bambu-studio-ai
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Proposal Engine — Win More Deals
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install 1kalin/afrexai-proposal-engine打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Turn discovery calls into winning proposals. Full lifecycle: qualify → scope → price → write → present → close.
Before writing anything, score the opportunity:
qualification:
budget:
score: 0-3 # 0=unknown, 1=below range, 2=in range, 3=confirmed+funded
notes: ""
authority:
score: 0-3 # 0=no access, 1=influencer only, 2=decision maker involved, 3=signer in room
notes: ""
need:
score: 0-3 # 0=nice-to-have, 1=want, 2=need, 3=urgent/painful
notes: ""
timeline:
score: 0-3 # 0=someday, 1=this quarter, 2=this month, 3=this week/ASAP
notes: ""
competition:
score: 0-3 # 0=3+ competitors, 1=2 competitors, 2=1 competitor, 3=sole source
notes: ""
champion:
score: 0-3 # 0=no internal advocate, 1=passive, 2=active, 3=actively selling for you
notes: ""
total: 0 # Sum of all scores. Max=18
Decision matrix:
| Score | Action |
|---|---|
| 14-18 | Full custom proposal — invest heavily |
| 10-13 | Standard proposal with light customization |
| 6-9 | Template proposal or decline politely |
| 0-5 | Decline — not qualified. Send a polite "not a fit" email |
After a discovery call, extract these into structured notes:
discovery:
client:
company: ""
industry: ""
size: "" # employees, revenue range
decision_makers:...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
Turn discovery calls into winning proposals. Full lifecycle from qualification to close.
Most "proposal" tools help you format a document. This skill helps you win the deal.
clawhub install afrexai-proposal-engine
Tell your agent:
"Create a proposal for [client]" — full guided flow"Score this opportunity" — qualification check"Help me price [project]" — three-tier pricing builder"Review my proposal" — quality scoring + improvementsThe original ai-proposal-generator on ClawHub focuses on HTML templates and color themes — making proposals look nice.
This skill focuses on making proposals win:
Want industry-specific proposal templates, pricing benchmarks, and competitive positioning?
# Proposal Engine — Win More Deals
Turn discovery calls into winning proposals. Full lifecycle: qualify → scope → price → write → present → close.
## When to Use
- Client says "send me a proposal"
- After a discovery call or meeting
- Responding to an RFP/RFI
- Creating a statement of work (SOW)
- Pricing a new project or retainer
## 1. Pre-Proposal Qualification (Don't Waste Time)
Before writing anything, score the opportunity:
### BANT-Plus Framework
```yaml
qualification:
budget:
score: 0-3 # 0=unknown, 1=below range, 2=in range, 3=confirmed+funded
notes: ""
authority:
score: 0-3 # 0=no access, 1=influencer only, 2=decision maker involved, 3=signer in room
notes: ""
need:
score: 0-3 # 0=nice-to-have, 1=want, 2=need, 3=urgent/painful
notes: ""
timeline:
score: 0-3 # 0=someday, 1=this quarter, 2=this month, 3=this week/ASAP
notes: ""
competition:
score: 0-3 # 0=3+ competitors, 1=2 competitors, 2=1 competitor, 3=sole source
notes: ""
champion:
score: 0-3 # 0=no internal advocate, 1=passive, 2=active, 3=actively selling for you
notes: ""
total: 0 # Sum of all scores. Max=18
```
**Decision matrix:**
| Score | Action |
|-------|--------|
| 14-18 | Full custom proposal — invest heavily |
| 10-13 | Standard proposal with light customization |
| 6-9 | Template proposal or decline politely |
| 0-5 | Decline — not qualified. Send a polite "not a fit" email |
### Disqualification Signals (Walk Away)
- They want a proposal before a real conversation
- "We're just getting quotes" (you're column fodder)
- No budget conversation allowed
- Decision maker won't attend any meeting
- Timeline is "whenever" with no urgency driver
- They want you to do unpaid strategy work in the proposal
## 2. Discovery Extraction
After a discovery call, extract these into structured notes:
```yaml
discovery:
client:
company: ""
industry: ""
size: "" # employees, revenue range
decision_makers:...# Proposal Engine — Win More Deals 🖤💛 Turn discovery calls into winning proposals. Full lifecycle from qualification to close. Most "proposal" tools help you format a document. This skill helps you **win the deal**. ## What You Get - **BANT-Plus Qualification** — Score opportunities before wasting time writing - **Discovery Extraction** — Structured framework to capture what matters from calls - **Three-Tier Pricing** — Psychology-backed pricing strategy (not just a template) - **Complete Proposal Structure** — Mirror → Solve → Prove → Ask formula - **100-Point Quality Checklist** — Score your proposal before sending - **Follow-Up Cadence** — 30-day system so deals don't die in inbox - **Objection Handling** — Word-for-word responses to the 5 most common pushbacks - **4 Proposal Templates** — Consulting, Software, Creative, RFP Response ## Install ```bash clawhub install afrexai-proposal-engine ``` ## Quick Start Tell your agent: - `"Create a proposal for [client]"` — full guided flow - `"Score this opportunity"` — qualification check - `"Help me price [project]"` — three-tier pricing builder - `"Review my proposal"` — quality scoring + improvements ## What Makes This Different The original `ai-proposal-generator` on ClawHub focuses on HTML templates and color themes — making proposals *look* nice. This skill focuses on making proposals **win**: - Qualification scoring so you don't waste time on bad-fit prospects - Value-based pricing frameworks (not just hourly rates) - Discovery-to-close methodology with follow-up sequences - Objection handling scripts for the conversations that happen *after* you send ## ⚡ Level Up — Context Packs Want industry-specific proposal templates, pricing benchmarks, and competitive positioning? - **[SaaS Context Pack](https://afrexai-cto.github.io/context-packs/)** — SaaS pricing models, churn benchmarks, expansion revenue strategies - **[Professional Services Pack](https://afrexai-cto.github.io/context-packs/)** — Cons...
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