actions": [
      {"action": "Add approach notes for better drafting", "type": "note"}
    ],
    "email_draft": ".bizdev/drafts/emails/opp-001-larry-siegel.md",
    "proposal_draft": ".bizdev/drafts/proposals/opp-001-larry-siegel.html",
    "urgency": "high"
  }
}

# Generate and open dashboard
python3 .bizdev/scripts/generate_dashboard.py
open content/docs/bizdev-dashboard-comprehensive.html

# Or serve via HTTP
cd content/docs && python3 -m http.server 8888 &
open "http://localhost:8888/bizdev-dashboard-comprehensive.html"

┌─────────────────────────────────────────────────────────────────┐
│  ORCHESTRATOR (Sonnet/Opus) - You                               │
│  - Lists items to process (transcripts, emails, Slack)          │
│  - Dispatches Haiku subagents in parallel                       │
│  - Aggregates results into crm-state.json                       │
│  - Generates dashboard from accumulated state                   │
└─────────────────────────────────────────────────────────────────┘
                              │
        ┌─────────────────────┼─────────────────────┐
        ▼                     ▼                     ▼
┌───────────────┐   ┌───────────────┐   ┌───────────────┐
│ Haiku Agent 1 │   │ Haiku Agent 2 │   │ Haiku Agent 3 │
│ Transcript    │   │ Email Thread  │   │ Slack Thread  │
│               │   │               │   │               │
│ Returns JSON: │   │ Returns JSON: │   │ Returns JSON: │
│ - Contacts    │   │ - Contact     │   │ - Tasks       │
│ - Opps (multi)│   │ - Thread stat │   │ - Decisions   │
│ - Commitments │   │ - Opps        │   │ - Blockers    │
│ - Next steps  │   │ - Actions     │   │ - Category    │
└───────────────┘   └───────────────┘   └───────────────┘

/bizdev-opportunity deep-scan --lookback 3

/bizdev-opportunity update

Task(
  subagent_type="general-purpose",
  model="haiku",
  prompt="""
[Extraction prompt from extraction_prompts.md]

**CONTENT TO ANALYZE:**
{actual_content}

Return ONLY valid JSON, no additional text.
""",
  description="Extract opportunities from [transcript/email/slack]"
)

# In a single message, dispatch multiple subagents:
Task(model="haiku", prompt="Analyze transcript 1...", description="Extract: Larry Siegel")
Task(model="haiku", prompt="Analyze email thread 2...", description="Extract: Bill Liatsis")
Task(model="haiku", prompt="Analyze Slack DM 3...", description="Extract: Julie tasks")

{
  "last_scan": "2026-02-04T10:00:00Z",
  "processed_items": {
    "transcripts": {
      "drive-file-123": {"processed_at": "2026-02-04T10:05:00Z", "opportunities_found": 2}
    },
    "emails": {
      "thread-abc": {"processed_at": "2026-02-04T10:06:00Z", "contact": "[email protected]"}
    },
    "slack": {
      "C123-1234567890": {"processed_at": "2026-02-04T10:07:00Z", "category": "personal_admin"}
    }
  },
  "contacts": {
    "[email protected]": {
      "name": "Bill Liatsis",
      "company": "Helos",
      "opportunities": ["opp-bill-enterprise", "opp-bill-consulting"],
      "last_contact": "2026-02-01",
      "awaiting_response_from": "them"
    }
  },
  "opportunities": [...],
  "tasks": {
    "product_work": [...],
    "personal_admin": [...]
  }
}

# Search for pricing discussions
grep -i "199\|299\|499\|discount\|special\|offer\|month" .bizdev/drafts/*<contact>*
grep -i "pricing\|rate\|cost" <transcript_file>

from context_validator import validate_context

is_valid, assessment = validate_context(opportunity, "warm-followup")
if not is_valid:
    # Trigger auto-enrichment or flag for manual review
    for gap in assessment["gaps"]:
        print(f"Missing: {gap['field']} - {gap['issue']}")

# Get full context for a contact
python3 .bizdev/scripts/fetch_email_context.py --email [email protected] --name "Ali Zaidi" --format-prompt

