Diagnose index1 environment - check Python, Ollama, models, index health.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install gladego/index1-doctorInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Environment diagnostic skill for index1. Runs health checks and provides fix recommendations.
Type /doctor or ask the agent to diagnose index1.
The skill runs three commands sequentially and analyzes results:
index1 doctor
Checks:
index1 status
Shows:
ollama list
Shows installed models. Recommended embedding models:
nomic-embed-text — Standard, 270MBbge-m3 — Best for CJK content, 1.2GB| Check | Pass | Fail Fix |
|---|---|---|
| Python | >= 3.10 | Install Python 3.11+ |
| SQLite | >= 3.43.0 | Auto-degrades, no action needed |
| sqlite-vec | Loaded | pip install index1 (bundled) |
| Ollama | Connected | curl -fsSL https://ollama.com/install.sh | sh |
| Model | Available | ollama pull nomic-embed-text |
| CJK | jieba loaded | pip install index1[chinese] |
| Index | Has documents | index1 index ./src ./docs |
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# index1 Doctor Environment diagnostic skill for index1. Runs health checks and provides fix recommendations. ## Usage Type `/doctor` or ask the agent to diagnose index1. ## What it checks The skill runs three commands sequentially and analyzes results: ### 1. Environment Check ```bash index1 doctor ``` Checks: - Python version (>= 3.10 required) - SQLite version (>= 3.43.0 for full features) - sqlite-vec extension - ONNX embedding (built-in, bge-small-en-v1.5) - Ollama connectivity (optional, for multilingual/CJK) - Embedding model availability - CJK/Chinese support (jieba) ### 2. Index Status ```bash index1 status ``` Shows: - Document count and chunk count - Collections list - Last index time - Database size ### 3. Ollama Models ```bash ollama list ``` Shows installed models. Recommended embedding models: - `nomic-embed-text` — Standard, 270MB - `bge-m3` — Best for CJK content, 1.2GB ## Interpreting Results | Check | Pass | Fail Fix | |-------|------|----------| | Python | >= 3.10 | Install Python 3.11+ | | SQLite | >= 3.43.0 | Auto-degrades, no action needed | | sqlite-vec | Loaded | `pip install index1` (bundled) | | Ollama | Connected | `curl -fsSL https://ollama.com/install.sh \| sh` | | Model | Available | `ollama pull nomic-embed-text` | | CJK | jieba loaded | `pip install index1[chinese]` | | Index | Has documents | `index1 index ./src ./docs` | ## When to use - First-time setup verification - After upgrading index1 - When search returns unexpected results - When vector search stops working - Before reporting issues
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