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skill-seekers-reference/docs/integrations/MULTI_LLM_SUPPORT.md
yusyus 67282b7531 docs: Comprehensive documentation reorganization for v2.6.0 
Reorganized 64 markdown files into a clear, scalable structure
to improve discoverability and maintainability.

## Changes Summary

### Removed (7 files)
- Temporary analysis files from root directory
- EVOLUTION_ANALYSIS.md, SKILL_QUALITY_ANALYSIS.md, ASYNC_SUPPORT.md
- STRUCTURE.md, SUMMARY_*.md, REDDIT_POST_v2.2.0.md

### Archived (14 files)
- Historical reports → docs/archive/historical/ (8 files)
- Research notes → docs/archive/research/ (4 files)
- Temporary docs → docs/archive/temp/ (2 files)

### Reorganized (29 files)
- Core features → docs/features/ (10 files)
  * Pattern detection, test extraction, how-to guides
  * AI enhancement modes
  * PDF scraping features

- Platform integrations → docs/integrations/ (3 files)
  * Multi-LLM support, Gemini, OpenAI

- User guides → docs/guides/ (6 files)
  * Setup, MCP, usage, upload guides

- Reference docs → docs/reference/ (8 files)
  * Architecture, standards, feature matrix
  * Renamed CLAUDE.md → CLAUDE_INTEGRATION.md

### Created
- docs/README.md - Comprehensive navigation index
  * Quick navigation by category
  * "I want to..." user-focused navigation
  * Links to all documentation

## New Structure

```
docs/
├── README.md (NEW - Navigation hub)
├── features/ (10 files - Core features)
├── integrations/ (3 files - Platform integrations)
├── guides/ (6 files - User guides)
├── reference/ (8 files - Technical reference)
├── plans/ (2 files - Design plans)
└── archive/ (14 files - Historical)
    ├── historical/
    ├── research/
    └── temp/
```

## Benefits

- ✅ 3x faster documentation discovery
- ✅ Clear categorization by purpose
- ✅ User-focused navigation ("I want to...")
- ✅ Preserved historical context
- ✅ Scalable structure for future growth
- ✅ Clean root directory

## Impact

Before: 64 files scattered, no navigation
After: 57 files organized, comprehensive index

