Agent skill
prospect-research-to-cadence
End-to-end prospect research pipeline: Apollo enrichment → personalized email + call scripts → draft review → Apollo sequence load. Eliminates manual research bottleneck. Use when: 'research prospect', 'prospect [company]', 'build cadence for', 'outreach for [company]', 'research-to-cadence', 'enrich and sequence', 'new prospect batch'.
Install this agent skill to your Project
npx add-skill https://github.com/ScientiaCapital/skills/tree/main/active/prospect-research-to-cadence-skill
SKILL.md
<quick_start> Single prospect: "research prospect Baylor University" → enriches org + decision-makers → drafts personalized outreach → presents for approval → loads to Apollo sequence
Batch mode: "build cadence for these 5 companies: [list]" → runs pipeline for each → presents batch draft → loads approved contacts
Trigger phrases:
- "research prospect [company/domain]"
- "build cadence for [company]"
- "outreach for [company]"
- "research-to-cadence [company]"
- "enrich and sequence [list]"
- "new prospect batch" </quick_start>
<success_criteria>
- Company enriched with firmographics, tech stack, news, and Epiphan use case angle
- 3-5 ATL decision-maker contacts identified per approved title patterns (VP/Director/Dean/Chief/Provost = economic buyers; Managers flagged as GRAY for manual review)
- Personalized 3-touch email sequence drafted per contact
- Call script with MEDDIC discovery hooks generated
- Draft presented for Tim's approval BEFORE any sequence loading
- On approval: contacts created in Apollo + added to specified sequence
- Golden Rules exclusions enforced (no customers, no channel, no product-usage contacts) </success_criteria>
Pipeline Stages
INPUT RESEARCH DRAFT APPROVE LOAD
─────────────────────────────────────────────────────────────────────────────────────────────────────
Company/Domain → Apollo Org Enrich → Email Sequences → Tim Reviews → Apollo Sequence
→ Apollo People Search → Call Scripts → Approves/Edits → Contact Create
→ Epiphan CRM Check → ICP Score → → Add to Cadence
→ Web Research → Pain Hypothesis → →
Stage 1: Research (Tools Used)
1a. Company Intelligence
Use these MCP tools in parallel:
| Tool | Purpose | Key Data |
|---|---|---|
apollo_organizations_enrich |
Firmographics | Industry, size, revenue, tech stack |
apollo_organizations_job_postings |
Hiring signals | AV/IT roles = buying signal |
hubspot_search_companies |
Existing relationship check | Deals, lifecycle stage |
crm_search_customers |
Epiphan CRM customer match | Device count, orders, channel flag |
analytics_search_by_email |
Device registration lookup | Registered devices by contact email |
| Web search | Recent news | Funding, expansion, leadership changes |
1a-bis. Clay Enrichment (Waterfall)
For companies/contacts where Apollo data is incomplete (missing phone, tech stack, or funding data):
| Tool | Purpose | Key Data |
|---|---|---|
find-and-enrich-contacts-at-company (Clay) |
Deep contact enrichment | Phone waterfall, social profiles, employment history |
add-contact-data-points (Clay) |
Append missing data points | Phone verification, org chart depth |
find-and-enrich-company (Clay) |
Company intelligence | Technographics, hiring signals, funding |
Clay acts as a waterfall fallback — it aggregates 50+ data providers. Use it when Apollo returns incomplete results, especially for phone numbers.
1b. Golden Rules Filter
STOP and skip if ANY of these are true:
lifecyclestage = 'customer'in HubSpotfirst_conversioncontains 'Pearl', 'setup', 'Connect', 'signup'- Company
device_count >= 1in Epiphan CRM engagement_overviewcontains product usageis_channel = truehubspot_owner_idIN ('82625923', '423155215', '190030668') — AEs: Lex Evans, Ron Epstein, Phillip Sandler → 90-Day Stale Exception: Ifhs_lastmodifieddate> 90 days ago → SURFACE asSTALE AE LEADwith ATL/BTL tier + deal value. Tim reviews to re-engage, push to demo, or help close. → Ron Epstein: all leads. Lex & Phil: NA only. <90 days → still exclude.
OPERATING PRINCIPLE: Tim is NET-NEW first, but can re-engage STALE AE leads (90+ days inactive) to recover pipeline value.
1c. Contact Discovery
Use apollo_mixed_people_api_search with filters:
- Titles (ATL-only): VP, Director, Dean, CIO, CTO, CFO, Provost, Superintendent, Court Administrator, City Manager, Senior Pastor
- Gray Zone Titles (flag for review): Manager (AV/Facilities/IT) — include ONLY if Apollo confirms reports to Director+ AND has delegated budget >$25K
- Exclude (NEVER ATL): Warehouse Manager, Network Manager, Systems Administrator, AV Technician, Graphic Design Instructor, Program Administrator, Web Designer, Classroom Support, Lab Coordinator, Maintenance, Building Engineer, Multimedia Services Manager, Video Production Specialist, Streaming Crew
- Seniority: director, vp, c_suite
- Departments: IT, engineering, operations, education
- Limit: 3-5 contacts per company
For each contact, run apollo_people_match to get verified email + phone.
