3545 个 · 按相关度排序
Plan technology investments and engineering team growth using structured assessments. Evaluate technical debt, compare building versus buying, document architecture choices, and define engineering health metrics to produce prioritized plans grounded in costs, risks, and business needs.
中文简介正在准备中。当前显示英语简介。
Helps startup leaders make strategic data decisions: assess permission to train AI on customer data, choose data architecture, evaluate customer data as a business asset, and sequence hiring around the decisions the business needs to make.
中文简介正在准备中。当前显示英语简介。
Set up Google's agents-cli and find the right workflow for building AI agents. Connects requirements planning, project creation, implementation, evaluation, deployment, publishing, and monitoring through specialized skills for the Gemini Enterprise Agent Platform.
中文简介正在准备中。当前显示英语简介。
Evaluate AI agent outputs with code checks and model-based grading. Run repeated trials to measure reliability, compare prompts or models, and check whether changes reduce quality, with saved transcripts for reviewing the results.
中文简介正在准备中。当前显示英语简介。
Guides machine learning work from data preparation and model training to evaluation and production monitoring. Covers PyTorch, scikit-learn, experiment tracking, and reproducible workflows so teams can compare models and maintain them after deployment.
中文简介正在准备中。当前显示英语简介。
Design the controls around autonomous agents: what they can edit, how results are evaluated, how progress is logged, and when human approval is required. Build research and experiment loops with clear recovery and review rules.
中文简介正在准备中。当前显示英语简介。
Design systems that use language models to judge AI responses. Covers scoring criteria, comparisons between two answers, bias reduction, confidence calibration, and checks against human judgments to make automated quality assessments more consistent and traceable.
中文简介正在准备中。当前显示英语简介。
Plan and improve AI agent systems by managing the information models receive. This collection covers memory, agent coordination, tool design, context compression, evaluation, and the operating controls needed for reliable autonomous workflows.
中文简介正在准备中。当前显示英语简介。
Structure and revise investment research into readable Markdown reports for Codex. Explain business economics, competitive advantages, opposing arguments, and valuation, then connect the evidence to price bands and actions for prospective investors and existing holders.
中文简介正在准备中。当前显示英语简介。
Guides fine-tuning and evaluation of OpenVLA-OFT robot models that turn images and language into actions. Covers LIBERO simulation, ALOHA deployment, LoRA adaptation that updates a small set of parameters, and troubleshooting action scaling or configuration mismatches.
中文简介正在准备中。当前显示英语简介。
Design and implement RAG systems, which retrieve documents to inform AI answers. Get document preparation strategies, vector database comparisons, combined keyword and meaning-based search, result reranking, and an evaluation plan for retrieval quality.
中文简介正在准备中。当前显示英语简介。
Design and evaluate paid-ad experiments with clear hypotheses, comparison groups, sample requirements, and stopping rules. Check data quality before estimating effects, then deliver structured results and a plain-language decision that reflects uncertainty and the population tested.
中文简介正在准备中。当前显示英语简介。
Build evaluation suites for AI features with the Axiom AI SDK. Generate test files, scoring functions, test cases, and configurable parameters from descriptions and existing code to compare changes and monitor output quality in production.
中文简介正在准备中。当前显示英语简介。
Evaluate a proposed pricing change by modeling revenue per customer, conversion, cancellations, and customer acquisition cost recovery. Compare scenarios and receive a recommendation to implement, test, modify, or hold the change, with supporting calculations and risks.
中文简介正在准备中。当前显示英语简介。
Analyze how a specific event or policy change affects listed companies, sectors, earnings, valuations, and portfolio decisions. Produce a report linking causes to equity impacts, separating evidence from assumptions and outlining scenarios, counterarguments, and monitoring signals.
中文简介正在准备中。当前显示英语简介。
Turn an idea, existing code, or a previous Codex conversation into a runnable OpenAI Agents SDK app. Supports local verification, focused evaluations of agent behavior, and local deployment through the Deployment Manager.
中文简介正在准备中。当前显示英语简介。
Analyze company financial statements and ratios, then estimate value using projected cash flows and comparisons with similar businesses. Produce a valuation range, documented assumptions, scenario analysis, and risk assessment to support investment decisions.
中文简介正在准备中。当前显示英语简介。
Submit security scans for AI services, tools, skills, and agents through AI-Infra-Guard, then retrieve progress and results. It also supports jailbreak evaluation, testing whether prompts can bypass a model’s safety restrictions.
中文简介正在准备中。当前显示英语简介。
Review and improve SKILL.md files using nine evaluation criteria and test prompts. Independent agents compare original and revised versions, while user checkpoints, version history, and result cards help track which changes are retained or rolled back.
中文简介正在准备中。当前显示英语简介。
Execute an existing Ouroboros Seed, a specification containing a goal and acceptance criteria, as a background job. The workflow checks each criterion, normally queues formal evaluation, and follows a bounded improvement loop if evaluation rejects the result.
中文简介正在准备中。当前显示英语简介。
Verify finished work against acceptance criteria using executable checks and a review of whether each requirement is met. Multiple models can review uncertain cases, and rejected work can enter an automated repair loop when the required Seed is available.
中文简介正在准备中。当前显示英语简介。
Guide AI agent development from requirements and project setup through implementation, behavior evaluation, deployment, and monitoring. Provides coding rules, debugging steps, and links to specialized skills so each phase follows a defined process.
中文简介正在准备中。当前显示英语简介。
Guide development of a LangChain or LangGraph project created with agents-cli. It explains tool additions, local runs, evaluation, and serving while identifying the required graph structure and commands that differ from ADK projects.
中文简介正在准备中。当前显示英语简介。
Evaluate pages and components for usability, visual hierarchy, clarity, and emotional tone. Produce a score out of 40, examine tasks from relevant user perspectives, and prioritize concrete improvements around the user's goals and constraints.
中文简介正在准备中。当前显示英语简介。