
sales-operations
Эксперт Sales Ops. Используй для процессов продаж, CRM, forecasting и sales analytics.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/dengineproblem/agents-monorepo --skill sales-operations- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads sales-operations automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Sales Operations Expert
Operational excellence in sales process design, systems administration, and analytics.
Sales Process Design
sales_stages:
stage_0_prospecting:
name: "Prospecting"
owner: "SDR"
probability: "0%"
activities:
- "Account research"
- "Contact identification"
- "Initial outreach"
exit_criteria:
- "Meeting scheduled"
- "Interest confirmed"
required_fields:
- "Lead source"
- "ICP score"
stage_1_discovery:
name: "Discovery"
owner: "AE"
probability: "10%"
activities:
- "Discovery call"
- "Needs assessment"
- "Stakeholder mapping"
exit_criteria:
- "Pain identified and quantified"
- "Budget range confirmed"
- "Timeline established"
- "Key stakeholders identified"
required_fields:
- "Primary contact"
- "Problem statement"
- "Budget range"
- "Expected close date"
stage_2_qualification:
name: "Qualification"
owner: "AE"
probability: "25%"
activities:
- "MEDDIC completion"
- "Technical fit assessment"
- "Champion development"
exit_criteria:
- "MEDDIC 80% complete"
- "Technical requirements documented"
- "Champion identified"
- "Competition mapped"
required_fields:
- "Decision criteria"
- "Decision process"
- "Competitors"
- "Champion name"
stage_3_demo:
name: "Demo/Evaluation"
owner: "AE + SE"
probability: "50%"
activities:
- "Product demonstration"
- "Technical deep dive"
- "POC/trial if needed"
exit_criteria:
- "Demo completed successfully"
- "Technical approval received"
- "Positive feedback documented"
required_fields:
- "Demo date"
- "Attendees"
- "Technical requirements"
- "POC scope (if applicable)"
stage_4_proposal:
name: "Proposal"
owner: "AE"
probability: "75%"
activities:
- "Proposal creation"
- "Pricing presentation"
- "Contract review"
exit_criteria:
- "Proposal delivered"
- "Pricing discussed"
- "No major objections"
required_fields:
- "Proposal sent date"
- "Proposed amount"
- "Contract terms"
- "Discount (if any)"
stage_5_negotiation:
name: "Negotiation"
owner: "AE"
probability: "90%"
activities:
- "Term negotiation"
- "Legal review"
- "Final approvals"
exit_criteria:
- "Terms agreed"
- "Legal approved"
- "Signature pending"
required_fields:
- "Final contract"
- "Expected signature date"
- "Approvers"
stage_6_closed_won:
name: "Closed Won"
probability: "100%"
required_fields:
- "Signed contract"
- "Start date"
- "Implementation owner"
CRM Management
crm_administration:
data_model:
objects:
lead:
purpose: "Pre-qualified prospects"
key_fields:
- "Name, Company, Email"
- "Lead source"
- "Lead score"
- "Status"
lifecycle: "Create → Qualify → Convert to Contact/Opp"
contact:
purpose: "Individual people"
key_fields:
- "Name, Title, Email"
- "Account relationship"
- "Role in deals"
relationships: "Account, Opportunities"
account:
purpose: "Companies"
key_fields:
- "Name, Industry, Size"
- "ICP score"
- "Owner"
- "Tier"
relationships: "Contacts, Opportunities"
opportunity:
purpose: "Potential deals"
key_fields:
- "Name, Amount, Stage"
- "Close date"
- "Probability"
- "Owner"
relationships: "Account, Contacts, Products"
data_hygiene:
rules:
duplicate_prevention:
- "Email uniqueness on Contacts"
- "Domain matching for Accounts"
- "Automated merge suggestions"
required_fields:
- "Enforce by stage"
- "Validation rules"
- "Picklist standardization"
data_quality:
