Ov Add Paper

OrganizationPopular

volcengine

ov-add-paper

Load when the user asks to add, import, compile, or ingest a research paper/PDF into OpenViking, especially when they mention ov-add-paper, ARA, claims, evidence, figures, tables, or paper-to-OV knowledge resources.

Overview

Publisher	volcengine
Repository	`OpenViking`
Skill name	`ov-add-paper`
Stars	37.9K
Forks	2.9K
Bundled files	3
License	AGPL-3.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by volcengine on GitHub. Read the source before you install it.

Installation

Install the Ov Add Paper AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/volcengine/OpenViking.git /tmp/OpenViking
mkdir -p .claude/skills
cp -r /tmp/OpenViking/examples/skills/ov-add-paper .claude/skills/ov-add-paper

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ov Add Paper in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ov Add Paper on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ov Add Paper is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

ov-add-paper

Goal

Turn a research paper into an OpenViking-ready structured resource, then complete ingestion with ov add-resource. The job is not done until the generated artifact directory has been validated and submitted to OpenViking.

Inputs

Required: a paper source, usually a local PDF path or paper URL.
Optional: output directory, OpenViking target URI, domain notes, related repo/source files, and whether to wait for OV processing.
If the paper source is missing or inaccessible, ask for it before starting.

Workflow

Read the paper completely, including appendices and all numbered figures/tables.
Compile an ARA-style artifact directory using references/ara-compiler-profile.md.
Validate the artifact with scripts/validate_ara.py.
Fix validation failures unless the user explicitly accepts them.
Ingest the validated artifact directory with ov add-resource directly.
Confirm the target with ov stat/ov tree and return the artifact path, OV target/root URI, validation result, ingest result, and any unresolved gaps.

Output Contract

The generated artifact must include:

PAPER.md
logic/problem.md, logic/claims.md, logic/concepts.md, logic/experiments.md, logic/related_work.md
logic/solution/constraints.md
src/environment.md
trace/exploration_tree.yaml
evidence/README.md
Markdown plus PNG evidence files for every filed numbered table and figure

The final response must include the ov add-resource command result, or the recovery checks proving the target landed despite a broken --wait, or the exact blocker that prevented ingestion.

Verification

Run from this skill directory, or use an absolute path to the validator:

bash
python3 scripts/validate_ara.py <artifact-dir>

Then ingest with the OV CLI:

bash
ov add-resource <artifact-dir> --to viking://resources/papers/<slug> --wait --timeout 300

Before ingest, use ov -o json stat <target-uri> to check whether the target already exists. After ingest, verify with ov -o json stat <target-uri> and ov tree <target-uri>.

Permissions

Writing a new OpenViking resource is allowed when the user asked to add or ingest the paper.
Ask before intentionally reusing a target URI that may overwrite or replace an existing resource.
--skip-validation may be used only when the user explicitly accepts the listed validation errors.

Boundaries

Do not use ov add-skill; this skill creates paper resources, not OV skills.
Do not silently skip ov add-resource; if ingestion fails, report the command, error, and recovery path.
If ov add-resource --wait exits with a connection error after creating the target, do not immediately retry the same URI. Run ov stat, ov wait --timeout <seconds>, ov observer queue, and ov tree to determine whether ingestion completed.
Do not invent claims, evidence, source refs, code, numbers, or research history.
Do not overwrite an explicit existing OV target unless the user asked for that target.
Mark unsupported or unreadable content as unavailable instead of filling it in.

Runtime Resources

Load references/ara-compiler-profile.md before compiling the artifact.
Load references/openviking-ingest.md before running OV ingestion or debugging an ingestion failure.
Use scripts/validate_ara.py for deterministic checks.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ov Add Paper AI skill do?

Why use Ov Add Paper on TypingMind?

Because you install it once and use it with any model. Ov Add Paper is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ov Add Paper in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/volcengine/OpenViking/tree/main/examples/skills/ov-add-paper. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ov Add Paper?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ov Add Paper?

As many as you like. As long as a model supports skills, you can use Ov Add Paper with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ov Add Paper AI skill free?

Yes. It is published on GitHub by volcengine under the AGPL-3.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

ov-add-paper

Goal

Inputs

Workflow

Output Contract

Verification

Permissions

Boundaries

Runtime Resources

Bundled files

Frequently asked questions

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