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Lead Triage

AnthropicOfficialPublished by Anthropic

  • Skill
  • Workflow
  • Business and productivity
  • Apache-2.0
  • No issues found

From the author

Scores inbound HubSpot leads by engagement signals, company fit, and urgency markers, ranks the ones worth a call today with talking points, drafts the follow-ups, and proposes calendar times for the owner to book. Use when the owner asks to prioritize, score, or rank leads, asks "who should I call first," or asks about their pipeline. An ask that wants the ranked leads turned into a call list with time blocked on the calendar routes to /call-list, which runs this skill first and then books the time.
— the description by Anthropic

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

Lead Triage streamlines the sales process by analyzing inbound HubSpot leads to identify high-priority prospects. It evaluates leads across four dimensions—engagement, company fit, urgency, and recency—to produce a ranked call list. The skill provides actionable talking points for each lead, drafts personalized follow-up emails, and suggests optimal calendar slots for outreach. It operates with strict approval gates, ensuring the user retains full control over email sending and calendar scheduling. If HubSpot data is unavailable, the skill can process lead lists provided via CSV or text input.

What it does

  • Fetches and filters inbound leads from HubSpot based on lifecycle stage.
  • Scores leads using a multi-factor model including engagement, company fit, and urgency.
  • Generates a ranked call list with talking points and activity summaries.
  • Drafts personalized follow-up emails based on the owner's voice profile.
  • Proposes available calendar slots for outreach calls.
  • Renders a visual triage board as an artifact for easy review.

When to use it

  • When you need to prioritize your daily sales outreach.
  • When you are unsure which leads to contact first.
  • When you want to quickly generate talking points and follow-up drafts for prospects.
  • When you need to organize your pipeline into an actionable call list.

Advantages

  • Reduces manual effort in analyzing CRM data.
  • Provides objective ranking to help focus on the most promising leads.
  • Maintains user control with explicit approval required for all actions.
  • Adapts to both CRM-integrated and manual lead list workflows.

Usage examples

“Prioritize my leads.”
The agent pulls leads from HubSpot, scores them, and presents a ranked list with talking points and a visual artifact.
“Who should I call first?”
The agent identifies the highest-scoring leads based on engagement and urgency, providing a clear recommendation for your call list.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/anthropics/lead-triage/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip lead-triage.zip -d .agents/skills

Documentation by Anthropic

Lead Triage

Quick start

Pull inbound leads from HubSpot, score them, and surface a ranked call list with talking points. Drafts follow-ups and proposes calendar slots — never sends or books without owner approval.

User: "prioritize my leads"
→ Pull contacts: lifecycle stage Lead or MQL, status ≠ Unqualified
→ Score each across engagement, company fit, urgency, recency
→ Return ranked list (size adapts to volume) with talking points
→ Offer to draft follow-ups and propose calendar slots

Workflow

  1. Pull leads from HubSpot. Fetch contacts with lifecyclestage = Lead or MQL and hs_lead_status ≠ Unqualified. Use the field list in reference/hubspot-scoring.md. If HubSpot is unavailable — not installed, not connected, or erroring — do not stop. Say so plainly and run the "No HubSpot?" path at the bottom of this file: ask for a CSV export or a rough pasted list, and score that instead.

    • Empty portal check. If the pull returns zero contacts of any lifecycle stage, the portal is empty, not filtered wrong. Say so in one line, offer HubSpot's own setup (manage_onboarding, action SET_GOAL) or the "No HubSpot?" path, and do not diagnose lifecycle stages on a portal with nothing in it. The count is the test: get_user_details returns an onboarded flag, but a portal can report onboarded: false while holding hundreds of contacts, so the flag alone never decides this.

  2. Clarify if trigger is ambiguous. If the user said only "pipeline" without a qualifier, ask: "Quick pipeline overview (deal stages + total value) or prioritized call list?" — then route accordingly. Do not score leads on a bare "pipeline."

  3. Score each lead. Apply the four-dimension model in reference/hubspot-scoring.md:

    • Engagement — email replies, opens, site visits in HubSpot (last 30 days only)

    • Company fit — industry and employee count vs. owner's ICP (default: any industry, 1–50 employees). Read these from the company associated with the lead, not from the contact record — see the scoring reference. When leads have no associated company and a lead-data connector (Apollo or Clay) is connected, the enrichment leg in the scoring reference fills industry and size from the lead's email domain. It is metered — say how many rows it would enrich and what that costs in credits, and run it only on the owner's yes for this run. Nothing enriched is written back to the CRM from here.

    • Urgency — lead age, stage duration, notes containing "urgent / ASAP / deadline / budget approved". The keyword check requires actually fetching note bodies via the contact → notes association — follow the "Fetch note bodies" section of the scoring reference; the note count alone cannot fire it.

