A comprehensive framework for AI agents to qualify leads, price services, and generate high-converting business proposals.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install afrexai-proposal-engine
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install afrexai-proposal-engine using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Proposal Engine?
The Proposal Engine is a sophisticated workflow designed for Openclaw Skills to bridge the gap between initial client discovery and signed contracts. It leverages a rigorous BANT-Plus framework to score opportunities and uses value-based pricing models to ensure maximum profitability. By utilizing this skill, developers and consultants can automate the heavy lifting of proposal writing while maintaining a human-centric, Mirror-Solve-Prove-Ask narrative structure that resonates with decision-makers.
This system moves beyond simple templates by synthesizing discovery notes into structured data, allowing for the creation of customized, three-tier pricing options that utilize anchoring psychology. It ensures that every document generated is not just a list of services, but a compelling business case focused on ROI and the cost of inaction, significantly increasing close rates for professional services.
Proposal Engine Use Cases
- Responding to client requests for proposals after discovery calls or meetings.
- Converting raw interview notes into structured business requirements and success metrics.
- Generating professional Statements of Work (SOW) with clearly defined scope and exclusions.
- Calculating tiered pricing (Good/Better/Best) to maximize deal size and value perception.
- Responding to formal RFPs and RFIs with compliant, highly competitive documentation.
How Proposal Engine Works
- Qualify the opportunity using the BANT-Plus framework to determine if the lead is worth a custom investment.
- Extract key discovery insights into a structured YAML format, identifying decision-makers, triggers, and success metrics.
- Develop a pricing strategy that compares cost-plus floors against value-based targets for optimal margin.
- Construct the proposal using the winning formula: Mirroring the situation, solving the gap, proving capability, and defining the path.
- Apply a 10-point quality checklist to the draft to ensure clarity, relevance, and value framing.
- Execute a strategic multi-day follow-up cadence via Openclaw Skills to move the prospect toward a signature.
Proposal Engine Setup
To integrate this skill into your local environment, ensure your AI agent has access to the skill definition files. Use the following commands to initialize the directory structure:
# Create the local skill directory
mkdir -p ~/.openclaw/skills/proposal-engine
# Initialize the proposal configuration
touch ~/.openclaw/skills/proposal-engine/config.yaml
Configure your default currency, base hourly rates, and standard payment terms within your agent's environment variables to enable the automated pricing calculators.
Proposal Engine Data Schema & Taxonomy
The Proposal Engine organizes data using structured YAML blocks for easy parsing and consistency. This allows Openclaw Skills to maintain a clear taxonomy across different deal stages.
| Entity | Format | Description |
|---|---|---|
| Qualification | YAML | Scores Budget, Authority, Need, Timeline, Competition, and internal Champions. |
| Discovery | YAML | Captures industry context, trigger events, success metrics, and buyer fears. |
| Pricing Tiers | YAML | Defines Good, Better, and Best options with specific inclusions and ROI framing. |
| Project Plan | YAML | Maps out phases, durations, milestones, and specific client requirements. |
| Proof Elements | YAML | Stores relevant case studies, testimonials, and technical credentials. |
Proposal Engine Advanced Features
- Automated BANT-Plus decision matrix for instant go/no-go recommendations based on lead quality.
- Value-based pricing calculator that derives project fees from 10-20% of the client's expected ROI.
- Three-tier anchoring logic to make the middle option feel like the optimal business choice.
- Executive summary auto-generation tailored specifically for c-suite decision-makers.
- Objection handling repository for responding to common pricing or timeline pushback.
- 30-day follow-up automation schedule to prevent deals from stalling in the pipeline.
SKILL.md
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