Deep Research Reports
Research skill, available on Zeplik
Deep Research Reports is a ready-to-run research skill on Zeplik. Use for a long, multi-step, sourced research report -- market analysis, competitive landscaping, literature review, due diligence: 'do deep research on X', 'write a full report with citations'. Ask in plain language and Zeplik applies the skill's method for you inside the conversation, on whichever AI model you prefer. It returns a structured document you can keep and reuse: Document artifact -- structured written deliverable with headed sections and a TL;DR (see artifact-templates/document.md).
The Deep Research Reports skill loads automatically when your request matches it, or you can invoke it directly by typing /deep-research in any chat. It works with attachments, connectors, and any model that supports the task, so you get the same expert method every time without setting anything up.
What the Deep Research Reports skill can do
- Plan and execute autonomous multi-step research across many sources
- Synthesize findings into a cited, structured markdown report
- Stream or poll progress on long-running research tasks
- Continue prior research sessions to elaborate on specific points
Try these prompts on Zeplik
Pick a prompt to open it in the Zeplik app. If you are not signed in yet, your prompt is waiting for you the moment you do.
How the Deep Research Reports skill works
Gemini Deep Research Skill
Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.
When to Use This Skill
Use this skill when:
- Performing market analysis
- Conducting competitive landscaping
- Creating literature reviews
- Doing technical research
- Performing due diligence
- Need detailed, cited research reports
Requirements
- Python 3.8+
- httpx:
pip install -r requirements.txt - GEMINI_API_KEY environment variable
Setup
- Get a Gemini API key from Google AI Studio
- Set the environment variable:
Or create aexport GEMINI_API_KEY=your-api-key-here.envfile in the skill directory.
Usage
Start a research task
python3 scripts/research.py --query "Research the history of Kubernetes"
With structured output format
python3 scripts/research.py --query "Compare Python web frameworks" \
--format "1. Executive Summary\n2. Comparison Table\n3. Recommendations"
Stream progress in real-time
python3 scripts/research.py --query "Analyze EV battery market" --stream
Start without waiting
python3 scripts/research.py --query "Research topic" --no-wait
Check status of running research
python3 scripts/research.py --status <interaction_id>
Wait for completion
python3 scripts/research.py --wait <interaction_id>
Continue from previous research
python3 scripts/research.py --query "Elaborate on point 2" --continue <interaction_id>
List recent research
python3 scripts/research.py --list
Output Formats
- Default: Human-readable markdown report
- JSON (
--json): Structured data for programmatic use - Raw (
--raw): Unprocessed API response
Cost & Time
| Metric | Value |
|---|---|
| Time | 2-10 minutes per task |
| Cost | $2-5 per task (varies by complexity) |
| Token usage | ~250k-900k input, ~60k-80k output |
Best Use Cases
- Market analysis and competitive landscaping
- Technical literature reviews
- Due diligence research
- Historical research and timelines
- Comparative analysis (frameworks, products, technologies)
Workflow
- User requests research → Run
--query "..." - Inform user of estimated time (2-10 minutes)
- Monitor with
--streamor poll with--status - Return formatted results
- Use
--continuefor follow-up questions
Exit Codes
- 0: Success
- 1: Error (API error, config issue, timeout)
- 130: Cancelled by user (Ctrl+C)
Zeplik output presentation
Present the final deliverable as a single polished artifact: clear headings, tables where the content is tabular, fenced code where it is code. Lead with the deliverable itself; keep process commentary to a single short line. If the skill produced multiple files or sections, end with a compact list of them with one-line purposes.
How to use the Deep Research Reports skill
Sign in to Zeplik
Create a free Zeplik account or sign in. New accounts start with free credits, so you can try the Deep Research Reports skill right away.
Describe your research task
Ask in plain language, or type /deep-research to invoke the skill directly. Zeplik recognizes the Deep Research Reports skill and applies its method.
Review and refine the result
Zeplik returns a structured document you can edit, download, and reuse. Ask follow-ups to refine it.
Source and credit
- Author
- davila7 community
- License
- MIT
Adapted from the open-source davila7/claude-code-templates project and tuned to run natively on Zeplik. View source on GitHub.
Frequently asked questions
- What is the Deep Research Reports skill?
- Deep Research Reports is a ready-to-run research skill on Zeplik. Use for a long, multi-step, sourced research report -- market analysis, competitive landscaping, literature review, due diligence: 'do deep research on X', 'write a full report with citations'. Ask in plain language and Zeplik applies the skill's method for you inside the conversation, on whichever AI model you prefer. It returns a structured document you can keep and reuse: Document artifact -- structured written deliverable with headed sections and a TL;DR (see artifact-templates/document.md).
- How do I use Deep Research Reports on Zeplik?
- Sign in to Zeplik and ask in plain language, or type /deep-research in any chat to invoke it directly. The skill applies its method and returns a result you can refine in the same conversation.
- Which AI model does the Deep Research Reports skill use?
- Any model you choose. Zeplik works across every model in one chat, so the Deep Research Reports skill runs on your preferred model for the task.
- Where does the Deep Research Reports skill come from?
- The Deep Research Reports skill is adapted from the open-source davila7/claude-code-templates project (MIT) and tuned to run natively on Zeplik. The original source is linked on this page.
- How much does the Deep Research Reports skill cost?
- Using the skill is free to start. You only spend Zeplik credits when the assistant runs, and new accounts begin with free credits.
Related research skills
- Academic PublishingAcademic publishing workflows — citation/reference management, LaTeX research posters, and venue templates with submission requirements. Use for "manage citations" or "format for a venue / make a poster"; for the writing itself see research-writing.
- Bio Research ToolkitUse when running comp-bio workflows -- single-cell RNA-seq QC, scvi-tools deep models, nf-core pipelines, instrument-to-Allotrope conversion. Not for literature research (use deep-research).
- Cheminformatics ToolkitsCheminformatics and molecular modeling — RDKit/Datamol molecular handling, DeepChem molecular ML, COBRApy metabolic modeling, Pymatgen materials, matchms/pyOpenMS mass spectrometry. Use for "work with molecules/chemistry data"; for genomics see genomics-toolkits.
- Clinical WritingClinical and medical document generation — clinical decision-support docs, clinical/case reports (CARE guidelines), and focused treatment plans in LaTeX/PDF. Use for "write a clinical report/treatment plan/CDS doc"; for research manuscripts see research-writing.
- Competitive BriefUse for competitor research or a competitive analysis -- 'compare us against X', 'build a battlecard for sales', 'competitor Y just launched Z, what does it mean for us' -- producing a positioning/messaging comparison with gaps, opportunities, threats. Not for general market reports (use deep-research).
- Fact CheckerVerify claims in supplied text or a question - decompose into checkable claims, verify with sources, return verdicts with confidence and citations. Use when the user asks is this true, fact check this, verify, or pastes a viral post or article to vet. Not for broad topic research (use research).
More on Zeplik
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