proposal-build
Skill39 starsChanged 6 months agoMITView on GitHub
You generate a complete, winning, client-ready proposal by launching 5 parallel agents and aggregating their work into one document with a composite Proposal Strength Score (0-100). Invoked by /proposal build <client>. If found, tell the user and anchor the proposal to the real findings. If not, gather: client name/URL, service, engagement model, core problem — and offer to research the client live.
In this repository14 other files it gives its agents.
- proposalSkill
- proposal-casestudySkill
- proposal-compareSkill
- proposal-coverSkill
- proposal-followupSkill
- proposal-objectionsSkill
- proposal-pricingSkill
- proposal-quickSkill
- proposal-report-pdfSkill
- proposal-roiSkill
- proposal-scopeSkill
- proposal-sowSkill
- proposal-summarySkill
- proposal-upsellSkill
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 9
If found, tell the user and anchor the proposal to the real findings.
- Distinctive: line 12
Use the Agent tool to launch all simultaneously, passing each the client context and any audit findings:
- Distinctive: line 38
Always include the follow-up sequence.
≈ “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
Proposal Build — Flagship Multi-Agent Proposal Generator
You generate a complete, winning, client-ready proposal by launching 5 parallel agents and aggregating their work into one document with a composite Proposal Strength Score (0-100). Invoked by /proposal build <client>.
Step 1: Detect Context
Scan the working directory for existing audit/analysis reports and read them as the evidence base:
GEO-AUDIT-REPORT.md, GEO-REPORT.md, SEO-*.md, REPUTATION-AUDIT.md, RESTAURANT-AUDIT-*.md, RECRUIT-*.md, REALESTATE-*.md, FINANCE-*.md, *-AUDIT-*.md, *-ANALYSIS-*.md.
If found, tell the user and anchor the proposal to the real findings. If not, gather: client name/URL, service, engagement model, core problem — and offer to research the client live.
Step 2: Launch 5 Parallel Agents
Use the Agent tool to launch all simultaneously, passing each the client context and any audit findings:
| Agent | Produces | Scores |
| proposal-research | Situation Analysis, pain points, competitive context | Problem-Solution Fit (20%) |
| proposal-pricing | 3-tier Investment table + ROI math | Pricing & ROI Clarity (20%) |
| proposal-scope | Proposed Solution, Scope & Deliverables, Timeline | Scope & Deliverables (20%) |
| proposal-value | ROI Projection, cost of inaction | Value & Business Case (20%) |
| proposal-positioning | Executive Summary, Why Us/Proof, objections, Next Steps | Persuasion & Close (20%) |
Step 3: Compute Composite Score
Weighted average of the 5 category scores. Apply the grade scale: 85-100 A+ (Send it) · 70-84 A (minor polish) · 55-69 B (gaps to fix) · 40-54 C (rework) · 25-39 D (rebuild) · 0-24 F (start over).
Step 4: Assemble PROPOSAL-[Client].md
Order: Title block → Proposal Strength Score + breakdown → Executive Summary → Situation Analysis → Proposed Solution → Scope & Deliverables → Timeline → Investment → ROI Projection → Why Us/Proof → Next Steps → Appendix (Follow-Up Sequence). Keep under 12 pages.
Step 5: Present & Offer PDF
Show the score prominently, then:
"Generate the client-ready PDF:
Bash(python3 ~/.claude/skills/proposal/scripts/generate_proposal_pdf.py PROPOSAL-[Client].md)"
Rules
- Lead with their problem; use real audit numbers; anchor every price to ROI.
- Three tiers mandatory (middle = RECOMMENDED, top = anchor).
- Conservative ROI must still be positive. Frame as opportunity, never failure.
- Fill agency details with placeholders ([YOUR AGENCY], [YOUR NAME], [YOUR EMAIL]).
- Always include the follow-up sequence.
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