Helps you draft scientific papers, literature reviews, grant proposals and slides, with literature search and checked citations, so you spend less time on formatting and reference handling. Also covers Word documents and image generation.
Claude Code
> /plugin marketplace add K-Dense-AI/claude-scientific-writer> /plugin install claude-scientific-writer@claude-scientific-writer
Codex
$ npx skills add K-Dense-AI/claude-scientific-writer -a codex
Cursor
$ npx skills add K-Dense-AI/claude-scientific-writer -a cursor
Gemini CLI
$ npx skills add K-Dense-AI/claude-scientific-writer -a gemini-cli
GitHub Copilot
$ copilot plugin marketplace add K-Dense-AI/claude-scientific-writer$ copilot plugin install claude-scientific-writer@claude-scientific-writer
OpenCode
$ npx skills add K-Dense-AI/claude-scientific-writer -a opencode
Windsurf
$ npx skills add K-Dense-AI/claude-scientific-writer -a windsurf
🚀 Looking for more advanced capabilities? For end-to-end scientific writing, deep scientific search, advanced image generation and enterprise solutions, visit www.k-dense.ai
Stay up to date: Read the K-Dense blog, and follow us on X, LinkedIn, and YouTube for new features, release announcements, walkthroughs, research workflow demos, and examples you can use with Scientific Writer. See From the K-Dense Blog for posts that map to this tool.
🎬 Prefer to watch first? The Open Source, Locally-Hosted Scientific Writer Workflow shows the writer researching and drafting a paper end to end. More walkthroughs on the K-Dense YouTube channel.
A deep research and writing tool that combines the power of AI-driven deep research with well-formatted written outputs. Generate publication-ready scientific papers, reports, posters, grant proposals, literature reviews, and more academic documents—all backed by real-time literature search and verified citations.
Scientific Writer performs comprehensive research before writing, ensuring every claim is supported by real, verifiable sources. Features include real-time research lookup through Parallel Search and Extract, intelligent paper detection, comprehensive document conversion, and AI-powered diagram generation. You can use it as a Claude Code plugin, Python package, or native CLI. The announcement post, Claude Scientific Writer: Our Open Source Tool for AI-Powered Research Writing, covers why we built it and what it produces.
parallel-cli login) or PARALLEL_API_KEYpdflatex, bibtex, and preferably latexmk)The easiest way to use Scientific Writer is as a Claude Code plugin. See the Plugin Installation section below.
pip install scientific-writer
# Optional bundled-script runtimes
pip install "scientific-writer[analysis]" # cohort statistics and survival analysis
pip install "scientific-writer[office]" # DOCX/PPTX/XLSX and MarkItDown helpers
git clone https://github.com/K-Dense-AI/claude-scientific-writer.git
cd claude-scientific-writer
uv sync
# .env file (recommended) — see .env.example for the full list
echo "ANTHROPIC_API_KEY=your_key" > .env
echo "PARALLEL_API_KEY=your_parallel_key" >> .env # research lookup and web search
echo "OPENROUTER_API_KEY=your_openrouter_key" >> .env # optional: AI image generation
# or export in your shell
export ANTHROPIC_API_KEY='your_key'
Install and authenticate the research CLI when it is not already available:
uv tool install "parallel-web-tools[cli]==0.7.1"
parallel-cli login
parallel-cli auth
After installing the plugin and running /claude-scientific-writer:scientific-writer-init, simply ask Claude:
> Create a Nature paper on CRISPR gene editing. Present experimental_data.csv
(efficiency across 5 cell lines), include Western_blot.png and flow_cytometry.png
showing 87% editing efficiency (p<0.001). Compare with literature benchmarks.
> Generate an NSF grant proposal presenting preliminary data from quantum_results.csv
(99.2% gate fidelity), circuit_topology.png, and error_rates.csv.
Include 5-year timeline with milestones_budget.xlsx.
> @research-lookup Find papers on mRNA vaccine efficacy (2022-2024). Compare
with our trial_outcomes.csv (n=500, 94% efficacy) and antibody_titers.png.
# If installed via pip
scientific-writer
scientific-writer --effort high
# If installed from source with uv
uv run scientific-writer
Use scientific-writer --help for permission, budget, token-usage, and input-consumption controls. Input files are preserved by default; --consume-inputs explicitly removes them after a successful copy.
import asyncio
from scientific_writer import generate_paper
async def main():
# Detailed prompt with specific data and figures
async for update in generate_paper(
query=(
"Create a Nature paper on CRISPR gene editing. "
"Present editing_efficiency.csv (5 cell lines, n=200 cells each). "
"Include Western blot (protein_knockout.png) showing target depletion, "
"flow cytometry data (editing_percentages.png) with 87% efficiency in HEK293, "
"and off_target_analysis.csv showing <0.1% off-target effects. "
"Compare results to published Cas9 benchmarks (typically 70-75% efficiency)."
