'workflow' 검색 결과

Announce a Google Drive file in a chosen Google Chat space using one gws workflow command. It retrieves the file name from Drive to build the announcement and lets you include a custom message.

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• Announce a Drive document to a team
• Notify a Chat space after uploading a file
• Add a custom message to a file announcement

Get a weekly overview of meetings and the unread email count in Gmail. This read-only workflow combines calendar and email information and returns it as JSON, a table, YAML, or CSV.

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• Reviewing this week's meetings at the start of the week
• Checking meetings and unread email counts together
• Exporting a weekly overview as a table or CSV

Prepare Python SDK releases by updating versions, package metadata, pinned dependencies, lockfiles, and build workflows. The skill covers release process changes and publication verification, helping agents handle packaging work within the repository’s release procedures.

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• Preparing a Python SDK release
• Updating pinned dependency versions
• Changing packaging metadata and build workflows

Plan how an AI agent should interact with Zoom through MCP, a protocol for calling tools. Assess task suitability, divide responsibilities between MCP and REST APIs, and identify connection, authentication, and client requirements.

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• Assessing whether MCP fits a Zoom task
• Dividing work between MCP and REST APIs
• Planning a Zoom Whiteboard workflow

Run NemoClaw live end-to-end tests, which check complete workflows, or inspect existing release evidence. Routes requests to local or trusted GitHub workflows and reports the tested commit, results, workflow link, and relevant job links.

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• Run end-to-end tests for the latest pull request commit
• Run end-to-end tests for the current main commit
• Test working-tree source in a requested local run

Create and maintain LifeOS skills, from initial file structure to validation and effectiveness testing. Update workflows, improve instructions, and refine descriptions so skills activate for appropriate requests, while checking naming conventions and handling of personal data.

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• Creating a new LifeOS skill
• Adding workflows or tools to an existing skill
• Checking and correcting skill structure

Analyze ARIS usage logs to propose evidence-based changes to skill instructions, reviewer prompts, and workflow defaults. Receive a report and focused patch proposals, with selected patches staged for a separate application process.

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• Investigate recurring workflow failures
• Review defaults that users frequently override
• Identify the current workflow bottleneck

Keep repository contribution guidance consistent after workflow changes. Compare agent skills, coding guidance, contributor documentation, and issue and pull request templates, then fix contradictory instructions, outdated references, and mismatched inventories.

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• Check guidance after adding or renaming skills
• Align issue and pull request conventions
• Find outdated workflow references

Build teams of AI agents with CrewAI, assigning roles such as researcher, writer, and analyst. Guidance covers passing results between tasks, running work in sequence or under a manager, adding memory, and creating workflows with conditional branches.

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• Connecting research, writing, and editing agents
• Coordinating specialist agents through a manager
• Branching workflows based on analysis results

Build Python workflows that constrain language model output using text patterns and grammar rules. Generate structured JSON, restrict classifications to allowed labels, extract information, and combine reusable generation steps with loops and tool selection.

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• Generate JSON with a defined structure
• Constrain date, email, and identifier formats
• Classify text using a fixed set of labels

Build machine learning workflows that connect data checks, training, evaluation, and deployment. The skill implements experiment tracking, model version management, and automated retraining, with reproducible environments and explicit validation thresholds before models enter production.

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• Automate model training and retraining workflows
• Record and compare machine learning experiments
• Build a feature store for model input data

Deploy ClawHub to production or publish a stable CLI release to npm. Check prerequisites for the exact commit, run the release workflow, and verify the deployed behavior or published version with traceable release evidence.

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• Deploy ClawHub to production
• Publish a stable ClawHub CLI version
• Check release prerequisites for a specific commit

Turn plain-language descriptions or Mermaid diagrams into interactive, standalone HTML diagrams of systems, workflows, API exchanges, data flows, and state changes. Validate layouts, explore relationships, switch themes, and export diagrams as images or video.

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• Explain system components and their relationships
• Visualize workflows and approval steps
• Map API calls and data pipelines

Run a YAML workflow, a file defining tasks and roles, using the AI in the current session. Resolve inputs and step dependencies, carry out each role's work, and save individual outputs and the final result.

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• Running a workflow defined in a YAML file
• Reviewing a PRD with product manager and architect roles
• Creating a story with narratologist and psychologist roles

Define reusable OpenRig agent setups, roles, and workflows in specification files. Review dependencies that prevent use on another host, distinguish specifications from bundles and extensions, and verify both file structure and actual execution.

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• Defining reusable agent roles and workflows
• Reviewing specifications for use on another host
• Testing specifications in a clean OpenRig environment

Set up an OpenRig team for ongoing repository work, with clear ownership, implementation, independent review, and handoffs. Choose direct coordination, a task queue, or an explicit workflow, then expand the team as authorized work requires.

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• Starting a builder and reviewer team for a repository
• Keeping ownership visible across task handoffs
• Choosing direct work, a queue, or a workflow

Audits GitHub Actions workflows that run AI coding agents. Traces how attacker-controlled content reaches prompts, checks permissions and sandbox settings, and reports evidence, severity, and fixes for prompt injection and related configuration risks.

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• Reviewing workflows that run AI coding agents
• Tracing issue and PR content into agent prompts
• Checking sandbox settings and user allowlists

Route data analysis requests to focused workflows for metric checks, business decisions, charts, dashboards, and reports. Identify usable data sources and guide the next step, with delivery choices based on the available environment.

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• Choose a workflow for a broad analytics request
• Investigate conflicting metric definitions
• Start an analysis report from uploaded data

Build AI agents on Cloudflare Workers with the Agents SDK. Implement persistent state, real-time chat, scheduled tasks, multi-step background workflows, and MCP servers, using current Cloudflare documentation to guide implementation.

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• Build agents that retain and synchronize state
• Create real-time chat with resumable streaming
• Implement scheduled tasks and multi-step workflows

Design workflows for completing business lead records, verifying contact details, and ranking prospects against an ideal customer profile. Plan provider sequences in Clay, scoring rules, and data quality checks around lead volume, existing tools, and budget.

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• Designing a workflow to fill missing lead data
• Defining lead scores against an ideal customer profile
• Reviewing email verification when bounce rates rise

Guide team Git work with consistent commit messages, branch naming, and review practices. Follow concrete steps for everyday development, urgent fixes, releases, merge conflicts, and version tags, including guidance on when to use merge or rebase.

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• Write commit messages using Conventional Commits
• Organize branches and Pull Request reviews
• Resolve conflicts during merge or rebase

Set up Python projects and manage packages, isolated environments, and Python versions with uv. Includes migration guidance and lockfiles that record dependency versions, plus workflows for consistent installations in CI and Docker.

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• Setting up a new Python project
• Migrating from pip or Poetry to uv
• Keeping dependency versions consistent across environments

Design metrics that measure whether a workflow achieved its intended outcome using recorded session evidence. Choose built-in checks or custom JavaScript, retain suitable Bash evaluators, and define tests that distinguish success, failure, and missing evidence.

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• Define outcome metrics for a workflow
• Build evaluators from recorded session evidence
• Migrate existing Bash evaluators

Review CI/CD pipelines, the workflows that build and release software, for unsafe code execution, exposed secrets, and excessive permissions. Combine automated scanning with manual checks to document reproducible findings and suggested fixes.

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• Reviewing GitHub Actions workflows
• Checking secrets and token permissions
• Inspecting self-hosted runners