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Research Conventions

OrganizationPopular
ginlix-ai
research-conventions

The evidence, judgement, intake and market-data rules every research deliverable follows. Read before the first deliverable of a research task; when a number has no source; when two sources disagree; when a figure may be stale; when deciding what to ask the user; before any valuation, thesis or recommendation.

Overview

Publisherginlix-ai
RepositoryLangAlpha
Skill nameresearch-conventions
Stars
1.8K
Forks
288
Bundled files
5
LicenseApache-2.0
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.

  • 5 bundled files

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

  • Open source

    Published by ginlix-ai on GitHub. Read the source before you install it.

Installation

Install the Research Conventions 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.
  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/ginlix-ai/LangAlpha.git /tmp/LangAlpha
mkdir -p .claude/skills
cp -r /tmp/LangAlpha/plugins/langalpha_research/skills/research-conventions .claude/skills/research-conventions
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Research Conventions 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 Research Conventions 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 Research Conventions 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.

Research Conventions

The shared layer beneath every skill in this plugin. Each research skill says what to build; this one says what a figure has to carry, how far the evidence lets the language go, what is worth asking before starting, and how periods, windows and returns are computed. It holds those rules so no skill re-derives them: on evidence, judgement, intake and market-data mechanics this layer is the source of truth, and the calling skill owns what its deliverable contains.

Reference files

  • Any deliverable that prints a figure, a number with no source, two sources disagreeing, a figure that may be stale, or how densely to cite: .agents/skills/research-conventions/references/evidence.md.
  • A valuation, a thesis, a recommendation, a scenario set, or any section that ends in what to do: .agents/skills/research-conventions/references/judgment.md.
  • Before asking the user anything at the start of a task, and when deciding whether to ask at all: .agents/skills/research-conventions/references/intake.md.
  • Before the first market-data pull of anything that prints a period label, a multiple, a growth rate or a return: .agents/skills/research-conventions/references/market-data-rules.md.
  • Choosing how long a deliverable runs, a draft over its length band, or a request for a short version of something already built: .agents/skills/research-conventions/references/depth.md.

Readiness posture

Every deliverable states one posture, once, near the top, in the reader's language. Posture is about inputs, not conviction: a high-conviction view resting on stale inputs is not decision-grade, and saying so is what makes the rest of the artifact usable.

PostureHolds whenForced down by
decision-gradeevery load-bearing figure is sourced and inside its freshness threshold, the downside is mechanical, and the inputs the recommended action needs are in handone load-bearing figure that is stale, unsourced or contested
review-readythe analysis is complete and sourced, and one check or one input is still openan unresolved conflict on a load-bearing claim, or a check that fails
screen-gradecoverage or depth is deliberately thin and the artifact says soa headline conclusion that outruns the coverage behind it
not-readya load-bearing claim is unsupported, stale or contested with nothing settling it, and the conclusion rests on italready the floor for a claim problem; state what would lift it
blockedan input cannot be obtained at all (a tool failure, an undisclosed metric, a document we do not have)already the floor; name the missing input and what would unblock it

A posture below decision-grade names the specific figure or input responsible, so the reader can decide whether it matters to them. Posture is read from this table against the current input state, never stepped up or down from a previous value: when an input changes state, re-read the rows. This is the only readiness scale; a skill that needs a finer status for one of its objects labels that object, and the artifact still carries one posture from this table.

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 Research Conventions AI skill do?

The evidence, judgement, intake and market-data rules every research deliverable follows. Read before the first deliverable of a research task; when a number has no source; when two sources disagree; when a figure may be stale; when deciding what to ask the user; before any valuation, thesis or recommendation.

Why use Research Conventions on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_research/skills/research-conventions. 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 Research Conventions?

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 Research Conventions?

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

Is the Research Conventions AI skill free?

Yes. It is published on GitHub by ginlix-ai under the Apache-2.0 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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