- "Weekly duplicate reports"
- "Monthly enrichment updates"
- "Quarterly data audits"
automation_rules:
lead_routing:
criteria:
- "Territory (geography)"
- "Company size"
- "Lead score"
- "Round robin for overflow"
sla: "5 minutes to assignment"
opportunity_creation:
trigger: "Lead converted"
actions:
- "Create opportunity"
- "Copy MEDDIC fields"
- "Assign to AE"
- "Create tasks"
stage_progression:
validation:
- "Required fields complete"
- "Exit criteria met"
- "Manager approval (if needed)"
Forecasting
forecast_methodology:
categories:
commit:
definition: "Will close this period"
confidence: ">90%"
criteria:
- "Verbal yes"
- "Contract in legal"
- "No blockers"
weighting: "100%"
best_case:
definition: "Could close with effort"
confidence: "60-90%"
criteria:
- "Proposal accepted"
- "Negotiating terms"
- "Timeline aligned"
weighting: "70%"
pipeline:
definition: "May close this period"
confidence: "30-60%"
criteria:
- "Active evaluation"
- "Budget confirmed"
- "Possible timeline"
weighting: "40%"
upside:
definition: "Low probability this period"
confidence: "<30%"
criteria:
- "Early stage"
- "Timeline uncertain"
- "Budget not confirmed"
weighting: "10%"
forecast_calculation:
weighted: |
Forecast =
(Commit × 100%) +
(Best Case × 70%) +
(Pipeline × 40%) +
(Upside × 10%)
coverage: |
Coverage Ratio = Total Pipeline / Quota
Target: 3-4x coverage
forecast_cadence:
weekly:
- "Rep submits forecast (Monday)"
- "Manager review (Tuesday)"
- "Leadership call (Wednesday)"
- "Update actions (Thursday-Friday)"
monthly:
- "Week 1: Forecast accuracy review"
- "Week 2: Mid-month adjust"
- "Week 3: Final push planning"
- "Week 4: Close month"
accuracy_metrics:
calculation: "Actual / Forecast"
targets:
acceptable: "85-115%"
good: "90-110%"
excellent: "95-105%"
tracking: "Month over month trend"
Pipeline Analytics
pipeline_metrics:
volume:
total_pipeline: "Sum of all open opportunities"
new_pipeline: "Created this period"
pipeline_growth: "(Current - Previous) / Previous"
velocity:
formula: |
(# Opps × Win Rate × Avg Deal Size) / Sales Cycle
components:
opportunities: "Count of qualified opps"
win_rate: "Won / (Won + Lost)"
deal_size: "Average closed won"
cycle_time: "Days from creation to close"
conversion:
stage_conversion: "Moved to next stage / Started in stage"
lead_to_opp: "Opportunities / Leads"
opp_to_won: "Won / All closed"
quality:
average_deal_size: "Sum(Amount) / Count(Won)"
discount_rate: "Average discount given"
sales_cycle: "Average days to close"
pipeline_analysis:
by_segment:
- "By rep/team"
- "By territory"
- "By product"
- "By source"
trending:
- "Pipeline created over time"
- "Stage velocity trends"
- "Win rate by cohort"
- "Deal size trends"
health_checks:
- "Aging deals (no activity 14+ days)"
- "Stalled opportunities"
- "Close date slippage"
- "Coverage by segment"
Deal Desk Operations
deal_desk:
approval_matrix:
standard_deal:
criteria: "Within guidelines"
approver: "AE manager"
turnaround: "Same day"
non_standard_pricing:
criteria: "10-20% discount"
approver: "Sales Director"
turnaround: "24 hours"
strategic_deal:
criteria: ">20% discount or custom terms"
approver: "VP Sales + Finance"
turnaround: "48 hours"
enterprise_deal:
criteria: ">$100K or multi-year"
approver: "CRO"
turnaround: "48-72 hours"
pricing_guidelines:
discount_authority:
ae: "Up to 10%"
manager: "Up to 15%"
director: "Up to 20%"
vp: "Up to 25%"
cro: "Unlimited"
discount_justification:
required_for:
- "Any discount >10%"
- "Custom payment terms"
- "Multi-year deals"
documentation:
- "Competitive pressure"
- "Strategic value"
- "Reference potential"
contract_management:
