'production' 검색 결과

Open the Creative Production start screen when a creative request is still undefined. The app presents starter choices that lead to an editable prompt, providing an entry point before a concrete production request is submitted.

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• Opening Creative Production without a detailed brief
• Exploring starter choices before deciding what to make
• Drafting a request from an editable starter prompt

This skill should be used when the user asks about "production management", "film budget", "scheduling", "crew management", "location logistics", "risk assessment", "act as a production manager", "production manager mode", "line producing", "production budget", "crew roles", "film insurance", "production timeline", "location permit", "production paperwork", or needs expertise in film budgets, production scheduling, crew management, location logistics, and risk mitigation for film projects. Part of the AlterLab FC Skills collection (Cinema & Digital Media department).

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Assess whether a GKE cluster or application is ready for production. Coordinates specialist skills to review scaling, security, reliability, monitoring, recovery, costs, and maintenance, then reports domain status, a weighted readiness score, and remediation priorities.

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• Review a GKE application before its production launch
• Assess production readiness across an entire cluster
• Prioritize fixes using domain status and a readiness score

[omh] Imminent production launch or release: evaluate release, deploy, security, observability, rollback, docs, and support readiness without claiming production access. Use when the user says: production-audit, production audit, production readiness, prod audit, prod readiness, ready for production, ready to ship, ship readiness.

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공개 전이나 변경 병합 후에 근거를 바탕으로 앱의 인증, 데이터, 결제, 운영을 점검합니다. 출시를 막는 문제와 우선 수정 항목을 운영 준비 상태로 정리합니다.

• 공개 전 운영 준비 상태 확인하기
• 변경 병합 후 위험 확인하기
• CI 통과 후 운영 위험 점검하기

공장의 설비, 인력, 자재, 납기를 고려해 생산 순서를 검토합니다. 작업 전환과 공정별 부하를 조정하고 설비 고장이나 자재 부족 시 계획 수정을 돕습니다.

• 제한된 설비에서 생산 순서 검토
• 설비 고장 후 계획 재수립
• 생산 묶음 크기와 전환 비용 비교

Look up a music production by its ID to retrieve metadata and an audio URL. Check whether stem separation, which splits audio into parts, MIDI extraction, or mastering has finished using the production’s latest status.

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• Retrieving metadata and an audio URL by production ID
• Checking whether stem separation has finished
• Checking MIDI extraction or mastering status

Guide a Kortix production release from choosing a version and writing release notes to testing on staging, merging the release pull request, and verifying production. Diagnose blocked promotions and direct fixes back to the dev branch.

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• Choose a version number for a Kortix release
• Promote dev through staging to production
• Investigate a blocked release

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

운영 환경의 동작과 장애 원인을 추적하도록 로그, 지표, 서비스 간 처리 경로와 알림을 설계합니다. 실제 출력과 알림까지 검증합니다.

• 운영 기능의 모니터링 정보 구성
• 서비스 간 로그 연결
• 알림과 대응 절차 검토

Extract MIDI or a score from an already generated music production using pitch tracking. The skill checks that MIDI is available and directs users to the dashboard for downloading it for transcription, arranging, or music software import.

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• Transcribing a previously generated track
• Using extracted MIDI for arranging
• Importing generated music into a DAW

Apply a mastering pass to an already generated track, adjusting perceived loudness and limiting audio peaks. See before-and-after loudness measurements, then access the mastered audio through the dashboard.

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• Adjusting a generated track for streaming
• Comparing loudness before and after mastering
• Limiting peaks in an existing production

Access and test protected Vercel deployments with agent-browser using an existing Vercel identity and a short-lived authentication token. Keep deployment protection enabled while diagnosing login redirects, environment access mismatches, and application authentication errors.

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• Testing a protected Preview deployment
• Diagnosing Vercel login redirects and protection errors
• Identifying access rules needed for Production testing

Prepare trained machine learning models for production with deployment, monitoring, and retraining workflows. Build RAG systems that retrieve documents for answers, and integrate language model APIs with retries, fallback providers, and cost tracking.

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• Deploying a trained model to production
• Setting up model monitoring and retraining workflows
• Building a RAG pipeline for document-based answers

Build a short, playable game sequence before full production to check whether the complete gameplay loop works at the intended quality. Use playtest observations and daily progress records to assess feasibility and decide the next direction.

