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Found 2,354 Skills
Database Query Profiler - Auto-activating skill for Performance Testing. Triggers on: database query profiler, database query profiler Part of the Performance Testing skill category.
Optimize Granola transcription quality and note performance. Use when improving transcription accuracy, reducing processing time, or enhancing note quality. Trigger with phrases like "granola performance", "granola accuracy", "granola quality", "improve granola", "granola optimization".
n8n expression syntax validation, context-aware testing, common pitfalls detection, and performance optimization. Use when validating n8n expressions and data transformations.
Ember.js performance optimization and accessibility guidelines. This skill should be used when writing, reviewing, or refactoring Ember.js code to ensure optimal performance patterns and accessibility. Triggers on tasks involving Ember components, routes, data fetching, bundle optimization, or accessibility improvements.
Use when writing or running Unity tests, including EditMode tests, PlayMode tests, performance testing, and code coverage
Google Ads campaign management - campaign setup, keyword research, bid optimization, and performance reporting
Manage Alibaba Cloud Performance Testing Service (PTS) via OpenAPI/SDK. Use for scene lifecycle operations, test start/stop control, report retrieval, and metadata-driven API discovery before production changes.
Python expert for stdlib, packaging, type hints, async/await, and performance optimization
Human Resources skill for recruiting, onboarding, employee engagement, policies, performance management, and HR operations. Use when handling HR processes, recruiting, employee relations, or organizational development.
Worker-Agent integration for intelligent task dispatch and performance tracking
Builds and refactors Phaser 3 browser games. Use for creating a new Phaser project, adding scenes, entities, physics, UI, tilemaps, animations, input, audio, camera, or for fixing Phaser-specific bugs and performance problems.
Maintain JSONL-only profiler performance test cases under csrc/ops/<op>/test in ascend-kernel. Collect data using torch_npu.profiler (with fixed warmup=5 and active=5), aggregate the Total Time(us) from ASCEND_PROFILER_OUTPUT/op_statistic.csv, and output a unified Markdown comparison report (custom operator vs baseline) that includes a DType column. Do not generate perf_cases.json or *_profiler_results.json. Refer to examples/layer_norm_profiler_reference/ for the reference implementation.