    • Recency penalty — subtract points if last activity was <24 hours ago (already touched today)

    Then check whether the scores actually separated. If the highest and lowest composite differ by less than 10 points, the CRM has no signal to rank on. Do not present the order as a ranking — run the flat-score path in the scoring reference, say plainly that the signals are empty, and order by CRM facts instead. A false ranking sends the owner to call the wrong person.

  4. Build the ranked list. Sort descending by composite score. Adapt list size to volume:

    • ≤10 leads → show all

    • 11–30 leads → show top 5

    • 30 leads → show top 8

    For each lead: name, company, score, one-paragraph talking point, last activity summary. If engagement signals are all >30 days old, flag: "Engagement signals are stale — approach as cold outreach."

  5. Offer follow-up drafts. Ask: "Draft follow-ups for any of these?" If yes, write one email per selected lead in the owner's voice per the shared voice profile. If that file has no profile yet, follow its "When there is no sample" instruction — ask for three emails the owner was happy with; if they decline, draft plain and neutral and say the drafts are un-voiced. Never invent a personality. Show drafts; do not send. If Mail is unavailable, hand the drafts over in chat as subject plus body for the owner to paste — that is a complete outcome.

  6. Render the triage board as an artifact. After the short chat answer — never instead of it — build an HTML page using the house artifact style (../../shared/artifact-style.md): a ranked table with each lead's composite score in mono, an urgency status pill per row (good / warn / critical), and a talking-points line under each lead. If the flat-score path fired, say so on the page and drop the pill colors to neutral.

  7. Offer calendar slots. Ask: "Propose call slots for any of these?" If yes, check Calendar for open 30-minute windows in the next two business days (avoid slots with existing events ±15 min). Propose two options per lead. Never create calendar events without explicit owner approval. If Calendar is unavailable, ask the owner for two or three windows they can offer and use those instead of inventing times.

Approval gates

  • Never send an email. Draft only; owner sends from their inbox.

  • Never create calendar events until approved by the user.

  • Never change lifecycle stage or mark a lead Unqualified unless the owner explicitly asks.

  • Never include Customer or Evangelist lifecycle contacts in the lead list.

  • If zero leads match the filter, explain why and offer to check what lifecycle stages are in use — do not fabricate a list.

Reference

Closing offer

End with one line on what the triage produced, then the most relevant next step with its trigger phrase — usually "call list" (/call-list) to add calendar blocks around the ranking. Up to two others when they fit: "write this outreach" (outreach-composer) or "update the CRM" (crm-autopilot). Never more than three, and never re-offer something the owner already declined this session.

No HubSpot?

Paste or upload the lead list — a CSV export or even a rough list works. Scoring and talking points run the same; the ranked call list comes back as chat plus a file instead of writing to the CRM.

Using a tool that isn't listed

The connectors named in this skill are the tested paths, not a wall. If the owner wants this flow to use a tool that isn't connected or listed, offer build-connector — it checks the connector directory first and connects through Zapier otherwise, never hand-building against a raw API. Once the connection exists, the tool joins this skill like any other optional connector, under the same approval gates.

Files

reference/hubspot-scoring.md

HubSpot Scoring — lead-triage

Field names, scoring weights, and ICP defaults.


Fields to pull

HubSpot fieldUsed for
firstname, lastnameDisplay
companyDisplay. Usually empty — prefer the associated company's name, below.
emailFollow-up draft recipient
lifecyclestageFilter (keep Lead, MQL)
hs_lead_statusFilter (exclude Unqualified) + tie-break
jobtitleAuthority tie-break
hs_buying_roleAuthority tie-break
num_associated_dealsTie-break — a lead with pipeline attached outranks one without
hs_is_unworkedTie-break — true means nobody has touched it yet
createdateUrgency — lead age
notes_last_updatedRecency penalty. HubSpot labels this "Last Activity Date". There is no hs_last_activity_date on the contact object — do not look for one.
num_notesPre-filter for the note-body fetch below — a count alone cannot fire the keyword signal
hs_sales_email_last_repliedEngagement — reply signal
hs_email_openEngagement — open count (use only if within 30 days)
hs_analytics_last_visit_timestampEngagement — site visit
num_contacted_notesEngagement — outreach volume
Company fit fields live on the COMPANY record, not the contact

industry and numemployees exist on the contact object but are almost never filled in. The populated copies live on the company associated with the contact. Pull those instead:

COMPANY fieldUsed for
nameDisplay — the real company name
industryCompany fit
numberofemployeesCompany fit — exact headcount
hs_employee_rangeCompany fit — fallback when numberofemployees is empty

Fetch the associated company for each lead, then read fit from there. Only fall back to the contact-level industry / numemployees if there is no associated company at all.

