Skip to content
cccskills
FreePublished on GitHub

ai-agent-pricing

Better proposals, faster closes. Use when creating AI agent pricing, automation proposals, ROI calculations, or sales materials. Generates professional pricing pages, case studies, and closing scripts for AI automation services.

The English summary is being prepared. Showing the original description.

Run score Not tested

See how to install

Files included (2)

  • SKILL.md5.7 KB
  • metadata.json1.5 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

AI Agent Pricing

Create winning proposals that close deals faster.

Quick Actions

NeedAction
Full proposal→ Generate Proposal (below)
Calculate ROI→ references/roi-calculator.md
Pricing page→ assets/templates/pricing-page.md
Case study→ assets/templates/case-study.md
Objection handling→ references/closing-scripts.md

Proposal Generator

Step 1: Discovery Questions

Ask the client:

  1. Pain: What manual task takes most time?
  2. Cost: How many hours/week? What's the hourly cost?
  3. Impact: What happens when it's not done?
  4. Timeline: When do you need this solved?
  5. Budget: What would you pay to make this go away?

Step 2: Calculate Value

Hours saved/month: [X]
Fully-loaded cost/hour: $[Y] (salary + overhead)
Monthly value created: X × Y = $[Z]
Annual value: Z × 12 = $[A]

Your price target: 10-25% of annual value

Step 3: Select Pricing Model

ModelBest ForStructure
Monthly RetainerPredictable, ongoing$X/mo flat fee
Usage-BasedVariable workloadsBase + per-task
Value ShareHigh-impact, trusted% of savings
ProjectOne-time buildsFixed price

Step 4: Build The Proposal

Use this structure:

# [Company Name] AI Automation Proposal

## The Problem
[1-2 sentences on their pain point]

## The Solution
[Your AI agent description - 3 bullets max]

## Expected Results
- Save [X] hours/week
- Reduce errors by [Y]%
- [Specific outcome they mentioned]

## Investment
| Item | Price |
|------|-------|
| Setup (one-time) | $X |
| Monthly service | $Y/mo |

## ROI Summary
- Monthly value created: $Z
- Monthly investment: $Y
- Net gain: $[Z-Y]/month
- Payback: [days] days

## Next Steps
1. Sign this proposal
2. [X] days: Discovery call
3. [Y] days: Agent delivered
4. [Z] days: Full deployment

---
Valid for 7 days

Pricing Tiers (Standard)

Starter - $297/mo

  • 1 AI agent
  • Up to 1,000 tasks/mo
  • Email support
  • Basic integrations (2)

Growth - $697/mo

  • 3 AI agents
  • Up to 5,000 tasks/mo
  • Priority support
  • Advanced integrations (5)
  • Custom training

Scale - $1,997/mo

  • 10 AI agents
  • Unlimited tasks
  • Dedicated support
  • All integrations
  • Custom development
  • SLA guarantee

Enterprise - Custom

  • Unlimited agents
  • On-prem option
  • White-label
  • Dedicated team

Usage-Based Pricing

Base: $99/mo (includes 500 tasks)
Tasks: $0.02 each over 500
API calls: $0.001 each
AI tokens: Pass-through + 20%

Example:
- 2,000 tasks = $99 + (1,500 × $0.02) = $129/mo

Value-Based Pricing

Discovery: 2-hour paid session ($500)
→ Identifies automation opportunity
→ Documents current costs

Proposal:
- Setup fee: 1 month of savings
- Monthly: 15-20% of ongoing savings
- Minimum: $500/mo

Example:
Client saves 40 hrs/mo at $50/hr = $2,000/mo value
- Setup: $2,000
- Monthly: $400/mo (20%)
- Annual: $6,800 (you) vs $24,000 (value) = 3.5x ROI for client

Israeli Market (NIS)

Standard Tiers

TierUSDNIS (inc. VAT)
Starter$297₪1,290
Growth$697₪2,990
Scale$1,997₪7,990

Payment Terms

  • Credit card: Immediate
  • Bank transfer: Net 30
  • Common: 3-6 month prepay (10% discount)

VAT Notes

  • Always quote VAT-inclusive for B2C
  • B2B: Quote net + 17% VAT
  • Export services: 0% VAT (keep proof)

Pricing Psychology

Anchor High

Show the expensive option first. Makes mid-tier feel reasonable.

