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prospect-research-to-cadence前景研究到节奏

Agent Skill

prospect-research-to-cadence 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

470

周安装

19

GitHub Stars

12

下载量

147
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:prospect-research-to-cadence(前景研究到节奏)
来源仓库:https://github.com/scientiacapital/skills
仓库路径:skills/prospect-research-to-cadence
安装命令:
npx skills add https://github.com/scientiacapital/skills --skill prospect-research-to-cadence
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/scientiacapital/skills --skill prospect-research-to-cadence

简介

prospect-research-to-cadence 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于需要根据关键词或任务场景进行信息搜索与筛选的研究检索场景。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用。
  • 安装前建议确认权限范围、维护状态及是否涉及联网或文件操作。
  • 具体用法可参考原始 README 和 SKILL.md 文档进一步核验。

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:

ToolPurposeKey Data
apollo_organizations_enrichFirmographicsIndustry, size, revenue, tech stack
apollo_organizations_job_postingsHiring signalsAV/IT roles = buying signal
hubspot_search_companiesExisting relationship checkDeals, lifecycle stage
crm_search_customersEpiphan CRM customer matchDevice count, orders, channel flag
analytics_search_by_emailDevice registration lookupRegistered devices by contact email
Web searchRecent newsFunding, expansion, leadership changes

1a-bis. Clay Enrichment (Waterfall)

For companies/contacts where Apollo data is incomplete (missing phone, tech stack, or funding data):

ToolPurposeKey Data
find-and-enrich-contacts-at-company (Clay)Deep contact enrichmentPhone waterfall, social profiles, employment history
add-contact-data-points (Clay)Append missing data pointsPhone verification, org chart depth
find-and-enrich-company (Clay)Company intelligenceTechnographics, 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 HubSpot
  • first_conversion contains 'Pearl', 'setup', 'Connect', 'signup'
  • Company device_count >= 1 in Epiphan CRM
  • engagement_overview contains product usage
  • is_channel = true
  • hubspot_owner_id IN ('82625923', '423155215', '190030668') — AEs: Lex Evans, Ron Epstein, Phillip Sandler → 90-Day Stale Exception: If hs_lastmodifieddate > 90 days ago → SURFACE as STALE AE LEAD with 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:

VerticalScore
Higher Ed90
Courts/Legal85
Government80
Corporate AV80
Healthcare75
Houses of Worship70
K-1265

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:

  1. Create contacts in Apollo via apollo_contacts_create:

- first_name, last_name, email, organization_name, title

  1. Find target sequence via apollo_emailer_campaigns_search:

- Search by sequence name Tim specifies (or default active sequence)

  1. Add to sequence via apollo_emailer_campaigns_add_contact_ids:

- Pass contact IDs + sequence ID - Confirm enrollment count

  1. 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 framework
  • hubspot-revops-skill — Golden Rules filter logic, HubSpot query patterns
  • research-skill — Competitive intelligence, firmographic research patterns
  • CLAUDE.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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