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Found 2,406 Skills
Primary tool for all code navigation and reading in supported languages (Rust, Python, TypeScript, JavaScript, Go). Use instead of Read, Grep, and Glob for finding symbols, reading function implementations, tracing callers, discovering tests, and understanding execution paths. Provides tree-sitter-backed indexing that returns exact source code — full function bodies, call sites with line numbers, test locations — without loading entire files into context. Use for: finding functions by name or pattern, reading specific implementations, answering 'what calls X', 'where does this error come from', 'how does X work', tracing from entrypoint to outcome, and any codebase exploration. Use Read only for config files, markdown, and unsupported languages.
Write code using Agora SDKs (agora.io) for real-time communication. Covers RTC (video/voice calling, live streaming, screen sharing), RTM (signaling, messaging, presence), Conversational AI (voice AI agents), Cloud Recording, Server Gateway, and server-side token generation. Use when the user wants to build real-time audio/video applications, integrate Agora SDKs (Web JS/TS, React, iOS Swift, Android Kotlin/Java, Go, Python), manage channels, tracks, tokens, use RTM for messaging/signaling, record RTC sessions, or build Conversational AI with the agent-toolkit. Triggers on mentions of Agora, agora.io, RTC, RTM, video calling, voice calling, real-time communication, screen share, screen sharing, record session, record calls, Cloud Recording, Server Gateway, Linux media SDK, agora-rtc-sdk-ng, agora-rtc-react, agora-rtm, conversational AI with Agora, Agora token generation, Agora authentication, agora-agent-client-toolkit, agora-agent-client-toolkit-react, agora-agent-server-sdk, AgoraVoiceAI, AgoraClient, useConversationalAI, useTranscript, useAgentState, agent transcript, agent state hook.
NVIDIA DeepStream SDK 9.0 development with Python pyservicemaker API. Use when building video analytics pipelines, GStreamer-based video processing, TensorRT inference integration, object detection/tracking, or Kafka/message broker integration.
Eight-axis judgment code review for the current diff — Correctness, Simplification, Tests, Documentation, Style, Intent, Design/API, Performance (+ Coherence on metadata changes). Five-phase pipeline scope → deterministic tool battery (npx/uvx-preferred, zero-install for the JS + Python majority) → 8 parallel LLM axis reviewers → Haiku validators on sub-80 findings (verbatim rubric, ≥80 threshold) → synthesis with no-silent-drop + Conventional Comments JSONL. Every report closes with "What I did NOT check" (security → /security-review, runtime perf, flaky detection). Opt-in flags `--verify-build`, `--mutation-test`, `--reconcile`, `--apply-safe`. Public-skill posture — zero auto-install, graceful skip on missing native tools.
Installs and configures OpenTelemetry auto-instrumentation for applications written in Java, .NET, Node.js, Python, Ruby. Use when instrumenting applications with opentelemetry auto-instrumentation, auditing existing auto-instrumentation implementations, migrating from vendor locked instrumentations to OpenTelemetry, or checking for latest versions of instrumentation libraries.
Reconstruct Blender models from supplied reference sheets, branding templates, texture atlases, orthographic front/side/back/top views, or mascot/logo art where visual fidelity to the source is more important than a plausible generated object. Use when the user says the model must match a template, wireframe, texture pack, character sheet, mascot sheet, or brand asset exactly; also use after feedback like "does not look like the reference", "fit the texture 1:1", "wrong number of visible parts", or "compare against the template". Requires Blender MCP plus local Python with Pillow/OpenCV/numpy; pairs with blender-uv-texturing, wireframe-to-3d, blender-modeling, blender-materials, and blender-export.
Shell script generation, review, and dialect conversion. Makefile and justfile generation. ShellCheck rules. Use for shell work. NOT for Python (python-conventions) or CI/CD (devops-engineer).
Create, repair, or extend local Docker Compose and Dockerfile setups for PHP/Laravel and CMS projects, Node.js, Python, and monorepos. Use when Dockerizing a project for development, adding local databases or supporting services, or safely merging existing development Compose configurations. Inspect the repository first, infer safe defaults, ask only about unresolved high-impact choices, preserve existing work, and verify generated files. Do not use as a production deployment workflow.
Migrate browser-use (Python) browser-automation scripts to Stagehand v3 (TypeScript) on Browserbase. Use when the user wants to convert, port, rewrite, or migrate a browser-use Agent script to Stagehand, map browser-use features/APIs to Stagehand primitives (act/extract/observe/agent), or move agentic browser automation onto Browserbase with more determinism. Triggers on "browser-use", "browser_use", or "Agent(task=...)".
Richtet die Werkzeugkette für Marken- und Designarbeit ein (brand kit setup, install skills, higgsfield cli). Prüft Voraussetzungen wie Node, Python und Chrome, installiert die Skills unslop, grill-with-docs, web-design-guidelines und seo-audit an der jeweils richtigen Stelle und verbindet die Higgsfield CLI für Bildgenerierung. Nutze diesen Skill, sobald jemand ein Brand Kit aufbauen, eine Markenidentität erarbeiten, KI-Bilder für die eigene Marke erzeugen oder diese Werkzeugkette nachbauen will, auch wenn nicht ausdrücklich von Installation die Rede ist.
This skill provides guidance for creating agents and applications with the GitHub Copilot SDK. It should be used when the user wants to create, modify, or work on software that uses the GitHub Copilot SDK in TypeScript, Python, Go, or .NET. The skill covers SDK usage patterns, CLI configuration, custom tools, MCP servers, and custom agents.
Aspire orchestration for cloud-native distributed applications in any language (C#, Python, Node.js, Go). Handles dependency management, local dev with Docker, Azure deployment, service discovery, and observability dashboards. Use when setting up microservices, containerized apps, or polyglot distributed systems.