Agent skill

Research Synthesis

by poemswe in poemswe/co-researcher

You must use this when merging findings from multiple studies into a coherent narrative with grounded evidence.

MITAuto-check passedResearch & Science

Install Research Synthesis

skills CLI
$ npx skills add poemswe/co-researcher --skill research-synthesis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install poemswe/co-researcher research-synthesis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/poemswe/co-researcher.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research-synthesis .claude/skills/research-synthesis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
research-synthesis
GitHub stars
130
Token cost
~956 tokens
SKILL.md length
413 words
Files
1
Skills in repo
15
Repo updated
First seen
Licence
MIT

At a glance

You must use this when merging findings from multiple studies into a coherent narrative with grounded evidence.

  • Works in 3 steps: Cross-Source Comparison → Evidentiary Weighting → Executive Summarization
  • Tasks that involve User research
  • SKILL.md covers 1. Cross-Source Comparison, 2. Evidentiary Weighting and 3. Executive Summarization
  • Calls uv

What it does

Research Synthesis is an agent skill from poemswe/co-researcher. You must use this when merging findings from multiple studies into a coherent narrative with grounded evidence.

Its SKILL.md is about 960 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering User research and Academic paper search. The repository describes itself as: A professional research suite for conducting rigorous academic research using specialized agents and multi-platform CLI commands. Compatible with Claude Code, Gemini CLI, OpenAI… The licence is MIT.

When your agent uses it

  • Tasks that involve User research
  • Tasks that involve Academic paper search

Example prompts

  • “/research-synthesis”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Cross-Source Comparison
  2. Evidentiary Weighting
  3. Executive Summarization

What it can do on your machine

Read from SKILL.md and the folder at commit 28c966f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Research Synthesis loads about 956 tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 413 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~33
When it runs · the whole SKILL.md, loaded when a task matches
~956

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from poemswe/co-researcher at commit 28c966f, republished under its MIT licence (© poemswe). 413 words, ~956 tokens.

Download SKILL.mdSave it as .claude/skills/research-synthesis/SKILL.md (or your agent's skills folder).
name
research-synthesis
description
You must use this when merging findings from multiple studies into a coherent narrative with grounded evidence.
tools
WebSearch, WebFetch, Bash, Read, Grep, Glob
<role>
You are a PhD-level research synthesizer specializing in high-level evidentiary integration. Your goal is to merge fragmented findings from multiple sources into a unified, coherent, and highly technical narrative that explicitly accounts for scientific uncertainty and methodological diversity.
</role>
<principles>
- **Cohesion without Distortion**: Create a unified narrative while respecting the nuances of individual sources.
- **Evidence-First**: Every synthesis claim must list the supporting sources (e.g., "Source A and B agree, while C differs").
- **Uncertainty Quantification**: Use calibrated language for confidence levels (e.g., "High Confidence", "Emerging Evidence", "Contested").
- **Factual Integrity**: Never fabricate sources or cross-source relationships.
</principles>
<competencies>

1. Cross-Source Comparison

  • Agreement Mapping: Identifying points of scientific consensus.
  • Disagreement Analysis: Tracing contradictions to differences in methodology, population, or context.
  • Holistic Integration: Combining qualitative insights with quantitative metrics.

2. Evidentiary Weighting

  • Quality Weighting: Giving more "vote" to rigorous, peer-reviewed, or large-scale studies.
  • Relevance Tuning: Prioritizing evidence that most directly addresses the synthesis goal.

3. Executive Summarization

  • Technical Precision: Summarizing for a specialized audience without losing crucial caveats.
  • Actionable Insights: Distilling complex data into clear implications or next research steps.
</competencies>

<source_resolution> For scholarly sources, use the database backends owned by the literature-review skill instead of trusting web search results: uv run <literature-review-dir>/scripts/openalex_cli.py (metadata, citation counts), europepmc_api.py (life-science full text), search_arxiv.py (preprints), read_paper.py (full text for any DOI/arXiv/PMCID). Before integrating a source, resolve its DOI or exact title through OpenAlex or Europe PMC; a source that cannot be resolved is labeled "unverified" or dropped, never silently kept. Prerequisite uv: see the literature-review skill's <search_backend> section for setup and invocation details. </source_resolution>

Show full SKILL.md (155 more words)Show less
<protocol>
1. **Inbound Evaluation**: Assess the quality and focus of each provided/found source.
2. **Theme Identification**: Group findings into emergent conceptual clusters.
3. **Cross-Validation**: Check every claim against multiple sources for robustness.
4. **Confidence Calibration**: Assign confidence levels based on evidentiary strength and consistency.
5. **Narrative Construction**: Write the final synthesis in a professional, academic tone.
</protocol>

<output_format>

Evidentiary Synthesis: [Topic]

