'workflow' 검색 결과

Debug AEM Workflow issues on AEM as a Cloud Service — stuck workflows, failed steps, missing Inbox tasks, launcher failures, stale instances, thread pool exhaustion, queue backlogs, purge failures, and permissions errors. Use when the user reports workflow problems on Cloud Service, asks why a workflow is stuck or failed, needs step-by-step troubleshooting, or provides thread dumps, configuration status output, or Sling Job console output for analysis.

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예측 시장과 거래 에이전트의 흐름을 약관, 데이터 품질, 비밀 정보, 개인정보, 거래 실행 관점에서 점검하고 문제점과 필요한 대책을 정리합니다.

• 거래 서비스 인증 추가 전 검토
• 자산 정보와 API 키 처리 점검
• 시장 데이터 품질과 출처 표시 확인

의료 앱 공개 전에 진료 판단 지원 로직, 환자 정보 유출, 데이터 무결성 등을 검증하는 스킬입니다. 중대한 테스트가 실패하면 배포를 중단하는 구성을 제시합니다.

• 전자 의무 기록 공개 전 검증
• 약물 상호작용과 투여량 검증 변경 확인
• 권한 변경 후 환자 정보 유출 확인

전자 의무 기록의 진료 기록, 처방, 검사 결과 화면을 설계합니다. 약물 상호작용 경고, 변경 이력, 의료 현장에서 입력하기 쉬운 화면의 설계 지침을 정리합니다.

• 진료 흐름 설계
• 약물 상호작용 경고 구현
• 검사 결과의 이상 수치 표시

개발 목표에 맞는 ECC 명령 그룹을 골라 실행 순서와 중단 조건을 안내합니다. 현재 파일을 읽어 용도별 목록을 정리하며 명령은 실행하지 않습니다.

• 버그 수정에 필요한 명령 순서 확인
• MVP 개발용 명령 선택
• ECC 작업 절차를 용도별로 조회

Use the Venice.ai API for video generation and transcription workflows. This catalogue entry helps agents discover the skill; running the complete workflow requires installing the upstream bundle with its scripts, assets, and references.

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• Generating videos through the Venice.ai API
• Requesting transcription through Venice.ai
• Adding video workflows to an agent's planning

Find and install command-line tools that let AI agents operate professional software. Search by task or category, check which workflow capabilities are available locally, and install the specific tools needed for a multi-tool project.

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• Find command-line tools for image editing or 3D modeling
• Check available tools for a video production workflow
• Install only the capabilities needed for a task

Run molecular property predictions, explore molecular shapes, and estimate how compounds bind to proteins through a cloud Python API. Process compound batches and connect modeling steps without maintaining local high-performance computing infrastructure.

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• Predicting properties across a compound library
• Exploring molecular shapes and tautomeric forms
• Estimating how compounds bind to proteins

Build, run, and troubleshoot data processing pipelines with Nextflow and nf-core. The skill guides modular workflow development, input preparation, testing, cached restarts, and configuration for local computers, computing clusters, or cloud environments.

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• Run an nf-core workflow with a samplesheet
• Build and test reusable DSL2 modules
• Investigate failed runs and restart with cached results

Build and operate bioinformatics workflows on Latch using Python, Nextflow, or Snakemake. Configure computing resources and input forms, move data, connect Registry records, and register, debug, launch, and monitor analysis runs.

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• Create and register Python analysis workflows
• Package Nextflow or Snakemake pipelines for Latch
• Connect Latch Data and Registry records

Reconstruct how an AI coding agent produced a feature, pull request, or report using local ax records. Connect sessions, commits, skills, and tool activity into an evidence-based sequence with key decisions, checks, and a repeatable recipe.

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• Tracing how a shipped feature was built
• Reconstructing development from a commit
• Finding the workflow behind work done on a known date

Review Monte Carlo alerts, score their likelihood of indicating an incident and their potential impact, and investigate likely causes. Use the same stages to design and test a repeatable triage workflow, starting with recommendations before enabling actions.

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• Reviewing recent Monte Carlo alerts
• Prioritizing alerts by incident likelihood and impact
• Designing and testing a recurring triage workflow

Build Apache Airflow data pipelines with clear task dependencies and schedules. This skill guides workflow design, retries, monitoring, local testing, and production deployment, with patterns for investigating failed runs.

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• Designing data pipelines and task dependencies
• Scheduling recurring batch jobs
• Testing Airflow workflows locally

Plan and build AI agents through selected stages of design, implementation, tool integration, memory, and evaluation. The workflow points to specialized skills for single agents, coordinated agent teams, and stateful workflows using CrewAI or LangGraph.

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• Designing an autonomous AI agent
• Building a team of agents with distinct roles
• Creating stateful workflows with LangGraph

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

Set up Kubernetes deployments with ArgoCD or Flux CD using GitOps, an approach that stores the desired system configuration in Git. Configure automatic synchronization, staged rollouts, secret management, and deployment workflows across environments or clusters.

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• Setting up automatic deployments from Git
• Managing deployments across multiple Kubernetes clusters
• Configuring canary or blue-green releases

Create and maintain project documents in conductor/ covering the product, technology stack, development workflow, and work units. Extract context from existing code, check document consistency before implementation, and update documentation as the project evolves.

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• Set up context documents for a new project
• Document an existing codebase for onboarding
• Check project documents before implementation

Design and implement Saga workflows across services, using compensating actions to undo completed work after failures. Define step deadlines, handle repeated messages safely, and monitor stalled order, booking, or other long-running processes.

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• Coordinating orders across inventory, payment, and shipping services
• Designing compensation for failed bookings
• Investigating workflows stuck during compensation

Audit GitHub Actions workflows and run history to identify wasted automated checks and runner time. Get up to three evidence-based improvements aimed at reducing runtime or cost while preserving required validation.

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• Investigate long GitHub Actions runs
• Review CI costs and unnecessary workflow runs
• Improve caching and cancellation of overlapping runs

Turn a successful workflow from the current session into a reusable OMC skill draft. Capture inputs, ordered steps, decision rules, pitfalls, and verification evidence, then choose an appropriate storage location.

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• Preserving a hard-won debugging workflow
• Turning project-specific procedures into skill drafts
• Deciding whether a workflow belongs in a skill or documentation

Prepare batches of merged SGLang pull requests for a release branch. It checks conflicts and previous attempts, starts the cherry-pick workflow, monitors completion, and reports created pull requests or failure reasons.

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• Prepare multiple merged PRs for a release branch
• Check conflicts before starting workflows
• Detect previous cherry-pick PRs

Turn reusable decisions, templates, and workflows from a conversation into a new workspace Skill. It guides planning, user approval, file creation, validation, optional behavior testing, and publication for use by future agents.

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• Saving a recurring workflow as a Skill
• Preserving agreed rules for future agents
• Packaging a reusable template

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 and operate AutoGPT agents that carry out multi-step workflows. Covers a visual editor for connecting processing blocks, scheduled and webhook triggers, deployment, execution monitoring, and benchmarks for evaluating agent performance.

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• Build an AI workflow in a visual editor
• Run agents on a schedule or external event
• Add custom agent abilities with Forge