nano-banana-pro-prompts-recommend-skill
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
Reverse image search (find image source, visually similar images). Use when user provides an image and wants to find its origin, similar images, or verify authenticity. Supports Yandex, Google, and Bing engines. Works with both URLs and local files. No API key required.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install gushu333/reverse-image-searchInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Find the source, similar images, or context for any image using reverse image search engines.
On first use, create a Python venv and install the dependency:
SKILL_DIR="$(dirname "SKILL.md")"
python3 -m venv "$SKILL_DIR/scripts/.venv"
"$SKILL_DIR/scripts/.venv/bin/pip" install -q PicImageSearch
SKILL_DIR="$(dirname "SKILL.md")"
"$SKILL_DIR/scripts/.venv/bin/python3" "$SKILL_DIR/scripts/search.py" "<image_url_or_path>" [engine] [limit]
yandex (default, most reliable), google, bing, or all
Output is JSON with matched results including title, URL, thumbnail, and similarity when available.
yandex firstall
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# Reverse Image Search Find the source, similar images, or context for any image using reverse image search engines. ## Setup On first use, create a Python venv and install the dependency: ```bash SKILL_DIR="$(dirname "SKILL.md")" python3 -m venv "$SKILL_DIR/scripts/.venv" "$SKILL_DIR/scripts/.venv/bin/pip" install -q PicImageSearch ``` ## Usage ```bash SKILL_DIR="$(dirname "SKILL.md")" "$SKILL_DIR/scripts/.venv/bin/python3" "$SKILL_DIR/scripts/search.py" "<image_url_or_path>" [engine] [limit] ``` - **image_url_or_path**: HTTP(S) URL or local file path - **engine**: `yandex` (default, most reliable), `google`, `bing`, or `all` - **limit**: Max results per engine (default: 10) Output is JSON with matched results including title, URL, thumbnail, and similarity when available. ## Engine Selection - **yandex** — Best overall: most stable, good at finding exact matches and similar images - **google** — Good for well-known images, web pages, products - **bing** — Useful as supplementary source - **all** — Query all three engines in parallel ## Typical Workflow 1. User provides image (URL or file attachment) 2. Run search with `yandex` first 3. If results are insufficient, retry with `all` 4. Summarize findings: source, context, similar images
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
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