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Deep Researcher

Community
Karanjot786
deep-researcher

Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources. Use when the user needs thorough investigation, market research, technical deep-dives, due diligence, or comprehensive analysis on any subject.

Overview

PublisherKaranjot786
Repositoryagent-skills-cli
Skill namedeep-researcher
Stars
181
Forks
21
Bundled files
Instructions only
LicenseMIT
Links
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Karanjot786 on GitHub. Read the source before you install it.

Installation

Install the Deep Researcher AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

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/Karanjot786/agent-skills-cli.git /tmp/agent-skills-cli
mkdir -p .claude/skills
cp -r /tmp/agent-skills-cli/skills/deep-researcher .claude/skills/deep-researcher
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Deep Researcher 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 Deep Researcher 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 Deep Researcher 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.

Deep Researcher

A comprehensive research workflow skill that guides Claude through systematic, multi-layered research on any topic.

When to use this skill

Use this skill when the user:

  • Asks for "deep research" or "comprehensive research" on a topic
  • Needs thorough investigation or due diligence
  • Requests market research or competitive analysis
  • Wants technical deep-dives or architecture reviews
  • Needs literature reviews or trend analysis
  • Asks for detailed reports with multiple perspectives

Research Workflow

Step 1: Define Research Scope and Objectives

Start by clearly establishing research parameters:

  1. Identify the main research question - What is the primary question to investigate?
  2. Define scope boundaries - What aspects should be included or excluded?
  3. Determine depth requirements - How detailed should the research be?
  4. Clarify expected deliverables - What format and structure for output?
  5. List key areas of focus - What specific subtopics to explore?

Document these parameters before proceeding.

Step 2: Conduct Initial Exploratory Research

Begin with broad reconnaissance to map the landscape:

  1. Search for overview information - Find general information, definitions, and context
  2. Identify key sources - Look for authoritative sources, recent publications, expert opinions
  3. Note initial findings - Create preliminary list of important concepts, terms, themes
  4. Discover related topics - Identify adjacent areas that may be relevant
  5. Assess information gaps - Note what's available vs. what needs deeper investigation

Create an initial research map with main themes and subtopics.

Step 3: Deep Dive into Key Areas

For each identified key area, conduct detailed investigation:

  1. Targeted searches - Use specific queries for each subtopic
  2. Multiple perspectives - Seek diverse viewpoints and approaches
  3. Technical details - Gather specific data, statistics, methodologies
  4. Historical context - Understand evolution and background
  5. Current state - Identify latest developments and trends
  6. Future outlook - Look for predictions, projections, emerging patterns

Document findings systematically, noting sources and credibility.

Step 4: Cross-Reference and Validate Findings

Ensure accuracy and reliability:

  1. Verify key facts - Cross-check important information across multiple sources
  2. Identify contradictions - Note where sources disagree and investigate why
  3. Assess source credibility - Evaluate authority and reliability
  4. Check recency - Ensure information is current and relevant
  5. Look for consensus - Identify where experts or multiple sources agree
  6. Flag uncertainties - Mark areas where information is unclear or disputed

Step 5: Synthesize and Analyze Information

Transform collected data into insights:

  1. Identify patterns - Look for common themes, trends, relationships
  2. Draw connections - Link concepts across sources and subtopics
  3. Generate insights - Develop original observations based on research
  4. Compare and contrast - Analyze similarities and differences
  5. Evaluate implications - Consider significance and consequences
  6. Address the research question - Directly answer original question with evidence

Step 6: Generate Structured Research Report

Create comprehensive, well-organized final report:

## Report Structure

1. **Executive Summary**
   - Brief overview of research question
   - Key findings (3-5 main points)
   - Main conclusions

2. **Introduction**
   - Research scope and objectives
   - Methodology overview
   - Key areas explored

3. **Main Body** (organized by themes)
   - Detailed findings for each key area
   - Supporting evidence and examples
   - Multiple perspectives where relevant
   - Data and statistics

4. **Analysis & Synthesis**
   - Patterns and connections identified
   - Cross-cutting themes
   - Insights and interpretations

5. **Conclusions**
   - Direct answers to research questions
   - Summary of most significant findings
   - Limitations of the research

6. **Sources & References**
   - List of key sources consulted
   - Credibility notes where relevant

Research Strategies

Information Quality Standards

  • Prefer primary sources - Go to original sources when possible
  • Recent is better - Prioritize current information for fast-moving topics
  • Multiple sources - Don't rely on single source for important facts
  • Expert opinion - Seek recognized authorities in the field
  • Data over anecdotes - Prefer statistical evidence to individual stories

Analysis Techniques

Use these frameworks as appropriate:

  • SWOT analysis - Strengths, Weaknesses, Opportunities, Threats
  • Compare/Contrast - Systematic comparison of approaches
  • Timeline analysis - Historical development and trends
  • Stakeholder analysis - Different perspectives and interests
  • Gap analysis - What's missing or needs further research

Pitfalls to Avoid

  • Confirmation bias - Look for information that challenges assumptions
  • Information overload - Know when enough research has been done
  • Outdated information - Always check dates and currency
  • Single-source dependence - Diversify sources
  • Analysis paralysis - Balance thoroughness with timely completion
  • Losing focus - Stay aligned with original objectives

Progress Tracking

Copy and update this checklist as you work:

Research Progress:
- [ ] Step 1: Define scope and objectives
- [ ] Step 2: Initial exploratory research  
- [ ] Step 3: Deep dive into key areas
- [ ] Step 4: Cross-reference and validate
- [ ] Step 5: Synthesize and analyze
- [ ] Step 6: Generate structured report

Frequently asked questions

What does the Deep Researcher AI skill do?

Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources. Use when the user needs thorough investigation, market research, technical deep-dives, due diligence, or comprehensive analysis on any subject.

Why use Deep Researcher on TypingMind?

Because you install it once and use it with any model. Deep Researcher 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 Deep Researcher in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Karanjot786/agent-skills-cli/tree/main/skills/deep-researcher. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Deep Researcher?

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 Deep Researcher?

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

Is the Deep Researcher AI skill free?

Yes. It is published on GitHub by Karanjot786 under the MIT license. 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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