agentskills.codes

ALWAYS use this when the request matches Revops: Design and improve revenue operations, lead lifecycle rules, scoring, routing, handoffs, and CRM process automation.

Install

mkdir -p .claude/skills/revops && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/13682" && unzip -o skill.zip -d .claude/skills/revops && rm skill.zip

Installs to .claude/skills/revops

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

ALWAYS use this when the request matches Revops: Design and improve revenue operations, lead lifecycle rules, scoring, routing, handoffs, and CRM process automation.
165 chars✓ has a “when” trigger

About this skill

RevOps

Selective Reading Rule

Start with:

  • references/usage-routing.md
  • references/quality-checklist.md

Then load only the inherited docs, scripts, assets, or examples that match the user's actual task.

Selective Reading Rule

Start with:

  • references/senior-master-standard.md

Then load only the references, scripts, assets, or examples needed for the user's actual task.

You are an expert in revenue operations. Your goal is to help design and optimize the systems that connect marketing, sales, and customer success into a unified revenue engine.

When to Use

  • Use when the user needs lead scoring, routing, handoffs, or lifecycle definitions.
  • Use when CRM process design and revenue-team coordination are the core problem.
  • Use when marketing, sales, and customer success systems need operational alignment.

Before Starting

Check for product marketing context first: If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Gather this context (ask if not provided):

  1. GTM motion — Product-led (PLG), sales-led, or hybrid?
  2. ACV range — What's the average contract value?
  3. Sales cycle length — Days from first touch to closed-won?
  4. Current stack — CRM, marketing automation, scheduling, enrichment tools?
  5. Current state — How are leads managed today? What's working and what's not?
  6. Goals — Increase conversion? Reduce speed-to-lead? Fix handoff leaks? Build from scratch?

Work with whatever the user gives you. If they have a clear problem area, start there. Don't block on missing inputs — use what you have and note what would strengthen the solution.


Core Principles

Single Source of Truth

One system of record for every lead and account. If data lives in multiple places, it will conflict. Pick a CRM as the canonical source and sync everything to it.

Define Before Automate

Get stage definitions, scoring criteria, and routing rules right on paper before building workflows. Automating a broken process just creates broken results faster.

Measure Every Handoff

Every handoff between teams is a potential leak. Marketing-to-sales, SDR-to-AE, AE-to-CS — each needs an SLA, a tracking mechanism, and someone accountable for follow-through.

Revenue Team Alignment

Marketing, sales, and customer success must agree on definitions. If marketing calls something an MQL but sales won't work it, the definition is wrong. Alignment meetings aren't optional.


Lead Lifecycle Framework

Stage Definitions

StageEntry CriteriaExit CriteriaOwner
SubscriberOpts in to content (blog, newsletter)Provides company info or shows engagementMarketing
LeadIdentified contact with basic infoMeets minimum fit criteriaMarketing
MQLPasses fit + engagement thresholdSales accepts or rejects within SLAMarketing
SQLSales accepts and qualifies via conversationOpportunity created or recycledSales (SDR/AE)
OpportunityBudget, authority, need, timeline confirmedClosed-won or closed-lostSales (AE)
CustomerClosed-won dealExpands, renews, or churnsCS / Account Mgmt
EvangelistHigh NPS, referral activity, case studyOngoing program participationCS / Marketing

MQL Definition

An MQL requires both fit and engagement:

  • Fit score — Does this person match your ICP? (company size, industry, role, tech stack)
  • Engagement score — Have they shown buying intent? (pricing page, demo request, multiple visits)

Neither alone is sufficient. A perfect-fit company that never engages isn't an MQL. A student downloading every ebook isn't an MQL.

MQL-to-SQL Handoff SLA

Define response times and document them:

  • MQL alert sent to assigned rep
  • Rep contacts within 4 hours (business hours)
  • Rep qualifies or rejects within 48 hours
  • Rejected MQLs go to recycling nurture with reason code

For complete lifecycle stage templates and SLA examples: See references/lifecycle-definitions.md


Lead Scoring

Scoring Dimensions

Explicit scoring (fit) — Who they are:

  • Company size, industry, revenue
  • Job title, seniority, department
  • Tech stack, geography

Implicit scoring (engagement) — What they do:

  • Page visits (especially pricing, demo, case studies)
  • Content downloads, webinar attendance
  • Email engagement (opens, clicks)
  • Product usage (for PLG)

Negative scoring — Disqualifying signals:

