'flow' 검색 결과

코드에서 LLM을 사용하는 흐름을 업무 단위로 찾고 승인 후 용도별 라벨을 붙입니다. Caveman Cloud에서 처리 흐름별 비용을 나누어 확인할 수 있도록 합니다.

• LLM 비용을 업무별로 파악할 때
• API와 정기 작업의 LLM 사용을 조사할 때
• 평가 처리 비용을 따로 확인할 때

Map a mobile app journey across three or four phone frames in one HTML board. Simple gray content blocks, dashed arrows, numbered actions, and short annotations show how users move between screens before detailed visual design.

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• Mapping onboarding through the home screen
• Reviewing the path from item details to confirmation
• Discussing screen transitions before visual design

Handle user registration, login, and account management in Flow Nexus through its MCP tools, which connect agents to platform operations. Check authentication status, update profiles, guide password resets, and troubleshoot access problems.

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• Register users and guide email verification
• Log in and check session status
• Reset passwords and recover account access

Create workflows that pause for approval and resume later, or scripts that distribute work across multiple agents. Choose a saved template for ongoing processes or a JavaScript script to collect structured results from parallel tasks.

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• Build a workflow with approval checkpoints
• Split review work across multiple agents
• Collect structured results from research tasks

Manage Flow Nexus accounts, run code in sandboxes, deploy app templates, and track credits. The skill guides platform operations through connected tools, including file storage, execution monitoring, and coding challenge submissions.

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• Create a sandbox and run development code
• Find and deploy an app template
• Check credit balances and payment history

Design scheduled AI workflows for document ingestion, batch processing, and model training using Prefect, Airflow, or Dagster. Compare orchestration tools and plan task dependencies, retries, caching, and monitoring through implementation fragments.

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• Schedule document ingestion and RAG index refreshes
• Design batch workflows for LLM requests
• Connect model training with quality evaluation

Update Flask-AppBuilder in Apache Airflow’s FAB provider, including pinned versions, dependency locks, and documentation. Check compatibility tests and review copied security code, with asset and database migration updates when the upstream release requires them.

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• Upgrade the FAB provider to a newer Flask-AppBuilder release
• Review upstream authentication fixes against Airflow's copied code
• Resolve compatibility failures after a dependency update

Draft commit messages, pull request titles and descriptions, and GitHub comments or reviews for Apache Airflow contributions. Follows project wording and AI attribution rules, and helps decide whether a change needs a release note.

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• Draft commit messages and pull request titles
• Prepare pull request descriptions using the project template
• Draft GitHub comments and review text

Design machine learning workflows from data preparation through training, validation, deployment, and monitoring. Use templates and guidance to connect stages, track versions and experiments, handle failures, and plan gradual releases with rollback options.

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• Designing an end-to-end machine learning pipeline
• Building reproducible training workflows
• Comparing models before production deployment

Compare money moving into and out of US exchange-traded funds to assess sector rotation and appetite for risk. Produce a structured view of broad market, growth versus value, bond, and thematic fund flows.

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• Review broad US equity ETF inflows and outflows
• Identify sectors attracting or losing capital
• Compare growth and value fund flows

Analyze Zeek and NetFlow records for ransomware-related activity, including regular callbacks to attacker infrastructure, TOR connections, and possible data exfiltration. Combine indicators into risk scores and structured reports with timelines to support threat hunting and incident investigation.

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• Hunting for active ransomware network activity
• Investigating possible data theft before encryption
• Checking periodic callbacks and TOR connections

Add error handling to n8n workflows with connected error outputs, retries, and failure notifications. Return HTTP status codes that explain what went wrong, distinguish invalid requests from service failures, and keep internal error details out of public responses.

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• Investigating workflows that fail without notification
• Returning clear errors from webhook APIs
• Retrying temporary network failures

Find the right specialist guidance for building, editing, testing, or debugging n8n workflows through n8n-mcp. This entry skill explains available tools, connection requirements, credential handling, and checks to perform before activating a workflow.

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• Finding the right skill for an n8n task
• Checking settings and connections before activation
• Investigating a workflow that behaves unexpectedly

Investigate Google Cloud network problems using traffic logs, performance metrics, and connection path tests. Identify blocked traffic, packet loss, and latency, summarize traffic volumes, or estimate VPC Flow Logs costs.

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• Investigate blocked traffic and packet loss
• Check latency and throughput trends
• Analyze Cloud NAT port exhaustion

Implement Kotlin applications with asynchronous tasks, shared code across platforms, Android interfaces, and servers. The skill covers state modeling, cancellation handling, tests, and code checks, with guidance for Compose, Ktor, and Flow data streams.

