Proposal Methods

Organization

Optima-CityU

proposal-methods

Use when translating established proposal objectives into research methods, a technical route, formal definitions, and an evaluation plan.

Overview

Publisher	Optima-CityU
Repository	`LLM4AD_Next`
Skill name	`proposal-methods`
Stars	596
Forks	41
Bundled files	1
License	BSD-3-Clause
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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Optima-CityU on GitHub. Read the source before you install it.

Installation

Install the Proposal Methods 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.
https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/openair-proposal/proposal-methods
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/openair-proposal/proposal-methods

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/Optima-CityU/LLM4AD_Next.git /tmp/LLM4AD_Next
mkdir -p .claude/skills
cp -r /tmp/LLM4AD_Next/skills/openair-proposal/proposal-methods .claude/skills/proposal-methods

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

Use it in TypingMind

Enable Proposal Methods 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 Methods 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 Methods 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 Research Methods

Use this skill only for the proposal methods stage. Write only sections/05-methods.typ.

Read the method reference completely before acting: references/research-methods.md.

You may read any project source file for context. You may modify only sections/05-methods.typ. Project documents are optional context. Their names describe their role; decide whether and when to read each one from the current stage and request. The presence of a project document does not make it mandatory input.

Workflow

The foundation, evidence, rationale, and objectives provide optional context for method design. Select the material needed to keep the proposed methods aligned and source-grounded.
Apply the technical-route, problem-modeling, mechanism-design, validation, notation, and risk methods from the reference.
Specify assumptions, inputs, procedure, evaluation evidence, failure conditions, and fallback paths at an appropriate level of technical depth.
Preserve mathematical notation and define every symbol consistently in Typst.
Use AskUserQuestion when the choice of method, data, experimental condition, or evaluation standard materially changes the project.
Do not claim unavailable data, equipment, results, or implementation maturity.
Write the Typst section, then call publish_stage_result from the enabled LLM4AD stage MCP server with the written path, summary, citation keys actually used, context_patch, and a stable idempotency key. Tool success is the stage-completion signal; repair and retry validation errors in the same conversation. Record any durable method boundary, author decision, resource fact, or other project-specific context newly established or corrected in this stage using model-defined blocks and stable keys. Return empty patch arrays when nothing changed.

Quality checks

The technical route is executable and directly addresses the objectives.
Evaluation criteria can distinguish success from failure.
Risks and assumptions are visible rather than hidden behind general language.
Citations exist in the project bibliography.

Bundled files

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

references/research-methods.md4 KB

Frequently asked questions

What does the Proposal Methods AI skill do?

Use when translating established proposal objectives into research methods, a technical route, formal definitions, and an evaluation plan.

Why use Proposal Methods on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/openair-proposal/proposal-methods. 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 Methods?

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 Methods?

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

Is the Proposal Methods AI skill free?

Yes. It is published on GitHub by Optima-CityU under the BSD-3-Clause 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Proposal Research Methods

Workflow

Quality checks

Bundled files

Frequently asked questions

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