Use when targeting ACM International Conference on Mobile Human-Computer Interaction (MobileHCI) or deciding whether a computer-science…
Use when targeting ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) or deciding whether a…
Use when targeting ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) or deciding whether a…
Use when targeting ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) or deciding whether a computer-science manuscript fits…
Use when targeting ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D) or deciding whether a computer-science manuscript…
Use when targeting ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR) or deciding whether a computer-science…
Use when targeting ACM SIGMETRICS (SIGMETRICS) or deciding whether a computer-science manuscript fits this venue.
Use when targeting ACM SIGPLAN International Conference on Functional Programming (ICFP) or deciding whether a computer-science manuscript…
Use when targeting ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP) or deciding whether a computer-science…
Use when targeting ACM Symposium on Virtual Reality Software and Technology (VRST) or deciding whether a computer-science manuscript fits…
Use when targeting ACM Workshop on Hot Topics in Networks (HotNets) or deciding whether a computer-science manuscript fits this venue.
ACMG/AMP variant classification skill for systematic pathogenicity assessment
Cross-cutting ACP development patterns — idempotency, error handling, 3D Secure flows, request signing, rate limiting, monitoring, and…
ACSets (Attributed C-Sets): Algebraic databases with Specter-style bidirectional
CRITICAL: Use for performance optimization.
Migrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and dependency injection updates.
Expert guide for Backend.AI distributed computing platform.
Migrate prompts and code from Claude Sonnet 4.0, Sonnet 4.5, or Opus 4.1 to Opus 4.5.
Select the smallest useful desired training adaptation from a capability gap and, when available, a performance-limitation hypothesis.
This skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.
Measure ad effectiveness with privacy-preserving attribution using AdAttributionKit.