Research Synthesis

Community

sgharlow

research-synthesis

Synthesize multiple sources — articles, reports, notes, transcripts — into one structured brief with themes, agreements, contradictions, and gaps. Use when the user says "synthesize this research", "combine these sources", "what do these articles agree on", or has a folder of collected material and needs one coherent picture.

Overview

Publisher	sgharlow
Repository	`claude-code-recipes`
Skill name	`research-synthesis`
Stars	393
Forks	50
Bundled files	1
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 sgharlow on GitHub. Read the source before you install it.

Installation

Install the Research Synthesis 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/sgharlow/claude-code-recipes/tree/main/skills/research-synthesis
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/sgharlow/claude-code-recipes.git /tmp/claude-code-recipes
mkdir -p .claude/skills
cp -r /tmp/claude-code-recipes/skills/research-synthesis .claude/skills/research-synthesis

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

Use it in TypingMind

Enable Research Synthesis 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 Synthesis 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 Synthesis 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 Synthesis

Merge a pile of sources into a single brief that shows where the sources agree, where they conflict, and what none of them answer. Synthesis is cross-source structure — not a stack of per-source summaries.

Steps

Inventory the sources: list every file or link the user provides with a one-line description and its type (primary data, reporting, opinion, marketing). Confirm the research question the synthesis must answer — without one, ask before reading further.
Read each source, capturing per source: its main claims, the evidence offered, its date, and any obvious bias or interest.
Build the synthesis across sources:
- Themes — 3–6 recurring threads, each citing which sources support it.
- Consensus — claims multiple independent sources agree on (note when "agreement" is really one origin quoted many times).
- Contradictions — where sources conflict, shown side by side with each side's evidence; do not silently resolve a conflict by picking a winner.
- Gaps — what the research question needs that no source answers.
- Bottom line — 3–5 sentences answering the research question, at the confidence the evidence actually supports.
Verify: every claim in the brief carries a source attribution; any claim traceable to only one source is marked single-source. If two sources' dates differ by years, flag which may be stale rather than averaging them.

Constraints

Never pad thin evidence into a confident conclusion — "the sources don't establish this" is a valid and often the correct bottom line.
Keep the brief under two pages; the per-source inventory goes in an appendix, not the body.

Full walkthrough, examples, and variations: recipes/Recipe-007-Research-Synthesis.md.

Bundled files

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

evals/synthesize.md1 KB

Frequently asked questions

What does the Research Synthesis AI skill do?

Why use Research Synthesis on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sgharlow/claude-code-recipes/tree/main/skills/research-synthesis. 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 Synthesis?

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 Synthesis?

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

Is the Research Synthesis AI skill free?

It is published on GitHub by sgharlow. 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 Synthesis

Steps

Constraints

Bundled files

Frequently asked questions

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