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52 results for "adk"

google-agents-cli-adk-code

google-agents-cli-adk-code

3.1Kagent-workflows

当用户想要“编写智能体代码”、“使用ADK构建智能体”、“添加工具”、“创建回调”、“定义智能体”、“使用状态管理”,或需要ADK(智能体开发工具包)Python API模式和代码示例时,应使用此技能。它是Google ADK技能套件的一部分。它提供了智能体类型、工具定义、编排模式、回调和状态管理的快速参考。不要用于创建新项目(使用google-agents-cli-scaffold)或部署(使用google-agents-cli-deploy)。

google avatargoogle
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adk

adk

11research-knowledge

a set of guidelines to build with Botpress's Agent Development Kit (ADK) - use these whenever you're tasked with building a feature using the ADK

botpress avatarbotpress
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adk-frontend

adk-frontend

11frontend

Guidelines for building frontend applications that integrate with Botpress ADK bots - covering authentication, type generation, client setup, and calling bot actions

botpress avatarbotpress
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adk-evals

adk-evals

11testing-qa

Complete reference for writing, running, and iterating on evals (automated conversation tests) for ADK agents. Covers eval file format, all assertion types, CLI usage, and per-primitive testing patterns.

botpress avatarbotpress
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adk-debugger

adk-debugger

11testing-qa

Systematic debugging for ADK agents — trace reading, log analysis, common failure diagnosis, and the debug loop.

botpress avatarbotpress
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adk-docs

adk-docs

11research-knowledge

guidelines for creating, reviewing, updating, and searching ADK documentation - use when users ask about writing, maintaining, or auditing ADK bot docs

botpress avatarbotpress
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adk-dev-console

adk-dev-console

11research-knowledge

Explains the ADK Dev Console — what each tab shows, how to read Agent Steps, traces, multi-agent dashboard, agent switching, console modes, and other UI features visible at localhost:3001 during adk dev

botpress avatarbotpress
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runtime

runtime

37Kdevops-cloud

@copilotkit/runtime — mount a fetch-native CopilotRuntime on any JS server, wire middleware, pick an AgentRunner, instantiate BuiltInAgent (Factory Mode with TanStack AI is the preferred default) or plug in any of 12 external agent frameworks (Mastra, LangGraph, CrewAI Crews/Flows, PydanticAI, ADK, LlamaIndex, Agno, AWS Strands, MS Agent Framework, AG2, A2A), enable Intelligence mode for durable threads + websocket, register server-side tools via defineTool, and wire voice transcription. Uses the fetch-based createCopilotRuntimeHandler primitive — the Express/Hono adapters are discouraged. Load the reference under references/ that matches your task.

copilotkit avatarcopilotkit
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google-agents-cli-workflow

google-agents-cli-workflow

3.1Kresearch-knowledge

此技能应在用户想要“开发智能体”、“使用 ADK 构建智能体”、“本地运行智能体”、“调试智能体代码”、“测试智能体”、“部署智能体”、“发布智能体”、“监控智能体”,或需要 ADK(智能体开发工具包)开发生命周期和编码指南时使用。构建 ADK 智能体的入口点。始终处于活动状态——提供完整的工作流程(脚手架、构建、评估、部署、发布、观察)、代码保留规则、模型选择指南以及 ADK 或任何智能体开发的故障排除步骤。

google avatargoogle
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google-agents-cli-eval

google-agents-cli-eval

3.1Kresearch-knowledge

当用户想要“运行评估”、“评估我的ADK智能体”、“编写评估数据集”、“分析评估失败原因”、“比较评估结果”、“优化智能体”,或需要Agent Platform评估方法论和质量飞轮方面的指导时,应使用此技能。涵盖评估指标、数据集模式、LLM作为评判的评分以及常见失败原因。不要用于API代码模式(使用google-agents-cli-adk-code)、部署(使用google-agents-cli-deploy)或项目脚手架(使用google-agents-cli-scaffold)。

google avatargoogle
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google-agents-cli-scaffold

