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Sales Methodology Implementer

Community
pedronauck
sales-methodology-implementer

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.

Overview

Publisherpedronauck
Repositoryskills
Skill namesales-methodology-implementer
Stars
635
Forks
89
Bundled files
5
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by pedronauck on GitHub. Read the source before you install it.

Installation

Install the Sales Methodology Implementer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/pedronauck/skills/tree/main/skills/marketing/sales-methodology-implementer
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/pedronauck/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/marketing/sales-methodology-implementer .claude/skills/sales-methodology-implementer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sales Methodology Implementer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Sales Methodology Implementer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Sales Methodology Implementer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Sales Methodology Implementer AI skill do?

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.

Why use Sales Methodology Implementer on TypingMind?

Because you install it once and use it with any model. Sales Methodology Implementer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Sales Methodology Implementer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pedronauck/skills/tree/main/skills/marketing/sales-methodology-implementer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Sales Methodology Implementer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Sales Methodology Implementer?

As many as you like. As long as a model supports skills, you can use Sales Methodology Implementer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Sales Methodology Implementer AI skill free?

It is published on GitHub by pedronauck. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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