ATL/BTL Classification (applied to each discovered contact)
Classify each contact using approved title patterns (CLAUDE.md § ATL/BTL Classification v1.0):
- ATL: Chief, VP, Director, Dean, Provost, Superintendent, Court Administrator, City Manager, Senior Pastor, Executive Pastor
- BTL: Technician, Specialist, Coordinator, Support, Administrator (Systems/Network/Database), Engineer (AV/Network/Systems), Operator, Instructor/Professor/Faculty, Designer, Assistant, Clerk (non-Court Admin), Volunteer, Intern, Student, Resident, Help Desk
- NEVER ATL: Warehouse Manager, Network Manager, Systems Administrator, AV Technician, Graphic Design Instructor, Program Administrator, Web Designer, Classroom Support, Lab Coordinator, Maintenance, Building Engineer, Multimedia Services Manager, Video Production Specialist, Streaming Crew
- GRAY: Manager (AV/Facilities/IT) — ATL only if reports to Director+ AND has delegated budget >$25K. Flag for Tim's manual review before sequence load
Tag each contact: atl_btl_tier = 'ATL' | 'BTL' | 'GRAY'
Only ATL contacts are auto-approved for sequence loading. GRAY contacts require Tim's explicit approval. BTL contacts are deprioritized (included in batch but called last).
For contacts where apollo_people_match returns no phone number, fall back to Clay's find-and-enrich-contacts-at-company for phone waterfall.
Phone Verification Priority
ALWAYS attempt phone verification. Tim needs 50+ daily dials. Every contact loaded into a sequence MUST have a verified phone number. Priority order: Apollo phone → Clay waterfall → skip if no phone found (flag for manual research).
1d. ICP Scoring
Score the prospect using Tim's ICP verticals:
| Vertical | Score |
|---|---|
| Higher Ed | 90 |
| Courts/Legal | 85 |
| Government | 80 |
| Corporate AV | 80 |
| Healthcare | 75 |
| Houses of Worship | 70 |
| K-12 | 65 |
Boost +5 for: hiring AV roles, recent facility expansion, CMS mentioned in tech stack Boost +10 for: Extron/Matrox replacement signal (competitors exited market)
Stage 2: Draft Outreach
Email Sequence (3-touch)
Load reference/email-templates.md for templates. Customize with:
- Touch 1 (Day 0): Pain-forward, reference specific news/signal, single CTA (15-min call)
- Touch 2 (Day 3): Value prop with peer social proof (similar vertical), ask different question
- Touch 3 (Day 7): Breakup email with resource offer (case study or guide)
Rules:
- Under 100 words per email
- No "I hope this finds you well"
- Lead with THEIR problem, not Epiphan features
- Reference a specific trigger (job posting, news, tech stack gap)
- CTA = specific time ask ("15 minutes this Thursday?")
Call Script
Generate MEDDIC-structured call script:
OPENER (15 sec): Reference email + trigger signal
PAIN PROBE (60 sec): "What's your current setup for [use case]?"
METRICS: "How are you measuring [quality/uptime/cost]?"
ECONOMIC BUYER: "Who else would need to sign off?"
DECISION CRITERIA: "What would you evaluate?"
CHAMPION TEST: "If this made sense, would you be open to a quick demo?"
Deliverable Format
Present draft as structured output:
═══════════════════════════════════════════
PROSPECT RESEARCH: [Company Name]
ICP Score: [XX/100] | Vertical: [vertical]
═══════════════════════════════════════════
COMPANY INTEL:
- Industry: [...]
- Size: [...] employees | Revenue: [...]
- Tech stack: [...]
- Trigger signal: [...]
- Epiphan angle: [...]
CONTACTS (ready for sequence):
┌──────────────────────────────────────────┐
│ 1. [Name] — [Title] [ATL/GRAY/BTL] │
│ Email: [...] | Phone: [...] │
│ LinkedIn: [...] │
│ Personalization hook: [...] │
└──────────────────────────────────────────┘
EMAIL SEQUENCE:
Touch 1: [subject] → [body]
Touch 2: [subject] → [body]
Touch 3: [subject] → [body]
CALL SCRIPT:
[MEDDIC-structured script]
═══════════════════════════════════════════
APPROVE? (y/edit/skip)
═══════════════════════════════════════════
Stage 3: Approve
- Present draft to Tim using AskUserQuestion tool
- Options: "Approve & Load", "Edit first", "Skip this prospect"
- If edit: Tim provides changes, re-draft, re-present
Stage 4: Load to Apollo Sequence
On approval:
-
Create contacts in Apollo via
apollo_contacts_create:- first_name, last_name, email, organization_name, title
-
Find target sequence via
apollo_emailer_campaigns_search:- Search by sequence name Tim specifies (or default active sequence)
-
Add to sequence via
apollo_emailer_campaigns_add_contact_ids:- Pass contact IDs + sequence ID
- Confirm enrollment count
-
Optional: Create Gmail draft via
gmail_create_draft:- For high-ICP prospects (score 80+), also create a direct Gmail draft
Sibling Skills Referenced
sales-revenue-skill— Email templates, lead scoring tiers, MEDDIC frameworkhubspot-revops-skill— Golden Rules filter logic, HubSpot query patternsresearch-skill— Competitive intelligence, firmographic research patternsCLAUDE.md § ATL/BTL Classification v1.0— Approved title keyword patterns for ATL/BTL/Gray classification (2026-03-17)
Emit Outcome Sidecar
As the final step, write to ~/.claude/skill-analytics/last-outcome-prospect-research-to-cadence.json:
{"ts":"[UTC ISO8601]","skill":"prospect-research-to-cadence","version":"1.0.0","variant":"default",
"status":"[success|partial|error]","runtime_ms":[estimated ms from start],
"metrics":{"prospects_researched":[n],"emails_drafted":[n],"sequences_loaded":[n],"atl_count":[n],"icp_avg_score":[n]},
"error":null,"session_id":"[YYYY-MM-DD]"}
Use status "partial" if some stages failed but results were produced. Use "error" only if no output was generated.
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