2262 个 ・ 集成工具: AWS · 按人气排序
Design AI agent analytics workflows across distributed tables and documents. Combine Knowledge Catalog for metadata, meaning information about data and its usage rules, with managed Spark processing to produce architecture diagrams, deployment guidance, and validation plans.
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Design a shared data platform across Google Cloud, AWS, and Azure for analytics and AI. The skill turns requirements into architecture diagrams, infrastructure code, deployment instructions, and validation checks using Apache Iceberg and BigQuery data agents.
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Guides authentication and access permissions for Google Cloud users and applications. It helps choose credentials for local development, production services, or external clouds, with guidance on short-lived credentials and avoiding downloaded service account keys.
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Manage encrypted API secrets across local, development, staging, and production profiles with dotenvx and Dotenv Armor. Covers storing and rotating credentials, sharing decryption keys, selecting runtime environments, and checking profile consistency with deployed AWS Secrets Manager settings.
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Monitor daily AWS spending by service and account, compare it with historical baselines, and send Slack alerts with cost differences and likely causes. Known planned increases are excluded, and cloud resources remain unchanged.
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Review Slack access requests against Okta role and team information, then prepare narrowly scoped GitHub or AWS IAM permissions. Apply changes only after an eligible person's approval and record the grant, reasoning, approver, and timestamp.
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Automate website tasks such as navigating pages, filling forms, clicking buttons, taking screenshots, and extracting data. The skill also supports web app testing, with specialized guides for Electron desktop apps, Slack, and cloud browsers.
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Check AWS S3 buckets and IAM roles against documented compliance rules. Identify public exposure, missing tags, and overly broad permissions, trace changes through audit logs, and prepare remediation requests for human review without applying fixes.
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Evaluate a machine learning GPU cluster during a cloud trial or acceptance test. Measure GPU computing performance, communication within and between machines, and local and shared storage, then compile the results into a dated Markdown report.
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Create or update Claude skills that capture specialized knowledge and repeatable workflows. Guides the organization of instructions, scripts, references, and templates, then covers initialization, validation, and packaging into a distributable skill file.
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Plan, deploy, and manage AWS infrastructure across computing, storage, networking, and serverless services. Get guidance on access permissions, backups, auditing, and cost management using AWS CLI and tools that define infrastructure in code.
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Plan a 10–12 page systems research paper for conferences such as OSDI and SOSP. Get section page budgets, paragraph roles, and writing patterns that connect the research problem, design decisions, and evaluation evidence.
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Manage applications in KubeSphere, from Helm and YAML deployment templates to repository synchronization, version review, and publication. The skill also guides inspection of installed applications and troubleshooting of installation or upgrade issues.
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Turn specialized knowledge and repeatable workflows into Codex skills. Follow guidance for defining usage examples, writing SKILL.md, organizing scripts and reference materials, validating the package, and improving existing skills through practical use.
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Manage isolated working environments in OpenShell using its command-line tool. Register gateways, create and connect to sandboxes, configure credential providers, and reuse workload templates with shared images, environment settings, and computing resources.
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Create or update Codex skills that package specialized knowledge, repeatable workflows, and tool instructions. The guide covers concrete use cases, folder structure, reusable resources, starter generation, and basic validation of names and required metadata.
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Turn recurring tasks and specialized knowledge into reusable agent skills. Plan instructions and supporting files, generate a starting structure, refine existing skills, and validate and package the result as a distributable .skill file.
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Sign in to a cloud provider’s command-line tool using a verification URL and one-time code approved on the user’s device. Check installation and account identity, save the login, and run commands within that user’s permissions.
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Deploy QM to Fly.io or AWS, set up administrator access, and configure connectors. The workflow covers model provider and sign-in choices, optional Slack activation, automated live checks, and a manual web acceptance check.
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Deploy the QM package from an organization-owned deployment repository to Fly.io or AWS. Set up an administrator, choose a model provider and sign-in method, configure connectors, and optionally activate Slack, with acceptance checks before handoff.
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Sign in to command-line tools through a browser or device verification code, then save the login to a keychain. Later commands can request the saved credentials by handle, an identifier, without exposing token contents in the conversation.
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Run the mobile app against local services in an iOS simulator, automate interactions with Maestro, and capture recordings or screenshots. Prepare demo data, inspect footage for private information, and restore the environment after recording.
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Start a CARLA simulator server from a downloaded release, packaged build, or source checkout. It selects the launch mode, supports headless or windowed operation, checks client connectivity, and guides clean shutdown.
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Plan systems conference papers with section page budgets, paragraph outlines, and writing patterns. Organize design choices, experimental evidence, and related work into a clear argument, then review the draft with submission checklists.
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