# Extract signals in JSON format
python3 .bizdev/scripts/fetch_email_context.py --email [email protected] --extract-signals

# Get specific thread
python3 .bizdev/scripts/fetch_email_context.py --thread 19bbda6ce9a1205b

# Search for emails
GOG_KEYRING_PASSWORD=ngm [email protected] \
  gog gmail search "from:[email protected] OR to:[email protected]" --max 5

# Get thread content
GOG_KEYRING_PASSWORD=ngm [email protected] \
  gog gmail thread THREAD_ID

cd /path/to/project

# Generate contextual drafts for ALL opportunities (requires ANTHROPIC_API_KEY)
python3 .bizdev/scripts/iterative_draft_generator.py

# Generate draft for a SINGLE opportunity (recommended for testing)
python3 .bizdev/scripts/iterative_draft_generator.py --single opp-002

# Dry run to see context extraction without LLM calls
python3 .bizdev/scripts/iterative_draft_generator.py --dry-run

# Get the contextual prompt for Claude to execute
python3 .bizdev/scripts/generate_draft_for_opportunity.py opp-002 email
python3 .bizdev/scripts/generate_draft_for_opportunity.py opp-002 proposal

Priority Score = (Confidence × 0.4) + Time_Score + Engagement_Score + Type_Value + Bonuses

Where:
- Time_Score: 5-20 based on days since contact + awaiting response boost
- Engagement_Score: 0-20 based on communication history balance
- Type_Value: consulting=1.5×, enterprise=1.4×, membership=1.0×, commons=0.8×
- Bonuses: +5 explicit interest, +5 follow-up request, +3-15 urgency level

# Search all emails with a contact
GOG_KEYRING_PASSWORD=ngm [email protected] \
  gog gmail search "from:[email protected] OR to:[email protected]" --max 10

# Get full thread content
GOG_KEYRING_PASSWORD=ngm [email protected] \
  gog gmail thread THREAD_ID

# Search sent emails to a contact
GOG_KEYRING_PASSWORD=ngm [email protected] \
  gog gmail search "to:[email protected] in:sent" --max 20

# Use the fetch_email_context.py helper for structured output
python3 .bizdev/scripts/fetch_email_context.py --email [email protected] --format-prompt

cd /home/botadmin/clawd/ngm-website-official
python3 .bizdev/run_priority_scan.py

┌────────────────────────────────────────────────────────────────────────┐
│                      /bizdev-opportunity                                │
│                                                                         │
│  ┌─────────────┐   ┌───────────────────────────────────────────────┐   │
│  │   PLANNING  │   │              EXECUTION LOOP                   │   │
│  │             │──▶│                                               │   │
│  │ • Parse     │   │  ┌─────────┐  ┌─────────┐  ┌───────────────┐ │   │
│  │   sources   │   │  │ SCAN    │─▶│ ANALYZE │─▶│ QUALITY GATE  │ │   │
│  │ • Generate  │   │  │ Source  │  │ Signals │  │ (Pass/Fail)   │ │   │
│  │   task PRD  │   │  └─────────┘  └─────────┘  └───────┬───────┘ │   │
│  │ • Init      │   │                                    │         │   │
│  │   tracking  │   │  ┌─────────┐  ┌─────────┐  ┌───────▼───────┐ │   │
│  └─────────────┘   │  │ REFINE  │◀─│EVALUATE │◀─│ UNIFIED CTX   │ │   │
│                    │  │ (loop)  │  │ Quality │  │ + DRAFT       │ │   │
│                    │  └────┬────┘  └─────────┘  └───────────────┘ │   │
│                    │       │                                       │   │
│                    │       ▼ (max 3 iterations per item)           │   │
│                    └───────────────────────────────────────────────┘   │
│                                                                         │
│  ┌─────────────────────────────────────────────────────────────────┐   │
│  │                     AUDIT LOG & LEARNING                        │   │
│  │  Every action logged • Patterns captured • Context preserved    │   │
│  │  Unified context: Transcripts + Emails merged before drafting   │   │
│  └─────────────────────────────────────────────────────────────────┘   │
└────────────────────────────────────────────────────────────────────────┘

