sales-methodology-implementer
$
npx mdskill add OneWave-AI/claude-skills/sales-methodology-implementerTurn abstract sales frameworks into concrete, scored, coachable deal execution for a team.
SKILL.md
.github/skills/sales-methodology-implementerView on GitHub ↗
--- name: sales-methodology-implementer description: Implement proven sales methodologies (MEDDIC, BANT, Sandler, Challenger, SPIN) across your team. Generate framework-specific questions, score deals, train reps, and enforce consistent qualification. Use when implementing or optimizing sales processes. --- # Sales Methodology Implementer Turn abstract sales frameworks into concrete, scored, coachable deal execution for a team. ## Contents - references/methodologies.md - The 7 supported frameworks: best-fit profile, cycle, deal size, philosophy. - references/output-template.md - Full implementation deliverable structure (overview, framework breakdown, scorecard, status, next actions). - references/examples.md - Worked MEDDIC and BANT scoring examples. - references/training-and-coaching.md - Rep training curriculum, call-prep checklist, manager coaching guide, 30/60/90 rollout plan. - references/templates-and-crm.md - Call scripts, email templates, status-update formats, Salesforce/HubSpot fields, success metrics. ## Workflow 1. Clarify the sales motion: deal type, average deal size, sales cycle, and which methodology applies. Pick one framework per engagement (see references/methodologies.md). 2. Generate the framework breakdown: for each component define it, explain why it matters, and produce tiered discovery questions (Tier 1 essential, Tier 2 important, Tier 3 nice-to-have) with red flags and green flags. 3. Build the deal scorecard aligned to the chosen framework, scoring each component 0-10 with evidence and a risk level, then roll up to a 0-100 overall score and a status (Qualified / Pursue With Caution / Disqualify). 4. Score the live deal: list strengths with evidence, gaps and risks with mitigations, and missing information still to gather. 5. Prioritize next actions (Immediate, Short-term, Before Close) with purpose, target contact, and success metric for each. 6. Produce enablement assets as requested: rep training curriculum, call-prep checklist, manager coaching guide, and the 30/60/90 rollout (see references/training-and-coaching.md). 7. Supply reusable templates: call scripts, follow-up emails, status updates, and CRM field definitions (see references/templates-and-crm.md). 8. Assemble the deliverable using the structure in references/output-template.md, replacing every placeholder with customer-specific content. ## Operating Principles 1. Implement one methodology at a time; do not stack frameworks. 2. Adapt questions and scoring thresholds to the customer's specific sales motion. 3. Make scoring habitual by integrating it into the CRM workflow. 4. Score on evidence, not assumptions; reward disqualifying bad deals early. 5. Track the correlation between scores and actual wins, and adjust thresholds from that data.
More from OneWave-AI/claude-skills
- accessibility-auditorAudit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.
- agent-armyDeploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. Layer 1 is 3-50+ specialist agents, each with its own full context window; Layer 2 is 2+ sub-agents per member. Includes git safety, tiered sizing, a pre-deploy gate, phantom-completion checks, and multi-wave follow-up.
- agent-swarm-deployerDeploys swarms of sub-agents for massive parallel data processing tasks. Unlike agent-army (which is for code changes), this is for DATA tasks -- processing 1000 documents, analyzing datasets, bulk content generation. Configurable swarm size, task distribution, result aggregation, progress tracking, and error recovery.
- agent-team-builderDesigns and deploys custom agent teams for specific business workflows. Interactive discovery of business processes, then generates complete team configurations with specialized agent roles, tool access, communication protocols, and handoff rules.
- agent-to-agentAgent-to-Agent (A2A) communication protocol. Connect two or more Claude agents that pass messages, share context, delegate tasks, and collaborate. Implements structured handoffs, shared memory, and multi-agent conversations.
- ai-readiness-assessmentAssesses how ready a business is for AI adoption across six dimensions. Evaluates data maturity, tech stack, team skills, process documentation, budget, and culture. Generates a comprehensive ai-readiness-report.md with scores, gap analysis, and recommended starting points. Aligned with OneWave AI's audit methodology.
- animateGenerate animated videos and motion graphics from natural language descriptions. Creates a standalone Vite + React project with Framer Motion scenes that auto-play in the browser. Use when the user wants to create animations, motion graphics, video intros, animated presentations, or product demos.
- api-documentation-writerGenerate comprehensive API documentation including endpoint descriptions, request/response examples, authentication guides, error codes, and SDKs. Creates OpenAPI/Swagger specs, REST API docs, and developer-friendly reference materials. Use when users need to document APIs, create technical references, or write developer documentation.
- api-endpoint-scaffolderGenerate REST API endpoints with proper structure, validation, error handling, and types. Use when creating new API routes, endpoints, or backend services.
- api-load-testerLoad tests API endpoints with progressive concurrency. Measures response times, error rates, throughput, and identifies breaking points. Generates a detailed report with latency percentiles, throughput curves, bottleneck analysis, and optimization recommendations.