How do I install the Live Web Multimodal Information Seeking skill?

Run npx skillmds@latest add dingxingdi/live-web-multimodal-information-seeking-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Live Web Multimodal Information Seeking safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Live Web Multimodal Information Seeking?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Live Web Multimodal Information Seeking free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Live Web Multimodal Information Seeking?

dingxingdi (@dingxingdi) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Live Web Multimodal Information Seeking by dingxingdi

Name: Live Web Multimodal Information Seeking
Author: dingxingdi

Live Web Multimodal Information Seeking

Use this skill when the user wants questions that can only be solved by actually using the web page, video, image, map, tour, or other live interactive content. Trigger it for requests like “make it find the answer from the real page,” “don’t let search snippets be enough,” “use a video or interactive asset,” or “force browsing plus media understanding.” This skill is for GUI-browser tasks where the answer is buried in a specified source and must be extracted through real rendered interaction.

dingxingdi Updated Sep 17, 2026

File contents

Skill: live-web-multimodal-information-seeking

1. Capability Definition & Real Case

Professional Definition: The capability to locate, access, and extract a short factual answer from live web content through browser-based GUI interaction, including multimodal sources such as images, videos, or interactive assets. The agent must identify reliable sources, follow a viable browsing trajectory, and avoid unsupported shortcut answers from search snippets or unrelated summaries.
Dimension Hierarchy: Goal-Directed GUI Workflow Execution->Live Information Interaction->live-web-multimodal-information-seeking

Real Case

[Case 1]

Initial Environment: A browser session starts on the open web without the answer preloaded. The task points to a specific website section containing an interactive comparison over a historical document, and the agent must navigate to the intended source, inspect the document closely, and read a fine-grained textual detail from the rendered content.
Real Question: The Blog page of AI2's olmOCR website contains a section titled 'Interactive Tool Comparison' that allows the user to compare OCR tools on a 'Historical Document'. What is the exact text written below the horizontal line in the right margin of this document?
Real Trajectory: Find the correct blog page, navigate to the specified section, activate the comparison content, open or zoom the historical document far enough to inspect the right margin, and read the requested text directly from the source asset.
Why this demonstrates the capability: The answer is not recoverable from generic search snippets because the crucial evidence lives inside the specified rendered document view. The agent must combine source selection, navigation, and fine-grained multimodal inspection to reach the answer. That exact pattern is what live-web multimodal information seeking is meant to measure.

Pipeline Execution Instructions

To synthesize data for this capability, you must strictly follow a 3-phase pipeline. Do not hallucinate steps. Read the corresponding reference file for each phase sequentially:

Phase 1: Environment Exploration Read the exploration guidelines to discover raw knowledge seeds: references/EXPLORATION.md
Phase 2: Trajectory Selection Once Phase 1 is complete, read the selection criteria to evaluate the trajectory: references/SELECTION.md
Phase 3: Data Synthesis Once a trajectory passes Phase 2, read the synthesis instructions to generate the final data: references/SYNTHESIS.md

---name: live-web-multimodal-information-seeking-2description: Use this skill when the user wants questions that can only be solved by actually using the web page, video, image, map, tour, or other live interactive content. Trigger it for requests like “make it find the answer from the real page,” “don’t let search snippets be enough,” “use a video or interactive asset,” or “force browsing plus media understanding.” This skill is for GUI-browser tasks where the answer is buried in a specified source and must be extracted through real rendered interaction.---# Skill: live-web-multimodal-information-seeking## 1. Capability Definition & Real Case* **Professional Definition**: The capability to locate, access, and extract a short factual answer from live web content through browser-based GUI interaction, including multimodal sources such as images, videos, or interactive assets. The agent must identify reliable sources, follow a viable browsing trajectory, and avoid unsupported shortcut answers from search snippets or unrelated summaries.* **Dimension Hierarchy**: Goal-Directed GUI Workflow Execution->Live Information Interaction->live-web-multimodal-information-seeking### Real Case**[Case 1]*** **Initial Environment**: A browser session starts on the open web without the answer preloaded. The task points to a specific website section containing an interactive comparison over a historical document, and the agent must navigate to the intended source, inspect the document closely, and read a fine-grained textual detail from the rendered content.* **Real Question**: The Blog page of AI2's olmOCR website contains a section titled 'Interactive Tool Comparison' that allows the user to compare OCR tools on a 'Historical Document'. What is the exact text written below the horizontal line in the right margin of this document?* **Real Trajectory**: Find the correct blog page, navigate to the specified section, activate the comparison content, open or zoom the historical document far enough to inspect the right margin, and read the requested text directly from the source asset.* **Why this demonstrates the capability**: The answer is not recoverable from generic search snippets because the crucial evidence lives inside the specified rendered document view. The agent must combine source selection, navigation, and fine-grained multimodal inspection to reach the answer. That exact pattern is what live-web multimodal information seeking is meant to measure.## Pipeline Execution InstructionsTo synthesize data for this capability, you must strictly follow a 3-phase pipeline. **Do not hallucinate steps.** Read the corresponding reference file for each phase sequentially:1. **Phase 1: Environment Exploration** Read the exploration guidelines to discover raw knowledge seeds: `references/EXPLORATION.md`2. **Phase 2: Trajectory Selection** Once Phase 1 is complete, read the selection criteria to evaluate the trajectory: `references/SELECTION.md`3. **Phase 3: Data Synthesis** Once a trajectory passes Phase 2, read the synthesis instructions to generate the final data: `references/SYNTHESIS.md`

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