productivity▌

Friendly onboarding when users ask about capabilities.

Research-backed customer personas with demographics, psychographics, jobs-to-be-done, and avatar generation. \n \n Provides a structured template covering demographics, psychographics, goals, pain points, buying triggers, and anti-personas for market segmentation \n Integrates with inference.sh CLI to research market data via Tavily and Exa search, then generate realistic persona avatars using Flux image generation \n Includes step-by-step guidance for validating personas through customer interv

Skill by ara.so — Daily 2026 Skills collection.

You are helping the user catch up on their Readwise Reader RSS feed. Follow this process carefully.

$22

This skill teaches agents how to assess task complexity, enforce quality gates, and prevent wasted work on incomplete or poorly-defined tasks.

Send team announcements simultaneously via Gmail and Google Chat. \n \n Combines email and chat messaging in a single workflow, ensuring announcements reach team members through both channels \n Requires gws-gmail and gws-chat skills to be loaded; uses the gws binary for command execution \n Typical pattern: send formatted email to a distribution list, then post a notification message to a Google Chat space with optional emoji and summary text \n

Convert request on Binance using authenticated API endpoints. Requires API key and secret key for certain endpoints. Return the result in JSON format.

Text-to-image and image-to-image generation using FLUX models via inference.sh CLI. \n \n Supports multiple FLUX variants: Dev LoRA (highest quality), Klein LoRA (fastest), and Pruna-optimized versions ranging from 4B to full-size models \n Enables LoRA fine-tuning for custom style adaptation and image-to-image transformations alongside standard text-to-image generation \n Requires inference.sh CLI ( infsh ) installation and authentication; models are invoked as named apps with JSON input payloa

reader-recap