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.
Local hybrid search for markdown notes and docs. Use when searching notes, finding related content, or retrieving documents from indexed collections.
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 emcmillan80/qmd-markdown-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.
Local search engine for Markdown notes, docs, and knowledge bases. Index once, search fast.
qmd search (BM25). It's typically instant and should be the default.qmd vsearch only when keyword search fails and you need semantic similarity (can be very slow on a cold start).qmd query unless the user explicitly wants the highest quality hybrid results and can tolerate long runtimes/timeouts.brew install sqlite (SQLite extensions)$HOME/.bun/bin
Install Bun (macOS): brew install oven-sh/bun/bun
bun install -g https://github.com/tobi/qmd
qmd collection add /path/to/notes --name notes --mask "**/*.md"
qmd context add qmd://notes "Description of this collection" # optional
qmd embed # one-time to enable vector + hybrid search
**/*.md).qmd search (default): fast keyword match (BM25)qmd vsearch (last resort): semantic similarity (vector). Often slow due to local LLM work before the vector lookup.qmd query (generally skip): hybrid search + LLM reranking. Often slower than vsearch and may timeout.qmd search is typically instant.qmd vsearch can be ~1 minute on some machines because query expansion may load a local model (e.g., Qwen3-1.7B) into memory per run; the vector lookup itself is usually fast.qmd query adds LLM...These signals come from indexed source analysis and may lag behind changes. Check the current source files.
This repository contains a Codex/Clawd skill definition for qmd (Quick Markdown Search).
SKILL.md
Import or install this skill in your Codex/Clawd environment by pointing to this repo and reading SKILL.md.
# qmd - Quick Markdown Search Local search engine for Markdown notes, docs, and knowledge bases. Index once, search fast. ## When to use (trigger phrases) - "search my notes / docs / knowledge base" - "find related notes" - "retrieve a markdown document from my collection" - "search local markdown files" ## Default behavior (important) - Prefer `qmd search` (BM25). It's typically instant and should be the default. - Use `qmd vsearch` only when keyword search fails and you need semantic similarity (can be very slow on a cold start). - Avoid `qmd query` unless the user explicitly wants the highest quality hybrid results and can tolerate long runtimes/timeouts. ## Prerequisites - Bun >= 1.0.0 - macOS: `brew install sqlite` (SQLite extensions) - Ensure PATH includes: `$HOME/.bun/bin` Install Bun (macOS): `brew install oven-sh/bun/bun` ## Install `bun install -g https://github.com/tobi/qmd` ## Setup ```bash qmd collection add /path/to/notes --name notes --mask "**/*.md" qmd context add qmd://notes "Description of this collection" # optional qmd embed # one-time to enable vector + hybrid search ``` ## What it indexes - Intended for Markdown collections (commonly `**/*.md`). - In our testing, "messy" Markdown is fine: chunking is content-based (roughly a few hundred tokens per chunk), not strict heading/structure based. - Not a replacement for code search; use code search tools for repositories/source trees. ## Search modes - `qmd search` (default): fast keyword match (BM25) - `qmd vsearch` (last resort): semantic similarity (vector). Often slow due to local LLM work before the vector lookup. - `qmd query` (generally skip): hybrid search + LLM reranking. Often slower than `vsearch` and may timeout. ## Performance notes - `qmd search` is typically instant. - `qmd vsearch` can be ~1 minute on some machines because query expansion may load a local model (e.g., Qwen3-1.7B) into memory per run; the vector lookup itself is usually fast. - `qmd query` adds LLM...
# QMD Skill This repository contains a Codex/Clawd skill definition for **qmd** (Quick Markdown Search). - Skill file: `SKILL.md` - Homepage: https://github.com/tobi/qmd ## Usage Import or install this skill in your Codex/Clawd environment by pointing to this repo and reading `SKILL.md`.
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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