본문으로 건너뛰기
cccskills
무료GitHub에 공개

ov-add-data

This skill adds data(like resources) to OpenViking Context Database (aka. ov). Use when an agent needs to add files, data from URLs, or external knowledge during interactions. Trigger this tool when 1. is explicitly requested adding files or knowledge; 2. identifies valuable resources worth importing; 3. the user mentioned adding to OV/OpenViking/Context Database. This skill helps how to use CLI like `ov add-resource`, `ov add-skill` and `ov add-memory` to add resource data, skill files, memory files to OpenViking.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(1)

  • SKILL.md8.6 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

OpenViking (OV) add-resource

The ov add-resource command imports external resources into OpenViking's context database — supporting local files, directories, URLs, and remote repositories. Resources are automatically processed with semantic analysis and organized under the viking://resources/ namespace.

When to Use

  • Importing project documentation, code repositories, or reference materials
  • Adding web pages, articles, or online resources for future retrieval
  • Building a knowledge base from external sources
  • When an agent encounters valuable content that should persist across sessions
  • Recording a project's product documentation, design specs, or other valuable materials
  • Storing sensitive information or private data of the user, like photo and albums

CLI Options

Basic Usage

Import a local file or URL:

# add a code repo from github or gitlab or a git address
ov add-resource https://github.com/volcengine/OpenViking
ov add-resource https://code.xxxx.org/viking/viking
ov add-resource git@code.xxxx.org:viking/viking.git

# add a file from url
ov add-resource https://arxiv.org/pdf/2602.09540
ov add-resource https://raw.githubusercontent.com/volcengine/OpenViking/main/README.md

# add a file from local filesystem
ov add-resource ./docs/api-spec.md
ov add-resource ./team_building.jpg
ov add-resource /User/volcengine/Documents/profile.pdf
ov add-resource /User/volcengine/Documents/project.docx

# add a zip file from local filesystem (will be unzipped on server)
ov add-resource ./docs-of-project.zip

# add a directory from local filesystem
ov add-resource /User/volcengine/Photo/Travels/2026/ --include "*.jpg,*.jpeg,*.png"
ov add-resource /User/volcengine/Documents/OV项目设计文档/

Context and Instructions (TBD)

Add metadata to guide processing: --reason and --instruction will be supported in the future.

Async Processing Control

The time of adding resources could cost long (like minutes), and the semantic processing could be async. Use --wait to wait for the processing to complete.

# Wait until semantic processing finishes
ov add-resource ./docs --wait

# Wait with timeout (in seconds)
ov add-resource https://example.com/docs --wait --timeout 60

# Fire and forget (default, without --wait)
ov add-resource ./docs

If you fire and forget, the command will return after the resource is completely downloaded/uploaded on server, and then the CLI will return the root URI of the imported resource. To check the status of the resource, you can use ov ls or ov tree to list the resources under root URI or viking://resources/.

Specify the target path

By default, resources are imported under viking://resources/. Use --to or --parent to specify a target uri.

# The data will be imported as viking://resources/2026/2026-01-01/, which should not exist before
ov add-resource /User/volcengine/Photo/Travels/2026/2026-01-01/ --to "viking://resources/2026/2026-01-01/"

# The data will be imported under viking://resources/2026, which should exist and be a directory
ov add-resource /User/volcengine/Photo/Travels/2026/2026-01-02/ --parent "viking://resources/2026/"

CLI Output

Returns the root URI of the imported resource, like:

root_uri  viking://resources/2026/2026-01-01

CLI Prerequisites

  • CLI configured in: ~/.openviking/ovcli.conf
  • Network access for the importing URL from server
  • Local read access for the importing local files/directories from CLI.

OpenViking (OV) add-memory

The ov add-memory command adds long persistant memory — turning text and structured conversations into searchable, retrievable memories in the OpenViking context database. Use ov add-memory --help for latest usage.

When to Use

  • After learning something worth remembering across sessions
  • To persist conversation insights, decisions, or findings
  • To build up a knowledge base from interactions
  • When an agent wants to store context for future retrieval

Input Modes

choose wisely between plain text and multi-turn mode. Multi-turn mode can contain more complex insights, let openviking handle the memory extraction.

Mode 1: Plain Text for compressed memory

A simple string is stored as a user message:

ov add-memory "User's name is Bob, he participate in Global Hackathon in 2025-01-08, and won Champion."

