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Found 1,432 Skills
Data validation and pipeline testing utilities for ML training projects. Validates datasets, model checkpoints, training pipelines, and dependencies. Use when validating training data, checking model outputs, testing ML pipelines, verifying dependencies, debugging training failures, or ensuring data quality before training.
ALWAYS use when writing code importing "primevue". Consult for debugging, best practices, or modifying primevue.
Set up Langfuse local development workflow with hot reload and debugging. Use when developing LLM applications locally, debugging traces, or setting up a fast iteration loop with Langfuse. Trigger with phrases like "langfuse local dev", "langfuse development", "debug langfuse traces", "langfuse hot reload", "langfuse dev workflow".
Loads OpenSCAD files with full dependency context by parsing use/include statements, resolving library paths, and extracting API surface (modules, functions, parameters). Use when working with OpenSCAD files, debugging rendering issues, understanding module dependencies, or before refactoring. Triggers on "load scad", "scad-load [file]", "load openscad context", "show scad dependencies", or when investigating .scad files. Works with .scad files, BOSL2, woodworkers-lib, NopSCADlib, and project-specific libraries.
Explains JavaScript bundling, code splitting, chunking strategies, tree shaking, and build pipelines. Use when optimizing bundle size, understanding how modern build tools work, configuring Webpack/Vite/esbuild, or debugging build output.
Battle-tested Playwright patterns for E2E, API, component, visual, accessibility, and security testing. Covers locators, assertions, fixtures, network mocking, auth flows, debugging, and framework recipes for React, Next.js, Vue, and Angular. TypeScript and JavaScript.
Execute, validate, and debug Midscene YAML automation files. Handles dry-run, execution, report analysis, and iterative debugging.
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.
Query and analyze Datadog logs, metrics, APM traces, and monitors using the Datadog API. Use when debugging production issues, monitoring application performance, or investigating alerts.
Global Agent rules, including language, response style, debugging priority, engineering quality baseline, mandatory code metric limits, security baseline, test verification standards and Skills routing table. Applicable to all programming tasks.
Comprehensive Python expertise covering language fundamentals, idiomatic patterns, software design principles, and production best practices. Use when writing, reviewing, debugging, or refactoring Python code. Triggers: Python, .py files, pip, uv, pytest, dataclasses, asyncio, type hints, or any Python library.
Debug applications using the dbg CLI debugger. Supports Node.js (V8/CDP), Bun (WebKit/JSC), and native code via LLDB (DAP). Use when: (1) investigating runtime bugs by stepping through code, (2) inspecting variable values at specific execution points, (3) setting breakpoints and conditional breakpoints, (4) evaluating expressions in a paused context, (5) hot-patching code without restarting (JS/TS), (6) debugging test failures by attaching to a running process, (7) debugging C/C++/Rust/Swift with LLDB, (8) any task where understanding runtime behavior requires a debugger. Triggers: "debug this", "set a breakpoint", "step through", "inspect variables", "why is this value wrong", "trace execution", "attach debugger", "runtime error", "segfault", "core dump".