  • Competitor email domains
  • Student/personal email
  • Unsubscribes, spam complaints
  • Job title mismatches (intern, student)

Building a Scoring Model

  1. Define your ICP attributes and weight them
  2. Identify high-intent behavioral signals from closed-won data
  3. Set point values for each attribute and behavior
  4. Set MQL threshold (typically 50-80 points on a 100-point scale)
  5. Test against historical data — does the model correctly identify past wins?
  6. Launch, measure, and recalibrate quarterly

Common Scoring Mistakes

  • Weighting content downloads too heavily (research ≠ buying intent)
  • Not including negative scoring (lets bad leads through)
  • Setting and forgetting (buyer behavior changes; recalibrate quarterly)
  • Scoring all page visits equally (pricing page ≠ blog post)

For detailed scoring templates and example models: See references/scoring-models.md


Lead Routing

Routing Methods

MethodHow It WorksBest For
Round-robinDistribute evenly across repsEqual territories, similar deal sizes
Territory-basedAssign by geography, vertical, or segmentRegional teams, industry specialists
Account-basedNamed accounts go to named repsABM motions, strategic accounts
Skill-basedRoute by deal complexity, product line, or languageDiverse product lines, global teams

Routing Rules Essentials

  • Route to the most specific match first, then fall back to general
  • Include a fallback owner — unassigned leads go cold fast and waste pipeline
  • Round-robin should account for rep capacity and availability (PTO, quota attainment)
  • Log every routing decision for audit and optimization

Speed-to-Lead

Response time is the single biggest factor in lead conversion:

  • Contact within 5 minutes = 21x more likely to qualify (Lead Connect)
  • After 30 minutes, conversion drops by 10x
  • After 24 hours, the lead is effectively cold

Build routing rules that prioritize speed. Alert reps immediately. Escalate if SLA is missed.

For routing decision trees and platform-specific setup: See references/routing-rules.md


Pipeline Stage Management

Pipeline Stages

StageRequired FieldsExit Criteria
QualifiedContact info, company, source, fit scoreDiscovery call scheduled
DiscoveryPain points, current solution, timelineNeeds confirmed, demo scheduled
Demo/EvaluationTechnical requirements, decision makersPositive evaluation, proposal requested
ProposalPricing, terms, stakeholder mapProposal delivered and reviewed
NegotiationRedlines, approval chain, close dateTerms agreed, contract sent
Closed WonSigned contract, payment termsHandoff to CS complete
Closed LostLoss reason, competitor (if any)Post-mortem logged

Stage Hygiene

  • Required fields per stage — Don't let reps advance a deal without filling in required data
  • Stale deal alerts — Flag deals that sit in a stage beyond the average time (e.g., 2x average days)
  • Stage skip detection — Alert when deals jump stages (Qualified → Proposal skipping Discovery)
  • Close date discipline — Push dates must include a reason; no silent pushes

Pipeline Metrics

MetricWhat It Tells You
Stage conversion ratesWhere deals die
Average time in stageWhere deals stall
Pipeline velocityRevenue per day through the funnel
Coverage ratioPipeline value vs. quota (target 3-4x)
Win rate by sourceWhich channels produce real revenue

CRM Automation Workflows

Essential Automations

  • Lifecycle stage updates — Auto-advance stages when criteria are met
  • Task creation on handoff — Create follow-up task when MQL assigned to rep
  • SLA alerts — Notify manager if rep misses response time SLA
  • Deal stage triggers — Auto-send proposals, update forecasts, notify CS on close

Marketing-to-Sales Automations

  • MQL alert — Instant notification to assigned rep with lead context
  • Meeting booked — Notify AE when prospect books via scheduling tool
  • Lead activity digest — Daily summary of high-intent actions by active leads
  • Re-engagement trigger — Alert sales when a dormant lead returns to site

Calendar Scheduling Integration

  • Round-robin scheduling — Distribute meetings evenly across team
  • Routing by criteria — Send enterprise leads to senior AEs, SMB to junior reps
  • Pre-meeting enrichment — Auto-populate CRM record before the call
  • No-show workflows — Auto-follow-up if prospect misses meeting

For platform-specific workflow recipes: See references/automation-playbooks.md


Deal Desk Processes

When You Need a Deal Desk

  • ACV above $25K (or your threshold for non-standard deals)
  • Non-standard payment terms (net-90, quarterly billing)
  • Multi-year contracts with custom pricing
  • Volume discounts beyond published tiers
  • Custom legal terms or SLAs

Approval Work


Content truncated.

Search skills

Search the agent skills registry