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iii-error-handling

iii-error-handling

19Kbackend-api

Handle iii engine and SDK errors across Node, Python, Rust, and browser workers. Use when interpreting error codes, retryability, RBAC denial, timeouts, handler failures, or SDK-specific exception surfaces.

iii-hq avatariii-hq
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iii-engine-config

iii-engine-config

19Kbackend-api

Configures the iii engine via iii-config.yaml — workers, adapters, queue configs, ports, and environment variables. Use when deploying, tuning, or customizing the engine.

iii-hq avatariii-hq
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cloud-logging-query-generation

cloud-logging-query-generation

19Kdevops-cloud

Generates Logging Query Language (LQL) queries for Google Cloud Logging from natural language. Use this skill when you need to query log data or when you are debugging issues. You can filter log data by Google Cloud service. Don't use this skill to query other databases, such as SQL or Cloud Spanner.

google avatargoogle
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data-manager-api-audience-ingestion

data-manager-api-audience-ingestion

19Kbackend-api

Guides developers through managing (adding, removing, and clearing) audience members for Google products using the Data Manager API and its associated client libraries. Use this skill when the user wants to upload audience members, remove specific users, or clear/replace an entire audience for Customer Match, mobile device ID audiences, or any other audience use case supported by the Data Manager API. Don't use for uploading events or conversions (use the data-manager-api-event-ingestion skill).

google avatargoogle
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google-cloud-solution-agentic-ai-bidirectional-streaming

google-cloud-solution-agentic-ai-bidirectional-streaming

19Kdevops-cloud

Guides agents to interactively discover customer requirements for live, bidirectional multi-agent AI systems that process continuous streams of multimodal data for real-time technical guidance and safety monitoring. Generates a custom Google Cloud solution that uses opinionated best practices and architecture guidance. Use when users need agentic assistance to design and create a multi-product solution in the cloud for live bidirectional multimodal streaming workloads. Don't use for simple text-based chat applications or workloads without real-time streaming requirements.

google avatargoogle
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data-manager-api-setup

data-manager-api-setup

19Kbackend-api

Guides developers through client library installation and authentication setup steps for the Data Manager API. Use this skill when a user is getting started with the Data Manager API and needs to setup their local environment, install the client library, or setup access to the API. Don't use for implementing audience or event ingestion logic (use the data-manager-api-audience-ingestion or data-manager-api-event-ingestion skills instead).

google avatargoogle
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hindsight-docs

hindsight-docs

19Kresearch-knowledge

面向AI代理的完整Hindsight文档。使用此文档了解Hindsight架构、API、配置和最佳实践。

vectorize-io avatarvectorize-io
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google-ads-api-quickstart

google-ads-api-quickstart

19Ksecurity

Guides developers through Google Ads API quickstart: credential setup, choosing from 6 client libraries/REST, configuring environments, and running a "retrieve campaigns" script. Troubleshoots common setup errors: USER_PERMISSION_DENIED, login_customer_id issues, and DEVELOPER_TOKEN_NOT_APPROVED. Use this skill when: - The user asks how to get started with the Google Ads API. - The user needs to set up Google Ads credentials or developer tokens. - The user wants to write a quickstart/example script for Google Ads. - The user encounters errors like USER_PERMISSION_DENIED or DEVELOPER_TOKEN_NOT_APPROVED.

