# Sales Skills

**Total Skills:** 47

## Risk Distribution

| Risk Level  | Count |
| ----------- | ----- |
| 🔴 Review   | 28    |
| 🟡 Elevated | 4     |
| 🔵 Standard | 8     |
| 🟢 Low      | 7     |

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## Skills

| #   | Skill ID                       | Risk        | Job to be Done                                                                                                                                                                                                             |
| --- | ------------------------------ | ----------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| 1   | `elg_co_sell_trigger`          | 🔴 Review   | Initiates and manages co-selling workflows with partners for joint opportunities.                                                                                                                                          |
| 2   | `elg_deal_registration`        | 🔴 Review   | Manages partner deal registration workflow including submission, approval, protection, and expiration tracking.                                                                                                            |
| 3   | `elg_referral_program`         | 🔴 Review   | Manages partner referral programs including lead tracking, commission calculation, payout processing, and referral analytics.                                                                                              |
| 4   | `elg_nearbound_signal`         | 🔴 Review   | Identifies partner-influenced opportunities from ecosystem signals including overlapping accounts, shared contacts, and partner activity data.                                                                             |
| 5   | `elg_marketplace_integration`  | 🔴 Review   | Manages marketplace listings and tracks integration-driven growth.                                                                                                                                                         |
| 6   | `elg_partner_mapping`          | 🔴 Review   | Maps accounts between partners to identify overlaps and co-selling opportunities.                                                                                                                                          |
| 7   | `elg_tech_partner_finder`      | 🔴 Review   | Identifies and evaluates potential technology partners based on product synergies, market overlap, and integration opportunities.                                                                                          |
| 8   | `finops_arr_waterfall`         | 🔴 Review   | Analyzes ARR movements including new, expansion, contraction, and churn for revenue visibility                                                                                                                             |
| 9   | `finops_investor_metrics`      | 🔴 Review   | Compiles key SaaS metrics for investor reporting, board meetings, and fundraising                                                                                                                                          |
| 10  | `plg_pql_scoring`              | 🔴 Review   | Identifies and scores Product-Qualified Leads (PQLs) based on product usage patterns and engagement signals.                                                                                                               |
| 11  | `plg_self_serve_expansion`     | 🔵 Standard | Identifies and enables account expansion opportunities through seat additions, plan upgrades, and add-on purchases without sales involvement.                                                                              |
| 12  | `ai_conversation_intelligence` | 🟡 Elevated | Analyzes sales and support conversations for insights, coaching, and deal intelligence.                                                                                                                                    |
| 13  | `ai_meeting_intelligence`      | 🔴 Review   | Analyzes meeting recordings and transcripts to extract insights, action items, and deal intelligence.                                                                                                                      |
| 14  | `revops_opportunity_scoring`   | 🔴 Review   | Scores opportunities using AI-powered analysis of engagement signals, firmographics, and historical patterns.                                                                                                              |
| 15  | `revops_territory_planner`     | 🟡 Elevated | Designs balanced sales territories optimizing for coverage, capacity, and revenue potential.                                                                                                                               |
| 16  | `revops_deal_inspection`       | 🔴 Review   | Conducts thorough deal reviews with MEDDPICC analysis, risk assessment, and actionable coaching.                                                                                                                           |
| 17  | `revops_cpq_quote_generator`   | 🔴 Review   | Generates accurate, compliant quotes with intelligent product configuration, pricing rules, and approval workflows.                                                                                                        |
| 18  | `revops_forecast_intelligence` | 🟡 Elevated | AI-powered revenue forecasting with deal-level predictions, risk analysis, and scenario modeling.                                                                                                                          |
| 19  | `revops_pricing_guidance`      | 🔴 Review   | Provides real-time pricing guidance based on deal context, competitive dynamics, and win rate optimization.                                                                                                                |
| 20  | `revops_multi_thread_tracker`  | 🔴 Review   | Tracks and optimizes multi-stakeholder engagement to reduce single-threading risk.                                                                                                                                         |
| 21  | `revops_sales_coaching`        | 🔵 Standard | Provides AI-powered coaching insights based on call analysis, deal patterns, and performance metrics.                                                                                                                      |
| 22  | `revops_deal_velocity`         | 🔴 Review   | Analyzes and optimizes deal velocity to accelerate sales cycles and improve conversion rates.                                                                                                                              |
