Client Proposal Generator

Organization

OneWave-AI

client-proposal-generator

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.

Overview

Publisher	OneWave-AI
Repository	`claude-skills`
Skill name	`client-proposal-generator`
Stars	293
Forks	49
Bundled files	9
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
9 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by OneWave-AI on GitHub. Read the source before you install it.

Installation

Install the Client Proposal Generator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/client-proposal-generator .claude/skills/client-proposal-generator

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Client Proposal Generator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Client Proposal Generator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Client Proposal Generator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Client Proposal Generator

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.

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

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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Client Proposal Generator AI skill do?

Why use Client Proposal Generator on TypingMind?

Because you install it once and use it with any model. Client Proposal Generator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Client Proposal Generator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OneWave-AI/claude-skills/tree/main/client-proposal-generator. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Client Proposal Generator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Client Proposal Generator?

As many as you like. As long as a model supports skills, you can use Client Proposal Generator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Client Proposal Generator AI skill free?

Yes. It is published on GitHub by OneWave-AI under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Client Proposal Generator

Overview