productivity▌
6,493 indexed skills · max 10 per page
flutter-reducing-app-size
flutter/skills · Productivity
Measure and optimize Flutter app bundle size across platforms with analysis tools and reduction strategies. \n \n Generates detailed size analysis JSON files via --analyze-size flag to identify large packages, libraries, and assets contributing to bloat \n Visualize and compare builds using DevTools app size tool with treemap inspection and diff functionality to track optimization progress \n Supports Android (APK/AAB), iOS, and desktop platforms with platform-specific workflows, including iOS a
meme-factory
davila7/claude-code-templates · Productivity
Create memes using the free memegen.link API and textual meme formats.
architecture-review
srstomp/pokayokay · Productivity
Analyze, audit, and improve project structure.
cost-optimization
wshobson/agents · Productivity
Reduce cloud spending across AWS, Azure, GCP, and OCI through rightsizing, reserved capacity, and cost governance. \n \n Covers four optimization pillars: visibility (tagging, dashboards, alerts), rightsizing (utilization analysis, auto-scaling), pricing models (reserved instances, spot/preemptible, savings plans), and architecture patterns (serverless, managed services, tiered storage) \n Includes cloud-specific strategies: AWS reserved instances and savings plans (30–72% savings), Azure hybrid
nft-standards
wshobson/agents · Productivity
ERC-721 and ERC-1155 NFT standards with metadata, royalties, and advanced features. \n \n Covers both ERC-721 (unique tokens) and ERC-1155 (multi-token) standards with complete contract examples including minting, burning, and supply management \n Supports off-chain metadata via IPFS and on-chain metadata with SVG generation, plus EIP-2981 royalty implementation for marketplace compatibility \n Includes soulbound token patterns (non-transferable), dynamic NFTs with evolving state, and gas-optimi
news-aggregator-skill
cclank/news-aggregator-skill · Productivity
Fetch and analyze real-time news from 28 global, AI, finance, and podcast sources with deep Chinese-language reports. \n \n Supports 28 sources across six categories: global news (Hacker News, GitHub, Weibo), AI/tech (Hugging Face Papers, newsletters), finance (WallStreetCN), podcasts, and essays \n Three-step universal workflow: fetch data with keyword filtering, generate unified markdown reports in Simplified Chinese, and save to timestamped directories \n Pre-configured daily briefing profile
accessibility-compliance
wshobson/agents · Productivity
WCAG 2.2 compliance patterns for keyboard navigation, screen readers, mobile accessibility, and inclusive design. \n \n Covers WCAG 2.2 Levels A, AA, and AAA with specific success criteria, color contrast requirements (4.5:1 for normal text, 3:1 for large text), and minimum touch target sizing (44x44px) \n Includes five core implementation patterns: accessible buttons with focus indicators, modal dialogs with focus trapping, forms with error announcements, skip navigation links, and live regions
difficult-workplace-conversations
softaworks/agent-toolkit · Productivity
Structured framework for preparing, delivering, and following up on challenging workplace conversations. \n \n Three-phase approach covering preparation (clarify issue, check emotions, consider perspective), delivery (open neutrally, share perspective, listen actively, seek resolution), and followup (document agreements, check progress, maintain relationship) \n Includes the SBI model (Situation-Behavior-Impact) for framing feedback and guidance on managing your own emotions before difficult con
framework-selection
langchain-ai/langchain-skills · Productivity
Framework selection guide for LangChain, LangGraph, and Deep Agents layered architecture. \n \n Layered frameworks where LangChain provides foundation primitives, LangGraph adds orchestration and control flow, and Deep Agents adds planning, memory, file management, and skill delegation \n Decision table guides framework choice based on task complexity: LangChain for single-purpose agents, LangGraph for custom control flow and loops, Deep Agents for multi-step planning and persistent sessions \n
pulumi-arm-to-pulumi
pulumi/agent-skills · Productivity
Convert ARM templates, Bicep, or existing Azure resources to Pulumi infrastructure code. \n \n Handles complete ARM template conversion to Pulumi (TypeScript, Python, Go, C#, Java, or YAML) with support for parameters, variables, loops, conditionals, and nested templates \n Supports both azure-native (full API coverage) and azure (classic, simplified) providers; automatically selects the right provider for each resource \n Imports existing deployed Azure resources into Pulumi with zero-diff vali