FOR each transcript:
  1. Read full transcript content
  2. Identify contact name(s) and company
  3. Extract ALL service interests mentioned:
     - Consulting signals: "advisory", "strategy", "guidance", "mentor"
     - Enterprise signals: "platform", "API", "integration", "scale", "multi-location"
     - Membership signals: "join", "subscribe", "reports", "access"
     - Report Generator signals: "lab reports", "biomarkers", "interpretation"
     - Commons signals: "partnership", "profile", "directory", "visibility"
     - Media signals: "podcast", "interview", "article", "content"
  4. CREATE SEPARATE OPPORTUNITY ROWS for each type with signals
  5. Cross-reference with email threads for additional context

.bizdev/
├── prd.json              # Current PRD with task status
├── progress.txt          # Learnings and patterns
├── opportunities.json    # Discovered opportunities
└── drafts/
    ├── emails/           # Generated email drafts (.md source)
    └── proposals/        # Generated proposals (.html)

content/docs/
├── bizdev-pipeline-deep-scan.html    # Main dashboard
└── bizdev-drafts/
    ├── emails/           # Browser-viewable email drafts (.html)
    └── proposals/        # Browser-viewable proposals (.html)

.claude/skills/bizdev-opportunity/changelogs/
└── session-YYYY-MM-DD-HHmmss.md   # Session audit logs

cd content/docs && python3 -m http.server 8080 &
open "http://localhost:8080/bizdev-pipeline-deep-scan.html"

pkill -f "python3 -m http.server 8080"

cd "/path/to/project"
for f in .bizdev/drafts/emails/*.md; do
  name=$(basename "$f" .md)
  to=$(grep "^To:" "$f" | sed 's/^To: //')
  subject=$(grep "^Subject:" "$f" | sed 's/^Subject: //')
  body=$(sed '1,/^---$/d' "$f" | sed '1,/^---$/d')
  
  cat > "content/docs/bizdev-drafts/emails/${name}.html" << HTMLEOF
<!DOCTYPE html>
<html>
<head>
  <meta charset="UTF-8">
  <title>Email: ${subject}</title>
  <style>
    body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; max-width: 700px; margin: 40px auto; padding: 20px; line-height: 1.6; background: #f5f5f5; }
    .email-container { background: white; border-radius: 12px; box-shadow: 0 2px 8px rgba(0,0,0,0.1); overflow: hidden; }
    .email-header { background: #1a1a2e; color: white; padding: 20px; }
    .email-header h2 { margin: 0 0 5px 0; font-size: 14px; opacity: 0.7; }
    .email-header h1 { margin: 0; font-size: 18px; }
    .email-meta { padding: 15px 20px; background: #f8f9fa; border-bottom: 1px solid #eee; font-size: 14px; }
    .email-body { padding: 25px; font-size: 15px; color: #333; }
    .email-body p { margin: 0 0 15px 0; }
    .email-body strong { font-weight: 600; }
    .email-body ul { margin: 10px 0 15px 0; padding-left: 20px; }
    .email-body li { margin: 5px 0; }
    .copy-btn { position: fixed; top: 20px; right: 20px; background: #2563eb; color: white; border: none; padding: 12px 20px; border-radius: 8px; cursor: pointer; font-size: 14px; font-weight: 500; }
    .copy-btn:hover { background: #1d4ed8; }
    .copy-btn.copied { background: #059669; }
    .back-link { display: inline-block; margin-bottom: 15px; color: #2563eb; text-decoration: none; font-size: 14px; }
  </style>
</head>
<body>
  <a href="../../bizdev-pipeline-deep-scan.html" class="back-link">← Back to Dashboard</a>
  <button class="copy-btn" onclick="copyEmail()">Copy Email</button>
  <div class="email-container">
    <div class="email-header">
      <h2>TO</h2>
      <h1>${to}</h1>
    </div>
    <div class="email-meta">
      <span><strong>Subject:</strong> ${subject}</span>
    </div>
    <div class="email-body" id="emailBody">
      <!-- Markdown body converted to HTML -->
    </div>
  </div>
  <script>
    function copyEmail() {
      const body = document.getElementById('emailBody').innerText;
      navigator.clipboard.writeText(body).then(() => {
        const btn = document.querySelector('.copy-btn');
        btn.textContent = 'Copied!';
        btn.classList.add('copied');
        setTimeout(() => { btn.textContent = 'Copy Email'; btn.classList.remove('copied'); }, 2000);
      });
    }
  </script>
</body>
</html>
HTMLEOF
done

