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sales-methodology-implementer

Implement proven sales methodologies (MEDDIC, BANT, Sandler, Challenger, SPIN) across your team.

Skill by OneWave-AI

IndexedMIT★ 373
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

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.

Use cases: sales

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What's inside

Skill 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.
License
MIT
Instructions
32 lines in SKILL.md · view on GitHub

Files (6)

  • SKILL.md
  • examples.md · references/
  • methodologies.md · references/
  • output-template.md · references/
  • templates-and-crm.md · references/
  • training-and-coaching.md · references/

SKILL.md (first lines)

# 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.

From OneWave-AI/claude-skills, MIT.

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Signals

Stars
373
Forks
60
Open issues
1
Last commit (this folder)
Jun 8, 2026 (4 months ago)
Last release
Jun 8, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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sales-methodology-implementer skill. Agent Mart. https://agentmart.dev/skills/onewave-ai-sales-methodology-implementer (last updated 2026-10-24)