Mode 2: Multi-turn Conversation for Richer Context

A JSON array of {role, content} objects to store a full exchange:

ov add-memory '[
  {"role": "user", "content": "I love traveling. Give me some options of Transport from Beijing to Shanghai."},
  {"role": "assistant", "content": "You can use train, bus, or plane. Train is the fastest, but you need to book in advance. Bus is cheaper, but you need to wait. Plane is the most expensive, but you can get there any time of day."},
  {"role": "user", "content": "I prefer train. I like sightseeing on the train. Can you give me the train schedule?"},
  < ... more possible conversation about schedule and tickest need to be memorized ... >
]'

Output

Returns count of memory extracted:

memories_extracted   1

Agent Best Practices

How to Write Good Memories

  1. Be specific — Include concrete details, not vague summaries
  2. Include context — Why this matters, when it applies
  3. Use structured format — Separate the what from the why

Batch Related Facts

Group related memories in one call rather than many small ones:

ov add-memory '[
  {"role": "user", "content": "Key facts about the ov_cli Rust crate"},
  {"role": "assistant", "content": "1. runs faster than python cli\n2. uses HttpClient to connect openviking server\n3. Output formatting supports table and JSON modes\n4. Config lives at ~/.openviking/ovcli.conf"}
]'

Prerequisites

  • CLI configured: ~/.openviking/ovcli.conf

OpenViking (OV) add-skill

The ov add-skill command adds agent capabilities to OpenViking — supporting SKILL.md files, MCP tool definitions, and raw skill content. Skills are automatically processed and organized under the viking://agent/skills/ namespace, making them discoverable and usable by agents.

When to Use

  • Adding custom agent capabilities and workflows
  • Importing MCP (Model Context Protocol) tools
  • Persisting skill definitions across agent sessions
  • Building a library of reusable agent capabilities
  • When an agent needs to extend its toolset with custom logic

Input Formats

Mode 1: SKILL.md File

Import from a single SKILL.md file with YAML frontmatter:

# Add from a single SKILL.md file
ov add-skill ./skills/my-skill/SKILL.md

# Add from a directory containing SKILL.md (includes auxiliary files)
ov add-skill ./skills/my-skill/

CLI Options

Async Processing Control

Semantic processing happens asynchronously. Use --wait to block until complete:

# Wait until semantic processing finishes
ov add-skill ./skills/my-skill/ --wait

# Wait with timeout (in seconds)
ov add-skill ./skills/my-skill/ --wait --timeout 60

# Fire and forget (default, without --wait)
ov add-skill ./skills/my-skill/

CLI Output

Returns the URI of the added skill, like:

uri  viking://agent/skills/my-skill/

SKILL.md Format

Skills use Markdown with YAML frontmatter:

---
name: skill-name
description: Brief description of the skill
allowed-tools:
  - Tool1
  - Tool2
tags:
  - tag1
  - tag2
---

## Including Auxiliary Files

When adding from a directory, all files in the directory are included as auxiliary files:

```bash
# Directory structure:
# ./skills/code-runner/
#   ├── SKILL.md
#   ├── helper.py
#   └── templates/
#       └── script.py

ov add-skill ./skills/code-runner/
# Both helper.py and templates/ are included

CLI Prerequisites

  • CLI configured: ~/.openviking/ovcli.conf
  • The skill file (SKILL.md) should be in the correct markdown format.

🔗 Связи

  • [[MOC - MCP Servers]] — mcp-servers
  • [[000 - Map of Maps]] — Map of Maps

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

1password

무료

Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ibragimov-oasis/vibe-coder32026년 6월 24일 업데이트

Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like "review this paper", "analyze this research", "summarize this study", or "write a peer review".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ibragimov-oasis/vibe-coder32026년 6월 24일 업데이트

Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like "add new model descriptions", "update models from router", "sync models", or when explicitly invoking /add-model-descriptions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ibragimov-oasis/vibe-coder32026년 6월 24일 업데이트

Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ibragimov-oasis/vibe-coder32026년 6월 24일 업데이트

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ibragimov-oasis/vibe-coder32026년 6월 24일 업데이트

Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ibragimov-oasis/vibe-coder32026년 6월 24일 업데이트

ibragimov-oasis의 스킬 모두 보기

이 스킬의 문제 신고