flutter-performance-docs
A comprehensive optimization guide and best practices documentation for Flutter performance, covering build costs, rendering, list optimization, animations, and anti-patterns.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
154 skills found
A comprehensive optimization guide and best practices documentation for Flutter performance, covering build costs, rendering, list optimization, animations, and anti-patterns.
Framework for building AI agents that persist state across multiple context windows, enabling them to complete complex, multi-day coding tasks without losing progress or context.
Automated migration workflow from legacy Crowi (Express/Swig) to modern architecture (Next.js 16/Fastify/ts-rest).
Manage client relationships, track follow-ups, and automate personalized email drafts using Obsidian-based client profiles.
Resume a paused experimental loop by restoring branch context, loading configuration, reading history, and identifying optimization patterns for continued iteration.
Manage full PR lifecycles: auto-generate descriptions from commits, use work-type templates, handle review requests, and automate status updates.
Persistent, Git-friendly memory for Claude. Automatically store and retrieve project decisions, bug fixes, and coding patterns in a local .mv2 file.
Build durable, reliable serverless workflows using the Upstash Workflow SDK. Define endpoints, manage complex execution steps, and integrate with QStash for automatic retries and state management.
Translate research papers (markdown) while preserving LaTeX formulas, code blocks, and images, with support for batch processing, retries, and portable bundles.
Visual web workspace for roadmap management, providing interactive kanban boards and graph-based dependency views for task planning and project progress tracking.
Manage long-running PapersFlow DeepScan research workflows with asynchronous monitoring, live progress tracking, and automated report generation.
Autonomous iteration loop for AI software development. Executes tasks, validates code, and manages state until completion. Ideal for implementing complex PRP plans.