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SKILL.md

sales-playbook

Agent skill fromericosiu/ai-marketing-skills

python3 telemetry/version_check.py 2>/dev/null || true

How to install sales-playbook

install sales-playbook
# install the ai-marketing-skills pack with the skills CLI
npx skills add ericosiu/ai-marketing-skills

# or add only this skill to Claude Code: copy the folder

sales-playbook/

# into

~/.claude/skills/sales-playbook/ (all projects)

.claude/skills/sales-playbook/ (one project)

sales-playbook/SKILL.md

MITFull file
1# AI Sales Playbook — Value-Based Pricing & Deal Upselling
2
3## Preamble (runs on skill start)
4
5```bash
6# Version check (silent if up to date)
7python3 telemetry/version_check.py 2>/dev/null || true
8
9# Telemetry opt-in (first run only, then remembers your choice)
10python3 telemetry/telemetry_init.py 2>/dev/null || true
11```
12
13> **Privacy:** This skill logs usage locally to `~/.ai-marketing-skills/analytics/`. Remote telemetry is opt-in only. No code, file paths, or repo content is ever collected. See `telemetry/README.md`.
14
15---
16
17Framework for value-based pricing that moves deals from $10K/mo → $40-100K/mo. Pre-call briefings, tiered package generation, post-call analysis, and a pattern library for training sales teams on proven pricing techniques.
18
19## When to Use
20
21Use this skill when:
22- Preparing for a sales call and need competitive data to anchor on value
23- Building tiered pricing proposals for prospects at different deal sizes
24- Analyzing sales call transcripts to score against the value-based pricing framework
25- Training sales reps on proven pricing patterns and objection handling
26- Upselling existing deals by identifying missed value levers
27
28## Tools
29
30### Pre-Call Preparation
31
32| Script | Purpose | Key Command |
33|--------|---------|-------------|
34| `value_pricing_briefing.py` | Generate pre-call briefing with competitive data, value calcs, and conversation hooks | `python3 value_pricing_briefing.py --domain acme.com --competitors "comp1.com,comp2.com"` |
35…

Excerpt shown under the repository's MIT license.

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