MCP HubMCP Hub
SKILL·A2CDD9

waterfall-enrich-contacts

TomGranot
업데이트됨 3 days ago
51
14
51
GitHub에서 보기
메타ai

정보

이 스킬은 외부 데이터 제공업체에서 누락된 이메일, 전화번호, 직함을 가져와 HubSpot 연락처 레코드를 보강한 후 안전하게 다시 기록합니다. 주요 기능은 플러그형 어댑터 시스템으로, 기본값은 FullEnrich 워터폴 집계기이며 Apollo, Hunter, Dropcontact용 어댑터와 사용자 정의 제공업체를 위한 템플릿을 포함합니다. HubSpot 워크플로우 내에서 연락처 데이터 완성을 자동화하는 데 활용하세요.

빠른 설치

Claude Code

추천
기본
npx skills add TomGranot/hubspot-admin-skills -a claude-code
플러그인 명령대체
/plugin add https://github.com/TomGranot/hubspot-admin-skills
Git 클론대체
git clone https://github.com/TomGranot/hubspot-admin-skills.git ~/.claude/skills/waterfall-enrich-contacts

Claude Code에서 이 명령을 복사하여 붙여넣어 스킬을 설치하세요

문서

Waterfall-Enrich Contacts with External Providers

Fill missing emails, phone numbers, and job titles on HubSpot contacts using an external enrichment provider, then write results back with a full audit trail. The provider layer is pluggable: FullEnrich (a waterfall aggregator that queries 20+ upstream sources until one hits) is the default, with Apollo, Hunter, and Dropcontact adapters included and a template for whatever provider your team already pays for.

Why This Matters

The internal enrichment skills (/enrich-company-name, /enrich-industry, /backfill-geo-data) only move data the portal already has. When a contact's email, direct dial, or title simply isn't anywhere in HubSpot, external enrichment is the only fix — and it costs real money per lookup, which is why this skill is built around cost caps, previews, and typed confirmations.

Provider Landscape

ProviderAdapterStrengthModel
FullEnrich (default)providers/fullenrich.pyWaterfall across 20+ sources — best hit rates for email + mobileCredits per lookup, async bulk API
Apolloproviders/apollo.pyLarge B2B database, titles + firmographicsCredits; personal-data reveals plan-gated
Hunterproviders/hunter.pyEmail finding by name+domain, confidence scoresRequests per plan; email only
Dropcontactproviders/dropcontact.pyGDPR-first, algorithmic (no stored database)Credits, async
Your providercopy providers/_template.pyWhatever you already use
Mock (testing only)providers/mock.pyDeterministic fake data for /sandbox-self-test and dry runs — no networkFree; never use on production
HubSpot Breeze Intelligence(native, no adapter)In-platform enrichment + form shorteningCredit add-on; programmatic API access is enterprise-gated — which is exactly why this skill defaults to provider-agnostic adapters

Switch providers with one env var: ENRICHMENT_PROVIDER=apollo.

Prerequisites

  • A HubSpot private app access token (HUBSPOT_ACCESS_TOKEN in .env) with contact read/write scopes
  • Python 3.10+ with uv
  • An account + API key with your chosen provider (e.g. FULLENRICH_API_KEY from FullEnrich dashboard > Settings > API)
  • A compliance check: enrichment sends contact names and company data to a third party and imports personal data (emails, phones). Confirm this fits your data processing agreements and the applicable privacy rules (GDPR/CCPA) before running.

Scripts

StageScriptRun with
Beforescripts/before.pyuv run skills/waterfall-enrich-contacts/scripts/before.py
Executescripts/execute.pyuv run skills/waterfall-enrich-contacts/scripts/execute.py
Afterscripts/after.pyuv run skills/waterfall-enrich-contacts/scripts/after.py

Provider adapters live in scripts/providers/ — one module per provider implementing enrich(contacts) -> results (see _template.py for the contract).

Configuration

Everything is set in .env:

HUBSPOT_ACCESS_TOKEN=pat-na1-xxxxxxxx
ENRICHMENT_PROVIDER=fullenrich          # fullenrich | apollo | hunter | dropcontact | mock | yours
FULLENRICH_API_KEY=...                  # the chosen provider's key
ENRICHMENT_TARGET_FIELD=phone           # phone | email | jobtitle
ENRICHMENT_MAX_CONTACTS=100             # hard cap per run — credits cost money
ENRICHMENT_OVERWRITE=false              # never overwrite existing values (default)
ENRICHMENT_CREDITS_PER_CONTACT=1        # for before.py's cost preview

Execution Pattern

Stage 1: Plan

  1. Choose the provider and the target field (a phone backfill and an email backfill are separate runs).
  2. Confirm the compliance check above with whoever owns data privacy.
  3. Confirm budget: MAX_CONTACTS × credits-per-lookup is the per-run ceiling. Start with a small run (25-50) and inspect quality before scaling.

Stage 2: Before

uv run skills/waterfall-enrich-contacts/scripts/before.py

Counts candidates (contacts with first name + last name + company but missing the target field) and prints a cost ceiling. Read-only.

Stage 3: Execute

uv run skills/waterfall-enrich-contacts/scripts/execute.py

The script:

  1. Selects up to MAX_CONTACTS candidates via the Search API
  2. Asks for typed confirmation (ENRICH) before spending credits
  3. Calls the provider adapter (async providers poll until done)
  4. Computes writes — existing non-empty HubSpot values are never overwritten unless ENRICHMENT_OVERWRITE=true; skipped values are still recorded in the audit CSV
  5. Asks for a second typed confirmation (WRITE) before touching HubSpot
  6. Batch-updates contacts and writes the audit CSV (old value, new value, action, source per field)

Stage 4: After

uv run skills/waterfall-enrich-contacts/scripts/after.py

Compares candidate counts against the baseline, then spot-check 10-20 enriched contacts by hand — provider quality varies by segment, and the audit CSV tells you exactly what was written where.

