Client Proposal Generator

SkillAI & models

Generates 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.

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 extraction
  • references/research.md -- Client web research checklist and research brief template
  • references/problem-and-solution.md -- Problem decomposition, methodology selection, phase and deliverable templates
  • references/timeline.md -- Duration estimation and timeline format
  • references/team.md -- Role framework and team section format
  • references/pricing.md -- Pricing models, 3-tier framework, rate benchmarks, calibration, payment terms
  • references/terms.md -- Standard terms and conditions block
  • references/output-template.md -- Full proposal document structure and delivery summary
  • references/tone-and-quality.md -- Tone variants, pre-delivery quality checklist, error handling

Workflow

  1. Gather input. Collect required fields (client name, contact, problem, firm name) and optional fields; infer the rest from context. See references/inputs.md.
  2. Research the client. Pull company overview, recent news, tech signals, industry context, and competitors; organize into a research brief. See references/research.md.
  3. 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.
  4. Construct the timeline. Estimate duration, lay out phases with milestones, and state dependencies and assumptions. See references/timeline.md.
  5. Compose the team. Map roles and allocations; use placeholder names if none provided and never fabricate credentials. See references/team.md.
  6. 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.
  7. Add terms and conditions. Insert the standard block, adjusting scope, IP, and assumptions to the engagement. See references/terms.md.
  8. Assemble and write the proposal. Combine all sections into the output structure and write the file. See references/output-template.md.
  9. Run the quality check. Verify accuracy, consistency, no placeholders, and no fabricated facts; match the selected tone. See references/tone-and-quality.md.
  10. 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