Research Protocol

Community

Aedelon

research-protocol

Conduct rigorous research with proper citations (DOI, arXiv, PMID) and source triangulation. MUST BE USED when user asks: "what is SOTA", "recent developments", "compare X vs Y", "is it true that", "research says", "latest papers on", "scientific evidence", "studies show", "state of the art", "literature review", "find papers", "academic research", "benchmark results", "who published", "when was X released", "current best", "what does the research say", "evidence for", "peer reviewed". Searches multiple sources, evaluates reliability, states confidence level. NOT for verifying API signatures (use anti-hallucination) or general web search (use WebSearch directly).

Overview

Publisher	Aedelon
Repository	`claude-code-blueprint`
Skill name	`research-protocol`
Stars	119
Forks	34
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by Aedelon on GitHub. Read the source before you install it.

Installation

Install the Research Protocol 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/Aedelon/claude-code-blueprint/tree/main/skills/research-protocol
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/Aedelon/claude-code-blueprint.git /tmp/claude-code-blueprint
mkdir -p .claude/skills
cp -r /tmp/claude-code-blueprint/skills/research-protocol .claude/skills/research-protocol

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

Use it in TypingMind

Enable Research Protocol 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 Protocol 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 Protocol 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 Protocol

Research Workflow


1. SCOPE    → Define question precisely
2. SEARCH   → Multiple sources, cross-reference
3. EVALUATE → Assess source reliability
4. SYNTHESIZE → Combine findings coherently
5. CITE     → Provide proper attribution
6. ASSESS   → State confidence level

Source Hierarchy

Priority	Source Type	Reliability	Citation Format
1	Peer-reviewed papers	Highest	[Author et al., Year] arXiv:XXXX
2	Official documentation	High	Docs [Library] vX.X
3	Conference proceedings	High	[Conf Year] Paper Title
4	Established tech blogs	Medium-High	[Org] Blog (Date)
5	GitHub repos with citations	Medium	GitHub [repo]
6	Stack Overflow (verified)	Medium	SO [answer-id]
7	General web content	Low	Mention skepticism

Search Strategy

For SOTA (State of the Art)


1. mcp__huggingface__get-daily-papers()  → Recent papers
2. WebSearch("[topic] SOTA 2024")
3. WebSearch("[topic] benchmark comparison")
4. mcp__huggingface__search-models(tags: "[task]")

For Specific Papers


1. WebSearch("paper title arxiv")
2. mcp__huggingface__get-paper-info(arxiv_id: "XXXX.XXXXX")

For Library/API Questions


1. mcp__context7__resolve-library-id() first
2. Then research protocol for context

Citation Formats

Academic Papers


[Author et al., Year] "Title" - arXiv:XXXX.XXXXX
[Author et al., Year] "Title" - DOI:10.XXXX/XXXXX
[Author et al., Year] "Title" - PMID:XXXXXXXX

Documentation


According to [Library] v[X.X] documentation: ...
According to [Framework] docs (2024): ...

Web Sources


According to [Source Name] (Date): ...
Per [Organization] blog (Month Year): ...

Confidence Assessment

Confidence	Criteria	Response Style
HIGH	3+ concordant sources, peer-reviewed	State as established fact
MEDIUM	1-2 reliable sources	Add "according to [source]" caveat
LOW	Conflicting sources	Present multiple views
UNKNOWN	No reliable sources	"I don't know"

Handling Conflicts

When sources disagree:

markdown
## Divergent Viewpoints

**Position A** (Source 1, Source 2):
[Description]

**Position B** (Source 3):
[Description]

**Assessment**: [Which seems more credible and why]

Output Format

markdown
## Summary

[Main findings - 3-5 lines max]

## Details

[Expanded information with inline citations]

## Sources

1. [Citation 1 with link/DOI]
2. [Citation 2 with link/DOI]
3. ...

## Confidence Level: [HIGH/MEDIUM/LOW]

[1-2 sentence justification]

## Limitations

- [What couldn't be verified]
- [Potential biases in sources]
- [Recency concerns if applicable]

Red Flags (Requires Extra Scrutiny)

Single source only
Source older than 2 years (for fast-moving fields)
Preprint without peer review
Corporate blog with potential bias
No citations in the source itself
Contradicts well-established knowledge

Research Triggers

Automatically engage this protocol when user asks about:

"What is the current SOTA for..."
"Recent developments in..."
"Compare X vs Y"
"Is it true that..."
"What does the research say about..."
"Latest papers on..."
Scientific claims without citation

Frequently asked questions

What does the Research Protocol AI skill do?

Why use Research Protocol on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Aedelon/claude-code-blueprint/tree/main/skills/research-protocol. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Research Protocol?

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 Protocol?

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

Is the Research Protocol AI skill free?

It is published on GitHub by Aedelon. Check the repository for licensing terms. 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

Research Protocol

Research Workflow

Source Hierarchy

Search Strategy

For SOTA (State of the Art)

For Specific Papers

For Library/API Questions

Citation Formats

Academic Papers

Documentation

Web Sources

Confidence Assessment

Handling Conflicts

Output Format

Red Flags (Requires Extra Scrutiny)

Research Triggers

Frequently asked questions

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