| 23  | `revops_lead_routing`          | 🔴 Review   | Routes leads by territory, skill, and capacity for optimal conversion using AI-powered matching.                                                                                                                           |
| 24  | `revops_quota_setter`          | 🔵 Standard | Sets fair, achievable quotas using historical performance, market data, and territory potential.                                                                                                                           |
| 25  | `revops_renewals_handoff`      | 🔵 Standard | Orchestrates seamless handoff from sales to customer success and manages renewal pipeline.                                                                                                                                 |
| 26  | `revops_stage_duration`        | 🔴 Review   | Analyzes deal stage durations to identify bottlenecks, optimize sales process, and improve forecasting.                                                                                                                    |
| 27  | `revops_meeting_scheduler`     | 🔵 Standard | Schedules optimal meeting times considering availability, timezone, deal priority, and meeting type.                                                                                                                       |
| 28  | `revops_pipeline_health`       | 🔴 Review   | Monitors pipeline health, identifies at-risk deals, and triggers proactive interventions.                                                                                                                                  |
| 29  | `revops_lead_qualification`    | 🔴 Review   | Qualifies leads using BANT, MEDDIC, or custom frameworks, combining firmographic and behavioral signals.                                                                                                                   |
| 30  | `revops_commit_accuracy`       | 🔴 Review   | Tracks and improves forecast commit accuracy by analyzing historical patterns and deal signals.                                                                                                                            |
| 31  | `revops_handoff_orchestration` | 🟡 Elevated | Orchestrates seamless handoffs between Marketing, Sales, and Customer Success teams.                                                                                                                                       |
| 32  | `mon_discount_optimizer`       | 🔴 Review   | Optimizes discount strategies to maximize conversion while protecting margins                                                                                                                                              |
| 33  | `mon_commitment_tracker`       | 🔵 Standard | Tracks minimum commitments, consumption vs commitment, and true-up obligations                                                                                                                                             |
| 34  | `mon_contract_value_tracker`   | 🔴 Review   | Tracks total contract value, recognized revenue, and remaining obligations                                                                                                                                                 |
| 35  | `mon_pricing_optimization`     | 🔵 Standard | Analyzes pricing effectiveness and recommends optimizations for revenue growth.                                                                                                                                            |
| 36  | `mon_upgrade_trigger`          | 🔴 Review   | Identifies optimal moments to present upgrade offers and executes upgrade flows.                                                                                                                                           |
| 37  | `boyce_multi_gtm_orchestrator` | 🔵 Standard | Orchestrates multiple GTM motions (PLG + Sales) in parallel. Based on Dave Boyce's FREEMIUM framework (Chapter 13): Run your multi-GTM business like a lean revenue factory.                                               |
| 38  | `boyce_product_led_sales`      | 🔴 Review   | Hybrid PLG+Sales motion using product usage signals to generate and qualify sales pipeline. Based on Dave Boyce's FREEMIUM framework (Chapters 14-15): 'To maximize Enterprise Sales, you need a self-service happy path.' |
| 39  | `plgf_paywall_upgrade_cro`     | 🔴 Review   | Conversion rate optimization framework for paywalls including feature locks, usage limits, trial expiry, copy frameworks, and mobile patterns.                                                                             |
| 40  | `cursor_rules/azure-pipelines` | 🟢 Low      | This guide provides opinionated, actionable best practices for writing secure, performant, and maintainable Azure Pipelines using YAML, focusing on modern CI/CD patterns and common pitfalls.                             |
| 41  | `cursor_rules/seaborn`         | 🟢 Low      | This guide defines best practices for using Seaborn in Python for data visualization, emphasizing modern, reproducible, and performant approaches in AI/ML pipelines.                                                      |
| 42  | `cursor_rules/gitlab-ci`       | 🟢 Low      | This guide provides opinionated, actionable best practices for structuring, optimizing, and securing GitLab CI/CD pipelines, focusing on modern patterns and avoiding common pitfalls.                                     |
| 43  | `cursor_rules/databricks`      | 🟢 Low      | Definitive guidelines for developing robust, performant, and secure applications and data pipelines on Databricks using modern best practices and native services.                                                         |
| 44  | `cursor_rules/lightgbm`        | 🟢 Low      | This guide provides opinionated, actionable best practices for using LightGBM in production-grade Python ML pipelines, focusing on performance, reproducibility, and maintainability.                                      |
| 45  | `cursor_rules/jenkins`         | 🟢 Low      | Definitive guidelines for writing robust, maintainable, and secure Jenkins Pipelines using modern best practices.                                                                                                          |
| 46  | `cursor_rules/github-actions`  | 🟢 Low      | This guide provides definitive, opinionated best practices for writing robust, secure, and performant GitHub Actions workflows. Follow these rules to build maintainable CI/CD pipelines.                                  |
| 47  | `scientific/pytdc`             | 🔴 Review   | Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML and pharmacological prediction.                                      |

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