'dry' 검색 결과

Expert knowledge for Azure AI Custom Vision development including best practices, decision making, limits & quotas, security, integrations & coding patterns, and deployment. Use when exporting Custom Vision models, calling prediction APIs, using ONNX/TensorFlow, managing CMK/RBAC, or Smart Labeler, and other Azure AI Custom Vision related development tasks. Not for Azure AI Vision (use azure-ai-vision), Azure AI services (use microsoft-foundry-tools), Azure Machine Learning (use azure-machine-learning), Azure AI Foundry Local (use microsoft-foundry-local).

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Azure AI Hosted Agents (Python) workflow skill. Use this skill when the user needs Build container-based Foundry Agents with Azure AI Projects SDK (ImageBasedHostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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Azure AI Hosted Agents (Python) workflow skill. Use this skill when the user needs Build container-based Foundry Agents with Azure AI Projects SDK (ImageBasedHostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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Perform a comprehensive DRY (Don't Repeat Yourself) code review on a codebase. Identifies duplicated code, repeated logic, redundant patterns, and opportunities for abstraction. Use this skill whenever the user asks to review code for duplication, reduce repetition, apply DRY principles, refactor for reusability, find copy-pasted code, deduplicate logic, or audit code quality with a focus on redundancy. Also trigger when users say things like "clean up my code", "find repeated patterns", "too much boilerplate", "reduce code duplication", or "refactor for maintainability". Works on any language or framework.

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View, create, cancel, bid, and claim Aavegotchi GBM auctions on Base mainnet (8453). Subgraph-first discovery (Goldsky), with onchain verification + execution via Foundry cast. Safety-first: DRY_RUN defaults to 1 (simulate with cast call; only broadcast with cast send when DRY_RUN=0 and explicitly instructed).

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View, add, and execute Aavegotchi Baazaar listings on Base mainnet (8453). Buy with GHST directly or buy with USDC using swapAndBuy*. Safety-first: dryRun defaults true (simulate with cast call; only broadcast with cast send when dryRun=false / DRY_RUN=0).

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Refactor duplicated code by extracting helpers, shared abstractions, or clearer reusable structure. Use when asked to apply DRY, remove duplication, consolidate repeated logic, or run `/refactor:dry`.

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Azure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects including agents, connections, datasets, deployments, evaluations, and indexes. Use for AI Foundry project management, versioned agents, and orchestration. Triggers: "AI Projects", "AIProjectClient", "Foundry project"...

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Build container-based Foundry Agents using Azure AI Projects SDK with ImageBasedHostedAgentDefinition. Use when creating hosted agents that run custom code in Azure AI Foundry with your own container images. Triggers: "ImageBasedHostedAgentDefinition", "hosted agent", "container agent", "Foundry ...

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Detects deeply nested loops with duplicated inline logic and recommends extracting into small, named functions. Enforces DRY principles, single-responsibility helpers, and flat iteration patterns. Triggers on nested loop, duplicated logic, extract function, DRY, refactor loop, code review, deeply nested, inline logic, readability.

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Improve an AI agent's harness, the software that organizes its work, while keeping the model fixed. Test changes in a sandbox, measure their results, and retain variants that pass tests and demonstrate improvement.

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• Tune an agent harness without changing its model
• Compare changes to planning, context, or retry policies
• Try an offline dry run without executing tests

Back up and restore OmniRoute data from the command line. Manage incremental snapshots, scheduled backups, encryption, and cloud synchronization, with options to compare differences and preview data transfers or imports before applying them.

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• Create a backup before restoring data
• Schedule recurring backups
• Compare differences before cloud synchronization

Evaluate and improve the policy instructions that guide an AI agent using scored coding tasks. Run a learning cycle to compare candidates, or use the default dry run to inspect tasks and estimated costs without model calls.

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• Improving agent policies against a scored task set
• Estimating learning costs before running models
• Comparing candidates on held-out evaluation tasks

Fill Japan Post Web Yu-pri contents forms from JSON or CSV files through the browser. Preview planned entries, inspect page status, and save screenshots to support repetitive item entry before final shipment confirmation.

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• Entering multiple contents lines from JSON or CSV
• Previewing item entries before filling the form
• Saving screenshots and checking page status

Write more reliable Bash scripts for production automation, CI/CD pipelines, and system administration. Covers input validation, error handling, structured logs, safe temporary files, dry runs to preview changes, and scripts designed for safe reruns.

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• Writing production automation scripts
• Improving error handling in CI/CD scripts
• Adding dry runs to deployment scripts

Design Azure infrastructure from plain language or visualize existing resources as interactive diagrams. Refine the architecture through conversation, then generate Bicep infrastructure code, review it, and validate changes before deployment.

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• Designing a new Azure architecture
• Visualizing existing Azure resources
• Planning cost or security changes

Guide a development brief through specification, dependent tickets, implementation, review, and verification. Coordinate parallel work while keeping human approval at key decisions and recording agreed vocabulary, business rules, and the reasons behind technical choices.

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• Turning a development brief into a specification and tickets
• Coordinating parallel implementation across dependent tickets
• Approving acceptance criteria and testing boundaries

Write or revise instructions, specifications, tickets, and skill files so an agent can act without prior chat history. Make rules checkable, explain their reasons, define completion criteria, and keep authoritative information in one place.

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• Clarifying instructions in CLAUDE.md
• Making specifications and tickets actionable
• Adding completion criteria to skill procedures

Import text, files, URLs, repositories, and database content into cognee memory. This skill explains input handling, storage organization, extraction options, and cost estimates, while helping diagnose unsupported arguments and document update errors.

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• Importing documents, URLs, or database content
• Organizing stored information by project or topic
• Estimating tokens and cost before importing

Review open Mastra GitHub issues and trace reported defects to source code. Apply the @mastra/core label to confirmed core bugs, report uncertain ownership, and summarize whether fixes are active, stale, or unclaimed.

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• Checking whether reported bugs belong to @mastra/core
• Labeling confirmed core bugs with supporting evidence
• Previewing issue classifications without changing GitHub

Build a game launch checklist covering code, content, quality, stores, legal preparation, infrastructure, marketing, and operations. Tailor checks to the project's stage and release requirements, then summarize blockers, accepted risks, missing confirmations, and required sign-offs.

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• Reviewing launch readiness across departments
• Preparing checks for itch.io, Steam, or console releases
• Separating launch blockers from unassessed items

Prepare software releases by detecting version files, reviewing changes, and writing changelogs in multiple languages. The workflow updates versions, creates annotated tags with release notes, and can publish GitHub Releases or fill in missing historical releases.

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• Preparing a new version from recent changes
• Updating changelogs in multiple languages
• Previewing release changes without modifying files

Import existing notes and agent instructions into LifeOS by splitting content into sections and proposing destinations. Review uncertain classifications, approve selected groups, and retain source information alongside the imported material.

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• Importing Obsidian or Notion exports into LifeOS
• Moving notes from an older LifeOS installation
• Reviewing and importing CLAUDE.md or Cursor rules

Examine a DeFi yield aggregator, a protocol that collects investment returns, for missing role assignments and failures caused by tiny rewards. Includes a ten-category review, reproducible test templates, and vulnerability report drafts.

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• Checking reward contracts for missing role assignments
• Investigating harvest failures caused by tiny rewards
• Preparing vulnerability reproduction tests and reports