win proposal deal

Propostas comerciais que fecham — 4 agentes IA analisam seu prospect, desenham 3 opcoes de escopo, precificam com win-rate preditivo e entregam proposta persuasiva pronta em minutos

41installs
SAFE
npx squads add Renat0z/uploads/win-proposal-deal -y
proposalsaleswin-ratepricingcommercialautomationclosingdealforgeagency
Squads are published by third parties. squads.sh does not guarantee their safety or functionality. Use at your own risk. Read Terms
44 agents
44 tasks
22 workflows

DealForge

Proposals that close. In minutes, not days.


"While you're building proposals in Google Docs, your competitor already sent a personalized one."


Your sales team loses deals because of slow turnaround, gut-feel pricing, and generic proposals that convince no one. DealForge is a squad of 4 AI agents that transforms raw prospect data into a complete, persuasive commercial proposal with win-rate prediction — all before your coffee gets cold.

Installation

bash
npx squads add Renat0z/squads-sh-aios/proposal-engine

Why your agency loses deals

SymptomConsequence
Proposals take daysProspect goes cold, competitor gets there first
Pricing is guessworkOvercharge and lose, or undercharge and bleed margin
Copy-paste scopeGeneric proposals that don't speak the prospect's language
Objections catch you off guard"Too expensive", "need to think" — and you have no answer
Zero visibility on win-rateNo idea if you have 30% or 80% chance before hitting send

How DealForge solves it

Prospect data ──▶ [ DealForge ] ──▶ Ready proposal + Predicted Win-Rate

The pipeline runs through 4 specialized agents, each owning a critical stage:

1. Prospect X-Ray

ProspectAnalyzer dives into the data — company, industry, budget, pain points, history — and delivers a complete map of opportunities and risks.

2. Scope in 3 Versions

ScopeArchitect designs three strategic options — Essential, Recommended, and Premium — with price anchoring that guides the prospect toward the ideal version.

3. Smart Pricing

PricingStrategist calculates the optimal price: healthy margin x maximum win-rate. No more guesswork.

4. Killer Proposal

ProposalComposer brings it all together into a persuasive proposal with personalized copy, pre-handled objections, and a strategic CTA.

Result: professional proposal in minutes, with approval rate prediction.

Squad

AgentArchetypeWhat it does
🔍ProspectAnalyzerGuardianAnalyzes prospect, history and maps pain points/objections
📐ScopeArchitectBuilderDesigns scope in 3 versions with timeline and milestones
💰PricingStrategistBalancerPrices with optimized margin and predictive win-rate
📝ProposalComposerFlow_MasterComposes persuasive proposal with objection handling

Workflows

proposal_generation_pipeline — Full pipeline

From zero to final proposal in one command.

[ProspectAnalyzer] → [ScopeArchitect] → [PricingStrategist] → [ProposalComposer]

proposal_revision_flow — Quick revision

Adjusts existing proposal based on prospect feedback.

[ScopeArchitect] → [PricingStrategist] → [ProposalComposer]

Usage

bash
# Full pipeline — from prospect to final proposal
/SQUADS:pe:prospect-analyzer

# Or use individual agents
/SQUADS:pe:prospect-analyzer     # Prospect x-ray
/SQUADS:pe:scope-architect       # Scope design
/SQUADS:pe:pricing-strategist    # Strategic pricing
/SQUADS:pe:proposal-composer     # Proposal composition

Tasks

TaskOwnerLayer
analyzeProspect()ProspectAnalyzerOrganism
designScope()ScopeArchitectOrganism
calculatePricing()PricingStrategistOrganism
composeProposal()ProposalComposerOrganism

Author

Renato Medeiros (@Renat0z)

License

MIT

Reviews

0 reviews

Write a review

No reviews yet. Be the first to review this squad!

More from Renat0z