Deep research

Skill w95/awesome-claude-corporate-skills/01-executive-leadership/deep-research

Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited reports. Costs $2-5 per task.From its SKILL.md

Install

npx -y skills add w95/awesome-claude-corporate-skills --skill deep-research

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

reads credentialsReads from 2 credential sources: `GEMINI_API_KEY` and 1 more.
runs commandsInstructs the agent to run 8 commands, including `pip install -r requirements.txt` and 7 more.

What its file declares

Copied from the file, not written here

The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

2.7 KB, 592 tokens by cl100k_base, as published. Nobody here has run it

Gemini Deep Research Skill

Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive 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:
```
export GEMINI_API_KEY=your-api-key-here
```
Or create a .env file 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 --stream or poll with --status
Return formatted results
Use --continue for follow-up questions

Exit Codes

0: Success
1: Error (API error, config issue, timeout)
130: Cancelled by user (Ctrl+C)

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most web research skills give in 592 tokens

Counted across 292 of the 300 authors here whose files we hold, read 2026-09-06

Use web_search_exa for current information and broad discoveryin 22 of 292, across 8 files
Cite every claim with a sourcein 21 of 292, across 18 files
Configure the Exa MCP server with an API keyin 18 of 292, across 5 files
Use get_code_context_exa for code examples and API docsin 16 of 292, across 6 files
Verify exact tool names before depending on themin 13 of 292, across 4 files
Narrow results with site:, quoted phrase, and intitle: operatorsin 13 of 292, across 4 files
Adjust tokensNum lower for snippets, higher for full contextin 13 of 292, across 4 files
Break the topic into 3-5 research sub-questionsin 13 of 292
Confirm current Exa docs and exposed tool surface before usein 11 of 292, across 2 files
Get user confirmation after Phase 1in 10 of 292, across 9 files
Prefer primary sources when availablein 10 of 292
Verify extracted metadata against original sourcesin 9 of 292, across 5 files

Said here and by no other author read

Install dependencies with pip
Start a research task with --query
Specify report structure with --format
Stream progress in real time with --stream
Start without waiting using --no-wait
Check status with --status

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.