google avatargoogle
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neat-freak

neat-freak

18Kagent-workflows

知识和治理收尾:将项目文档、规则文件(CLAUDE.md/AGENTS.md)、授权的 Agent 记忆和工作区残留与代码和运行时的实际情况对齐,使下一次会话或下一个人从一个当前答案开始。当用户提到 "neat-freak"、"洁癖" 或 "/neat" 时触发——也适用于没有提到名称但意图明确的知识收尾:开发后同步或整理项目文档/规则/记忆("把文档和记忆整理一下"、"收尾时把文档同步掉"、"docs 和代码对不上了")、过时或冲突的 CLAUDE.md/记忆、向队友或新会话的干净交接、或审计工作区规则是否被实际遵守。不要为纯编码/重构/调试任务、整理数据或散文(JSON、周报、更新日志公告)、或没有项目知识上下文的单纯"整理"触发。

kkkkhazix avatarkkkkhazix
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khazix-writer

khazix-writer

18Kagent-workflows

数字生命卡兹克(Khazix)的公众号长文写作skill。当用户需要撰写公众号文章、写稿子、续写文章、根据素材产出长文时使用。触发词包括但不限于:写文章、写稿子、帮我写、续写、扩写、公众号文章、长文、出稿、按我的风格写。即使用户只是说"帮我把这个写成文章"或"用我的风格写一下",只要上下文涉及内容创作和公众号输出,都应该触发。也适用于用户丢过来一个PDF、brief、新闻链接、语音转文字或任何素材说"帮我写篇文章"的场景。不要用于短内容(小红书帖子、推特、朋友圈)或纯标题摘要生成(那个用wechat-title skill)。

kkkkhazix avatarkkkkhazix
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yaml

yaml

18Kprompting-reasoning

YAML wire format for json-render with streaming parser, prompt generation, and AI SDK transform. Use when working with @json-render/yaml, YAML-based spec streaming, yaml-spec/yaml-edit fences, or YAML prompt generation.

vercel-labs avatarvercel-labs
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video-use

video-use

18Kdesign-ui

通过对话编辑任意视频。转录、剪辑、调色、生成叠加动画、烧录字幕——适用于人物访谈、混剪、教程、旅行、采访。无预设,无菜单。提问、确认计划、执行、迭代、持续。制作正确性规则是硬性的;其他一切皆为艺术自由。

browser-use avatarbrowser-use
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solid

solid

18Kfrontend

SolidJS renderer for json-render. Use when building @json-render/solid catalogs/registries, wiring Renderer providers, implementing bindings/actions, or troubleshooting Solid-specific reactivity patterns.

vercel-labs avatarvercel-labs
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xstate

xstate

18Kbackend-api

XState Store adapter for json-render's StateStore interface. Use when integrating json-render with @xstate/store for state management via @json-render/xstate.

vercel-labs avatarvercel-labs
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notebooklm

notebooklm

18Kresearch-knowledge

Google NotebookLM 的完整 API 实现,支持全功能代码化 / 编程访问,包含 Web 界面尚未开放的高级特性。可创建笔记本、添加数据源、生成各类衍生内容(Artifacts)并支持多格式下载。可通过显式输入 `/notebooklm` 或触发相关意图(如“制作关于 X 的播客”)来激活。

teng-lin avatarteng-lin
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deepeval

deepeval

18Kresearch-knowledge

DeepEval evaluation workflow for AI agents and LLM applications. TRIGGER when the user wants to evaluate or improve an AI agent, tool-using workflow, multi-turn chatbot, RAG pipeline, or LLM app; add evals; generate datasets or goldens; use deepeval generate; use deepeval test run; send results to Confident AI; monitor production; run online evals; inspect traces; or iterate on prompts, tools, retrieval, or agent behavior from eval failures. AI agents are the primary use case. Covers Python SDK, pytest eval suites, CLI generation, traced evals, Confident AI reporting, and agent-driven improvement loops. DO NOT TRIGGER for unrelated generic pytest, non-AI test setup, or non-DeepEval observability work unless the user asks to compare or migrate to DeepEval; for instrumenting an app with DeepEval tracing, @observe, or framework integrations (use the `deepeval-tracing` skill); or for raw OpenTelemetry / OTLP export without the deepeval package (use the `deepeval-otel` skill).

