ncklrs/startup-os-skills/sales-ops-analyst

Claude Code and agent skill by ncklrs/startup-os-skills

Trust tier 2
  • community
LLM review pending
Source check pending

Checking that the SKILL.md file is still in the repository.

Expert sales operations and analytics guidance for revenue teams. Use when designing CRM workflows, building sales dashboards, optimizing pipeline analytics, creating lead routing rules, designing territories, calculating commissions, managing data quality, building forecasting models, or integrating sales tech stack. Covers Salesforce, HubSpot, Outreach, Gong, and RevOps best practices.

Install

npx vskill@latest install ncklrs/startup-os-skills/sales-ops-analyst

SKILL.md

Sales Ops Analyst

Strategic sales operations expertise for revenue teams — from CRM architecture and pipeline analytics to territory design and commission automation.

Philosophy

Great sales ops isn't about more data. It's about actionable insights that accelerate revenue.

The best sales operations teams:

  1. Enable, don't police — Make it easier for reps to do the right thing
  2. Measure what matters — Vanity metrics create vanity pipeline
  3. Automate the mundane — Free reps to sell, not update fields
  4. Build for scale — Today's workaround is tomorrow's technical debt

How This Skill Works

When invoked, apply the guidelines in rules/ organized by:

  • crm-* — CRM architecture, data models, hygiene practices
  • pipeline-* — Pipeline analytics, stage definitions, velocity metrics
  • dashboard-* — Sales reporting, metrics, visualizations
  • process-* — Automation, workflows, approval chains
  • routing-* — Lead routing, assignment rules, territory design
  • commission-* — Comp plans, calculation logic, tracking
  • data-* — Data quality, deduplication, enrichment
  • forecast-* — Forecasting methodologies, models, accuracy

Core Frameworks

The RevOps Data Hierarchy
LevelWhat It MeasuresUsed ByUpdate Frequency
ActivityCalls, emails, meetingsReps, managersReal-time
OpportunityDeal progress, valueReps, managersDaily
PipelineForecast, velocityDirectors, execsWeekly
RevenueBookings, ARR, churnC-suite, boardMonthly/Quarterly
Pipeline Velocity Formula
Pipeline Velocity = (# Opportunities × Win Rate × Avg Deal Size) / Sales Cycle Length
Example:
(100 opps × 25% × $50K) / 90 days = $13,889/day potential revenue
The Sales Tech Stack
┌─────────────────────────────────────────────────────────────┐
│ ANALYTICS LAYER │
│ (BI Tools: Tableau, Looker, Power BI, Salesforce Reports) │
├─────────────────────────────────────────────────────────────┤
│ CRM LAYER │
│ (Salesforce, HubSpot, Dynamics 365) │
├──────────────────┬──────────────────┬───────────────────────┤
│ ENGAGEMENT │ INTELLIGENCE │ ENRICHMENT │
│ Outreach, Salesloft│ Gong, Chorus │ ZoomInfo, Clearbit │
├──────────────────┴──────────────────┴───────────────────────┤
│ DATA LAYER │
│ (Integrations, ETL, Data Warehouse, CDP) │
└─────────────────────────────────────────────────────────────┘
Lead Scoring Matrix
Signal TypeExamplesWeight
Fit (firmographic)Industry, company size, tech stack40%
Engagement (behavioral)Website visits, content downloads, email opens35%
Intent (buying signals)Pricing page views, demo requests, competitor research25%
Territory Design Principles
┌─────────────────┐
│ BALANCED │
│ OPPORTUNITY │
└────────┬────────┘
│
┌───────────────────┼───────────────────┐
│ │ │
▼ ▼ ▼
┌─────────┐ ┌─────────┐ ┌─────────┐
│ Account │ │ Revenue │ │ Travel │
│ Volume │ │Potential│ │ Load │
└─────────┘ └─────────┘ └─────────┘

Key Metrics Overview

CategoryMetricTarget RangeRed Flag
ActivityMeetings/week/rep10-15<5
PipelineCoverage ratio3-4x<2x
VelocityAvg sales cycleIndustry dependentGrowing
QualityWin rate20-30%<15% or >50%
ForecastAccuracy±10%>25% variance
DataDuplicate rate<5%>10%

Anti-Patterns

  • Field proliferation — Adding fields without removing unused ones
  • Report graveyard — Dashboards no one looks at
  • Process theater — Mandatory updates that don't drive action
  • Excel dependency — Critical processes outside the CRM
  • Garbage in, garbage out — No data quality governance
  • Over-automation — Automating bad processes faster
  • Single point of failure — Tribal knowledge in one person's head
  • Metric gaming — Optimizing for the number, not the outcome

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
18
Repository forks
2
7-day trend score
15

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 26 Apr 2026, 6 months ago.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/ncklrs/startup-os-skills/sales-ops-analyst/badge)](https://verified-skill.com/skills/ncklrs/startup-os-skills/sales-ops-analyst)

Something wrong with this skill or its page? Tell us.