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gemini

gemini

github.com/johnlindquistProductivity2641 installsUpdated 45w ago
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About gemini

gemini is a skill for using Google's Gemini Pro through the Gemini CLI for research, analysis, and reasoning. It provides command examples and prompt patterns for tasks such as summarization, code analysis, and fact-checking.

Key features

  1. 01Gemini CLI command guidance
  2. 02Research and synthesis prompts
  3. 03Document summarization
  4. 04Code analysis
  5. 05Fact-checking and extraction
  6. 06Output and error-handling tips

Use cases

  1. 01Researching a topic with sourced facts
  2. 02Summarizing documents from stdin
  3. 03Analyzing code from the command line
  4. 04Extracting structured data

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/johnlindquist/claude --skill gemini

After installing, type/geminiin Claude Code to confirm it loaded.

Details

From the project README

Gemini AI Assistant

Leverage Google's Gemini Pro model with its 1M context window for research, analysis, and reasoning tasks.

Prerequisites

Install the Gemini CLI:

pip install google-generativeai

Set your API key:

export GEMINI_API_KEY=your_api_key

Get an API key at: https://makersuite.google.com/app/apikey

CLI Reference

Basic Usage
# Simple question
gemini -m pro "Your question here"

# With text output (no markdown)
gemini -m pro -o text "Your question"

# Disable extensions for programmatic use
gemini -m pro -o text -e "" "Your question"

# Pipe content as stdin
echo "content to analyze" | gemini -m pro -o text -e "" "Summarize this"
cat file.txt | gemini -m pro -o text -e "" "Analyze this code"

Common Operations

Research

Deep research with critical analysis:

gemini -m pro -o text -e "" "You are an expert research analyst. Research: [topic]. Provide specific facts, distinguish opinions from facts, note uncertainties, and give actionable insights."
Summarization
cat document.txt | gemini -m pro -o text -e "" "Summarize this content, focusing on: [focus area]"
Code Analysis
cat code.ts | gemini -m pro -o text -e "" "Analyze this code and answer: [question]"
Web Search with Synthesis
gemini -m pro -o text -e "" "Search and synthesize: [query]. Include specific facts, dates, and distinguish confirmed from speculative information."
Fact-Checking
gemini -m pro -o text -e "" "Fact-check this claim: [claim]. State true/false/partial, cite sources, note context."
Step-by-Step Reasoning
gemini -m pro -o text -e "" "Think through this problem step by step: [problem]. Constraints: [constraints]. Provide reasoning and conclusion."
Data Extraction
cat content.txt | gemini -m pro -o text -e "" "Extract [what to extract] from this content. Format as [json/list/table]."
News Lookup
gemini -m pro -o text -e "" "Latest news about: [topic] from [timeframe]. Summarize important developments."

Prompt Templates

Research Prompt
You are an expert research analyst. Your goal is to provide genuinely useful, accurate research.

RESEARCH OBJECTIVE: [topic]

QUALITY STANDARDS:
- Be specific and concrete, not vague
- Distinguish between facts, expert opinions, and speculation
- Note when information is uncertain, contested, or evolving
- Identify what's NOT known or what gaps exist
- Provide actionable insights, not just information
Analysis Prompt
Analyze the following and provide:
1. Key findings
2. Implications
3. Recommendations
4. Uncertainties or gaps

Content: [content]

Best Practices

  1. Use -o text -e "" for programmatic usage to get clean output
  2. Pipe large content via stdin rather than command line args
  3. Be specific in prompts - vague questions get vague answers
  4. Ask for structure - request lists, tables, or JSON for parseable output
  5. Request citations when accuracy matters
  6. Set timeouts for long operations (gemini can take 30-120s)

Error Handling

ErrorSolution
"command not found"Install: pip install google-generativeai
"API key" / "unauthorized"Set GEMINI_API_KEY environment variable
"rate limit" / "quota"Wait and retry, or check quota at Google Cloud Console
TimeoutBreak into smaller queries or increase timeout

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