2.4천건 · 관련도순
Tests whether an AI agent exposes real credentials embedded in accessible source code or configuration. It requests searches for keys, passwords, and private keys, then documents confirmed disclosures with file locations and conversation evidence.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Plan when an agent’s tool environments are created, kept available, released, and restored. Estimate peak concurrency, resource use during work and waiting, total task duration, and cost across model calls, tool execution, validation, and retries.
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Build GenLayer contracts that use AI or external evidence to make on-chain decisions. The skill guides independent validator checks, persistent data storage, error handling, and interactions between contracts, with pinned runtime versions.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Create, edit, and check mirrord.json files that connect a local application to Kubernetes. The skill produces minimal configurations, validates their structure and allowed settings, and explains problems with environment variables, files, and network behavior.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Assess Node.js applications for unsafe input handling and configuration weaknesses. The skill covers prototype pollution, where shared object properties are altered, plus template and command injection, proxy trust issues, and file exposure, with checks for observable impact.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Build research workflows that regenerate results from raw data with a single command. Organize project files, configure workflow tools, manage software environments and data versions, and prepare replication packages for journal submission.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Connect WordPress, Strapi, Contentful, or Ghost to notfair SEO tools through guided configuration and connection testing. Save credentials in .env.local so seo-analysis can automatically compare CMS content with Google Search Console data.
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Prepare the KERMT environment by checking Docker and GPU access, building the local container image when needed, and testing whether PyTorch detects GPUs inside it. Report the image details and detected GPU count before other KERMT workflows begin.
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Golang configuration library using spf13/viper — layered precedence (flag > env > file > KV > default), BindPFlag/BindPFlags, SetEnvPrefix + SetEnvKeyReplacer + AutomaticEnv, ReadInConfig + ConfigFileNotFoundError, Unmarshal + mapstructure struct tags, Sub for sub-trees, WatchConfig + OnConfigChange for hot reload, viper.New() for test isolation, and remote KV integration. Apply when using or adopting spf13/viper, or when the codebase imports `github.com/spf13/viper`. For CLI command structure alongside viper, see the `samber/cc-skills-golang@golang-spf13-cobra` skill. For general CLI architecture, see `samber/cc-skills-golang@golang-cli`.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Comprehensive market environment analysis and reporting tool. Analyzes global markets including US, European, Asian markets, forex, commodities, and economic indicators. Provides risk-on/risk-off assessment, sector analysis, and technical indicator interpretation. Triggers on keywords like market analysis, market environment, global markets, trading environment, market conditions, investment climate, market sentiment, forex analysis, stock market analysis, 相場環境, 市場分析, マーケット状況, 投資環境.
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Design isolated Algolia development, staging, preview, and production targets with explicit promotion rules. Use when environments share credentials or index names, or previews need bounded search data. Trigger with "Algolia environments", "Algolia staging setup", or "preview index".
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Separate Adobe development, stage, and production organizations/projects/workspaces, credentials, profiles, storage, events, budgets, and evidence. Use when the task requires adobe multi-environment isolation. Trigger with "Adobe environments", "separate Adobe staging", or "Adobe workspace setup".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when deciding which English agriculture / environment / earth-science journal skill to invoke next, comparing fit across the 30-journal agriculture-and-environment roadmap, or routing a manuscript before venue-specific re-framing. Routes by sub-field (agronomy / plant / soil / food / environment / earth / climate), contribution type, and evidence shape (field trial / lab assay / observational survey / model / dataset).
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Use when targeting Agriculture, Ecosystems & Environment or deciding whether an agroecosystem-environment manuscript fits this venue. Encodes the journal's fit, the field-to-landscape environmental-outcome bar, data-reporting expectations, house style, official-submission re-check, and desk-reject heuristics.
