sales-playbook
Skill1 starsChanged 7 months agoMITView on GitHub
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. Framework 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. Use this skill when: - Preparing for a sales call and need competitive data to anchor on value - Building tiered pricing proposals for prospects…
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2 other projects use a version of this.
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Steady: 0 new projects took it in the last 4 weeks, none the 4 weeks before.thin data
Most recently taken up by
- ericosiu/ai-marketing-skillsword for word, first seen Sep 2, 2026
- varunk130/ai-marketing-claude-skillstheir own version, first seen May 18, 2026
Other versions2 projects use a version of this.
Word for word · 1
- ericosiu/ai-marketing-skills★ 3.8k100% same
Edited · 0
None found.
Wrote their own version · 1
- varunk130/ai-marketing-claude-skills★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository15 other files it gives its agents.
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The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 21
Use this skill when:
- Distinctive: line 46
All scripts use environment variables for API keys:
- Distinctive: line 81
No other external dependencies
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
AI Sales Playbook — Value-Based Pricing & Deal Upselling
Preamble (runs on skill start)
# Version check (silent if up to date)
python3 telemetry/version_check.py 2>/dev/null || true
# Telemetry opt-in (first run only, then remembers your choice)
python3 telemetry/telemetry_init.py 2>/dev/null || truePrivacy: 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. Seetelemetry/README.md.
Framework 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.
When to Use
Use this skill when:
- Preparing for a sales call and need competitive data to anchor on value
- Building tiered pricing proposals for prospects at different deal sizes
- Analyzing sales call transcripts to score against the value-based pricing framework
- Training sales reps on proven pricing patterns and objection handling
- Upselling existing deals by identifying missed value levers
Tools
Pre-Call Preparation
| Script | Purpose | Key Command |
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" |
value_pricing_packager.py | Generate tiered S/M/L + performance pricing packages | python3 value_pricing_packager.py --target-monthly 80000 --services "seo,cro,content,paid" |
Post-Call Analysis
| Script | Purpose | Key Command |
call_analyzer.py | Score a call transcript against the value-based pricing framework | python3 call_analyzer.py --transcript call.txt |
pricing_pattern_library.py | Reference library of 10 proven pricing patterns + training mode | python3 pricing_pattern_library.py --list |
Configuration
All scripts use environment variables for API keys:
Optional Environment Variables
AHREFS_API_KEY— Ahrefs API key (Briefing Generator, optional — uses stubs without it)SEMRUSH_API_KEY— SEMrush API key (Briefing Generator, optional — uses stubs without it)ANTHROPIC_API_KEY— Anthropic API key (Call Analyzer, Pattern Library scenario mode)OPENAI_API_KEY— OpenAI API key (alternative to Anthropic for LLM features)
Scripts work without API keys using built-in stubs and sample data for testing.
Key Concepts
The Value-Based Pricing Framework
- Lead with data, not your pitch — Show the prospect their competitive gaps before discussing services
- Anchor high — Present the premium tier first so the target tier feels reasonable
- Tie price to value — Every dollar of investment maps to projected ROI
- Use competitive triggers — Competitor rankings activate urgency without being pushy
- Present tiered options — 3-4 tiers with clear tradeoffs, always including a performance option
Pricing Framework Score (0-100)
The call analyzer scores calls against these criteria:
- Showed data before pitching (20 pts)
- Presented tiered options (20 pts)
- Anchored high first (15 pts)
- Tied price to value/ROI (15 pts)
- Used competitive triggers (15 pts)
- Got prospect to state their own pain (15 pts)
Dependencies
- Python 3.9+
requests(for API integrations)- No other external dependencies
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