Synthesis Scope: [N sources integrated]

Executive Conclusion: [High-level summary of findings]

Synthesis by Theme:

  • [Theme 1]: [Integrated narrative + Citations + Confidence level]
  • [Theme 2]: [Integrated narrative + Citations + Confidence level]

Evidentiary Discord:

  • [Point of Conflict]: [Source A vs. Source B breakdown + potential reasons]

Confidence Summary:

ThemeConfidenceBasis
[T][Low/Med/High][Consistency/Quality]
</output_format>
<checkpoint>
After the synthesis, ask:
- Should I explore the reasons behind the reported conflicts in more detail?
- Do you need an "Implications for Practice" section based on this synthesis?
- Should I search for an additional source to break the tie on [specific point]?
</checkpoint>

© poemswe, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/research-synthesis of poemswe/co-researcher.

Open the folder on GitHubat commit 28c966f

Compare with similar skills

Research Synthesis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Research Synthesis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Research Synthesis this skillpoemswe/co-researcher130—~956Automated safety check: PassMIT
Read arXiv Paperkarpathy/nanochat59k1 repos~494Automated safety check: PassMIT
Perplexity Web Searchdavila7/claude-code-templates33k11 repos~3.5kAutomated safety check: NotesMIT
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Openalex Databaseneflibata-feng/MyArxiv-Agent12612 repos~3kAutomated safety check: PassCustom licence
Citation ManagementK-Dense-AI/claude-scientific-writer2.4k2 repos~3.9kAutomated safety check: NotesMIT

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More from poemswe/co-researcher

All 15 skills in this repo
  • Literature Review

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    You must use this when synthesizing existing knowledge, identifying research gaps, or tracing the evolution of scientific ideas.

    130 GitHub stars~6k tokensUpdated today
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  • Research Manager

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    Use this when starting a new research project or managing a complex, multi-step research workflow.

    130 GitHub stars~1.1k tokensUpdated today
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  • Academic Writing

    poemswe/co-researcher

    You must use this when producing any research prose — literature reviews, syntheses, analyses, methodology descriptions, discussion sections, abstracts, or any written output intended for an…

    130 GitHub stars~2.8k tokensUpdated today
    Auto-check passed
  • Critical Analysis

    poemswe/co-researcher

    You must use this when analyzing claims, evaluating evidence, or Identifying logical fallacies in research.

    130 GitHub stars~781 tokensUpdated today
    Auto-check passed
  • Ethics Review

    poemswe/co-researcher

    You must use this when identifying ethical risks, ensuring participant privacy, or preparing IRB applications.

    130 GitHub stars~809 tokensUpdated today
    Auto-check passed
  • Grant Writing

    poemswe/co-researcher

    You must use this when drafting grant proposals, refining research aims, or aligning projects with agency priorities.

    130 GitHub stars~815 tokensUpdated today
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Questions about Research Synthesis

What does Research Synthesis do?

You must use this when merging findings from multiple studies into a coherent narrative with grounded evidence. Research Synthesis is an agent skill from poemswe/co-researcher. You must use this when merging findings from multiple studies into a coherent narrative with grounded evidence.

When should I use Research Synthesis?

Research Synthesis fits situations like: tasks that involve User research; tasks that involve Academic paper search.

How do I install Research Synthesis in Claude Code?

Run `npx skills add poemswe/co-researcher --skill research-synthesis -a claude-code`. Or copy the skill folder (skills/research-synthesis in poemswe/co-researcher) into .claude/skills/research-synthesis in your project. Claude Code loads it when a task matches its description.

How do I install Research Synthesis in Codex?

Run `npx skills add poemswe/co-researcher --skill research-synthesis -a codex`. Or copy the skill folder (skills/research-synthesis in poemswe/co-researcher) into .agents/skills/research-synthesis in your project. Codex loads it when a task matches its description.

Can I use Research Synthesis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add poemswe/co-researcher --skill research-synthesis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research-synthesis, .gemini/skills/research-synthesis, .github/skills/research-synthesis and .opencode/skills/research-synthesis in your project.

What does Research Synthesis need to run?

Going by SKILL.md and its folder, Research Synthesis needs the command-line tools its instructions call (uv).

Does Research Synthesis access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Research Synthesis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Research Synthesis use?

Research Synthesis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Research Synthesis use?

About 956 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Research Synthesis?

Skills that share tags, products or a category with Research Synthesis: Read arXiv Paper (karpathy/nanochat, 59k stars), Perplexity Web Search (davila7/claude-code-templates, 33k stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars) and Openalex Database (neflibata-feng/MyArxiv-Agent, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Research Synthesis?

poemswe (a GitHub user) maintains it in poemswe/co-researcher, which has 130 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 10, 2026.

Source: poemswe/co-researcher on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.