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Found 973 Skills
Page components, persistent layouts, Link/router navigation, Head, Deferred, WhenVisible, InfiniteScroll, and URL-driven state for Inertia Rails. React examples inline; Vue and Svelte equivalents in references. Use when building pages, adding navigation, implementing persistent layouts, infinite scroll, lazy-loaded sections, or working with client-side Inertia APIs (router.reload, router.replaceProp, prefetching).
Expertise in real-time multiplayer networking, lag compensation, and authoritative server architectureUse when "multiplayer game, netcode, client-server game, P2P networking, lag compensation, rollback networking, game server, matchmaking, lobby system, player synchronization, state replication, dedicated server, authoritative server, tick rate, network prediction, interpolation, extrapolation, GGPO, lockstep, real-time multiplayer, networking, multiplayer, gamedev, realtime, client-server, p2p, netcode, synchronization, lag-compensation, matchmaking" mentioned.
Configure auto-configure Ollama when user needs local LLM deployment, free AI alternatives, or wants to eliminate hosted API costs. Trigger phrases: "install ollama", "local AI", "free LLM", "self-hosted AI", "replace OpenAI", "no API costs". Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
Turso (Limbo) database helper — an in-process SQLite-compatible database written in Rust. Formerly known as libSQL / libsql. Replaces @libsql/client, libsql-experimental for Turso use cases. Works in Node.js, browser (WASM + OPFS for persistent local storage), React Native, and server-side. Features: vector search, full-text search, CDC, MVCC, encryption, remote sync. SDKs: JavaScript (@tursodatabase/database), Browser/WASM (@tursodatabase/database-wasm), React Native (@tursodatabase/sync-react-native), Rust (turso), Python (pyturso), Go (tursogo). This skill contains all SDK documentation needed to use Turso — do NOT search the web for Turso/libsql docs.
Plan and review MySQL/InnoDB schema, indexing, query tuning, transactions, and operations. Use when creating or modifying MySQL tables, indexes, or queries; diagnosing slow/locking behavior; planning migrations; or troubleshooting replication and connection issues.
Design, refactor, and review Effector state management using modern v23+ patterns. Use when tasks involve createStore/createEvent/createEffect modeling, dataflow with sample/attach/split, scope-safe SSR with fork/allSettled/serialize/hydrate, React integration with useUnit, Solid/Vue integration patterns, fixing scope loss, or replacing anti-patterns such as business logic in watch, imperative calls in effects, and direct getState business reads.
Scrape social media profiles, posts, comments, followers, and search across 6 platforms via x402. USE FOR: - Getting TikTok, Instagram, X/Twitter, Facebook, Reddit, or LinkedIn profiles - Fetching a user's posts, stories, highlights, or videos - Getting comments, replies, and reactions on posts - Listing followers and following for any account - Searching posts, hashtags, profiles, jobs, and ads across platforms - Cross-platform social media research and monitoring TRIGGERS: - "tiktok", "instagram", "facebook", "linkedin profile", "linkedin posts" - "get followers", "who follows", "following list" - "scrape profile", "get posts from", "social media data" - "instagram stories", "tiktok videos", "facebook page" - "linkedin company", "linkedin jobs", "linkedin ads" - "cross-platform", "social media research" IMPORTANT: StableSocial uses an async two-step flow. Step 1: POST triggers data collection (paid, $0.06). Step 2: Poll GET /api/jobs?token=... until finished (free). All endpoints are $0.06 per call. Use `npx agentcash fetch` for paid POST triggers. Use `npx agentcash fetch` for free GET polling. IMPORTANT: Use exact endpoint paths from the Quick Reference tables below. All paths include a platform prefix (e.g. `https://stablesocial.dev/api/tiktok/...`).
C++ Reinforcement Learning best practices using libtorch (PyTorch C++ frontend) and modern C++17/20. Use when: - Implementing RL algorithms in C++ for performance-critical applications - Building production RL systems with libtorch - Creating replay buffers and experience storage - Optimizing RL training with GPU acceleration - Deploying RL models with ONNX Runtime
Automate Gmail tasks via Rube MCP (Composio): send/reply, search, labels, drafts, attachments. Always search tools first for current schemas.
Find and replace code patterns structurally using ast-grep. Use when you need to match code by its AST structure (not just text), such as finding all functions with specific signatures, replacing API patterns across files, or detecting code anti-patterns that regex cannot reliably match.
Conduct Failure Mode and Effects Analysis (FMEA) for systematic identification and risk assessment of potential failures in designs, processes, or systems. Supports DFMEA (Design), PFMEA (Process), and FMEA-MSR (Monitoring & System Response). Uses AIAG-VDA 7-step methodology with Action Priority (AP) risk assessment replacing traditional RPN. Use when analyzing product designs for potential failures, evaluating manufacturing process risks, conducting proactive risk assessment, preparing for APQP/PPAP submissions, investigating field failures, or when user mentions "FMEA", "failure mode", "DFMEA", "PFMEA", "severity occurrence detection", "RPN", "Action Priority", "design risk analysis", or needs to identify and prioritize potential failure modes with their causes and effects.
Manages Atlassian Jira and Confluence via the Rovo MCP Server. Handles MCP setup, OAuth authentication, and troubleshooting. Runs agentic project management: Confluence plans, Jira Epics with child tickets, agent team coordination, and resuming interrupted work from Jira state. Supports uploading images/attachments to Confluence pages via REST API. Reads and writes Confluence page comments (footer, inline, reply threads). Creates git branches linked to Jira tickets (GitHub and Bitbucket). Use this skill whenever the user mentions Jira, Confluence, Atlassian, tickets, epics, sprints, project boards, wiki pages, or Confluence spaces. Also trigger when the user wants to plan a project, break work into tasks, track progress, resume interrupted work, upload images to wiki pages, manage comments on Confluence pages, or create git branches linked to tickets — even if they don't mention Atlassian by name.