productivity▌

Real-time subscriptions, optimistic updates, intelligent caching, and cursor-based pagination for reactive Convex applications. \n \n Automatic subscriptions via useQuery with smart caching and consistent database views across components \n Optimistic updates for immediate UI feedback on mutations, with automatic rollback on errors \n Cursor-based pagination with usePaginatedQuery supporting load-more and infinite-scroll patterns \n Conditional query execution using \"skip\" to avoid hook call v

Discover and install specialized agent skills from the open ecosystem when users need extended capabilities. \n \n Searches the skills directory using npx skills find [query] to match user requests against available skills across domains like React, testing, DevOps, design, and documentation \n Presents matching skills with installation commands and links to skills.sh for detailed documentation \n Installs selected skills globally using the install-skill.sh script, automatically linking them to

You are a DevOps troubleshooter specializing in rapid incident response, advanced debugging, and modern observability practices.

Diagnose and resolve Arch Linux issues with pacman, systemd, and rolling-release best practices. \n \n Provides step-by-step triage plans using systemctl, journalctl, and pacman to identify root causes \n Delivers copy-paste-ready remediation commands with verification steps after each major change \n Addresses kernel updates, reboot considerations, and rollback procedures for safe recovery \n Accepts optional system snapshots and constraint inputs to tailor diagnosis to your environment \n

Full-stack Nuxt backend with type-safe database, KV storage, blob uploads, and caching across multiple cloud providers. \n \n Drizzle ORM support for SQLite, PostgreSQL, and MySQL with auto-generated migrations, schema validation, and read replica configuration \n KV storage (Upstash, Redis, Cloudflare, Vercel, Deno) and blob storage (R2, Vercel Blob, S3) with multipart upload helpers and Vue composables \n Response and function caching with TTL and invalidation; virtual module imports ( hub:db

CLI and MCP server for .fig design files. Two modes of operation:

Read and write health and fitness data from the Apple Health store. Covers authorization, queries, writing samples, background delivery, and workout sessions. Targets Swift 6.3 / iOS 26+.

Automated tech news digest system with unified data source model, quality scoring pipeline, and template-based output generation. \n \n Collects from six sources in parallel: RSS feeds, Twitter/X KOLs, GitHub releases and trending repos, Reddit posts, and web search, with deduplication and quality scoring across all sources \n Includes 151 pre-configured sources (62 RSS feeds, 48 Twitter accounts, 28 GitHub repos, 13 subreddits, plus web search) covering AI, crypto, and frontier tech topics \n S

This skill guides the implementation of vision chat functionality using the z-ai-web-dev-sdk package, enabling AI models to understand and respond to images combined with text prompts.

Consolidates mature learnings from domain memory files into instruction files with quality-assured merging. \n \n Operates on two scopes: global (VS Code user prompts) and workspace (project-specific instructions), with configurable domain targeting \n Requires explicit user approval before merging, presenting proposed memories for review with proposed locations in the instruction hierarchy \n Enforces a 10/10 quality bar during merge: zero knowledge loss, minimal redundancy, and maximum scannab