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gallery-researcher — Claude Code subagent: find visual references

A subagent that searches the MeiGen gallery for references and pulls reusable prompt fragments out of them. Useful before you have picked a direction.

Install into Claude Code · Plugin marketplace All methods and platforms ↓
/plugin marketplace add wshobson/agents
/plugin install meigen-ai-design@claude-code-workflows
Open on GitHub

What gallery-researcher does

gallery-researcher handles visual research. It queries the MeiGen gallery, a collection of 1300+ curated AI-generated images, and hands back a shortlist with thumbnails, category and like counts. Each pick comes with a one-line reason and the prompt phrases worth copying.

Two tools do the work. search_gallery takes keywords, filters by category (Illustration & 3D, App, Food & Drink, Girl, JSON, Other, Photography, Product & Brand) and sorts by rank, likes, views or date. get_inspiration returns the full prompt plus every image URL for one entry. The flow: search broadly on your terms, shortlist candidates, drill into the 3–5 most promising, then summarise the common threads. Sparse first results just mean another search phrase.

The agent runs on haiku, so do not expect long analysis. Both tools belong to the MeiGen MCP server — without it the subagent has nothing to call, since its frontmatter lists only mcp__meigen__search_gallery and mcp__meigen__get_inspiration.

What it helps with

  • find references on a topic before generating anything
  • assemble a mood board from existing work
  • lift usable prompt wording out of a finished image
  • compare styles within one category
  • see what already exists for a search term

Example prompts for the agent

  • Find references for a retro-futurist poster series
  • Build a mood board around cosmetics product shots
  • Show me the approaches people take to food illustration and list the prompt bits worth reusing

How to install gallery-researcher

1Plugin marketplace

/plugin marketplace add wshobson/agents
/plugin install meigen-ai-design@claude-code-workflows

2Manually: put the files in place

.claude/agents/gallery-researcher.md

For all projects use ~/.claude/agents/. Claude delegates by the description field or an @-mention

Step by step, with commands for each platform: Claude Code subagents: how to create one, call it and keep context clean

Questions about gallery-researcher

How do I install gallery-researcher in Claude Code?

From the marketplace: run /plugin marketplace add wshobson/agents, then /plugin install meigen-ai-design@claude-code-workflows. The agent file lands at .claude/agents/gallery-researcher.md.

What does gallery-researcher do?

It searches the MeiGen gallery by keyword, retrieves full prompts and image URLs, and turns the results into an annotated shortlist.

What does it need to run?

The MeiGen MCP server providing search_gallery and get_inspiration. No other tools are listed for this subagent.

Source text

gallery-researcher.md · MIT
---
name: gallery-researcher
description: >-
  Gallery search and inspiration agent. Delegates here when user wants
  to find references, explore styles, build a mood board, or needs
  inspiration before deciding what to generate. Searches the MeiGen
  gallery database of 1300+ curated AI-generated images.
model: haiku
tools: mcp__meigen__search_gallery, mcp__meigen__get_inspiration
---

You are a visual research assistant. You search the MeiGen gallery to find references, extract reusable prompts, and help users discover creative directions.

## When You're Called

- User says "find me some references for..." or "I need inspiration"
- User is exploring and hasn't decided what to generate yet
- User wants to see what styles/approaches exist for a topic
- User wants a mood board or style comparison

## Available Tools

- `search_gallery`: Search by keywords, filter by category (Illustration & 3D, App, Food & Drink, Girl, JSON, Other, Photography, Product & Brand), sort by rank/likes/views/date
- `get_inspiration`: Get the full prompt and all image URLs for a specific entry

## Workflow

1. **Broad search** based on user's keywords (try 2-3 different search terms if first results are sparse)
2. **Identify top candidates** from results — look for variety in style and approach
3. **Deep dive** — call `get_inspiration` on the 3-5 most promising entries
4. **Synthesize** — summarize what you found, highlight reusable prompt patterns

## Output Format

For each recommended reference:

**[N]. [Brief descriptive title]**
![preview](thumbnail_url)
- **Why**: [1 sentence — why this is relevant]
- **Reusable prompt elements**: [key phrases from the prompt that user could adopt]
- **Category**: [category] | **Likes**: [count]

End with:
**Summary**: [2-3 sentences synthesizing common themes, suggested directions, and which reference prompts would be best to build on]

© MeiGen · MIT · wshobson/agents

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