← Skills

pipeline-review

CRM pipeline cleanup — deal stages, stale leads, metrics review

Pipeline Review Skill

Purpose

Consolidated pipeline, metrics, and business review operations. Covers CRM review, daily metrics, invoice tracking, competitor monitoring, and skill incubation review.

Environment

  • Lead Engine path: C:/Users/Administrator/.openclaw/workspace/leadspanther-lead-engine (alias: $LE)
  • Knowledge base: C:/Users/Administrator/.openclaw/workspace/knowledge/

crm-review

Schedule: 6:00 PM weekdays | Agent: Rick

Run end-of-day pipeline review:

  1. Query Supabase DB for full pipeline metrics: npm --prefix $LE run query:pipeline -- --format json
  2. Review lead statuses: total leads, ready_for_outreach, ready_for_hubspot, synced_to_hubspot, emails collected, websites found
  3. Flag stale deals (no activity in 7+ days) for re-engagement or removal
  4. Calculate pipeline metrics: total leads, conversion rates, source breakdown, enrichment completion rates
  5. Identify top 3 highest-probability deals for tomorrow (highest rated, most reviews, email+website available)
  6. Report summary to Alfred via Telegram with key metrics

daily-metrics-update

Schedule: 5:00 PM weekdays | Agent: Friedrich

Compile daily metrics snapshot:

  1. Query lead pipeline: npm --prefix $LE run query:pipeline -- --format json
  2. Check Stripe for new payments or failed charges
  3. Check PayPal for transactions
  4. Calculate: leads added today, leads enriched, leads outreach-ready, revenue collected, outstanding invoices
  5. Update knowledge/areas/operational-costs.md if new service costs were incurred
  6. Post metrics summary to Telegram — include trend vs yesterday if available

invoice-tracking

Schedule: Monday 10:00 AM | Agent: Friedrich

Review all outstanding invoices and payment status:

  1. Check Stripe dashboard for pending payments, failed charges, upcoming renewals
  2. Review PayPal for pending transactions
  3. Cross-reference with HubSpot deals marked Closed Won — ensure all have corresponding invoices/payments
  4. Flag invoices overdue by 7+ days for Rick to follow up
  5. Calculate: total outstanding AR, total collected this week, total MRR
  6. Update financial tracking in workspace
  7. Report summary to Alfred via Telegram

competitor-monitoring

Schedule: Wednesday 2:00 PM | Agent: Rene

Scan for competitive activity in DFW AI automation and lead gen space:

  1. Search for new AI automation agencies or freelancers targeting DFW SMBs
  2. Check LinkedIn for relevant posts from competitors or similar agencies
  3. Review Upwork for competing profiles/agencies in lead gen automation
  4. Note pricing changes, new service offerings, or marketing strategies from known competitors
  5. Save findings to knowledge/resources/competitor-intel.md
  6. Report significant findings to Alfred via Telegram

skill-incubation-review

Schedule: Friday 4:00 PM | Agent: Devin

Run the skill incubation pipeline review:

  1. Read knowledge/areas/skill-tracker.md for current state
  2. Review all completed client deliverables from this week (check git log, daily notes, project files)
  3. For each deliverable: log in Completed Deliverables Log with date, client, deliverable name, category
  4. Update Automation Category Tally — increment count for each category delivered
  5. If any category count reaches 3+, flag as graduation candidate (stage=Candidate)
  6. For existing Incubating candidates: check if skill file exists and has been tested. If 3+ successful deployments, move to Graduated
  7. Add entry to Review Log with today's date, counts, and notes
  8. Report summary to Alfred via Telegram: new deliverables, categories updated, graduation candidates
  9. Commit changes to skill-tracker.md
View raw SKILL.md
# Pipeline Review Skill

## Purpose
Consolidated pipeline, metrics, and business review operations. Covers CRM review, daily metrics, invoice tracking, competitor monitoring, and skill incubation review.

## Environment
- Lead Engine path: `C:/Users/Administrator/.openclaw/workspace/leadspanther-lead-engine` (alias: `$LE`)
- Knowledge base: `C:/Users/Administrator/.openclaw/workspace/knowledge/`

## crm-review
**Schedule**: 6:00 PM weekdays | **Agent**: Rick

Run end-of-day pipeline review:
1. Query Supabase DB for full pipeline metrics: `npm --prefix $LE run query:pipeline -- --format json`
2. Review lead statuses: total leads, ready_for_outreach, ready_for_hubspot, synced_to_hubspot, emails collected, websites found
3. Flag stale deals (no activity in 7+ days) for re-engagement or removal
4. Calculate pipeline metrics: total leads, conversion rates, source breakdown, enrichment completion rates
5. Identify top 3 highest-probability deals for tomorrow (highest rated, most reviews, email+website available)
6. Report summary to Alfred via Telegram with key metrics

## daily-metrics-update
**Schedule**: 5:00 PM weekdays | **Agent**: Friedrich

Compile daily metrics snapshot:
1. Query lead pipeline: `npm --prefix $LE run query:pipeline -- --format json`
2. Check Stripe for new payments or failed charges
3. Check PayPal for transactions
4. Calculate: leads added today, leads enriched, leads outreach-ready, revenue collected, outstanding invoices
5. Update `knowledge/areas/operational-costs.md` if new service costs were incurred
6. Post metrics summary to Telegram — include trend vs yesterday if available

## invoice-tracking
**Schedule**: Monday 10:00 AM | **Agent**: Friedrich

Review all outstanding invoices and payment status:
1. Check Stripe dashboard for pending payments, failed charges, upcoming renewals
2. Review PayPal for pending transactions
3. Cross-reference with HubSpot deals marked Closed Won — ensure all have corresponding invoices/payments
4. Flag invoices overdue by 7+ days for Rick to follow up
5. Calculate: total outstanding AR, total collected this week, total MRR
6. Update financial tracking in workspace
7. Report summary to Alfred via Telegram

## competitor-monitoring
**Schedule**: Wednesday 2:00 PM | **Agent**: Rene

Scan for competitive activity in DFW AI automation and lead gen space:
1. Search for new AI automation agencies or freelancers targeting DFW SMBs
2. Check LinkedIn for relevant posts from competitors or similar agencies
3. Review Upwork for competing profiles/agencies in lead gen automation
4. Note pricing changes, new service offerings, or marketing strategies from known competitors
5. Save findings to `knowledge/resources/competitor-intel.md`
6. Report significant findings to Alfred via Telegram

## skill-incubation-review
**Schedule**: Friday 4:00 PM | **Agent**: Devin

Run the skill incubation pipeline review:
1. Read `knowledge/areas/skill-tracker.md` for current state
2. Review all completed client deliverables from this week (check git log, daily notes, project files)
3. For each deliverable: log in Completed Deliverables Log with date, client, deliverable name, category
4. Update Automation Category Tally — increment count for each category delivered
5. If any category count reaches 3+, flag as graduation candidate (stage=Candidate)
6. For existing Incubating candidates: check if skill file exists and has been tested. If 3+ successful deployments, move to Graduated
7. Add entry to Review Log with today's date, counts, and notes
8. Report summary to Alfred via Telegram: new deliverables, categories updated, graduation candidates
9. Commit changes to skill-tracker.md