Safety Mechanisms

MechanismDetail
Per-run capMAX_CONTACTS (default 100) bounds credit spend per run. Deliberately low — raise it only after verifying quality.
No-overwrite defaultExisting non-empty values are never replaced unless ENRICHMENT_OVERWRITE=true. Enrichment fills gaps; it does not correct data.
Double confirmationTyped ENRICH before credits are spent; typed WRITE before HubSpot is touched. Aborting between the two costs credits but changes nothing.
CSV audit trailEvery field written (and every skip) recorded with old value, new value, and provider source.
Rollback dataThe audit CSV's old column is the rollback: batch-update those values back to undo a run.

Rollback

  • The execute audit CSV records the previous value of every field it wrote. To undo, batch-update those contact/field pairs back to the old values (empty string clears a field).
  • Values are also individually recoverable from each contact's property history.

Technical Gotchas

  1. Verify adapter payloads against current provider docs. Provider APIs move fast; each adapter's docstring links the docs and flags what to check. The adapters fail loudly (clear SystemExit messages) on auth or credit errors before touching HubSpot.
  2. Waterfall providers are asynchronous. FullEnrich and Dropcontact return results in seconds-to-minutes; the adapters poll. Don't kill the script mid-poll — credits are consumed at submission.
  3. Enriched emails are unverified senders' risk. A found email is not consent to market. New emails enter as non-marketing data points; your normal opt-in and deliverability rules apply before any sends.
  4. Match rates of 40-70% are normal. Providers can't find everyone. The audit CSV separates "provider found nothing" (absent) from "found but skipped" (existing value).
  5. Domain quality drives hit rates. Candidates whose email domain or company website is missing enrich poorly. Run /enrich-company-name first — better identity inputs, better waterfall results.
  6. Internal-data-first. If the value exists anywhere in the portal (associated company, ip_country, form submissions), the free internal skills should fill it — save credits for data HubSpot genuinely doesn't have.

GitHub 저장소

TomGranot/hubspot-admin-skills
경로: skills/waterfall-enrich-contacts
0
hubspothubspot-apihubspot-crmhubspot-integration
FAQ

Frequently asked questions

What is the waterfall-enrich-contacts skill?

waterfall-enrich-contacts is a Claude Skill by TomGranot. Skills package instructions and resources that Claude loads on demand, so Claude can perform waterfall-enrich-contacts-related tasks without extra prompting.

How do I install waterfall-enrich-contacts?

Use the install commands on this page: add waterfall-enrich-contacts to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.

What category does waterfall-enrich-contacts belong to?

waterfall-enrich-contacts is in the Meta category, tagged ai.

Is waterfall-enrich-contacts free to use?

Yes. waterfall-enrich-contacts is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.

연관 스킬

content-collections
메타

이 스킬은 콘텐츠 콜렉션(Content Collections)을 위한 프로덕션 검증된 설정을 제공합니다. 콘텐츠 콜렉션은 Markdown/MDX 파일을 Zod 검증이 포함된 타입 안전한 데이터 콜렉션으로 변환해주는 TypeScript 최우선 도구입니다. 블로그, 문서 사이트 또는 콘텐츠 중심의 Vite + React 애플리케이션을 구축할 때 타입 안전성과 자동 콘텐츠 검증을 보장하기 위해 사용하세요. Vite 플러그인 구성과 MDX 컴파일부터 배포 최적화 및 스키마 검증에 이르기까지 모든 것을 다룹니다.

스킬 보기
polymarket
메타

이 스킬은 개발자들이 Polymarket 예측 시장 플랫폼을 활용한 애플리케이션을 구축할 수 있도록 지원하며, 거래 및 시장 데이터를 위한 API 통합 기능을 포함합니다. 또한 WebSocket을 통한 실시간 데이터 스트리밍을 제공하여 실시간 거래와 시장 활동을 모니터링할 수 있습니다. 이를 통해 거래 전략을 구현하거나 실시간 시장 업데이트를 처리하는 도구를 생성하는 데 활용할 수 있습니다.

스킬 보기
creating-opencode-plugins
메타

이 스킬은 개발자들이 명령어, 파일, LSP 작업 등 25개 이상의 이벤트 유형에 연결되는 OpenCode 플러그인을 만들 수 있도록 돕습니다. JavaScript/TypeScript 모듈을 위한 플러그인 구조, 이벤트 API 명세, 구현 패턴을 제공합니다. OpenCode AI 어시스턴트의 라이프사이클을 사용자 정의 이벤트 기반 로직으로 가로채거나, 모니터링하거나, 확장해야 할 때 사용하세요.

스킬 보기
sglang
메타

SGLang은 RadixAttention 프리픽스 캐싱을 활용하여 JSON, 정규식, 에이전트 워크플로우를 위한 고속 구조화 생성에 특화된 고성능 LLM 서빙 프레임워크입니다. 특히 반복되는 프리픽스가 있는 작업에서 상당히 빠른 추론 속도를 제공하여 복잡한 구조화 출력 및 다중 턴 대화에 이상적입니다. 제약 디코딩이 필요하거나 광범위한 프리픽스 공유가 있는 애플리케이션을 구축할 때는 vLLM과 같은 대안보다 SGLang을 선택하십시오.

스킬 보기