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+---
+name: build-sequence
+description: Generate personalized, multi-touch outbound sequences across email, phone, and social.
+usage: /sales-prospecting:build-sequence --industry "SaaS" --persona "VP Sales" --length 5 --personalization high
+---
+
+# Build Sequence Command
+
+Create channel-mixed outreach cadences tailored to a given persona, industry, and ICP stage.
+
+## Command Syntax
+```bash
+/sales-prospecting:build-sequence \
+  --industry "<segment>" \
+  --persona "<role>" \
+  --length <touches> \
+  --personalization <low|medium|high> \
+  --channels "email,linkedin,phone"
+```
+
+### Parameters
+- `--industry`: Industry vertical for context and proof points.
+- `--persona`: Buyer role or title.
+- `--length`: Number of touches (default 5).
+- `--personalization`: Depth of personalization (low/medium/high).
+- `--channels`: Ordered list of channels to include.
+- `--intent-level`: cold|warm|hot (affects tone and CTA).
+- `--assets`: Optional resources (case studies, reports) to embed.
+
+## Workflow
+1. **Persona Calibration** – pull pain points, goals, language cues.
+2. **Narrative Arc** – map touches to curiosity → value → proof → urgency → ask.
+3. **Channel Assignment** – rotate channels per touch with rationale.
+4. **Copy Drafting** – craft subject lines, body copy, social scripts, call guides.
+5. **Instrumentation** – specify success metrics and A/B test ideas.
+
+## Output
+- Tabular sequence plan with send day, channel, message summary, CTA.
+- Full copy deck per touch (email body, LI message, call opener, voicemail script).
+- Personalization tokens (e.g., {recent_funding}, {tech_stack}).
+- Test backlog (subject line variants, CTA swaps, timing experiments).
+
+## Best Practices
+- Front-load personalization; escalate urgency over time.
+- Keep mobile-friendly line lengths and single CTA.
+- Align send windows with persona working hours and time zones.
+- Log replies and auto-stop sequences on positive intent.
+
+---
--- a/commands/generate-leads.md
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+---
+name: generate-leads
+description: Generate ICP-qualified leads with enrichment, intent signals, and export-ready outputs.
+usage: /sales-prospecting:generate-leads --criteria "B2B SaaS" --count 50 --enrich comprehensive
+---
+
+# Generate Leads Command
+
+Generate qualified leads based on ideal customer profile (ICP) criteria with enriched contact information and buying signals.
+
+## Command Syntax
+```bash
+/sales-prospecting:generate-leads --criteria <criteria> --count <number> --enrich <level>
+```
+
+## Parameters
+
+- `--criteria`: ICP definition (industry, size, tech stack, location, etc.)
+- `--count`: Number of leads to generate (default: 20)
+- `--enrich`: Enrichment level (basic|standard|comprehensive)
+- `--intent`: Include intent signals (true|false, default: true)
+- `--contacts`: Number of contacts per account (default: 3)
+- `--format`: Output format (csv|json|salesforce|hubspot)
+
+## Examples
+
+### Basic Lead Generation
+```bash
+/sales-prospecting:generate-leads --criteria "SaaS companies, 50-500 employees, using Salesforce"
+```
+
+### Comprehensive Account Research
+```bash
+/sales-prospecting:generate-leads \
+  --criteria "Financial services, >$100M revenue, Northeast US" \
+  --count 50 \
+  --enrich comprehensive \
+  --contacts 5
+```
+
+### Intent-Based Targeting
+```bash
+/sales-prospecting:generate-leads \
+  --criteria "Recently funded B2B companies" \
+  --intent true \
+  --enrich standard
+```
+
+## Process Flow
+
+1. **Define ICP Parameters**
+   - Parse criteria into searchable filters
+   - Validate parameter compatibility
+   - Set enrichment requirements
+
+2. **Initial Discovery**
+   - Query data sources for matching companies
+   - Apply filtering and scoring logic
+   - Rank by fit score
+
+3. **Contact Discovery**
+   - Identify decision makers and influencers
+   - Map buying committee structure
+   - Verify contact information
+
+4. **Data Enrichment**
+   - Append firmographic data
+   - Add technographic insights
+   - Include intent signals and triggers
+   - Calculate lead scores
+
+5. **Output Generation**
+   - Format according to specification
+   - Include research notes and insights
+   - Generate outreach recommendations
+
+## Output Schema
+
+### Standard Lead Record
+```json
+{
+  "company": {
+    "name": "Acme Corp",
+    "domain": "acme.com",
+    "industry": "Software",
+    "size": 250,
+    "revenue": "$50M",
+    "location": "San Francisco, CA",
+    "growth_rate": "45%"
+  },
+  "contacts": [
+    {
+      "name": "John Smith",
+      "title": "VP Sales",
+      "email": "john.smith@acme.com",
+      "linkedin": "linkedin.com/in/johnsmith",
+      "phone": "+1-415-555-0100",
+      "role": "Decision Maker"
+    }
+  ],
+  "technology": {
+    "crm": "Salesforce",
+    "marketing": "HubSpot",
+    "relevant_tools": ["Slack", "Zoom", "Google Workspace"]
+  },
+  "signals": {
+    "intent_score": 82,
+    "buying_signals": [
