Deep Research

Community

Rylaispirit

deep-research

Conduct systematic source-backed research with scoped questions, triangulation, contradiction handling, and citation-ready synthesis.

Overview

Publisher	Rylaispirit
Repository	`rylai-codex-hermes-skills`
Skill name	`deep-research`
Stars	63
Forks	42
Bundled files	1
License	MIT
Links	Skill source Repository

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 Rylaispirit on GitHub. Read the source before you install it.

Installation

Install the Deep Research 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/Rylaispirit/rylai-codex-hermes-skills/tree/main/skills/deep-research
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.

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/Rylaispirit/rylai-codex-hermes-skills.git /tmp/rylai-codex-hermes-skills
mkdir -p .claude/skills
cp -r /tmp/rylai-codex-hermes-skills/skills/deep-research .claude/skills/deep-research

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

Use it in TypingMind

Enable Deep Research 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 Deep Research 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 Deep Research 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.

Rylai Codex-Hermes-Claude Edition | Original portable workflow by Rylai

Runtime Compatibility

Codex: install under ~/.agents/skills/deep-research.
Hermes: install under ~/.hermes/skills/deep-research or expose the bundle through skills.external_dirs.
Claude Code: install under ~/.claude/skills/deep-research or <project>/.claude/skills/deep-research.
Claude.ai and Cowork: upload and enable the matching per-skill ZIP.
Resolve bundled files relative to this skill directory; do not depend on paths from another machine.
Check tools, packages, credentials, network access, and runtime capabilities before execution.

Portable Deep Research

Produce a source-backed answer to a question that genuinely needs multi-source research.

Workflow

Define the research question, scope, date boundary, audience, and decision the report should support.
Break the question into independent sub-questions and identify preferred primary sources.
Search broadly, then open and inspect the most relevant sources.
Use parallel research agents only when the runtime exposes delegation and the subtasks are independent.
Build an evidence table containing claim, source, date, confidence, and contradiction notes.
Triangulate important claims and explain disagreements instead of silently selecting one source.
Synthesize the answer with citations attached to the claims they support.
State unresolved gaps, stale evidence, and inference separately from verified fact.

Boundaries

Ask a clarification question only when ambiguity materially changes the research result.
Never invent a citation, quote, URL, statistic, publication date, or source conclusion.
For current topics, verify freshness at execution time.

Bundled files

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

agents/openai.yaml1 KB

Frequently asked questions

What does the Deep Research AI skill do?

Conduct systematic source-backed research with scoped questions, triangulation, contradiction handling, and citation-ready synthesis.

Why use Deep Research on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Rylaispirit/rylai-codex-hermes-skills/tree/main/skills/deep-research. 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 Deep Research?

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 Deep Research?

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

Is the Deep Research AI skill free?

Yes. It is published on GitHub by Rylaispirit 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Runtime Compatibility

Portable Deep Research

Workflow

Boundaries

Bundled files

Frequently asked questions

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