Analyze report artifacts and baseline states to select the next workflow step.
npx skills add https://github.com/yu13130122297/helloCat --skill decision-yu13130122297
Please help me install this Agent Skill. Skill: decision Source: https://github.com/yu13130122297/helloCat/tree/main/src/skills/decision Command: npx skills add https://github.com/yu13130122297/helloCat --skill decision-yu13130122297
It helps resolve non-trivial decision points that require evaluating evidence and selecting the best course of action in complex workflows.
Use the decision skill to assess whether to continue or reset your current experiment based on recent results.
High-intent search queries and answers about installing and using this skill.
To make an evidence-based decision, you analyze report artifacts, baseline states, and recent artifacts to evaluate current evidence and select appropriate actions for project progress or reset.
Determining whether to continue or reset an experiment involves assessing current evidence from recent results to evaluate strategic criteria and select the best subsequent step for your research route.
Evaluating multiple research pathways requires analyzing report artifacts and recent artifacts to provide structured, evidence-backed guidance for selecting the most appropriate pathway to pursue next.
Yes, using structured judgment provides a clear record of verdict, rationale, and next steps, ensuring transparent decision processes when finalizing, branching, or resetting complex workflows.
You need evidence-based decision making when resolving non-trivial decision points that require evaluating evidence and selecting the best course of action among multiple available research routes.
Structured judgment for complex choice-making requires analyzing report artifacts and baseline states, meaning it cannot function effectively without sufficient recent artifacts to evaluate evidence and determine subsequent steps.
agent-shSynthesize performance investigation results into structured, evidence-backed recommendations.
AngelP17Automate end-to-end ML pipelines from data ingestion to deployment.
ligianehuaMonitor a live URL for errors, performance, and page health after deployment.
EhsaanArkRequire explicit confirmation before executing destructive shell commands.
