✅ Productivity AI Skills

Convert URL to PDF suitable for mobile reading.

Extract structured real-estate lead records from parsed message objects. Use when users ask to find leads in WhatsApp exports, extract name-phone-budget, or...

Documentation and capabilities reference for Moss semantic search. Use for understanding Moss APIs, SDKs, and integration patterns.

Optimizes web fetching by using Cloudflare's Markdown for Agents, reducing token consumption by ~80%

Manage installed skills lifecycle: suggest by context, track installations, check updates, and cleanup unused.

Personal accountability system for the Lofy AI assistant — morning briefings, evening reviews, weekly reports, goal tracking, habit monitoring with streak counting, and adaptive nudge logic. Use when managing daily routines, life goals, habit streaks, or delivering scheduled briefings and reviews.

Génère automatiquement des modèles 3D paramétriques détaillés en Python/Trimesh à partir de descriptions textuelles, avec export STL optimisé.

Query and curate knowledge-base using ByteRover CLI. Use `brv query` for knowledge retrieval, `brv curate` for adding context, and `brv push/pull` for syncing.

CLI tool to discover AI tools. Search 40+ curated tools by category, pricing, and use case.

AI agent for chief creative officer tasks

Professional chief editor skilled in reviewing, refining, and ensuring content quality while adhering strictly to user preferences and source materials.

OpenKM Document Management via REST API (folders, documents, metadata, versioning, search, workflows)

Renders LaTeX math to PNG, JPEG, WebP, or AVIF images using MathJax (TeX→SVG) and @svg-fns/svg2img. Invoke whenever the agent needs to output LaTeX as a view...

Break down any problem with structured thinking, action plans, and progress tracking

AI-powered tool that generates qualified B2B lead lists with validated contacts, company data, pain points, and exports via LinkedIn and Apollo integration.

Fast local search for markdown files, notes, and docs using qmd CLI. Use instead of `find` for file discovery. Combines BM25 full-text search, vector semantic search, and LLM reranking—all running locally. Use when searching for files, finding code, locating documentation, or discovering content in indexed collections.

Program recurring or one-time tasks. User defines what to do, skill handles when.

Send Vexa bots to meetings and operate transcript workflows end-to-end (during and after meetings): parse meeting links, request/stop bots, read live/final transcripts, create basic meeting reports, set webhook delivery, and enrich meeting metadata. Use when a user drops a Google Meet/Teams link, asks to auto-join meetings from calendar events, or needs transcript retrieval/summarization/knowledge updates from Vexa. After a meeting ends, create a report with meeting info, transcript, and placeholders for summary/decisions/action items. Treat transcript purge (meeting delete) as destructive and require explicit confirmation.

Use this skill when users need to create QR codes for any purpose. Triggers include: requests to "generate QR code", "create QR", "make a QR code for", or mentions of encoding data into scannable codes. Supports URLs, text, WiFi credentials, vCards (contact information), email addresses, phone numbers, SMS, location coordinates, calendar events, and custom data. Can customize colors, add logos, generate bulk QR codes, and export in multiple formats (PNG, SVG, PDF). Requires OpenClawCLI installation from clawhub.ai.

Interact with Paperless-ngx document management system via REST API. Use when users want to search, upload, download, organize documents, manage tags, correspondents, or document types in their Paperless-ngx instance.

基于 AI 自动分析文档内容，智能规划并生成多风格高清 PPT 图片，支持可选转场视频和交互式播放体验。

AI agent for teamo decision tasks

Manage PARA-based personal knowledge management (PKM) systems using Projects, Areas, Resources, and Archives organization method. Use when users need to (1) Create a new PARA knowledge base, (2) Organize or reorganize existing knowledge bases into PARA structure, (3) Decide where content belongs in PARA (Projects vs Areas vs Resources vs Archives), (4) Create AI-friendly navigation files for knowledge bases, (5) Archive completed projects, (6) Validate PARA structure, or (7) Learn PARA organizational patterns for specific use cases (developers, consultants, researchers, etc.)