productivity▌

Query Microsoft 365 data with natural language to surface emails, meetings, documents, Teams messages, and people insights. \n \n Supports five data sources: emails, meetings, documents, Teams channels, and people/projects with natural-language prompts \n Install via Copilot CLI plugin (preferred) or standalone npm package; requires Microsoft 365 tenant admin consent on first use \n Core workflow: clarify intent, craft precise prompts with timeframe/source, run workiq ask --question \"...\" , an

Here's a common workflow for using Replicate's API to run a model:

Educational comics with flexible art styles, tones, and panel layouts for knowledge storytelling. \n \n Supports five art styles (ligne-claire, manga, realistic, ink-brush, chalk) and seven tones (neutral, warm, dramatic, romantic, energetic, vintage, action) with compatibility guidance to avoid mismatched combinations \n Includes three preset shortcuts (ohmsha for tutorials, wuxia for martial arts, shoujo for romance) that apply special visual rules beyond style selection \n Auto-detects optima

基于 lark-cli 创建新 Skill。Skill = 一份 SKILL.md，教 AI 用 CLI 命令完成任务。

Writes an explicit entry to auto-memory when something is important enough that you don't want to rely on Claude noticing it automatically.

Techniques and patterns for crafting effective prompts across LLMs, image generators, and video models. \n \n Covers LLM prompting fundamentals: role assignment, task clarity, chain-of-thought reasoning, few-shot examples, output format specification, and constraint setting \n Image generation structure includes subject description, style keywords, composition control, quality modifiers, and negative prompt usage \n Video prompting guidance covers shot types, camera movement, action description,

Add educational comments to code files to transform them into effective learning resources. \n \n Adapts explanation depth and tone to three configurable knowledge levels: beginner, intermediate, and advanced \n Automatically requests a file if none is provided, with numbered list matching for quick selection \n Expands files by up to 125% using educational comments only (hard limit: 400 new lines; 300 for files over 1,000 lines) \n Preserves file encoding, indentation style, syntax correctness,

dd-monitors

Create concise, example-driven tldr pages from documentation URLs and command names. \n \n Requires both a command name and authoritative documentation URL; provides guidance if either is missing \n Extracts 5–8 most common use cases ordered by frequency, following strict tldr-pages project formatting standards \n Uses {{placeholder}} syntax for options, arguments, and user-provided values with specific conventions for flags, options with arguments, and subcommands \n Validates documentation sou

Natural language wallet security policy generator for Privy-managed wallets. \n \n Converts plain-language security requirements into Privy policy rule JSON, supporting transfer limits, address allowlists, method restrictions, chain constraints, and time windows \n Covers both EVM (Ethereum, Base, Arbitrum, Polygon, etc.) and Solana chains with dedicated condition types for each ecosystem \n Sends proposed policies to the frontend via wallet_propose_policy tool for user review and signature appr