+      "Researching competitors",
+      "Downloaded pricing guides",
+      "Attending industry events"
+    ],
+    "trigger_events": [
+      "New VP Sales hired 2 months ago",
+      "Series B funding closed"
+    ]
+  },
+  "recommendations": {
+    "approach": "Reference their recent funding and expansion plans",
+    "value_prop": "Focus on scalability and integration with Salesforce",
+    "timing": "High - active buying cycle"
+  }
+}
+```
+
+## Enrichment Levels
+
+### Basic
+- Company name, website, industry
+- Basic size and location data
+- 1-2 contacts with titles
+- Lead score
+
+### Standard
+- All basic fields plus:
+- Revenue and growth data
+- 3-4 contacts with full details
+- Technology stack overview
+- Key buying signals
+
+### Comprehensive
+- All standard fields plus:
+- Full buying committee mapping
+- Detailed technographic profile
+- Intent data and signals
+- Competitive intelligence
+- Personalized outreach recommendations
+- Account research brief
+
+## Integration Options
+
+### CRM Export
+```bash
+# Direct to Salesforce
+/sales-prospecting:generate-leads --criteria "..." --format salesforce
+
+# HubSpot compatible
+/sales-prospecting:generate-leads --criteria "..." --format hubspot
+```
+
+### Sales Engagement
+```bash
+# Outreach.io format
+/sales-prospecting:generate-leads --criteria "..." --format outreach
+
+# SalesLoft format
+/sales-prospecting:generate-leads --criteria "..." --format salesloft
+```
+
+## Advanced Options
+
+### Exclusion Lists
+```bash
+--exclude-companies "competitor1.com,competitor2.com"
+--exclude-existing true  # Skip current CRM records
+```
+
+### Scoring Customization
+```bash
+--scoring-model "enterprise"  # Use enterprise scoring model
+--minimum-score 70  # Only include leads scoring 70+
+```
+
+### Geographic Targeting
+```bash
+--location "San Francisco Bay Area"
+--timezone "PST"
+--language "English"
+```
+
+## Best Practices
+
+1. **Start Narrow**: Begin with specific criteria and expand based on results
+2. **Validate ICP**: Test initial results against known good customers
+3. **Iterate Quickly**: Refine criteria based on response rates
+4. **Track Performance**: Monitor which criteria generate best leads
+5. **Regular Refresh**: Re-run monthly to catch new matches
+
+## Error Handling
+
+- **No matches found**: Broaden criteria or adjust filters
+- **Too many results**: Add more specific criteria
+- **Missing data**: Adjust enrichment level or data sources
+- **Rate limits**: Batch processing for large requests
+
+---
+
+*Execution model: claude-haiku-4-5 for data processing, claude-sonnet-4 for insights generation*
--- a/commands/qualify-lead.md
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+---
+name: qualify-lead
+description: Evaluate prospect fit and intent to determine next-best action for sales teams.
+usage: /sales-prospecting:qualify-lead --company "Acme" --persona "VP Revenue" --signals intent.json
+---
+
+# Qualify Lead Command
+
+Score leads against ICP, intent signals, and buying triggers to decide whether to route, recycle, or nurture.
+
+## Command Syntax
+```bash
+/sales-prospecting:qualify-lead \
+  --company "<name>" \
+  --persona "<title>" \
+  --firmographics firmo.json \
+  --technographics tech.json \
+  --signals intent.json \
+  --threshold 75
+```
+
+### Parameters
+- `--company`: Account name or domain.
+- `--persona`: Primary buyer role under evaluation.
+- `--firmographics`: JSON/CSV input of company attributes.
+- `--technographics`: Technology stack details.
+- `--signals`: Intent data (product usage, web visits, 3rd-party intent).
+- `--threshold`: Minimum composite score to pass to sales (default 70).
+- `--stage`: Lead stage (MQL, PQL, recycled) to influence scoring weights.
+
+## Workflow
+1. **Data Normalization** – clean and map firmographic, technographic, and behavior fields.
+2. **Fit Scoring** – apply weighted ICP model (industry, size, geography, use case, tech stack compatibility).
+3. **Intent Scoring** – incorporate behavioral data (content engagement, trials, intent providers, product telemetry).
+4. **Timing Assessment** – evaluate trigger events (funding, hires, tech churn) plus buying cycle alignment.
+5. **Recommendation Engine** – produce route/recycle/nurture guidance with rationale, next steps, and owner.
+
+## Output Schema
+```json
+{
+  "company": "Acme Corp",
+  "fit_score": 82,
+  "intent_score": 76,
+  "composite_score": 79,
+  "decision": "route-to-ae",
+  "urgency": "high",
+  "rationale": [
+    "ICP match: SaaS, 200 employees, US",
+    "High technographic overlap",
+    "Recent product trial and pricing page visits"
+  ],
+  "next_steps": [
+    "Assign to AE Sarah Lee",
+    "Send enterprise case study",
+    "Schedule discovery call within 48h"
+  ]
+}
+```
+
+## Best Practices
+- Keep scoring models transparent so SDRs/RevOps can adjust weights.
+- Blend qualitative notes (call transcripts) with quantitative data.
+- Auto-sync outcomes to CRM and track model drift monthly.
+- Use different thresholds for inbound vs outbound vs product-led leads.
+
+---