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Proposal Development

Community
anotb
proposal-development

Develop consulting pursuits, RFP responses, proposals, statements of work, value propositions, and pitch decks. Use for winning and scoping an engagement; use client-deliverables when available for reports and presentations during delivery.

Overview

Publisheranotb
Repositorymanagement-consulting-plugin
Skill nameproposal-development
Stars
62
Forks
9
Bundled files
2
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Proposal Development 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/anotb/management-consulting-plugin/tree/main/skills/proposal-development
  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/anotb/management-consulting-plugin.git /tmp/management-consulting-plugin
mkdir -p .claude/skills
cp -r /tmp/management-consulting-plugin/skills/proposal-development .claude/skills/proposal-development
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Proposal Development 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 Proposal Development 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 Proposal Development 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.

Proposal Development

Produce a persuasive, compliant proposal for the client's specific buying decision. Start at the requested stage: opportunity assessment, win themes, proposal, SOW, or oral presentation. Do not require qualification of an already approved pursuit or recreate a signed agreement when the request is for a limited edit.

Use the RFP, conversation notes, firm credentials, staffing, and commercial inputs provided. Preserve mandatory format, section order, page limits, and submission requirements. Complete supported sections and flag missing credentials or inputs precisely. Do not invent client results, team members, certifications, competitor intelligence, references, or outcome percentages.

Understand the buying decision

Distinguish must-pass requirements from scored criteria and inferred preferences. Record submission deadlines, format, mandatory attachments, eligibility, evaluation weights, and clarification procedures. Trace each material requirement to its source, response location, evidence, owner, and completion status. A persuasive response that fails a mandatory requirement may be unusable.

For qualification when requested, assess fit, capability, capacity, economics, strategic value, and the cost of pursuit. State the basis for a go/no-go recommendation. Do not invent win probabilities or conclude that a deal is wired from one unusual requirement; identify evidence and questions to test that concern.

Develop win themes from the client's priorities and proof the firm can substantiate. A differentiator explains why this team or approach fits this problem and what evidence supports it. Conditional wording does not justify an unsupported savings range or implied track record.

Draft the requested artifact

For a proposal, connect the client's challenge to approach, deliverables, outcomes, team, evidence, investment, assumptions, and next decision. Adapt this arc to the required response order. Write the executive summary against the completed proposal so it reflects the actual scope and terms.

For a SOW, use proposal and SOW mechanics. Define boundaries, acceptance, client obligations, dependencies, pricing basis, and change control. Respect supplied contract terms and distinguish proposed provisions from agreed terms. Do not impose deemed acceptance, liability caps, or signature requirements as universal rules.

For a pitch or oral defense, use pitch deck. Preserve the time slot, audience, and decision objective. For pricing, engagement-pricing can help when available, but this skill remains usable independently.

Persuasion and evidence

State the outcome and how the approach could achieve it. Separate delivery commitments from forecast business benefits that depend on client action or external conditions. Use relevant real cases, with permitted attribution, and accurately label hypothetical examples. A missing proof point can remain a specific draft marker; do not fill it with fabricated prose to make the document look finished.

Address supported objections and material risks. Explain what the client must provide and the trade-off being proposed. Avoid generic capability claims, unsupported superlatives, and a menu of services unrelated to the request.

Complete and check

Deliver the proposal, SOW, pitch, or assessment requested. When a file is requested, use available document or presentation tools and format skills if present; no particular host or plugin is required. Check the saved artifact and rendered layout when tools allow.

Verify requirement coverage, section and page constraints, consistency of scope, dates, staffing and fees, substantiation of credentials, and visibility of unresolved items. Check arithmetic with available tools. Preparing a response does not authorize submitting it, contacting the buyer, or agreeing terms. State the material gaps that prevent the draft from being submitted as-is.

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 Proposal Development AI skill do?

Develop consulting pursuits, RFP responses, proposals, statements of work, value propositions, and pitch decks. Use for winning and scoping an engagement; use client-deliverables when available for reports and presentations during delivery.

Why use Proposal Development on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anotb/management-consulting-plugin/tree/main/skills/proposal-development. 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 Proposal Development?

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 Proposal Development?

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

Is the Proposal Development AI skill free?

Yes. It is published on GitHub by anotb 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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