The enrichment leg: when there is no associated company

When every lead in a portal has no company association, company fit scores 5 across the board and the dimension contributes nothing. With a lead-data connector connected — Apollo or Clay, peers per ../../../shared/connector-neutrality.md — fill the gap from the lead's email domain instead of scoring it flat:

  1. Collect the leads with no associated company and a business email domain (skip gmail, outlook, yahoo, icloud and the like — nothing to enrich).

  2. Say the count and ask once. Enrichment is metered: each row spends credits. "32 leads have no company on file. Enriching them from their email domains costs roughly 32 credits in Clay. Go ahead?" Run only on a yes for this run; a no means the flat ladder below applies to those rows.

  3. Enrich by domain:

    • Clay: find-and-enrich-company per domain, reading industry and employee count from the returned company data points. Batch through find-and-enrich-list-of-contacts when the connector offers it for the whole set.

    • Apollo: apollo_organizations_enrich per domain, reading industry and estimated_num_employees.

  4. Score company fit from the enriched values using the same table as an associated company. Mark those rows "fit from enrichment" in the caveats.

  5. Never write the enriched fields back to the CRM from this skill. Offer it as a crm-autopilot hygiene run afterward, behind its write gate, if the owner wants the company records created.

Without a lead-data connector, or on a no, the flat-score ladder stands.

Fetch note bodies for the urgency scan

The urgency keywords live in note bodies, and note bodies are engagements — they never arrive with the contact property pull. num_notes only says a note exists; the +15 keyword signal cannot fire unless the bodies are actually read.

How to do it without flooding the API:

  1. Score every lead first without the note-keyword signal (provisional score).

  2. Fetch associated notes only for the top ~25 leads by provisional score — or for every lead with num_notes > 0 when fewer than 25 have notes.

  3. Pull via the contact → notes association and read the note body (hs_note_body). One page of notes per lead, most recent first, is enough.

  4. Scan the bodies for the urgency keywords and re-score with the +15 where a keyword hits. Say in the caveats when notes existed but were not fetched (beyond the cap) rather than claiming they contained nothing.


Scoring model (0–100 composite)

Four dimensions, each 0–25. Sum for composite.

Engagement (0–25)

Only count signals from the last 30 days. Older signals score 0.

SignalPoints
Email reply in last 14 days+15
Email open in last 7 days (no reply)+8
Site visit in last 7 days+5
>3 outreach attempts, no reply−5
Company fit (0–25)

Default ICP if owner hasn't stated one: any industry, 1–50 employees.

MatchPoints
Industry + size both match ICP25
Size matches, industry unknown15
Industry matches, size unknown12
Neither matches or both unknown5
Urgency (0–25)
SignalPoints
Note contains "urgent," "ASAP," "deadline," "budget approved" — requires the note-body fetch above; num_notes alone cannot fire this+15
Lead age 7–21 days (prime follow-up window)+10
Lead age <7 days+5
Lead age >60 days−5
Recency penalty (subtracted from composite)
Last activitySubtract
<24 hours ago−25
1–3 days ago−10
4–7 days ago−5
>7 days ago0

Custom ICP (runtime override)

If the owner states an ICP at runtime ("focus on SaaS, 10–100 employees"), apply it for that session only.


When the scores come out flat

A CRM with no logged engagement scores every lead the same: ten leads, ten identical composites of 0. Sorting identical scores produces arbitrary order, and presenting that as a priority list is worse than saying nothing.

Check for this before showing a ranked list. If the top and bottom composite differ by less than 10 points, the model has not separated anything. Say so plainly:

"These leads score almost identically — your CRM has no logged emails, calls, or site visits for them, so the engagement and fit signals are all empty. Here they are ordered by what the CRM does know."

Then order by this ladder instead of by composite, and label it as such:

  1. hs_lead_status — NEW before IN_PROGRESS before empty

  2. hs_is_unworked = true — nobody has touched it yet

  3. hs_buying_role — contains DECISION_MAKER, then CHAMPION, then the rest

  4. jobtitle — seniority words (VP, Director, Head, Chief, Owner, Manager)

  5. num_associated_deals ≥ 1 — pipeline already attached

  6. createdate — newest first

Never present ladder order as a score. Show it as "ordered by CRM signal" and drop the numeric score column entirely, so the owner is not reading precision that does not exist.

Requirements and compatibility

Written for: Claude Code, Claude apps

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Declares allowed tools

Security

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Attribution and licence

Published by
Anthropic
Publisher
Anthropic (Official)
Source
anthropics/knowledge-work-plugins · small-business/skills/lead-triage · commit e050c2e
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
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