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Found 15 Skills
Comprehensive sales operations setup assistant that guides users through implementing lead management, forecasting, sales enablement, data analysis, process optimization, and team building based on proven sales operations frameworks and best practices.
Эксперт Sales Ops. Используй для процессов продаж, CRM, forecasting и sales analytics.
Expert sales operations covering CRM management, sales analytics, territory planning, compensation design, and process optimization.
When the user wants to create detailed production schedules, develop MPS, manage production planning, or translate S&OP to execution. Also use when the user mentions "MPS," "production plan," "available-to-promise," "master schedule," "rough-cut capacity planning," "time-phased planning," "planned orders," or "MRP input." For shop floor scheduling, see production-scheduling. For aggregate planning, see sales-operations-planning.
Strategic sales leadership guidance for B2B SaaS and enterprise software companies. Covers sales strategy, team building, pipeline management, enterprise selling, discovery calls, demos, proposals, negotiations, and sales operations. Use when building sales teams, designing sales processes, improving win rates, or scaling revenue operations. Use for "sales strategy", "sales process", "pipeline review", "deal strategy", "sales hiring", "quota planning".
Expert sales strategy and operations guidance for B2B SaaS companies. Use when designing sales processes, implementing qualification frameworks (MEDDIC, BANT, SPICED), territory planning, forecasting, quota setting, compensation design, or optimizing pipeline velocity. Covers sales methodology, org structure, tech stack selection, win rate analysis, and deal acceleration strategies.
Nutshell integration. Manage Leads, Persons, Organizations, Deals, Projects, Activities and more. Use when the user wants to interact with Nutshell data.
Build and validate revenue forecasts with pipeline coverage and gap analysis. Use when forecasting revenue, validating a commit, analyzing pipeline coverage, preparing for a forecast call, doing gap analysis, calculating weighted pipeline, or reviewing deal confidence levels. Do NOT use for individual deal analysis (use /sales-deal-inspect), portfolio pipeline management (use /sales-pipeline), or building outbound cadences (use /sales-cadence).
Use when reviewing or rebalancing direct vs. partner-led channel economics — computing fully-loaded cost-to-serve per channel, channel ROI with cash / LTV / marginal lenses, and optimal channel mix subject to constraints. For Head of Commercial, RevOps, and VP Sales doing quarterly channel review when pipeline is mixed (e.g., 60% direct + 40% partner-led) and nobody actually knows which channel makes money after CAC, support load, partner discount, deal-velocity differences, retention differential, and overhead allocation are all loaded in. Outputs cost to serve, channel ROI verdicts (DOUBLE-DOWN / MAINTAIN / DEFUND / EXIT), a sensitivity-tested channel-mix recommendation, and the diminishing-returns inflection. Not channel structure (that's partnerships-architect — tiers, joint GTM, revshare). Not RevOps process (that's business-growth/revenue-operations — lead routing, SDR motion). Not strategic CRO judgment (that's c-level-advisor/cro-advisor — comp plans, when-to-hire-a-VP-Sales). Not historical close-and-report (that's finance/financial-analysis). This skill answers: direct vs partner profitability, channel profitability, channel mix, channel economics.
Weighted pipeline forecast by probability. Historical accuracy tracking, commit vs best-case scenarios, deal slippage patterns.
4 production-ready business and growth skills: customer success manager with health scoring and churn prediction, sales engineer with RFP analysis, revenue operations with pipeline and GTM metrics, and contract & proposal writer. Python tools included (all stdlib-only). Works with Claude Code, Codex CLI, and OpenClaw.
Account assignment by revenue potential, geography, relationship. Workload balancing, TAM/SAM calculation, coverage models.