),
data_files=[
"editing_efficiency.csv",
"protein_knockout.png",
"editing_percentages.png",
"off_target_analysis.csv"
]
):
if update["type"] == "text":
print(update["content"], end="", flush=True)
elif update["type"] == "progress":
print(f"[{update['stage']}] {update['message']}")
elif update["type"] == "result":
print(f"✓ PDF: {update['files']['pdf_final']}")
print(f" Figures: {len(update['files']['figures'])} included")
asyncio.run(main())
Scientific Writer works best as a Claude Code (Cursor) plugin, providing seamless access to all scientific writing capabilities directly in your IDE. No CLI required!
Add the plugin marketplace in Claude Code:
/plugin marketplace add https://github.com/K-Dense-AI/claude-scientific-writer
Install the plugin:
/plugin install claude-scientific-writer
Restart Claude Code when prompted.
Initialize in your project:
/claude-scientific-writer:scientific-writer-init
This creates a CLAUDE.md file with comprehensive scientific writing instructions and makes all 26 selected skills available.
Start using immediately:
# Create papers with data and figures
> Create a Nature paper on CRISPR gene editing. Present knockout_efficiency.csv
(5 cell lines tested), include Western blot (protein_levels.png) and flow
cytometry data (editing_rates.png). Highlight 87% efficiency in HEK293 cells.
> Write an NSF grant proposal for quantum computing. Present preliminary results
from gate_fidelity.csv (99.2% fidelity), include circuit_diagram.png and
error_analysis.png. Compare to state-of-art 95% baseline.
> Generate conference poster. Feature results from clinical_trial.csv
(n=150), survival_curves.png, biomarker_heatmap.png, and mechanism_diagram.svg.
# Use specific skills with research data
> @research-lookup Find papers on mRNA vaccine efficacy (2022-2024). Compare
with our trial_data.csv showing 94% efficacy and antibody_titers.xlsx.
> @peer-review Evaluate this manuscript. Reference sample size in methods.csv
(n=30) and effect_sizes.png. Assess if statistical power is adequate.
> @clinical-reports Create case report for autoimmune disorder. Include patient_labs.xlsx
(6 months data), MRI_scans/ folder, treatment_timeline.csv showing response.
When installed as a plugin, you get instant access to a reproducible subset of K-Dense-AI/scientific-agent-skills, pinned in skills.lock.json. Background on the skills model is in Agent Skills: The Final Piece for AI-Powered Scientific Research and K-Dense Web vs Scientific Agent Skills. Read Security in the Science Agent Era before installing skills in a lab environment.
scientific-schematics - AI diagram generation with Nano Banana 2 (CONSORT, neural networks, pathways); see Benchmarking Nano Banana 2 Lite for Scientific Image Generationresearch-lookup - Real-time literature searchpeer-review - Systematic manuscript evaluationcitation-management - BibTeX and reference handlingclinical-reports - Medical documentation standardsresearch-grants - NSF, NIH, DOE proposal supportscientific-slides - Research presentationslatex-posters - Conference poster generationhypothesis-generation - Scientific hypothesis developmentmarket-research-reports - Comprehensive 50+ page market analysis reports with visualsFor local plugin development and testing, see the Development Guide.
Stars on GitHub
View @k-dense-ai’s profileGives AI agents a library of ready-made skills for scientific work such as metabolic flux analysis, protein experiment design, time series modeling, and analytical method validation, so research tasks need less hand-built code. It works with any agent that supports the open Agent Skills standard.
@k-dense-aiGives AI agents a library of ready-made skills for scientific research, covering areas such as bioinformatics, cheminformatics, literature review and molecular dynamics. Each skill lets the agent run a specialized analysis or query a scientific database instead of writing that workflow from scratch.
@k-dense-aiGuides your AI research agent through a disciplined analysis workflow, from framing a question and planning the analysis before touching data, to investigating anomalies, running parallel checks and executing a pre-registered plan with review checkpoints.
@k-dense-aiSee 12 claude-scientific-writer alternatives
Gives Claude Code access to the prompts.chat library, letting you search, retrieve and improve AI prompt templates, and find and install Agent Skills from its registry.
@gh-fA Claude Code skill for generating editable PPTX presentations and slides from a workflow, with reusable brand, style, layout, and deck workspaces, native charts, speaker notes, and template filling.
@hugohe3Gives AI agents control over Word, Excel and PowerPoint files, with skills for building .docx reports, academic papers, Excel dashboards and Morph-style animated slides.
@iofficeaiA skill that builds animation-rich HTML presentations from scratch or converts PowerPoint files to web slides. Useful for anyone turning a deck into a web presentation.
@zarazhangruiInstall it with the command on its page. It includes citation-management, clinical-decision-support, clinical-reports. Its skills do not fire on their own yet. Free and open source.
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