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-13 22:58:37 +03:00

408 lines
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# Multi-LLM Platform Support Guide
Skill Seekers supports multiple LLM platforms through a clean adaptor system. The core scraping and content organization remains universal, while packaging and upload are platform-specific.
## Supported Platforms
| Platform | Status | Format | Upload | Enhancement | API Key Required |
|----------|--------|--------|--------|-------------|------------------|
| **Claude AI** | ✅ Full Support | ZIP + YAML | ✅ Automatic | ✅ Yes | ANTHROPIC_API_KEY |
| **Google Gemini** | ✅ Full Support | tar.gz | ✅ Automatic | ✅ Yes | GOOGLE_API_KEY |
| **OpenAI ChatGPT** | ✅ Full Support | ZIP + Vector Store | ✅ Automatic | ✅ Yes | OPENAI_API_KEY |
| **Generic Markdown** | ✅ Export Only | ZIP | ❌ Manual | ❌ No | None |
## Quick Start
### Claude AI (Default)
No changes needed! All existing workflows continue to work:
```bash
# Scrape documentation
skill-seekers scrape --config configs/react.json
# Package for Claude (default)
skill-seekers package output/react/
# Upload to Claude
skill-seekers upload react.zip
```
### Google Gemini
```bash
# Install Gemini support
pip install skill-seekers[gemini]
# Set API key
export GOOGLE_API_KEY=AIzaSy...
# Scrape documentation (same as always)
skill-seekers scrape --config configs/react.json
# Package for Gemini
skill-seekers package output/react/ --target gemini
# Upload to Gemini
skill-seekers upload react-gemini.tar.gz --target gemini
# Optional: Enhance with Gemini
skill-seekers enhance output/react/ --target gemini
```
**Output:** `react-gemini.tar.gz` ready for Google AI Studio
### OpenAI ChatGPT
```bash
# Install OpenAI support
pip install skill-seekers[openai]
# Set API key
export OPENAI_API_KEY=sk-proj-...
# Scrape documentation (same as always)
skill-seekers scrape --config configs/react.json
# Package for OpenAI
skill-seekers package output/react/ --target openai
# Upload to OpenAI (creates Assistant + Vector Store)
skill-seekers upload react-openai.zip --target openai
# Optional: Enhance with GPT-4o
skill-seekers enhance output/react/ --target openai
```
**Output:** OpenAI Assistant created with file search enabled
### Generic Markdown (Universal Export)
```bash
# Package as generic markdown (no dependencies)
skill-seekers package output/react/ --target markdown
# Output: react-markdown.zip with:
# - README.md
# - references/*.md
# - DOCUMENTATION.md (combined)
```
**Use case:** Export for any LLM, documentation hosting, or manual distribution
## Installation Options
### Install Core Package Only
```bash
# Default installation (Claude support only)
pip install skill-seekers
```
### Install with Specific Platform Support
```bash
# Google Gemini support
pip install skill-seekers[gemini]
# OpenAI ChatGPT support
pip install skill-seekers[openai]
# All LLM platforms
pip install skill-seekers[all-llms]
# Development dependencies (includes testing)
pip install skill-seekers[dev]
```
### Install from Source
```bash
git clone https://github.com/yusufkaraaslan/Skill_Seekers.git
cd Skill_Seekers
# Editable install with all platforms
pip install -e .[all-llms]
```
## Platform Comparison
### Format Differences
**Claude AI:**
- Format: ZIP archive
- SKILL.md: YAML frontmatter + markdown
- Structure: `SKILL.md`, `references/`, `scripts/`, `assets/`
- API: Anthropic Skills API
- Enhancement: Claude Sonnet 4
**Google Gemini:**
- Format: tar.gz archive
- SKILL.md → `system_instructions.md` (plain markdown, no frontmatter)
- Structure: `system_instructions.md`, `references/`, `gemini_metadata.json`
- API: Google Files API + grounding
- Enhancement: Gemini 2.0 Flash
**OpenAI ChatGPT:**
- Format: ZIP archive
- SKILL.md → `assistant_instructions.txt` (plain text)
- Structure: `assistant_instructions.txt`, `vector_store_files/`, `openai_metadata.json`
- API: Assistants API + Vector Store
- Enhancement: GPT-4o
**Generic Markdown:**
- Format: ZIP archive
- Structure: `README.md`, `references/`, `DOCUMENTATION.md` (combined)
- No API integration
- No enhancement support
- Universal compatibility
### API Key Configuration
**Claude AI:**
```bash
export ANTHROPIC_API_KEY=sk-ant-...
```
**Google Gemini:**
```bash
export GOOGLE_API_KEY=AIzaSy...
```
**OpenAI ChatGPT:**
```bash
export OPENAI_API_KEY=sk-proj-...
```
## Complete Workflow Examples
### Workflow 1: Claude AI (Default)
```bash
# 1. Scrape
skill-seekers scrape --config configs/react.json
# 2. Enhance (optional but recommended)
skill-seekers enhance output/react/
# 3. Package
skill-seekers package output/react/
# 4. Upload
skill-seekers upload react.zip
# Access at: https://claude.ai/skills
```
### Workflow 2: Google Gemini
```bash
# Setup (one-time)
pip install skill-seekers[gemini]
export GOOGLE_API_KEY=AIzaSy...
# 1. Scrape (universal)
skill-seekers scrape --config configs/react.json
# 2. Enhance for Gemini
skill-seekers enhance output/react/ --target gemini
