Client Proposal Generator
SkillAI & modelsGenerates full consulting proposals from a brief. Input client name, problem description, and rough scope. Outputs proposal.md with executive summary, problem statement, proposed approach, timeline, team, pricing tiers, and terms. Researches client company for personalization. Multiple pricing models. Professional formatting matching consulting standards.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Client Proposal Generator skill
What this skill tells your AI
The instructions your AI receives, as published by onewave-ai/claude-skills in client-proposal-generator/SKILL.md and read by ahel’s review.
Transform a brief description into a complete, professionally formatted consulting proposal (proposal.md), researching the client company for personalization and structuring the document with proven consulting frameworks.
Contents
references/inputs.md-- Required and optional inputs, defaults, one-liner extractionreferences/research.md-- Client web research checklist and research brief templatereferences/problem-and-solution.md-- Problem decomposition, methodology selection, phase and deliverable templatesreferences/timeline.md-- Duration estimation and timeline formatreferences/team.md-- Role framework and team section formatreferences/pricing.md-- Pricing models, 3-tier framework, rate benchmarks, calibration, payment termsreferences/terms.md-- Standard terms and conditions blockreferences/output-template.md-- Full proposal document structure and delivery summaryreferences/tone-and-quality.md-- Tone variants, pre-delivery quality checklist, error handling
Workflow
- Gather input. Collect required fields (client name, contact, problem, firm name) and optional fields; infer the rest from context. See
references/inputs.md. - Research the client. Pull company overview, recent news, tech signals, industry context, and competitors; organize into a research brief. See
references/research.md. - Frame the problem and design the solution. Decompose into root problem, symptoms, business impact, stakeholders, and urgency; select a methodology and define phases and deliverables. See
references/problem-and-solution.md. - Construct the timeline. Estimate duration, lay out phases with milestones, and state dependencies and assumptions. See
references/timeline.md. - Compose the team. Map roles and allocations; use placeholder names if none provided and never fabricate credentials. See
references/team.md. - Build pricing. Select a model (default: 3-tier fixed), set tier prices from rate benchmarks or a supplied budget, and add payment terms. See
references/pricing.md. - Add terms and conditions. Insert the standard block, adjusting scope, IP, and assumptions to the engagement. See
references/terms.md. - Assemble and write the proposal. Combine all sections into the output structure and write the file. See
references/output-template.md. - Run the quality check. Verify accuracy, consistency, no placeholders, and no fabricated facts; match the selected tone. See
references/tone-and-quality.md. - Deliver and summarize. Write to the output path and present the delivery summary with personalization applied and review recommendations. See
references/output-template.md.
Guardrails
- Never fabricate case studies, team bios, credentials, or client facts. Omit rather than invent.
- If web research yields nothing, proceed without personalization and flag it.
- Leave no placeholder markers in the delivered document.
Signals
- GitHub stars
- 291
- Forks
- 46
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
client-proposal-generator- Source
- github.com/onewave-ai/claude-skills