Show Value, Not Cost

"This automation saves you $4,000/mo" not "This costs $500/mo"

Use Odd Numbers

$297 feels researched. $300 feels rounded/arbitrary.

Bundle Everything

"Includes setup, training, and 30-day support" > listing each

Create Urgency

"Price valid for 7 days" or "Next 3 clients get..."

Offer Annual

20% discount for annual = better cash flow, lower churn

Common Objections

ObjectionResponse
"Too expensive""Let's look at what it costs you NOT to do this..."
"Need to think""Of course. What specifically would you need to know?"
"Can't decide alone""Let's set up a call with [stakeholder] together"
"Build in-house""That's months + $X in salary. We're live in 2 weeks"
"Cheaper competitor""What's missing from their solution?"

See references/closing-scripts.md for full responses.

Proposal Delivery

Email Template

Subject: [Company] AI Automation Proposal

Hi [Name],

Great call today. As promised, here's the proposal for automating [task].

Summary:
- Problem: [pain point]
- Solution: [AI agent type]
- Investment: $X/mo
- ROI: Xх within [Y] months

[Link to proposal]

I'm available [times] for questions. The proposal is valid until [date].

Best,
[You]

Follow-Up Sequence

  • Day 0: Send proposal + email
  • Day 2: "Any questions?" check-in
  • Day 5: "Valid until [date]" reminder
  • Day 7: "Should I close this out?" final

References

TopicFile
ROI Calculatorreferences/roi-calculator.md
Closing Scriptsreferences/closing-scripts.md
Pricing Psychologyreferences/pricing-psychology.md

Templates

TemplateFile
Pricing Page HTMLassets/templates/pricing-page.md
Case Studyassets/templates/case-study.md
Proposal PDFassets/templates/proposal.md
Invoiceassets/templates/invoice.md

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

[00] TnR ABSOLUTE RIGOR — Systemic Verification Doctrine. Forced cognitive exertion for high-stakes investigations. Mandates absolute deconstruction, mathematical proof chains, and ≥95% derived certainty. Zero-tolerance for heuristics or sentiment-based reasoning. Shortcuts are defined as intentional hallucinations.

The English summary is being prepared. Showing the original description.

diegosouzapw/awesome-omni-skill65Updated Mar 2, 2026

2agent

Free

Configures 2-Agent workflow between PM and implementation roles. Use when user mentions 2-Agent, 2エージェント, PM連携設定, Cursor設定, Cursor連携, 2-agent運用. Do NOT load for: 単独運用, ワークフロー実行, ハンドオフ処理.

The English summary is being prepared. Showing the original description.

diegosouzapw/awesome-omni-skill65Updated Mar 2, 2026

Appends relevant hashtags to journal entries based on content analysis. Intended for LLM execution.

The English summary is being prepared. Showing the original description.

diegosouzapw/awesome-omni-skill65Updated Mar 2, 2026

Add a new AI coding agent to Agent Sandbox. Creates all required files (Dockerfile, templates, CI, docs) and wires the agent into the CLI, proxy, and build system.

The English summary is being prepared. Showing the original description.

diegosouzapw/awesome-omni-skill65Updated Mar 2, 2026

Add a new property to the AI agents database. Use when the user wants to add, create, or introduce a new column, property, field, or feature to track across all agents in the comparison matrix. Handles all four required steps - database updates, groups.json, table display, and GitHub issue templates.

The English summary is being prepared. Showing the original description.

diegosouzapw/awesome-omni-skill65Updated Mar 2, 2026

Add new Agent templates to the meta-agent-skills framework.

The English summary is being prepared. Showing the original description.

diegosouzapw/awesome-omni-skill65Updated Mar 2, 2026

See all skills by diegosouzapw

Report a problem with this skill