productivity▌

Search and retrieve tweets, user profiles, followers, communities, spaces, and trends from Twitter/X. \n \n Covers 30+ commands across user profiles, tweets, lists, communities, and spaces with configurable result limits \n Supports advanced tweet search with filters for date ranges, media, engagement thresholds, and user-specific queries \n Includes thread extraction, quote/retweet retrieval, relationship checking, and trend lookups by geographic region \n Requires API key from twitterapi.io (~

Security audit patterns for authorization, data access, action isolation, rate limiting, and sensitive operations in Convex applications. \n \n Covers five core security areas: role-based access control with hierarchical permissions, data access boundaries with ownership verification, action isolation for external API calls, rate limiting with configurable windows, and two-factor confirmation for destructive operations \n Includes complete TypeScript examples for RBAC implementation, permission-

Proactive code review tool that analyzes git diffs and conversation history to catch implementation issues. \n \n Runs via CLI with support for OpenCode, Codex, and Claude Code session history integration \n Analyzes full git diffs against a base commit and cross-references conversation context to identify misalignments between requested and implemented changes \n Configurable confidence thresholds, multiple output formats (text, JSON, GitHub), and support for custom or community-defined LLM mod

A comprehensive workflow for finalizing code changes before creating a PR. This skill ensures code quality, consistency with codebase patterns, and removes common AI-generated artifacts.

AI-driven engineering workflows with eval-first execution, task decomposition, and cost-aware model routing. \n \n Defines an eval-first loop: establish baseline evals before implementation, then re-run post-execution to measure deltas and catch regressions \n Decomposes work into 15-minute units with single dominant risks, independent verifiability, and clear done conditions \n Routes tasks by complexity: Haiku for classification and boilerplate, Sonnet for implementation, Opus for architecture

Pragmatic patterns for building multiplayer games: matchmaking, tick loops, realtime state, interest management, and validation. \n \n Includes starter code and architecture patterns for 10 game types (battle royale, arena, IO style, open world, party, physics 2D/3D, ranked, turn-based, idle) with actor topology, lifecycle diagrams, and netcode strategies. \n Covers server simulation fundamentals: fixed realtime loops vs. action-driven updates, physics engine selection (Rapier 2D/3D), and spatia

Modern Android development with Kotlin coroutines, Jetpack Compose, dependency injection, and structured testing. \n \n Covers three-layer architecture (data, domain, UI) with Hilt for dependency injection and Room for local persistence \n Jetpack Compose for declarative UI with StateFlow-based state management and lifecycle-aware collection patterns \n Coroutines and Flow for asynchronous operations, including repository patterns with network-first and cache-first strategies \n MockK and Turbin

Create consistent, credible investor materials aligned to a single source of truth. \n \n Covers pitch decks, one-pagers, investor memos, financial models, accelerator applications, and use-of-funds tables \n Enforces cross-document consistency by establishing canonical facts (traction, pricing, raise size, team, milestones) before drafting \n Includes structured guidance for each asset type, from pitch deck slide order to financial model assumptions and sensitivity analysis \n Flags common red

Static analysis security scanner that identifies OWASP vulnerabilities across backend, frontend, mobile, and library code. \n \n Scans for SQL injection, XSS, BOLA, BFLA, SSRF, prototype pollution, unsafe deserialization, ReDoS, path traversal, and zip slip vulnerabilities \n Three scan depths available: quick (default), balanced, and full, with token usage warnings for comprehensive scans \n Automated workflow: plans vulnerability vectors per project type, nominates candidate files, analyzes fi

Discover, analyze, and fix production issues using Sentry's full debugging capabilities. \n \n Integrates with Sentry MCP to search issues, retrieve stack traces, breadcrumbs, traces, and AI-generated root cause analysis across your project \n Follows a structured seven-phase workflow: discovery, deep analysis, hypothesis formation, code investigation, implementation, verification, and reporting \n Treats all Sentry event data as untrusted external input; enforces security constraints against em