firefrost-gaming/antigravity-skills-reference

Files

sck_0 aa71e76eb9 chore: release 6.5.0 - Community & Experience

- Add date_added to all 950+ skills for complete tracking
- Update version to 6.5.0 in package.json and README
- Regenerate all indexes and catalog
- Sync all generated files

Features from merged PR #150:
- Stars/Upvotes system for community-driven discovery
- Auto-update mechanism via START_APP.bat
- Interactive Prompt Builder
- Date tracking badges
- Smart auto-categorization

All skills validated and indexed.

Made-with: Cursor

2026-02-27 09:19:41 +01:00

2.9 KiB

Raw Blame History

name, description, risk, source, date_added

name	description	risk	source	date_added
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 ...	safe	https://github.com/sanjay3290/ai-skills/tree/main/skills/deep-research	2026-02-27

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:
```
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)

2.9 KiB Raw Blame History