Client Proposal logo

Client Proposal

Community
indranilbanerjee
client-proposal

Draft a client proposal or RFP response: scope, deliverables, KPIs, pricing tiers. "respond to this RFP"

Overview

Publisherindranilbanerjee
Repositorydigital-marketing-pro
Skill nameclient-proposal
Stars
866
Forks
138
Bundled files
Instructions only
LicenseMIT
Links
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by indranilbanerjee on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/client-proposal
  4. 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.
2

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/indranilbanerjee/digital-marketing-pro.git /tmp/digital-marketing-pro
mkdir -p .claude/skills
cp -r /tmp/digital-marketing-pro/skills/client-proposal .claude/skills/client-proposal
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Client Proposal 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 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 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.

/digital-marketing-pro:client-proposal

Purpose

Generate a professional marketing agency proposal or pitch document for a prospective client. Covers strategic analysis, service scope, deliverables, pricing, and team positioning to win new business or formalize an existing engagement with a polished, ready-to-customize document.

Input Required

The user must provide (or will be prompted for):

  • Client business name and industry: Who the proposal is for and their vertical/market segment
  • Services requested: Which marketing services are in scope (SEO, PPC, social, content, email, strategy, creative, analytics, etc.)
  • Estimated budget range: Client's stated or expected budget for marketing services (monthly or annual)
  • Timeline: Engagement duration — 3-month pilot, 6-month contract, 12-month retainer, or project-based with defined milestones
  • Key challenges/goals: What the client is trying to achieve, problems they need solved, or opportunities they want to capture
  • Competitive context: Key competitors, market pressures, or differentiation challenges the client faces
  • Decision criteria: What matters most to the client — price, expertise, speed, industry experience, team size, or technology
  • Proposal format: Full written proposal, pitch deck outline, or scope-of-work document
  • Existing relationship: New prospect, referral, existing client expansion, or RFP response
  • Internal team available: Agency team members who would staff the account (for team bio section)

Process

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply brand voice, compliance rules for target markets (skills/context-engine/compliance-rules.md), and industry context. The loaded brand should be the agency brand — the proposal will be written from the agency's perspective. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load restrictions and relevant category files. Check for custom templates at ~/.claude-marketing/brands/{slug}/templates/. Check for agency SOPs at ~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults.
  2. Research client industry benchmarks: Pull relevant industry performance data, typical marketing spend ratios, competitive landscape patterns, and common pain points for the client's vertical
  3. Define proposed scope of services: Map requested services to specific deliverables, ownership (agency vs. client), frequency, and dependencies between service lines
  4. Build deliverables matrix with timelines: Create a detailed breakdown of every deliverable, its cadence (weekly, monthly, quarterly), responsible party, and approval workflow
  5. Create KPI framework with realistic targets: Set measurable goals for each service line — baseline assumptions, 90-day targets, 6-month targets, and stretch goals tied to business outcomes
  6. Design pricing structure: Develop 2-3 pricing options — retainer-based, project-based, or performance-based models with clear scope boundaries, overage terms, and upgrade paths
  7. Include case study references: Frame placeholders for relevant case studies or past results that demonstrate capability in the client's industry, service area, or challenge type
  8. Draft executive summary: Write a compelling 1-page overview that connects the client's specific challenges to the proposed solution and expected outcomes
  9. Build team and process overview: Outline the account team structure, communication cadence (weekly calls, monthly reports, quarterly reviews), reporting rhythm, and escalation process
  10. Include terms and conditions framework: Draft standard engagement terms covering scope change process, payment terms, IP ownership, confidentiality, data handling, performance guarantees, and termination clauses
  11. Add competitive differentiation: Articulate why the agency is the right choice based on the client's stated decision criteria — without naming competitors directly

Output

A structured client proposal document containing:

  • Executive summary: Client challenges, proposed approach, and expected outcomes in a compelling 1-page overview
  • Situation analysis: Client's current state, competitive landscape, market opportunity, and key assumptions
  • Proposed strategy: High-level strategic approach connecting services to business goals with a clear theory of change
  • Scope of services: Detailed service descriptions with deliverables, frequency, ownership matrix, and exclusions
  • Deliverables timeline: Month-by-month or phase-by-phase deliverable schedule with milestones and review gates
  • KPI targets: Measurable success metrics per service line with baseline, target, and stretch goals
  • Pricing options: 2-3 pricing tiers or models with clear scope definitions, add-on options, and payment schedule
  • Team bios section: Account team structure with role descriptions and placeholder bios to be filled with actual team members
  • Case study framework: Structured placeholders for 2-3 relevant past engagements showing challenge, approach, and results
  • Terms outline: Standard engagement terms covering scope, payment, IP, confidentiality, data, and termination
  • Next steps: Clear action items with dates for moving from proposal to signed engagement
  • Investment justification: ROI framework showing how the proposed services connect to measurable business outcomes
  • Risk and assumptions: Key assumptions underpinning projections and risks that could affect delivery or results

Agents Used

  • marketing-strategist — Strategic positioning, service scoping, KPI framework, competitive analysis, proposal narrative, industry benchmarking

Frequently asked questions

What does the Client Proposal AI skill do?

Draft a client proposal or RFP response: scope, deliverables, KPIs, pricing tiers. "respond to this RFP"

Why use Client Proposal on TypingMind?

Because you install it once and use it with any model. Client Proposal 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 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/client-proposal. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Client Proposal?

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?

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

Is the Client Proposal AI skill free?

Yes. It is published on GitHub by indranilbanerjee 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