confident-ai avatarconfident-ai
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wren

wren

18Kdatabase

Wren CLI for AI agents — a semantic SQL layer over 22+ databases (Postgres, MySQL, BigQuery, Snowflake, Spark, …). The actual workflow guides live inside the `wren` CLI itself; this is just a discovery stub. Use whenever the user asks a data question (how many, show me, top N, compare, trend, breakdown, metric, revenue, customers, orders), wants to install / set up Wren Engine, connect a new database, connect SaaS data via dlt (HubSpot, Stripe, Salesforce, GitHub, Slack), generate or regenerate an MDL project from a database schema, enrich a project with business context (enum meanings, units, cubes like ARR / DAU / churn), or turn a project's context layer into a shareable GenBI web app / dashboard and deploy it to Vercel or Cloudflare. Triggers: 'install wren', 'set up wren engine', 'connect database to wren', 'connect SaaS to wren', 'load hubspot / stripe / salesforce data', 'generate mdl', 'scaffold wren project', 'enrich wren context', 'augment my project', 'add cubes', 'build a dashboard', 'make a shareable analytics app', 'deploy my context layer as a web app', 'genbi app', 'wren onboarding', 'wren usage', 'wren generate mdl', 'wren dlt connector', 'wren enrich context', 'wren genbi'.

canner avatarcanner
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context-fundamentals

context-fundamentals

17Kresearch-knowledge

此技能应用于解释或推理上下文工程的基础概念:什么是上下文、上下文窗口的构成、注意力机制的工作原理、U型注意力曲线、为什么上下文质量比数量更重要,以及理解所有其他上下文工程决策所需的思维模型。用于概念解释、入门培训和背景阅读。将操作性工作路由到专门技能:调试注意力失败转到context-degradation,令牌效率工作转到context-optimization,对话摘要转到context-compression,项目形态决策转到project-development。

muratcankoylan avatarmuratcankoylan
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datalineage-bigquery-asset-impact-analysis

datalineage-bigquery-asset-impact-analysis

17Kresearch-knowledge

Analyzes the downstream impact (blast radius) when a BigQuery table or view is broken, stale, or modified. Identifies all downstream tables, dashboards, and processes that will be affected. Use when: - Performing a blast radius or impact analysis for a BigQuery table or view. - Assessing the consequences of modifying, deleting, or pausing updates to a BigQuery asset. - Identifying downstream dependencies (tables, dashboards, processes) of a BigQuery asset. Don't use for: - General BigQuery querying or data analysis (use BigQuery-related tools instead). - Non-BigQuery assets (e.g., Cloud Storage files) unless they are part of the BigQuery lineage. - Creating or modifying lineage links directly.

google avatargoogle
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jotai

jotai

17Kbackend-api

Jotai adapter for json-render's StateStore interface. Use when integrating json-render with Jotai for state management via @json-render/jotai.

vercel-labs avatarvercel-labs
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herdr

herdr

17Kagent-workflows

控制 Herdr,一个用于编码代理的终端复用器。仅在用户明确提到 Herdr 或要求使用 Herdr 检查或控制窗格、标签、工作区、终端、命令或与另一个代理通信时使用。不要仅仅因为任务可以从后台终端、委托或并行工作中受益而使用。需要 HERDR_ENV=1。

ogulcancelik avatarogulcancelik
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local-seo

local-seo

17Kresearch-knowledge

Audit a Google Business Profile, compare it to local competitors, and map Maps visibility around a location.

every-app avatarevery-app
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shadcn-svelte

shadcn-svelte

16Kfrontend

Pre-built shadcn-svelte components for json-render Svelte apps. Use when working with @json-render/shadcn-svelte, adding standard UI components to a Svelte catalog, or building Svelte web UIs with shadcn-svelte + Tailwind CSS components.

vercel-labs avatarvercel-labs
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redux

redux

16Kbackend-api

Redux adapter for json-render's StateStore interface. Use when integrating json-render with Redux or Redux Toolkit for state management via @json-render/redux.

vercel-labs avatarvercel-labs
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