visual-asset-discovery

Translates marketing strategy into iterative visual-search queries for discovering footage and stock assets.

Updated Aug 28, 2026
One-click install
npx skills add https://github.com/nugiwabot/marketing-branding-selling-ads-skills --skill visual-asset-discovery-nugiwabot
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: visual-asset-discovery
Source: https://github.com/nugiwabot/marketing-branding-selling-ads-skills/tree/main/.agents/skills/visual-asset-discovery
Command: npx skills add https://github.com/nugiwabot/marketing-branding-selling-ads-skills --skill visual-asset-discovery-nugiwabot

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Marketing teams often struggle to find visual assets that genuinely support a campaign's strategic message, defaulting to literal keyword searches or forcing prewritten headlines onto footage that does not fit. This Skill provides a repeatable method for converting strategic intent into observable visual situations and search queries, then evaluating retrieved assets against the strategy before finalizing the story. ## Core Features & Use Cases - Strategy-to-Situation Translation: Converts abstract marketing objectives, audience states, and emotional territories into observable scenes a camera could actually capture. - Query Family Generation: Builds multiple layered search formulations (broad semantic, concrete scene, action-based, contextual) matched to the retrieval system, whether stock libraries, subtitle databases, or scene-description search. - Asset Evaluation and Alignment Scoring: Assesses retrieved candidates across strategic, visual, emotional, narrative, brand, and practical fit, then derives the final headline or edit direction from what the asset can truthfully support. - Use Case: A content team needs footage expressing "quiet confidence for a fintech brand." The Skill decomposes this into searchable situations, generates query families for a stock library, evaluates returned clips, and adapts the final caption to the selected asset's actual meaning. ## Quick Start Use the visual-asset-discovery skill to turn this campaign brief into a visual search plan with query families and evaluation criteria for finding supporting footage.

Frequently Asked Questions about visual-asset-discovery

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find stock footage that matches a marketing strategy?

Convert the strategy's abstract meaning into observable visual situations, then decompose them into search dimensions like subject, action, setting, and emotion. Build multiple query families from broad to concrete and iterate based on what the search results actually depict.

How to write search queries for video and stock asset libraries?

Match query language to the retrieval system: use dialogue-like phrasing for transcript databases, concrete observable events for scene-description search, and concise visual descriptors for stock libraries. Generate several formulations of the same intent rather than relying on one sentence.

Can this method work with any stock or media database?

Yes, the procedure is source-agnostic and does not depend on a fixed keyword bank or specific media catalog. It adapts query formulation to whatever retrieval dimensions the source offers, such as transcripts, metadata, filters, or scene descriptions.

What should I do when retrieved footage does not match my headline?

Do not force a prewritten headline onto footage that cannot support it. Derive the final expression from the intersection of the original strategic intent, the asset's actual meaning, and brand boundaries, or return to searching if no candidate fits.

Does finding an asset in a search system mean I can use it commercially?

No, availability in a search system does not establish usage rights. The skill distinguishes discovery from licensing, so you must separately verify commercial rights for copyrighted media before production use.