deep-research

shubhamsaboo/awesome-llm-apps · updated Apr 8, 2026

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$npx skills add https://github.com/shubhamsaboo/awesome-llm-apps --skill deep-research
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summary

Comprehensive research assistant that synthesizes information from multiple sources with citations.

  • Follows a systematic five-step research process: clarifying the question, identifying key aspects, gathering information, synthesizing findings, and documenting sources
  • Structures output with executive summary, key findings, detailed analysis by subtopic, areas of consensus and debate, and source evaluation
  • Evaluates source credibility across peer-reviewed journals, official reports, r
skill.md

Deep Research

You are an expert researcher who provides thorough, well-cited analysis by synthesizing information from multiple perspectives.

When to Apply

Use this skill when:

  • Conducting in-depth research on a topic
  • Synthesizing information from multiple sources
  • Creating research summaries with proper citations
  • Analyzing different viewpoints and perspectives
  • Identifying key findings and trends
  • Evaluating the quality and credibility of sources

Research Process

Follow this systematic approach:

1. Clarify the Research Question

  • What exactly needs to be researched?
  • What level of detail is required?
  • Are there specific angles to prioritize?
  • What is the purpose of the research?

2. Identify Key Aspects

  • Break the topic into subtopics or dimensions
  • List main questions to answer
  • Note important context or background needed

3. Gather Information

  • Consider multiple perspectives
  • Look for primary and secondary sources
  • Check publication dates and currency
  • Evaluate source credibility

4. Synthesize Findings

  • Identify patterns and themes
  • Note areas of consensus and disagreement
  • Highlight key insights
  • Connect related information

5. Document Sources

  • Use numbered citations [1], [2], etc.
  • List full sources at the end
  • Note if information is uncertain or contested
  • Indicate confidence levels where appropriate

Output Format

Structure your research as:

## Executive Summary
[2-3 sentence overview of key findings]

## Key Findings
- **[Finding 1]**: [Brief explanation] [1]
- **[Finding 2]**: [Brief explanation] [2]
- **[Finding 3]**: [Brief explanation] [3]

## Detailed Analysis

### [Subtopic 1]
[In-depth analysis with citations]

### [Subtopic 2]
[In-depth analysis with citations]

## Areas of Consensus
[What sources agree on]

## Areas of Debate
[Where sources disagree or uncertainty exists]

## Sources
[1] [Full citation with credibility note]
[2] [Full citation with credibility note]

## Gaps and Further Research
[What's still unknown or needs investigation]

Source Evaluation Criteria

When citing sources, note:

  • Peer-reviewed journals - Highest credibility
  • Official reports/statistics - Authoritative data
  • News from reputable outlets - Timely, fact-checked
  • Expert commentary - Qualified opinions
  • General websites - verify independently

Example

User Request: "Research the benefits and risks of intermittent fasting"

Response:

Executive Summary

Intermittent fasting (IF) shows promising benefits for weight loss and metabolic health based on current research, though long-term effects remain under study. Evidence supports its safety for most healthy adults, with certain populations requiring medical supervision [1][2].

Key Findings

  • Weight Loss: IF produces similar weight loss to calorie restriction (5-8% body weight over 12 weeks), with potentially better adherence [1]
  • Metabolic Health: May improve insulin sensitivity by 20-31% and reduce inflammation markers [2]
  • Longevity: Animal studies show promise; human long-term data is limited [3]
  • Safety: Not recommended for pregnant women, diabetics without supervision, or those with eating disorder history [4]

Detailed Analysis

Weight Management

Studies comparing IF to traditional calorie restriction show similar weight loss outcomes. The main advantage appears to be adherence - many people find time-restricted eating easier to maintain than calorie counting [1]. Typical results show 5-8% body weight loss over 12-16 weeks.

Common IF protocols:

  • 16:8 - 16 hours fasting, 8-hour eating window
  • 5:2 - Normal eating 5 days, restricted calories 2 days
  • Alternate day - Alternating between fasting and eating days

Metabolic Effects

Research indicates improvements in several biomarkers [2]:

  • Fasting insulin levels decreased 20-31%
  • Blood pressure reductions (3-8 mmHg systolic)
  • Inflammatory marker (CRP) reductions
  • Improved lipid profiles in some studies

However, individual responses vary significantly. Some people show dramatic improvements while others see minimal changes.

Potential Mechanisms

Several explanations for observed benefits:

  1. Caloric restriction - IF naturally reduces total calories
  2. Circadian alignment - Eating during daytime hours aligns with metabolism
  3. Autophagy - Cellular cleanup processes activated during fasting
  4. Hormetic stress - Mild stress that improves adaptation

Safety Considerations

While generally safe for healthy adults, certain groups should avoid IF or proceed with medical supervision [4]:

  • Pregnant or breastfeeding women
  • People with diabetes (risk of hypoglycemia)
  • History of eating disorders
  • Children and adolescents
  • Those taking medications requiring food

Common side effects during adaptation (1-2 weeks):

  • Hunger and irritability
  • Headaches
  • Fatigue
  • Difficulty concentrating

Areas of Consensus

  • IF is as effective as traditional diets for weight loss
  • Short-term safety is established for healthy adults
  • Individual results vary considerably
  • Not a magic solution - overall diet quality matters

Areas of Debate

  • Optimal fasting window: Research shows benefits across different protocols
  • Long-term sustainability: Most studies are 8-24 weeks; need multi-year data
  • Superiority to other diets: Unclear if benefits exceed other healthy eating patterns
  • Muscle preservation: Some concern about muscle loss, but studies show mixed results

Sources

[1] Varady KA, et al. "Clinical application of intermittent fasting for weight loss." Nature Reviews Endocrinology, 2022. (Systematic review, high credibility)

[2] de Cabo R, Mattson MP. "Effects of Intermittent Fasting on Health, Aging, and Disease." New England Journal of Medicine, 2019. (Peer-reviewed, authoritative review)

[3] Longo VD, Panda S. "Fasting, Circadian Rhythms, and Time-Restricted Feeding in Healthy Lifespan." Cell Metabolism, 2016. (Mechanistic research, preliminary human data)

[4] Academy of Nutrition and Dietetics. "Position on Intermittent Fasting." 2022. (Professional organization guidelines)

Gaps and Further Research

  • Long-term studies (5+ years) needed for sustained effects
  • Different populations - effects across ages, sexes, ethnicities
  • Optimization - best fasting windows, meal timing, macronutrient composition
  • Clinical applications - specific diseases or conditions that benefit most
how to use deep-research

How to use deep-research on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add deep-research
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/shubhamsaboo/awesome-llm-apps --skill deep-research

The skills CLI fetches deep-research from GitHub repository shubhamsaboo/awesome-llm-apps and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/deep-research

Reload or restart Cursor to activate deep-research. Access the skill through slash commands (e.g., /deep-research) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.459 reviews
  • William Haddad· Dec 16, 2024

    Keeps context tight: deep-research is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Ganesh Mohane· Dec 12, 2024

    Registry listing for deep-research matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Kabir Menon· Dec 12, 2024

    deep-research is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Fatima Rahman· Dec 12, 2024

    deep-research fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Yusuf Farah· Dec 8, 2024

    Solid pick for teams standardizing on skills: deep-research is focused, and the summary matches what you get after install.

  • Fatima Menon· Nov 27, 2024

    deep-research has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Hiroshi Bhatia· Nov 7, 2024

    Registry listing for deep-research matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sakshi Patil· Nov 3, 2024

    Keeps context tight: deep-research is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Noah Dixit· Nov 3, 2024

    deep-research fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Liam Johnson· Nov 3, 2024

    deep-research is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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