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Azure App Configuration SDK for Python. Use for centralized configuration management, feature flags, and dynamic settings. Triggers: "azure-appconfiguration", "AzureAppConfigurationClient", "feature flags", "configuration", "key-value settings".
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Implement Terraform provider configuration and authentication with the Plugin Framework: provider schema for credentials (Optional + Sensitive attributes), environment variable fallbacks, credential provider chains (static config, then environment variables, shared credentials file, and platform identity), unknown-value guards in Configure(), secret redaction, configure-time credential validation, and diagnostics that name every source tried. Use when implementing or reviewing a provider's Configure method or provider schema, adding authentication options (API keys, tokens, profiles, credentials files, assume-role), deciding how a provider should resolve credentials, debugging "no valid credential sources" or missing-credentials errors, or unit testing credential resolution.
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Expert knowledge for Azure App Configuration development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using feature flags, dynamic config refresh, snapshots, Key Vault integration, or CI/CD config sync, and other Azure App Configuration related development tasks. Not for Azure App Service (use azure-app-service), Azure Key Vault (use azure-key-vault), Azure Functions (use azure-functions).
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Design, audit, and verify configuration, environment separation, secrets, BYOK flows, key rotation, config schema validation, and drift checks across local, dev, staging, and production. Use when adding env vars, changing runtime config, handling API keys or user-provided keys, diagnosing config drift, or preparing deploy/release configuration.
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Inspect, add, change, remove, repair, or update Claude and Codex configuration from Mizoreww/awesome-agent-config on main. Use for configuration queries and edits, installed skills/plugins/rules/MCP, and changes to this repository's configuration templates or catalogue.
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Extracts an embedded malware configuration (C2 hosts, ports, campaign IDs, keys) from a process memory dump by locating decrypted config structures and decoding common obfuscation layers. Activates for requests to extract malware config from a memory dump, recover C2 settings from a running sample, or decode an in-memory configuration block.
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Decrypts statically embedded malware configuration blobs by trying common schemes (single-byte and multi-byte XOR, RC4, base64 layers) and scoring decoded output for config-like content. Activates for requests to decrypt an embedded config, recover hardcoded settings from a blob, or brute-force a configuration encryption scheme.
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Configuring Salesforce Omni-Channel routing from scratch or updating existing routing: enabling Omni-Channel, creating Service Channels, configuring Routing Configurations (queue-based and skills-based), setting up Presence Statuses and Presence Configurations, assigning skills to Service Resources, and defining Skills-Based Routing Rules. Trigger keywords: Omni-Channel setup, routing configuration, queue-based routing, skills-based routing, presence status, service channel, routing rules. NOT for agent capacity units and channel weighting — use architect/omni-channel-capacity-model. NOT for Apex routing via PendingServiceRouting — use apex/omni-channel-custom-routing.
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Initialize the UniKit framework in a project. Scans the current project to detect the engine and real tech stack, then generates the base framework documents that give AI agents context about the project — the resolved project description, the architecture doc, AGENTS.md, and the user-editable .unikit/config.yaml. This is the one-time, whole-project setup run before any other unikit skill. Use whenever the user wants to initialize, set up, or onboard the framework, e.g. "initialize unikit", "init the framework", "set up unikit", "set up the project", "configure AI context", "scan my project and set it up", "bootstrap the project". It also actualizes the config of a project already set up — say "update the config", "add missing settings", "actualize configuration", "fix my config".
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Auto-activate for litestar_email, EmailPlugin, EmailConfig, EmailService, EmailMessage, SMTPConfig, ResendConfig, SendGridConfig, MailgunConfig, SESConfig. Not for marketing APIs — use vendor SDKs.
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このプロジェクトの i18n キー（翻訳）の参照・追加・更新・削除を行うスキル。i18n / 翻訳 / ロケール / `t` / `tt` / 翻訳キーに関わる操作のとき、および `config/locales` ディレクトリや `.yml` 翻訳ファイルを読む・参照する・編集するときは必ず使用すること。翻訳は原則 copy_tuner サーバで管理されており（一部キーのみ config/locales 管理）、素朴に config/locales を読むだけでは大半の翻訳が見つからず誤った判断をするため、必ずこのスキルの手順に従う。
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Azure App Configuration SDK for Python. Use for centralized configuration management, feature flags, and dynamic settings. Triggers: "azure-appconfiguration", "AzureAppConfigurationClient", "feature flags", "configuration", "key-value settings".
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Use for Nauthilus configuration loading, config schema and defaults, Viper-backed config formats, config dump behavior, vim syntax generation, template validation, prompt guideline sync, documentation under README/IDP/server docs, config converters, and generated documentation or syntax artifacts.
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Use when working with Config Cat — configCat feature flag management, remote configuration, A/B testing, targeting rules, and percentage-based rollouts. Covers flag listing, targeting rule management, environment overrides, audit log review, and SDK integration status. Use when managing feature flags, reviewing targeting rules, analyzing flag usage, or auditing configuration changes in ConfigCat.
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gtr のインストールと .gtrconfig を設定する。「worktree セットアップ」「gtr 設定」「gtrconfig 設定」「.gtrconfig 作成」「gtr インストール」「worktree 設定」などで起動。
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bu skill provides step-by-step procedures for identifying and remediating Amazon S3 bucket misconfigurations that expose sensitive data to unauthorized access. It covers enabling S3 Block Public Access at account and bucket levels, auditing bucket policies and ACLs, enforcing encryption, configuring access logging, and Dağıt:ing automated remediation using AWS Config and Lambda.
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通过mcporter命令管理连接AI代理与外部工具的MCP服务器。可列出服务器、检查工具输入输出规范、配置连接、完成认证并调用工具。
读取MCP配置，在不运行服务器的情况下检查批准后仍可能获取不同代码的包引用，分类npm、Python和Docker版本指定，并建议固定到团队已审阅的版本。
帮助配置和排查 Vite 项目，整理配置文件、环境变量、API 转发、插件与构建产物，调查开发服务器和依赖问题，并准备库的发布输出。
协助编写和审查Kubernetes配置文件并排查故障，提供健康检查、权限控制、资源限制及自动伸缩的配置示例和调查命令，用于检查重启、内存不足和部署问题。
调整RuView的WiFi设置、检测阈值、设备端处理和多节点协作，涵盖设备配置写入、服务器设置及Cognitum Seed集成。
在终端完成OmniRoute初始设置，查看和验证CLI工具配置，管理环境变量，检查并应用更新，以及启用或禁用自动启动。
在新仓库中配置Ruflo，通过交互式向导或standard预设完成MCP服务器注册、钩子及智能体初始设置，并创建项目所需的说明与配置文件。
Set up a language server, a tool that helps agents understand source code, for a project. Detect the language, install and configure the server, then verify that it responds to a diagnostic request.
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