google-agents-cli-scaffold

3.1Kdevops-cloud

当用户想要“创建 Agent 项目”、“启动新的 ADK 项目”、“帮我构建一个新 Agent”、“为项目添加 CI/CD”、“添加部署配置”、“增强现有项目”或“升级项目”时,应当使用此 Skill。 本 Skill 属于 Google ADK(Agent Development Kit)Skill 套件的一部分。 涵盖 `agents-cli scaffold create`、`scaffold enhance` 和 `scaffold upgrade` 命令、模板选项、部署目标以及原型优先(prototype-first)工作流。 请勿用于编写 Agent 代码(请使用 google-agents-cli-adk-code)或部署运维操作(请使用 google-agents-cli-deploy)。

google avatargoogle
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google-agents-cli-observability

google-agents-cli-observability

3.1Kdevops-cloud

当用户想要“设置追踪”、“监控我的ADK代理”、“配置日志记录”、“添加可观测性”、“调试生产流量”,或需要关于监控已部署的ADK(Agent Development Kit)代理的指导时,应使用此技能。涵盖Cloud Trace、提示-响应日志记录、BigQuery Agent Analytics、第三方集成(AgentOps、Phoenix、MLflow等)以及故障排除。属于Google ADK(Agent Development Kit)技能套件的一部分。不要用于部署设置(使用google-agents-cli-deploy)或API代码模式(使用google-agents-cli-adk-code)。

google avatargoogle
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google-agents-cli-deploy

google-agents-cli-deploy

3.1Kdevops-cloud

当用户想要“部署 Agent”、“部署 ADK Agent”、“配置 CI/CD”、“配置 Secret 密钥”、“排查部署故障”,或需要关于 Agent Runtime、Cloud Run 或 GKE 部署目标的指导时,应使用此 Skill。 涵盖部署工作流、服务账号、版本回滚和生产基础设施。 属于 Google ADK (Agent Development Kit) Skill 套件的一部分。 切勿用于 API 代码模式(请使用 google-agents-cli-adk-code)、评估测试(请使用 google-agents-cli-eval)或项目脚手架搭建(请使用 google-agents-cli-scaffold)。

google avatargoogle
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google-agents-cli-publish

google-agents-cli-publish

3.1Kdevops-cloud

当用户想要“发布智能体”、“发布我的ADK智能体”、“向Gemini Enterprise注册智能体”、“发布到Gemini Enterprise”,或需要关于agents-cli publish gemini-enterprise命令的指导时,应使用此技能。当用户想要“在Agent Registry中管理智能体”或“列出/更新/删除已注册的智能体”时,也应使用此技能。涵盖ADK与A2A注册模式、编程式和交互式用法、标志参考、从部署元数据自动检测、Agent Registry集群管理以及故障排除。属于Google ADK(Agent Development Kit)技能套件的一部分。请勿用于部署(请使用google-agents-cli-deploy)。

google avatargoogle
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synap

synap

0research-knowledge

Add persistent, structured long-term memory to AI agents using Maximem Synap. Use this skill whenever the user is building, debugging, or evaluating an AI agent and mentions any of: "memory", "long-term memory", "persistent memory", "agent memory", "remember across sessions", "context window", "agent forgets", "user preferences", "personalization", "RAG over conversations", "multi-tenant memory", "memory layer", "Mem0", "Zep", "Letta", "SuperMemory", "Cognee", or asks how to integrate memory into LangChain, LangGraph, LlamaIndex, OpenAI Agents SDK, Pydantic AI, CrewAI, AutoGen, Google ADK, Haystack, Agno, Semantic Kernel, Microsoft Agent Framework, NVIDIA NeMo, LiveKit, Pipecat, Claude Agent SDK, Mastra, Vercel AI SDK, or MCP (no-code). Also trigger on direct mentions of "Synap", "Maximem", "maximem-synap", or `synap-*` package names. Covers SDK setup, scoping (User/Customer/Client), ingestion, retrieval, and one drop-in package per framework.

