gcp-agent-golden-dataset-builder
Assists developers in collecting and structuring a library of diverse examples ("Golden Dataset") required for data-driven evaluation, including tool trajectories.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Assists developers in collecting and structuring a library of diverse examples ("Golden Dataset") required for data-driven evaluation, including tool trajectories.
Configures Model Armor security policies (Prompt Injection, Jailbreak, RAI filters).
Implements the "Defense-in-Depth" integration pattern in Python (intercepting prompts, parsing filter results).
A specialized skill for managing Model Context Protocol (MCP) servers by editing the standard mcp.json configuration file.
TileLang Ascend Pass 工作流分析。用于理解 Pass 之间的关系、执行顺序、数据依赖,以及帮助定位新 Pass 应该在哪里添加。触发时机:用户询问 Pass pipeline、Pass 执行顺序、Pass 之间的关系、如何添加新 Pass、Pass 依赖关系、"Pass 工作流"、"Pass 顺序"、"在哪里加 Pass" 等关键词时。
Same-epoch comparison of training runs across wandb, neptune, tensorboard, or mlflow. Aligns runs at the student's current step (never current-vs-final-of-baseline) and separates proxy metrics from downstream targets. Use when the user asks to compare runs, check if a run is improving, track lag against a baseline, rank experiments, or evaluate run-vs-run performance.
Scaffolds the McpToolset connection logic for standard servers (Reddit, Google Docs) or custom local Python scripts.
Keep generated MCP schemas strict-client compatible by avoiding nullable enum signatures.
Enforces a strict, turn-based TDD ping-pong cycle by defining and orchestrating two specialized subagents (Player One and Player Two).
TileLang Ascend Developer/Expert 模式选择与 pass_configs 配置指南。当需要确定编程模式、配置 pass_configs、或在两种模式之间转换时触发。API 详情请参考 tilelang-api-best-practices skill。