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Ensures the tenant has a usable Power Platform Pipelines host environment before any pipeline operation runs. Detects host state via the same resolution order as the Power Apps UI (org-db setting → BAP env metadata → default-custom-host setting); if any existing host (Platform or Custom) is found, uses it. If no host is bound to the source env, provisions a new **Platform Host** (recommended, idempotent) or a **Custom Host** via the BAP env-create API with the `D365_ProjectHost` template, or guides the user through PPAC install / `New custom host` (manual fallbacks). Polls lifecycle operations, verifies the host responds to Pipelines API calls, writes a host-check artifact other ALM skills consume. Use when asked to: "set up pipelines host", "ensure pipelines host", "no pipelines host", "install pipelines", "create pipelines host", "provision platform host", "provision custom host". Also invoked transparently by /power-pages:setup-pipeline when its host discovery step finds nothing.
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Expert knowledge for Azure Deployment Environments development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when defining environment.yaml, configuring dev centers/projects, using ADE/Dev CLI, custom images, or CI/CD deployments, and other Azure Deployment Environments related development tasks. Not for Azure DevTest Labs (use azure-devtest-labs), Azure Dev Box (use azure-dev-box), Azure Managed Applications (use azure-managed-applications), Azure Resource Manager (use azure-resource-manager).
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Fast Python environment management with uv (10-100x faster than pip). Triggers on: uv, venv, pip, pyproject, python environment, install package, dependencies.
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Manage OpenViking collections (OV libraries) from the command line with `ov-cp` — list / create / get / update / usage / get the data-plane API key / delete, plus managing the users and account data spaces of an enterprise-tier library (list / create / register / update / delete), account-scoped users / API keys / usage, and configuring how a library is billed (AgentPlan AFP deduction vs Volcano pay-as-you-go, `--pay-type` / `--seat-id`). Use when the user wants to provision or inspect an OpenViking library, fetch a library's data-plane API key, do the create→get-key cold-start, manage a library's users or accounts / 数据空间, set or switch a library's billing, or otherwise drive the OpenViking control plane (topapi). Authenticates with an Ark AgentPlan ApiKey.
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Comprehensive market environment analysis and reporting tool. Analyzes global markets including US, European, Asian markets, forex, commodities, and economic indicators. Provides risk-on/risk-off assessment, sector analysis, and technical indicator interpretation. Triggers on keywords like market analysis, market environment, global markets, trading environment, market conditions, investment climate, market sentiment, forex analysis, stock market analysis, 相場環境, 市場分析, マーケット状況, 投資環境.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
「Tell, Don't Ask」原則に基づくコードレビューと設計支援。オブジェクトの状態を問い合わせて 外部で判断するパターンを、オブジェクトに直接命じるパターンに変換する。カプセル化を強化し、 責任をデータを持つオブジェクトに集約する設計を促進する。コードレビュー、新規実装、 リファクタリング時にgetterの乱用やFeature Envyの改善が必要な場合に使用。 対象言語: Java, Kotlin, Scala, TypeScript, Python, Ruby, Go, Rust。 トリガー：「getterを減らしたい」「カプセル化を改善して」「Feature Envyを直して」 「オブジェクトに責任を持たせたい」「デメテルの法則」といったOOP設計関連リクエストで起動。
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Evaluates environmental liability exposure with remediation cost estimation, regulatory compliance requirements, and insurance coverage assessment. Use when analyzing environmental liabilities, estimating cleanup costs, or assessing environmental risk.
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スキル（SKILL.md）を新規作成または更新し、リモートリポジトリへ PR を作成・更新する。SKILL.md は正常系、references に参考情報と異常系、scripts に利用スクリプトを置き、すべて汎用化してパラメータを .env.example に外出しする（実値は .env）。毎回同じ形のプロジェクトを作るスキルには templates/ を同梱し、汎用スキャフォルダー（scaffold_from_template.py）でテンプレートから生成して開始できるようにする。会社・個別プロジェクト情報を排除して秘匿化し、Step 番号は整数で統一。最後に番号整合・自動化観点（Learn は MCP で検証、ブラウザ操作は VS Code 統合ブラウザ）をレビューし、既存のオープン PR があればそれを更新してコンフリクトを避け、無関係なら新規 PR を作成しつつマージ順を提示する。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Environment configuration and secrets management. Use when setting up .env files, managing secrets, or configuring environments.
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This skill should be used when the user asks to "install perlbrew", "set up Perl environment", "install Perl version", "manage Perl versions", "switch Perl version", "install plenv", or mentions Perl version management, development environment setup, or multiple Perl installations.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.