openviking

Semantic search, context management, and document indexing via OpenViking. Use when the user asks to: index/import documents or files into a knowledge base, perform semantic search across indexed content, browse or explore indexed resources, get summaries/overviews of indexed documents, manage an OpenViking instance, or integrate structured context retrieval into workflows. Also use when sub-agents need to retrieve relevant context from a large document collection.

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "openviking" with this command: npx skills add swizardlv/openclaw_openviking_skill/swizardlv-openclaw-openviking-skill-openviking

OpenViking Skill

Manage an OpenViking context database: index documents, semantic search, browse, and retrieve summaries.

Prerequisites

  • Python 3.9+ with openviking package installed (pip install openviking)
  • Config file at ~/.openviking/ov.conf with valid embedding and VLM credentials
  • Environment variable OPENVIKING_CONFIG_FILE=~/.openviking/ov.conf

If prerequisites are not met, guide the user through setup. See references/setup-guide.md.

Quick Reference

Index a file

python3 scripts/viking.py add /path/to/file.md

Index all files in a directory (recursive)

python3 scripts/viking.py add-dir /path/to/directory --pattern "*.md"

Semantic search

python3 scripts/viking.py search "query text" --limit 5

Browse resources

python3 scripts/viking.py ls [viking://resources/path]

Get summary

python3 scripts/viking.py abstract viking://resources/my_doc
python3 scripts/viking.py overview viking://resources/my_doc

Read full content

python3 scripts/viking.py read viking://resources/my_doc/section.md

Usage Notes

  • Data directory: Defaults to ./openviking_data in the current working directory. Override with --data-dir.
  • File name collisions: OpenViking uses file names (not full paths) as URIs. Avoid indexing files with identical names from different directories simultaneously.
  • VLM model: Use non-reasoning models (e.g. meta/llama-3.3-70b-instruct) for the VLM. Reasoning models return content in the wrong field.
  • Embedding model: nvidia/nv-embed-v1 (symmetric, 4096-dim) works without extra parameters. Asymmetric models (e.g. nv-embedqa-e5-v5) require input_type which OpenViking doesn't pass.

When to Use Python API vs CLI Script

  • CLI script (scripts/viking.py): For quick one-off operations from the shell.
  • Python API: For complex workflows, batch operations, or integration into other scripts. See references/python-api.md.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

General

openviking

No summary provided by upstream source.

Repository SourceNeeds Review
General

memory-recall

No summary provided by upstream source.

Repository SourceNeeds Review
General

adding-memory

No summary provided by upstream source.

Repository SourceNeeds Review