┌─────────────────────────────────────────────────────────────────────────────┐
│                      UNIFIED CONTEXT AGGREGATION                             │
│                                                                              │
│  ┌───────────────────┐        ┌───────────────────┐                         │
│  │   TRANSCRIPTS     │        │      EMAILS       │                         │
│  │ • PDF meeting     │        │ • Gmail threads   │                         │
│  │   transcripts     │        │ • Prior outreach  │                         │
│  │ • Pain points     │        │ • Commitments     │                         │
│  │ • Discussed items │        │ • Action items    │                         │
│  └─────────┬─────────┘        └─────────┬─────────┘                         │
│            │                            │                                    │
│            └──────────┬─────────────────┘                                   │
│                       ▼                                                      │
│           ┌───────────────────────┐                                         │
│           │   MERGE & DEDUPE      │                                         │
│           │ • Match by contact    │                                         │
│           │ • Chronological order │                                         │
│           │ • Extract key signals │                                         │
│           └───────────┬───────────┘                                         │
│                       ▼                                                      │
│           ┌───────────────────────┐                                         │
│           │  UNIFIED CONTEXT      │                                         │
│           │ • All touchpoints     │                                         │
│           │ • Relationship stage  │                                         │
│           │ • Open action items   │                                         │
│           │ • Pain points summary │                                         │
│           └───────────┬───────────┘                                         │
│                       ▼                                                      │
│           ┌───────────────────────┐                                         │
│           │  DRAFT EMAIL/PROPOSAL │                                         │
│           │ • References meetings │                                         │
│           │ • Continues threads   │                                         │
│           │ • Honors commitments  │                                         │
│           └───────────────────────┘                                         │
└─────────────────────────────────────────────────────────────────────────────┘

## Unified Context for: Dr. James Smith

### Relationship Summary
- **First Contact:** Meeting (2026-01-10)
- **Total Touchpoints:** 4 (2 meetings, 2 email threads)
- **Relationship Stage:** warm_engaged

### Key Signals (Chronological)
1. [Meeting 2026-01-10] Discussed lab interpretation challenges
2. [Email 2026-01-12] Sent API documentation, asked about timeline
3. [Meeting 2026-01-18] Demoed report generator, mentioned budget approval pending
4. [Email 2026-01-20] Confirmed interest in pilot program

### Open Action Items
- [ ] Send pricing proposal (from meeting 2026-01-18)
- [ ] Schedule follow-up with their tech lead (from email 2026-01-20)

### Pain Points Mentioned
- Manual lab interpretation taking too much time
- Staff overwhelmed with patient volume
- Need for scalable solution before Q2

> /bizdev-opportunity scan-iterative --folder-id 1abc123 --lookback 3

BIZDEV OPPORTUNITY PLANNING
━━━━━━━━━━━━━━━━━━━━━━━━━━━

Sources Found:
  - 8 transcripts in Google Drive
  - 12 matching email threads

Tasks Generated: 20
  - Scan & Extract: 20
  - Email Drafts: TBD (depends on scores)
  - Proposals: TBD (depends on scores)

PRD saved to: .bizdev/prd.json
Progress log: .bizdev/progress.txt

Begin iterative execution? [Y/n]

---

ITERATION 3 of 20
━━━━━━━━━━━━━━━━

Source: Meeting-DrSmith-2026-01-10.docx
Status: IN_PROGRESS

Step 1: Scanning...
  ✓ 3 signals extracted
  ✓ Contact: Dr. James Smith, Smith Wellness
  
Step 2: Quality Gate (Opportunity)
  ✓ Signal confidence: 0.78 (≥0.6)
  ✓ Contact completeness: PASS
  ✓ Classification: consulting (0.82)
  
