Proposal logo

Proposal

Organization
AlpacaLabsLLC
proposal

Draft and register project proposals, protect issued terms, and record explicitly evidenced commercial lifecycle changes. Sending messages is separate authorization.

Overview

PublisherAlpacaLabsLLC
Repositoryskills-for-architects
Skill nameproposal
Stars
386
Forks
81
Bundled files
4
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.

  • 4 bundled files

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

  • Open source

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

Installation

Install the 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/AlpacaLabsLLC/skills-for-architects/tree/main/skills/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/AlpacaLabsLLC/skills-for-architects.git /tmp/skills-for-architects
mkdir -p .claude/skills
cp -r /tmp/skills-for-architects/skills/proposal .claude/skills/proposal
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 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 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 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.

/as:proposal

Before acting, read the host contract, this component's declaration (skill:proposal), and applicable workspace semantics. Load only the required modes from the shared catalog.

Use the host adapter and available native tools or ordinary task-specific code. Operation names identify the semantic work in the workspace model, not installed functions or a script API. Resolve canonical context before durable work. No Arch Studio runner, package installation or executable reconstruction is required. Existing exact authorization persists; ask only for material missing information or missing permission.

Own documents of kind proposal. Resolve the project; never create a global proposal register. Use the proposal template, keeping exactly one nonempty issued-terms marker block. Capture normal-case title, date, explicit local revision, scope/fees/exclusions and user-selected terms. Unknowns remain TO CONFIRM; their presence is context, not an invented workflow gate. Use human Rev. NN and a safe received/authored filename; confirmed lineage uses supersedes.

Before changing records

Before persistent changes, follow the native mutation sequence: Inspect → Prepare → Verify preparation → Apply → Verify result → Complete. Inspect pending work first. Finish and verify preparation before the first canonical write: separately reread every saved original and prepared file, check its complete actual bytes, establish durable saving, and inspect actual permissions, ownership and ACLs. Merely writing recovery files does not finish verification. Apply only that verified set. Mark complete only after fresh readback validates the entire affected result and its relationships. Read-only requests and inline drafts need no publication sequence.

For proposal creation, prepare the complete proposal and DOCUMENTS.csv together, including destination absence. Lifecycle changes affect DOCUMENTS.csv; the proposal's actual raw bytes and issued-terms seal are read guards. Additional rendered outputs are separate registered documents with their own complete affected set. Do not publish a proposal first and prepare its register afterward.

The harness prepares the terms from authorized inputs and current applicable originals, then proposal.create registers the authored source under confirmed coordinates. Do not copy external clause libraries or portray local summaries as current legal authority. Assembled terms include: “These clauses are drafting guidance, not legal advice; have a licensed attorney review before signing.”

proposal.list/status/verify read the actual registered record and protected terms. proposal.send only records supplied send date/evidence and seals the exact issued terms; it never emails or uploads. proposal.set-status records accepted/declined/superseded with explicit evidence/date. Acceptance may seal a draft directly when an earlier send was not recorded; no mandatory proposal→agreement→invoice sequence is imposed. Never infer acceptance, payment or project status from activity.

Once sealed, changed terms require a new registered revision, not replacement of the stored checksum. Lifecycle evidence stays in registry history outside the issued block. Preserve malformed input and checksum failures without guessing repair. HTML letters may use a confirmed firm template or bundled proposal-letter template, but the registered Markdown terms remain canonical; register additional outputs as documents.

Agreement promotion cites the accepted proposal ID and protected checksum without copying it. Tasks/time/invoices and project facts retain their owners. Fresh readback and actual inspection support completion; a recorded send event does not prove that any message was actually sent.

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 AI skill do?

Draft and register project proposals, protect issued terms, and record explicitly evidenced commercial lifecycle changes. Sending messages is separate authorization.

Why use Proposal on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AlpacaLabsLLC/skills-for-architects/tree/main/skills/proposal. 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?

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?

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

Is the Proposal AI skill free?

Yes. It is published on GitHub by AlpacaLabsLLC 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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