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• Checking production feasibility after game design is complete
• Testing a complete gameplay loop with players
• Estimating production speed from actual build progress

Plan and create Google Kubernetes Engine clusters using templates for production, development, or AI workloads. Compare Google-managed and self-managed node options, review configurations before creation, and check settings for production readiness.

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• Create a production Autopilot cluster
• Compare Autopilot and Standard modes
• Prepare a development or test cluster

Investigate Convex production errors, prepare fixes on a branch, and verify them before opening a pull request for human review. After an approved deployment, check whether the same error recurs. Never automatically merge changes or deploy to production.

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• Investigating recurring production errors
• Preparing verified fixes for code or schema defects
• Checking data changes against a production snapshot

Inspect production errors recorded in Sentry through read-only API access. Summarize unresolved issues, recent crashes, occurrence counts, and event details to understand what happened and when each problem was last seen.

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• Review unresolved production issues from the last 24 hours
• Summarize recent crashes and occurrence counts
• Inspect events linked to a specific issue

Execute Apollo.io production deployment checklist. Use when preparing to deploy Apollo integrations to production, doing pre-launch verification, or auditing production readiness. Trigger with phrases like "apollo production checklist", "deploy apollo", "apollo go-live", "apollo production ready", "apollo launch checklist".

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Use production telemetry as INPUT to design new tests. Covers OpenTelemetry integration with tests, trace-based assertions, log-informed test creation, production-error analysis for coverage gaps, and telemetry-driven test prioritization. Use when: "trace-based testing," "design tests from logs," "OpenTelemetry assertions," "production errors point to test gaps," "telemetry-driven testing." Not for: safe rollout techniques (flags, canary) during release — use testing-in-production. Not for: scheduled post-deploy probes — use synthetic-monitoring. Not for: triaging CI failures — use ai-bug-triage. Related: testing-in-production, synthetic-monitoring, qa-metrics, ai-bug-triage.

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The orchestration layer for AI-native creative production. This skill coordinates multiple AI tools—video, image, audio, digital humans, effects—into cohesive campaigns, productions, and creative systems. As AI tools proliferate, the challenge shifts from "can we create this?" to "how do we orchestrate these capabilities into something coherent?" The AI Creative Director thinks in systems, not tools. In pipelines, not one-offs. In brand consistency across AI-generated assets. This is where creative vision meets technical orchestration. The AI Creative Director doesn't just use AI tools—they compose them into creative instruments that produce at scales and speeds previously impossible. Use when "AI creative director, orchestrate AI, AI campaign, multi-tool, AI workflow, AI pipeline, coordinate AI, AI production, AI creative system, full AI production, AI at scale, orchestration, creative-direction, ai-production, workflow, pipeline, multi-tool, scale, quality-control" mentioned.

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Operations management and lean production techniques for turning inputs into outputs under variability. Covers the Toyota Production System, seven wastes, just-in-time, kanban, jidoka, single-minute die exchange, 5 Whys, value stream mapping, bottleneck theory, and the distinction between mass production and flexible production. Use when diagnosing operational waste, designing production flows, setting up quality systems, or comparing batch-and-queue to one-piece flow.

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Expert in script-to-video production pipelines for Apple Silicon Macs. Specializes in hybrid local/cloud workflows, LoRA training for character consistency, motion graphics generation, and artist commissioning. Activate on 'AI video production', 'script to video', 'video generation pipeline', 'character consistency', 'LoRA training', 'cloud GPU', 'motion graphics', 'Wan I2V', 'InVideo alternative'. NOT for real-time video editing, video compositing (use DaVinci/Premiere), audio production, or 3D modeling (use Blender/Maya).

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Expert in script-to-video production pipelines for Apple Silicon Macs. Specializes in hybrid local/cloud workflows, LoRA training for character consistency, motion graphics generation, and artist commissioning. Activate on 'AI video production', 'script to video', 'video generation pipeline', 'character consistency', 'LoRA training', 'cloud GPU', 'motion graphics', 'Wan I2V', 'InVideo alternative'. NOT for real-time video editing, video compositing (use DaVinci/Premiere), audio production, or 3D modeling (use Blender/Maya).

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