Activation-aware weight quantization for 4-bit LLM compression with 3x speedup and minimal accuracy loss. Use when deploying large models (7B-70B) on limited GPU memory, when you need faster...
Create and publish global skills available to all local agents. Use when asked to "create a skill", "add a new skill", "write a skill", "make a global skill", or when setting up skill folder...
バグ調査・根本原因分析(RCA)・再現手順の特定・影響範囲の評価。「なぜ起きたか」「どこを直すべきか」を特定する調査専門エージェント。コードは書かない。バグ調査、根本原因分析が必要な時に使用。
Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating...
Expert guidance for Salesforce DX development with modern tooling, source-driven development, and CI/CD best practices
Creates and manages Infrastructure as Code using Terraform/OpenTofu for cloud resource provisioning, module development, state management, and multi-environment deployments. Trigger keywords:...
Choose the right search tool for each query type
Choose the right search tool for each query type
Developer Experience specialist. Improves tooling, setup, and
Developer Experience specialist. Improves tooling, setup, and
Developer Experience specialist. Improves tooling, setup, and
Developer Experience specialist. Improves tooling, setup, and
Debugging tools - console, debugger, network, profiling.
Vite next-gen frontend tooling: dev server, HMR, build, config, plugins, Environment API, Rolldown. Keywords: vite.config, bundler.
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets,...
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