Step 3: Drafting Email...
  → Searching Gmail for prior context...
    Found: 2 prior threads with Dr. Smith
  → Generating warm follow-up email
  
Step 4: Quality Gate (Email)
  ✗ FAIL: Opens with sales pitch
  → Iteration 1: Refining...
  ✓ PASS: Value-first opening, clear CTA
  
Step 5: Drafting Proposal (score: 72 ≥ 60)
  ✓ Proposal generated
  ✓ Quality Gate: PASS

Step 6: Logging...
  → Updated progress.txt
  → Opportunity saved

Iteration 3 complete: PASSED

---

FINAL REPORT
━━━━━━━━━━━━

Opportunities Found: 15
  - High Priority (≥70): 4
  - Medium (40-69): 7
  - Low (<40): 4

Drafts Generated:
  - Emails: 11 (4 cold, 5 warm, 2 re-engagement)
  - Proposals: 4

Quality Gate Results:
  - Pass on first try: 8
  - Pass after refinement: 5
  - Skipped (low confidence): 7

Outputs:
  - Dashboard: content/docs/bizdev-dashboard-2026-01-16.html
  - Email drafts: .bizdev/drafts/emails/
  - Proposals: .bizdev/drafts/proposals/

Learnings captured in: .bizdev/progress.txt

{
  "mcpServers": {
    "google-drive": {
      "command": "npx",
      "args": ["ts-node", "mcp-servers/google-drive/src/index.ts"],
      "env": {
        "GOOGLE_SERVICE_ACCOUNT_PATH": "path/to/service-account.json"
      }
    },
    "gmail": {
      "command": "npx",
      "args": ["ts-node", "mcp-servers/gmail/src/index.ts"],
      "env": {
        "GOOGLE_SERVICE_ACCOUNT_PATH": "path/to/service-account.json",
        "GMAIL_USER_EMAIL": "[email protected]"
      }
    }
  }
}

# Get ALL files from transcript folder (handle pagination if >100)
mcp__google-drive__list_files(folder_id="1CfvHgljboEJy9TB29ZvUp6nIavgODDkI", page_size=1000)

# Search Julie's daily messages
mcp__slack__conversations_search_messages(
  search_query="from:julie priorities",
  filter_date_after="2026-01-20",
  limit=30
)

# Search for Motion recap emails (last 3 months)
gog gmail search "from:motion subject:recap after:2025/11/01" --max=100

# Get specific recap content
gog gmail thread <email_id>

.ai-workspaces/.bizdev/
├── contacts_deduplicated.json  # 139 contacts, 195 opportunities
├── transcript_queue.json       # 196 transcript entries
├── deep_scan_results/          # 196 individual extraction JSONs
└── run_deep_scan.py           # Original Haiku extraction script

.bizdev/
├── opportunities-enhanced.json     # Sales/BizDev opportunities (204+)
├── task-state.json                 # Product + Personal tasks
├── deep-scan-transcripts.json      # Current transcript list
├── deep-scan-transcripts-comprehensive.json  # Full 420 transcripts
└── crm-state.json                  # Unified CRM state

content/docs/
└── bizdev-dashboard-comprehensive.html  # All 3 categories dashboard

import json

# Load old data
with open('.ai-workspaces/.bizdev/contacts_deduplicated.json') as f:
    old_contacts = json.load(f)

# Load current data
with open('.bizdev/opportunities-enhanced.json') as f:
    current = json.load(f)

# Find missing contacts
current_names = {o['contact_name'] for o in current.get('opportunities', [])}
for contact in old_contacts:
    if contact['name'] not in current_names:
        # Migrate this contact's opportunities
        for opp in contact.get('opportunities', []):
            # Add to current system
            pass

# Download PDF with proper binary handling
GOG_KEYRING_PASSWORD=ngm [email protected] \
  gog drive download FILE_ID --out /tmp/transcript.pdf

# Then extract text with pdfplumber
python3 -c "
import pdfplumber
with pdfplumber.open('/tmp/transcript.pdf') as pdf:
    text = ''
    for page in pdf.pages:
        text += page.extract_text() or ''
    print(text)
"

import subprocess
import pdfplumber
import os

def download_and_extract_pdf(file_id: str, name: str) -> str:
    """Download PDF via gog CLI and extract text."""
    output_path = f"/tmp/{name}.pdf"

