全部能力

用于神经网络（neural-network）的 Agent 技能 - 使用 $agent-neural-network 调用

Best practices for scikit-learn machine learning, model development, evaluation, and deployment in Python

When the user wants to optimize, improve, or increase conversions on any marketing page — including homepage, landing pages, pricing pages, feature pages, or…

Frida 17 JavaScript API 兼容性检查与修复工具。在编写、审查或修复 Frida 脚本时使用，尤其是从旧版本 Frida 迁移时…

用于 data-ml-model 的 Agent 技能 - 通过 $agent-data-ml-model 调用

You are a workflow automation expert specializing in creating efficient CI/CD pipelines, GitHub Actions workflows, and automated development processes. Design…

This guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed…

Senior FDA consultant and specialist for medical device companies including HIPAA compliance and requirement management. Provides FDA pathway expertise, QSR…

Vercel deployment and CI/CD expert guidance. Use when deploying, promoting, rolling back, inspecting deployments, building with --prebuilt, or configuring CI…

Performance profiling principles. Measurement, analysis, and optimization techniques.

Large Language Model development, training, fine-tuning, and deployment best practices.

Agentica 多智能体基础设施 API 参考指南

Expert guidance for Spring Boot application development with best practices for RESTful APIs, testing, security, and deployment

Build and deploy Streamlit apps natively in Snowflake. Covers snowflake.yml scaffolding, Snowpark sessions, multi-page structure, Marketplace publishing as Native Apps, and caller's rights connections (v1.53.0+). Use when building data apps on Snowflake, deploying SiS, fixing package channel errors, authentication issues, cache key bugs, or path resolution errors.

Generates GitHub Actions CI workflow configuration. Use when adding continuous integration to a project.

用于 production-validator 的 Agent 技能 - 使用 $agent-production-validator 调用

Databricks CLI operations: auth, profiles, data exploration, and bundles. Contains up-to-date guidelines for Databricks-related CLI tasks.

Configures health check endpoints for Kubernetes readiness/liveness/startup probes. Use when deploying to Kubernetes.

Comprehensive DevOps engineering practices for Kubernetes, CI/CD, Bash scripting, Ansible, and cloud infrastructure.

Creates infrastructure.md and runbook.md (Docker-conditional). Use for DevOps documentation in any project.