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Riverpod: Cancel and Debounce Async Requests
Development
Learn to cancel or debounce Riverpod async requests using ref.onDispose and auto-dispose providers to handle page exits and rapid refreshes.
MemoClaw - Persistent Memory for AI Agents
Development
Persistent memory for AI agents with semantic vector search. Store facts and retrieve them by meaning similarity, no API keys – your wallet is your identity. Best for maintaining context across agent sessions or sharing memories between multiple agents with built-in deduplication and configurable TTL.
Checkpoint Session Save
Productivity
Mid-flow session save that writes down progress, updates CLAUDE.md files, commits with chore(checkpoint):, and gives an insurance prompt without ending the session.
Game Design Principles and GDD
Content
Fundamentals of game design: core loops, GDD structure, player motivation, difficulty balancing, and progression systems.
Generate Statistical Tables
Data & AI
Generate publication-ready statistical tables using gt, kableExtra, or flextable. Covers descriptive statistics, regression, ANOVA, correlation matrices, and APA formatting.
Helm Chart Scaffolding
DevOps
Comprehensive guidance for creating, organizing, and managing Helm charts for packaging and deploying Kubernetes applications.
Mobile Skill
Development
A skill for mobile development. Basic instructions for the agent.
Frontend CSS Patterns
Development
Framework-agnostic CSS patterns for typography, color, motion, and spatial composition to create distinctive visual designs.
SEO and AEO Content Analysis
Content
Analyze content for search engine and AI discoverability. Evaluates titles, meta descriptions, headings, and AEO patterns for blogs, docs, and what-is pages.
Quickly ship git changes
Development
Quickly add, commit, and push changes to the current branch in one command.
Trust & Reliability Animations
Development
Use when creating animations that build user confidence, establish credibility, and communicate dependability.
Google Cloud Vector Search 2.0
Data & AI
Introduction and implementation guide for Google Cloud Vector Search 2.0, covering embeddings, indexes, and querying.