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.
Read and write flomo memos on macOS. Use when user asks to fetch recent flomo notes, search memo text in local flomo cache, or create/write a new memo to flomo via incoming webhook or URL scheme.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install dotheworknow/openclaw-flomo-skillExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Use this skill on macOS to read and write flomo content.
python3 scripts/flomo_tool.py read --remote --limit 20
python3 scripts/flomo_tool.py read --remote --limit 100 --query "关键词"
python3 scripts/flomo_tool.py read --remote --limit 10 --tag "日记"
python3 scripts/flomo_tool.py read --dump-tags --limit 20
python3 scripts/flomo_tool.py write --content "内容"
python3 scripts/flomo_tool.py write --content "内容" --url-scheme
python3 scripts/flomo_tool.py verify --try-webhook --query "#openclaw"
--tag; --query "#标签" is also supported.Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
This folder is a shareable OpenClaw skill that can read and write flomo memos on macOS.
read --remote now auto-expands the query window (1d -> 7d -> 30d -> 180d -> 365d -> 5y) until enough results are found.read --tag "xxx" for exact tag intent.read --query "#xxx" is also treated as tag query for backward compatibility.read --dump-tags --limit N returns top tags with counts, to quickly verify how many memos are available per tag.updated_at (then created_at) descending before applying --limit.FLOMO_SINCE_SECONDS behavior changed:
0 (default) means auto-expand window.>0 forces a fixed query window./api/v1/memo/updated/) using your local flomo desktop login state.https://flomoapp.com/iwh...).curl availableaccess_token or your incoming webhook URL.~/Library/Containers/com.flomoapp.m/Data/Library/Application Support/flomo/config.json
config.json with anyone.mkdir -p ~/.openclaw/workspace/skills/flomo
rsync -a --delete ./openclaw-flo...
# flomo Use this skill on macOS to read and write flomo content. ## Commands - Read recent memos (remote API, recommended; auto-expands time window): ```bash python3 scripts/flomo_tool.py read --remote --limit 20 ``` - Search recent memos by keyword (remote API): ```bash python3 scripts/flomo_tool.py read --remote --limit 100 --query "关键词" ``` - Read by tag (recommended for diary/book/etc): ```bash python3 scripts/flomo_tool.py read --remote --limit 10 --tag "日记" ``` - List top tags (to see how many memos each tag has): ```bash python3 scripts/flomo_tool.py read --dump-tags --limit 20 ``` - Write memo (auto-resolve incoming webhook from local flomo login state): ```bash python3 scripts/flomo_tool.py write --content "内容" ``` - Write memo via URL scheme (opens flomo app draft): ```bash python3 scripts/flomo_tool.py write --content "内容" --url-scheme ``` - One-shot health check (read + write-url-scheme dry flow): ```bash python3 scripts/flomo_tool.py verify --try-webhook --query "#openclaw" ``` ## Behavior Rules - Prefer webhook write; script can auto-resolve webhook when logged in on this Mac. - Use URL scheme write only as fallback, because it requires GUI interaction to confirm/save. - Read path uses remote API first and can auto-expand search window for sparse tags/keywords. - For tag intent, prefer `--tag`; `--query "#标签"` is also supported. - Never print full webhook URL in logs; only print masked form.
# OpenClaw flomo Skill (Read + Write) [English](README.md) | [中文](README.zh-CN.md) This folder is a shareable OpenClaw skill that can **read and write flomo memos on macOS**. ## What's New (2026-02-11) - Improved read reliability for sparse tags/keywords: - `read --remote` now auto-expands the query window (`1d -> 7d -> 30d -> 180d -> 365d -> 5y`) until enough results are found. - Added first-class tag filter: - `read --tag "xxx"` for exact tag intent. - `read --query "#xxx"` is also treated as tag query for backward compatibility. - Added tag diagnostics: - `read --dump-tags --limit N` returns top tags with counts, to quickly verify how many memos are available per tag. - Sorting and truncation behavior is stabilized: - Results are sorted by `updated_at` (then `created_at`) descending before applying `--limit`. - `FLOMO_SINCE_SECONDS` behavior changed: - `0` (default) means auto-expand window. - `>0` forces a fixed query window. ## What It Does - **Read**: fetch recent memos via flomo's API (`/api/v1/memo/updated/`) using your local flomo desktop login state. - **Write**: create memos via flomo **incoming webhook** (`https://flomoapp.com/iwh...`). - **Verify**: end-to-end check (remote read + webhook write + readback hit). ## Requirements - macOS - flomo desktop app installed and **logged in** - `curl` available - OpenClaw (optional, but recommended) ## Security Model (Important) - This skill **does not include** your `access_token` or your `incoming webhook` URL. - The script reads your local flomo app config on *your machine* (default path): - `~/Library/Containers/com.flomoapp.m/Data/Library/Application Support/flomo/config.json` - The script fetches your incoming webhook path from flomo API on-demand. - Do **not** share your local flomo `config.json` with anyone. ## Install (OpenClaw) 1. Copy this folder to the OpenClaw workspace skills directory: ```bash mkdir -p ~/.openclaw/workspace/skills/flomo rsync -a --delete ./openclaw-flo...
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
AI Agent Orchestrator with Skills System - Give AI Agents superpowers: memory search, code graph queries, agent-to-agent messaging. Manage Claude, Codex or any AI Agent from one dashboard. Move Agents between c...
AI agent skills for the Universal Registry - search, chat, and register 72,000+ agents across 14+ protocols. Works with Claude, Codex, Cursor, OpenClaw, and any AI assistant.
A cross-platform skills manager for AI IDEs. Search marketplace, download locally, and install to Claude, Cursor, Windsurf, and more with one click.