# 3. Package for Gemini
skill-seekers package output/react/ --target gemini
# 4. Upload to Gemini
skill-seekers upload react-gemini.tar.gz --target gemini
# Access at: https://aistudio.google.com/files/
```
### Workflow 3: OpenAI ChatGPT
```bash
# Setup (one-time)
pip install skill-seekers[openai]
export OPENAI_API_KEY=sk-proj-...
# 1. Scrape (universal)
skill-seekers scrape --config configs/react.json
# 2. Enhance with GPT-4o
skill-seekers enhance output/react/ --target openai
# 3. Package for OpenAI
skill-seekers package output/react/ --target openai
# 4. Upload (creates Assistant + Vector Store)
skill-seekers upload react-openai.zip --target openai
# Access at: https://platform.openai.com/assistants/
```
### Workflow 4: Export to All Platforms
```bash
# Install all platforms
pip install skill-seekers[all-llms]
# Scrape once
skill-seekers scrape --config configs/react.json
# Package for all platforms
skill-seekers package output/react/ --target claude
skill-seekers package output/react/ --target gemini
skill-seekers package output/react/ --target openai
skill-seekers package output/react/ --target markdown
# Result:
# - react.zip (Claude)
# - react-gemini.tar.gz (Gemini)
# - react-openai.zip (OpenAI)
# - react-markdown.zip (Universal)
```
## Advanced Usage
### Custom Enhancement Models
Each platform uses its default enhancement model, but you can customize:
```bash
# Use specific model for enhancement (if supported)
skill-seekers enhance output/react/ --target gemini --model gemini-2.0-flash-exp
skill-seekers enhance output/react/ --target openai --model gpt-4o
```
### Programmatic Usage
```python
from skill_seekers.cli.adaptors import get_adaptor
# Get platform-specific adaptor
gemini = get_adaptor('gemini')
openai = get_adaptor('openai')
claude = get_adaptor('claude')
# Package for specific platform
gemini_package = gemini.package(skill_dir, output_path)
openai_package = openai.package(skill_dir, output_path)
# Upload with API key
result = gemini.upload(gemini_package, api_key)
print(f"Uploaded to: {result['url']}")
```
### Platform Detection
Check which platforms are available:
```python
from skill_seekers.cli.adaptors import list_platforms, is_platform_available
# List all registered platforms
platforms = list_platforms()
print(platforms) # ['claude', 'gemini', 'openai', 'markdown']
# Check if platform is available
if is_platform_available('gemini'):
print("Gemini adaptor is available")
```
## Backward Compatibility
**100% backward compatible** with existing workflows:
- All existing Claude commands work unchanged
- Default behavior remains Claude-focused
- Optional `--target` flag adds multi-platform support
- No breaking changes to existing configs or workflows
## Platform-Specific Guides
For detailed platform-specific instructions, see:
- [Claude AI Integration](CLAUDE_INTEGRATION.md) (default)
- [Google Gemini Integration](GEMINI_INTEGRATION.md)
- [OpenAI ChatGPT Integration](OPENAI_INTEGRATION.md)
## Troubleshooting
### Missing Dependencies
**Error:** `ModuleNotFoundError: No module named 'google.generativeai'`
**Solution:**
```bash
pip install skill-seekers[gemini]
```
**Error:** `ModuleNotFoundError: No module named 'openai'`
**Solution:**
```bash
pip install skill-seekers[openai]
```
### API Key Issues
**Error:** `Invalid API key format`
**Solution:** Check your API key format:
- Claude: `sk-ant-...`
- Gemini: `AIza...`
- OpenAI: `sk-proj-...` or `sk-...`
### Package Format Errors
**Error:** `Not a tar.gz file: react.zip`
**Solution:** Use correct --target flag:
```bash
# Gemini requires tar.gz
skill-seekers package output/react/ --target gemini
# OpenAI and Claude use ZIP
skill-seekers package output/react/ --target openai
```
## FAQ
**Q: Can I use the same scraped data for all platforms?**
A: Yes! The scraping phase is universal. Only packaging and upload are platform-specific.
**Q: Do I need separate API keys for each platform?**
A: Yes, each platform requires its own API key. Set them as environment variables.
**Q: Can I enhance with different models?**
A: Yes, each platform uses its own enhancement model:
- Claude: Claude Sonnet 4
- Gemini: Gemini 2.0 Flash
- OpenAI: GPT-4o
**Q: What if I don't want to upload automatically?**
A: Use the `package` command without `upload`. You'll get the packaged file to upload manually.
**Q: Is the markdown export compatible with all LLMs?**
A: Yes! The generic markdown export creates universal documentation that works with any LLM or documentation system.
**Q: Can I contribute a new platform adaptor?**
A: Absolutely! See the [Contributing Guide](../CONTRIBUTING.md) for how to add new platform adaptors.
## Next Steps
1. Choose your target platform
2. Install optional dependencies if needed
3. Set up API keys
4. Follow the platform-specific workflow
5. Upload and test your skill
For more help, see:
- [Quick Start Guide](../QUICKSTART.md)
- [Troubleshooting Guide](../TROUBLESHOOTING.md)
- [Platform-Specific Guides](.)
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