    # Download with proper binary handling
    result = subprocess.run([
        "gog", "drive", "download", file_id, "--out", output_path
    ], capture_output=True, text=True, env={
        **os.environ,
        "GOG_KEYRING_PASSWORD": "ngm",
        "GOG_ACCOUNT": "[email protected]"
    })

    if result.returncode != 0:
        raise Exception(f"Download failed: {result.stderr}")

    # Extract text
    with pdfplumber.open(output_path) as pdf:
        text = ""
        for page in pdf.pages:
            page_text = page.extract_text()
            if page_text:
                text += page_text + "\n"

    return text

{
  "extraction_issues": [
    {
      "name": "Meeting-Name-Date",
      "file_id": "DRIVE_FILE_ID",
      "issue": "Description of the issue",
      "resolution": "Use gog drive download instead of MCP"
    }
  ]
}

/bizdev-opportunity execute

# Scan recent emails and Motion recaps (default 7 days)
/bizdev-opportunity scan-recent

# Custom lookback period
/bizdev-opportunity scan-recent --days 14

# Scan only Motion recaps
/bizdev-opportunity scan-recent --motion-only

# Scan only emails
/bizdev-opportunity scan-recent --email-only

# Start HTTP server for dashboard button integration
/bizdev-opportunity scan-server

# Full system scan (Slack, Email, Motion, Repo)
/bizdev-opportunity command-center scan

# Scan specific sources
/bizdev-opportunity command-center scan --slack-only
/bizdev-opportunity command-center scan --motion-only
/bizdev-opportunity command-center scan --bizdev-only

# Task management
/bizdev-opportunity command-center add "Task title" --owner jeff --category product
/bizdev-opportunity command-center complete task-001

# Team views
/bizdev-opportunity command-center queue jeff
/bizdev-opportunity command-center queue julie
/bizdev-opportunity command-center queue ayen

# Generate dashboard
/bizdev-opportunity command-center dashboard

# Unified scan with HTTP server support
python3 .bizdev/scripts/scan_recent.py                    # Default 7 days
python3 .bizdev/scripts/scan_recent.py --days 14          # Custom lookback
python3 .bizdev/scripts/scan_recent.py --server           # Start HTTP server
python3 .bizdev/scripts/scan_recent.py --port 8765        # Custom server port

# Master scanner for multi-source tasks
python3 .bizdev/scripts/master_scanner.py scan            # Full scan
python3 .bizdev/scripts/master_scanner.py scan --slack-only
python3 .bizdev/scripts/master_scanner.py scan --motion-only
python3 .bizdev/scripts/master_scanner.py queue jeff      # Show Jeff's tasks
python3 .bizdev/scripts/master_scanner.py add "Task" --owner julie --category backend

# Generate unified dashboard
python3 .bizdev/scripts/generate_master_dashboard.py

TODO: <task>
ACTION ITEM: <task>
TASK: <task>
@jeff/@julie/@ayen: <task>
[TASK] <task>
- [ ] <checkbox item>
Can you <verb>...
Please <verb>...
Need to <verb>...

# Full audit across all sources
/bizdev-opportunity audit

# Audit specific source
/bizdev-opportunity audit --source motion
/bizdev-opportunity audit --source bizdev
/bizdev-opportunity audit --source drafts

# Show only gaps (no suggestions)
/bizdev-opportunity audit-gaps

# Full audit
python3 .bizdev/scripts/thoroughness_auditor.py audit

# Audit specific source
python3 .bizdev/scripts/thoroughness_auditor.py audit --source motion
python3 .bizdev/scripts/thoroughness_auditor.py audit --source bizdev
python3 .bizdev/scripts/thoroughness_auditor.py audit --source drafts
python3 .bizdev/scripts/thoroughness_auditor.py audit --source cross_reference

# Show only gaps
python3 .bizdev/scripts/thoroughness_auditor.py gaps

# Generate full report
python3 .bizdev/scripts/thoroughness_auditor.py report