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• Implement asynchronous tasks with coroutines and Flow
• Design shared code for Kotlin Multiplatform
• Build Android interfaces with Jetpack Compose

Set up Git workflows for Gitee, Coding.net, 极狐 GitLab, and CNB with platform-specific connection and authentication examples. Choose branching rules, standardize Chinese commit messages, and adapt automated testing and deployment configurations to your team's workflow.

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• Configure connections and authentication for Chinese Git platforms
• Choose branching rules that fit the team
• Standardize Chinese commit messages and review templates

Create and edit EAS workflow YAML files to automate builds and deployments for Expo projects. Check required settings, job dependencies, and dynamic values against the latest schema, which defines the accepted configuration.

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• Create an automated build workflow for an Expo project
• Edit EAS deployment automation
• Check workflow settings and job dependencies

Identify whether a Matrix chat room is a request source or a task workspace, then create or reuse a project-specific task room. The skill also handles worker invitation details and preserves information about where requests originated.

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• Identify the purpose of a Matrix room
• Prepare a task room for a new project
• Reuse an existing room for the same project

Route GitHub Agentic Workflows requests to the appropriate task guide. It selects prompts for design, creation, updates, debugging, or upgrades, with additional guidance for specialized tasks and repository-specific instructions when available.

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• Starting workflow design through an interview
• Selecting guidance for creating or updating workflows
• Finding debugging or upgrade procedures

Analyze token usage and AI costs in GitHub Agentic Workflows, identify expensive steps and budget or timeout failures, and develop prioritized improvements checked against the original workflow’s output quality.

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• Investigating runs that exceed their AI budget
• Reducing costs in frequently scheduled workflows
• Reviewing workflows that hit time or turn limits

Routes requests to design, create, update, debug, or upgrade GitHub Agentic Workflows to the appropriate instructions. It helps the agent select a workflow-specific procedure and apply any additional rules defined for the repository.

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• Designing a new workflow through questions
• Investigating failed runs and recurring errors
• Upgrading workflows and addressing deprecations

Use this skill when the user is doing hands-on DOCA Flow DPA Provider work — exporting a `doca-flow` pipe or external resource (index-selector/memory) into BlueField DPA address space so a DPACC-built kernel can read counters, mutate hash-pipe entries, and update/read memory or index-selector resources inline with Flow. Covers per-port `doca_flow_dpa_ctx`, three queue types (general/resources-write/resources-read), the order-sensitive export handshake (`_export_prepare` → add entries → `_export` → `_get_device_addr`), and DPA-side device API. Trigger even when the user does not say "DOCA Flow DPA Provider" — implicit phrasings include "DPA kernel never sees entries in the exported pipe", "BAD_STATE from `_pipe_export`", "how do I disable a hash entry from a DPA kernel", "DPA memory read returns no value", or "DPA-side post keeps returning AGAIN". Refuse and route elsewhere for `doca-flow` pipe construction, generic host-side DPA (`doca-dpa`), or DPA-side kernel-writing — those belong to other skills.

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FLOW framework integration for bloggers. Evidence-led content workflow using the Find, Optimize, Win loop with stage-specific AI prompts from the FLOW knowledge base (30 blog-applicable prompts, adapted from FLOW under CC BY 4.0). Use when user says "FLOW framework", "blog flow", "/blog flow", "evidence-led blogging", or "find optimize win", or asks for stage-specific blog prompts. Not for generic prompt writing.

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JeecgBoot AI 编排流程（AIFlow）全生命周期管理——通过自然语言描述需求，自动创建、编辑、查询、删除、调试、发布 AI 编排流程。 只要用户意图涉及「AI编排」「AIFlow」就必须使用本技能，包括但不限于： 创建 AI 编排流程（"做一个AI流程"、"创建aiflow"、"新建编排"、"做一个知识库问答流程"、"创建一个大模型对话流程"）， 修改已有流程（"给流程加个节点"、"改一下LLM的提示词"、"修改流程"）， 查询流程（"查看流程列表"、"有哪些AI流程"）， 删除流程（"删除流程"、"移除XX流程"）， 调试运行流程（"调试流程"、"运行流程"、"测试流程"）， 发布管理（"发布流程"、"取消发布"）， 复制流程（"复制流程"、"克隆流程"）。 关键词触发：aiflow、ai-flow、AI编排、AI流程、编排流程、大模型流程、知识库流程、LLM流程。 注意：本技能仅处理 AI 编排流程（AIFlow），不处理 BPMN 工作流（使用 jeecg-bpmn）、 不处理简流（使用 jeecg-lowcode-miniflow）。

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