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Found 2,163 Skills
Software Mansion's react-native-moq — Media over QUIC (MoQ) live streaming for React Native: sub-second-latency video/audio playback, camera/mic/screen publishing, and realtime data tracks over a MoQ relay. MUST USE before writing, reviewing, or debugging ANY code that uses react-native-moq or react-native-moq-ui. Trigger on: 'react-native-moq', 'MoQ', 'Media over QUIC', 'moq relay', 'moq-kit', 'useSession', 'useBroadcasts', 'useVideoPlayer', 'useAudioPlayer', 'usePublisher', 'useCamera', 'useMultiCamera', 'useMicrophone', 'useScreenBroadcast', 'useDataTrack', 'useDataMessages', 'useAudioChunks', 'useAudioSource', 'useVideoSource', 'VideoView', 'PublisherView', 'VideoPlayerView', 'BroadcastPickerView', 'createSession', 'createPublisher', 'subscribeBroadcasts'.
Turns support tickets, issue history and error telemetry into troubleshooting and error-reference pages a developer finds by pasting the error string - symptom, conditions, cause, fix and verification entries, an error-code catalog generated from one source of truth, and fixes wired back into the product's own error output. Use whenever the user mentions troubleshooting docs, documenting error codes, error message pages, a known-issues page, building an FAQ from support tickets, or "we answer the same question every week" - even if they only say "users keep hitting this error". Not for debugging a live incident. Do NOT use for docs search ranking - use samber/developer-relations-skills@docs-seo.
Builds voice and chat AI agents with LiveKit Agents and LiveKit Cloud. Use when the user asks to "build a voice agent", "create a LiveKit agent", "add voice AI to my app", "implement handoffs", "structure an agent workflow", "my agent is slow / too chatty", "it says it booked but nothing was saved", "make it confirm before committing", "it keeps re-asking things the caller already said", or is writing code against the LiveKit Agents SDK. Covers architecture: designing for latency, keeping context small, splitting a monolithic agent into handoffs and tasks, and designing for voice. Also covers keeping the model in charge of meaning while code owns state, approvals, and effects. For API specifics use reading-livekit-docs. To check behavior use debugging-livekit-agents and testing-livekit-agents.
Deploys and operates a LiveKit agent in production: shipping a version to LiveKit Cloud and rolling it back, secrets and configuration, the worker process model and prewarming, safe async inside worker processes, provider timeouts and degradation, graceful shutdown, SDK upgrades, and observability. Use when the user says "deploy my agent", "roll back the deployment", "tail the agent logs", "the first call after a restart is slow", "attached to a different loop / event loop is closed", "prewarm the VAD", "shut down without dropping calls", "upgrade livekit-agents safely", "correlate logs by session", or is changing an agent codebase that is already live. Not for designing the agent (building-livekit-agents) or reproducing one bad conversation locally (debugging-livekit-agents).
Runs LiveKit agent simulations and acts on the results. Use when the user says "run my simulations", "regression test my agent before deploying", "run the scenarios", "use lk agent simulate", "did my agent pass", "why did this scenario fail", "run simulations in CI", "test the audio pipeline", "check turn-taking and interruptions", or wants to check whole-conversation behavior before shipping. Covers text and audio mode and what each catches, running against a local or deployed agent, degraded-audio flags, automating a pre-release run, and triaging failures with list, view and export. For writing the scenarios use writing-livekit-scenarios. Not the default for a bare "test my agent", which goes to debugging-livekit-agents. Use this skill when the user names simulations, scenarios, a run, CI, or shipping.
Use when writing, debugging, or reviewing shaders for the web — GLSL or WGSL, raw WebGL2/WebGPU, Three.js (ShaderMaterial/RawShaderMaterial/TSL), or React Three Fiber. Covers the language/platform matrix, correct boilerplate, common effects (SDF/raymarching, noise, post-processing), and the pitfalls that make browser shaders fail silently.
Expert guidance for building smart contracts on Stellar using the Soroban Rust SDK. Use this skill when working with Soroban smart contracts for tasks including (1) creating new contracts with [contract] and [contractimpl] attributes, (2) implementing storage with Persistent, Temporary, or Instance storage types, (3) working with auth contexts and authorization, (4) handling tokens and Stellar Asset Contracts, (5) writing tests with testutils, (6) deploying contracts, (7) working with events and logging, (8) using crypto functions, (9) debugging contract errors, (10) security best practices and vulnerability prevention, (11) avoiding common security pitfalls like missing authorization, integer overflow, or reinitialization attacks.
Guide developers through creating MCP apps. Covers the full lifecycle: brainstorming ideas against UX guidelines, bootstrapping projects, implementing tools/widgets, debugging, running dev servers, deploying and connecting apps to ChatGPT. Use when a user wants to create or update a MCP app, MCP server or use the Skybridge framework.
Agent Script DSL development skill for Salesforce Agentforce. Enables writing deterministic agents in a single .agent file with FSM architecture, instruction resolution, and hybrid reasoning. Covers syntax, debugging, testing, and CLI deployment.
Expert guidance for building Rust + WebAssembly frontend web applications using the Yew framework (v0.22). Use when creating, modifying, debugging, or architecting Yew applications — including function components, hooks, props, routing, contexts, events, server-side rendering, agents, and Suspense. Covers project setup with Trunk, the html! macro, state management, data fetching, and integration with the broader Yew/WASM ecosystem (yew-router, gloo, wasm-bindgen, web-sys, stylist, yewdux).
Use this skill when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory evaluation (match or LLM-as-judge), running LangSmith dataset evaluations, and comparing two agent versions with A/B-style offline analysis. Use it for Python and JavaScript/TypeScript workflows, evaluator design, experiment setup, regression gates, and debugging flaky/incorrect evaluation results.
Error handling patterns for ERPNext hooks.py configurations. Use when debugging doc_events errors, scheduler failures, boot session issues, and app initialization problems. V14/V15/V16 compatible. Triggers: hooks.py error, doc_events error, scheduler error, boot session error, app initialization error.