vaibhav0806 avatarvaibhav0806
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aws-cdk

aws-cdk

2.2Kdevops-cloud

使用 TypeScript 或 Python 通过 CDK 编写、部署和排查 AWS 基础设施问题。涵盖最佳实践、堆栈架构和构造模式。在编写 CDK 构造、引导环境、运行 cdk deploy/synth/diff、修复 CDK 或 CloudFormation 错误、规划堆栈结构、导入现有资源、解决漂移或重构堆栈而不替换资源时,始终使用此技能。

aws avataraws
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adhd

adhd

2.6Kprompting-reasoning

面向编码智能体的并行发散式构思。在多种认知框架(监管者、生物学、速通玩家、10岁小孩、零预算)下生成N个独立分支,进行评分、聚类、修剪陷阱,并深化最优幸存者。用于 /adhd、“ADHD模式”、头脑风暴/构思意图,或开放式设计、架构、命名、API/SDK接口以及模糊调试决策。跳过语法、查询、已知根因的bug或封闭式表述(“快速”、“标准”、“规范”、“教科书”)。完整的预检门控在技能正文中。

uditakhourii avataruditakhourii
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diffdock

diffdock

42Kresearch-knowledge

DiffDock and DiffDock-L molecular docking. Use for protein-small-molecule pose prediction from PDB or sequence plus SMILES/SDF/MOL2, batch docking, virtual screening, and pose-confidence interpretation. Not for binding affinity prediction.

k-dense-ai avatark-dense-ai
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adattributionkit

adattributionkit

967writing-content

使用 AdAttributionKit 在保护用户隐私的前提下测量广告效果。适用于注册广告曝光(impression)、处理归因回传(postback)、更新转化值(conversion value)、实现二次互动(re-engagement)归因、配置媒体端(publisher)或广告主端(advertiser)应用,以及使用 AdAttributionKit 替代 SKAdNetwork 进行广告测量。

dpearson2699 avatardpearson2699
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aws-cdk

aws-cdk

329devops-cloud

Provides AWS CDK TypeScript patterns for defining, validating, and deploying AWS infrastructure as code. Use when creating CDK apps, stacks, and reusable constructs, modeling serverless or VPC-based architectures, applying IAM and encryption defaults, or testing and reviewing `cdk synth`, `cdk diff`, and `cdk deploy` changes. Triggers include "aws cdk typescript", "create cdk app", "cdk stack", "cdk construct", "cdk deploy", and "cdk test".

giuseppe-trisciuoglio avatargiuseppe-trisciuoglio
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azure-kusto

azure-kusto

1.2Ksecurity

使用KQL查询和分析Azure Data Explorer(Kusto/ADX)中的数据,适用于日志分析、遥测和时间序列分析。适用场景:KQL查询、Kusto数据库查询、Azure Data Explorer、ADX集群、日志分析、时间序列数据、IoT遥测、异常检测。

microsoft avatarmicrosoft
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ddd

ddd

705design-ui

Domain-Driven Design tactical patterns for .NET applications. Covers aggregates, aggregate roots, value objects, domain events, domain services, strongly-typed IDs, and repository patterns for aggregate persistence. Load this skill when implementing DDD, working with aggregates, value objects, domain events, bounded contexts, or when the architecture-advisor recommends DDD + Clean Architecture. Pair with the clean-architecture skill.

codewithmukesh avatarcodewithmukesh
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i-have-adhd

i-have-adhd

11Ktesting-qa

为患有ADHD的读者塑造输出:以下一步行动开头,对多步骤工作进行编号,在对话轮次间重述状态,抑制离题内容,给出具体时间估计,让成果可见。通过 /i-have-adhd 调用;持续生效直到说“stop adhd mode”。

ayghri avatarayghri
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aws-cdk-python-setup

aws-cdk-python-setup

38Kdevops-cloud

Setup and initialization guide for developing AWS CDK (Cloud Development Kit) applications in Python. This skill enables users to configure environment prerequisites, create new CDK projects, manage dependencies, and deploy to AWS.

github avatargithub
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