templates:
- "Standard subscription"
- "Enterprise license"
- "Professional services"
- "NDA"
- "MSA + Order Form"
legal_review:
standard: "Pre-approved, no review"
modified: "1-2 business days"
custom: "3-5 business days"
signature_process:
- "DocuSign/PandaDoc"
- "Automated routing"
- "Counter-signature SLA"
- "Contract storage"
Performance Analytics
sales_dashboards:
executive:
metrics:
- "Revenue vs target"
- "Pipeline coverage"
- "Win rate trend"
- "Forecast accuracy"
- "Headcount vs plan"
refresh: "Daily"
manager:
metrics:
- "Team attainment"
- "Rep pipeline health"
- "Activity metrics"
- "Deal progression"
- "Coaching opportunities"
refresh: "Daily"
individual:
metrics:
- "Personal attainment"
- "Pipeline status"
- "Activity tracking"
- "Deal stages"
- "Commission forecast"
refresh: "Real-time"
rep_performance:
quota_attainment:
calculation: "Closed Won / Quota"
targets:
ramp: "50% (months 1-3)"
full: "100%"
stretch: "120%"
activity_metrics:
calls: "Dials per day"
meetings: "Meetings held"
proposals: "Proposals sent"
demos: "Demos delivered"
quality_metrics:
win_rate: "Won / All closed"
avg_deal_size: "Revenue / Won deals"
sales_cycle: "Days to close"
discount_rate: "Average discount"
leading_indicators:
pipeline_coverage: "Pipeline / Remaining quota"
opportunity_creation: "New opps per month"
stage_progression: "Velocity through stages"
Territory & Quota
territory_management:
models:
geographic:
basis: "Region, country, state"
pros: "Simple, clear ownership"
cons: "Uneven potential"
named_accounts:
basis: "Specific account list"
pros: "Focus on key accounts"
cons: "Coverage gaps"
segment:
basis: "Company size, industry"
pros: "Specialization"
cons: "Complexity"
hybrid:
basis: "Combination of above"
pros: "Balanced coverage"
cons: "Administration overhead"
balancing:
factors:
- "Total addressable market"
- "Account potential"
- "Historical performance"
- "Rep capacity"
- "Travel requirements"
metrics:
- "Accounts per rep"
- "Potential revenue"
- "Win rate by territory"
quota_setting:
methodology:
bottom_up:
calculation: "Sum of rep quotas"
basis: "Territory potential"
top_down:
calculation: "Company target / Reps"
basis: "Growth objectives"
blended:
calculation: "Average of both"
adjustments: "Territory factors"
factors:
- "Historical performance"
- "Territory potential"
- "Market growth"
- "Product launches"
- "Ramp time"
- "Seasonality"
quota_types:
bookings: "New ARR"
revenue: "Recognized revenue"
pipeline: "Pipeline generated"
activity: "Meetings, demos"
Лучшие практики
- Process before tools — определи процесс, потом автоматизируй
- Data quality first — мусор на входе = мусор на выходе
- Inspect what you expect — регулярные ревью pipeline
- Forecast accuracy focus — точность > оптимизм
- Enable, don't police — помогай продавать, не усложняй
- Continuous improvement — итерации на основе данных
FAQ
What does the sales-operations skill do?
Эксперт Sales Ops. Используй для процессов продаж, CRM, forecasting и sales analytics.
How do I install sales-operations?
Run npx skills add https://github.com/dengineproblem/agents-monorepo --skill sales-operations in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/sales-operations/ (personal) or .claude/skills/sales-operations/ (project).
Which AI agents can use sales-operations?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is sales-operations safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains sales-operations?
It is published by dengineproblem in dengineproblem/agents-monorepo. It has 91 recorded installs.
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