Generates B2B/B2C leads by scraping Google Maps, websites, Instagram, TikTok, Facebook, LinkedIn, YouTube, and Google Search. Use when user asks to find leads, prospects, businesses, build lead lis...
日本語の概要は準備中です。原文の説明を表示しています。
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Generates B2B/B2C leads by scraping Google Maps, websites, Instagram, TikTok, Facebook, LinkedIn, YouTube, and Google Search. Use when user asks to find leads, prospects, businesses, build lead lis...
日本語の概要は準備中です。原文の説明を表示しています。
Develop, debug, and deploy Apify Actors - serverless cloud programs for web scraping, automation, and data processing. Use when creating new Actors, modifying existing ones, or troubleshooting Acto...
日本語の概要は準備中です。原文の説明を表示しています。
Use when starting, stopping, or inspecting the dev stack for this Hydrolix Grafana datasource plugin — Grafana (with the plugin bind-mounted), ClickHouse, Keycloak (OAuth), and the on-demand playwright runner. Covers `docker compose up` semantics, the `dist/` prerequisite, serving plugin artifacts from an alternate folder (any path, live or frozen, via an ephemeral compose override), switching Grafana versions, hot-reload behaviour, delve attach, log streaming, OAuth/anonymous auth, and ClickHouse fixture access. Apply whenever a task needs the plugin running locally, needs to reset the stack, or needs to debug why Grafana won't come up.
日本語の概要は準備中です。原文の説明を表示しています。
Review FriendlyBet quality, regression risk, test plans, release readiness, version bump discipline, scoring/locking correctness, provider fallback behavior, and dirty-worktree safety. Use before shipping app code, scoring changes, migrations, sports integrations, copy updates, PWA cache changes, or any risky user-facing flow.
日本語の概要は準備中です。原文の説明を表示しています。
Generate or refresh docs/ARCHITECTURE.md from current codebase state with evidence-backed component and data-flow mapping
日本語の概要は準備中です。原文の説明を表示しています。
Context-aware remapping of stale parent shard references to new sub-shard targets after shard split operations
日本語の概要は準備中です。原文の説明を表示しています。
Systematic methodology for verifying that IA, BE, and FE specification layers are mutually consistent. Covers coverage matrices, field mapping checks, error code propagation, access control consistency, and data contract drift detection.
日本語の概要は準備中です。原文の説明を表示しています。
Analyzes codebase structure, data flow, module relationships, and key patterns to generate and maintain a living architecture document (ARCHITECTURE.md).
日本語の概要は準備中です。原文の説明を表示しています。
Bu template'in tasarim sistemi referansi — renk (colorScheme + AppThemeColors semantic token'lari), tipografi (textTheme slotlari, Poppins/Inter), spacing/radius/golge/sure token'lari (AppPaddings, AppRadius, AppShadows, AppDurations, AppIconSizes), paylasilan widget katalogu (AppPrimaryButton, dort-durum widget'lari, AppTextField, sheet'ler), 8 varyantli light/dark tema ve easy_localization. Kullanici UI yazarken/duzenlerken "renkleri projeye gore kullan", "bu butonu projeye gore yaz", "hangi spacing/radius", "tasarim sistemine uydur", "style guide", "tema token'lari" dediginde kullan.
日本語の概要は準備中です。原文の説明を表示しています。
Use single-quoted strings for multiline git commit messages in the Shell tool. Prevents heredoc escaping failures that produce garbled commit messages.
日本語の概要は準備中です。原文の説明を表示しています。
How to upgrade `alchemy` and the `effect` constellation across this repo and keep them consistent for consumers: which packages pin what, why `effect` and every `@effect/*` companion move as one set, what breaks in a typical upgrade, and how to verify a standalone `npm install` still resolves a single `effect`. Use when asked to upgrade or bump alchemy or effect, when a deploy dies inside an alchemy provider with a `TypeError` naming a missing combinator, when `check:npm-effect-resolution` fails, or when deciding whether the alchemy patch is still needed.
日本語の概要は準備中です。原文の説明を表示しています。
Know when NOT to speak in group chats. Use this skill before replying in any group conversation to decide if a response adds unique value or is just noise. Prevents unsolicited jumping-in, echo responses, and unnecessary acknowledgments.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Cucumber — cucumber BDD testing management and analysis. Covers feature file organization, step definition mapping, scenario tagging, Gherkin syntax validation, test report parsing, and step reuse analysis. Use when managing Cucumber test suites, investigating BDD scenario failures, or reviewing feature file coverage.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Deno Deploy Deep — deep Deno Deploy analysis covering project inventory, deployment history, KV database usage, cron job schedules, custom domain mappings, analytics metrics, and environment variable auditing. Use for comprehensive Deno Deploy platform management.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Codeowners — cODEOWNERS file management covering ownership mapping analysis, coverage gap detection, team assignment validation, orphaned path identification, and review requirement auditing. Use when auditing code ownership across repositories, identifying unowned code paths, validating team configurations, or optimizing pull request review workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Caprover — capRover self-hosted PaaS management covering app inventory, container status, custom domain mappings, persistent directory mounts, environment variable auditing, cluster node status, Docker registry integration, and Nginx configuration review. Use for managing CapRover infrastructure.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Cloudflare Workers Deep — deep analysis of Cloudflare Workers deployments including script inventory, route mappings, KV namespace usage, Durable Objects, cron triggers, CPU time metrics, and error rate tracking. Use for comprehensive Workers platform health checks and optimization.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Census — census reverse ETL management — monitor syncs, destinations, models, source connections, and sync run health. Use when debugging sync failures, inspecting record delivery, auditing destination mappings, or reviewing sync schedules.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Aws Lambda Deep — deep AWS Lambda analysis covering function inventory, cold start profiling, memory optimization, concurrency patterns, layer dependency auditing, dead letter queue health, event source mappings, and cost estimation. Goes beyond basic metrics to identify optimization opportunities.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Bigcommerce — bigCommerce store management including products, orders, customers, channels, shipping, inventory, storefront themes, and webhooks. Covers sales analytics, order fulfillment rates, inventory health, and multi-channel performance comparison.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Aws Eks — aWS EKS cluster management, nodegroup status, addon management, IRSA configuration, and cluster health analysis. Covers Kubernetes version tracking, nodegroup scaling, addon compatibility, IAM role mapping, and control plane logging.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Dependabot — dependabot and Renovate dependency update management. Covers vulnerability alerts, dependency update PRs, auto-merge configuration, version pinning, update scheduling, and security advisory tracking. Use when managing dependency updates, reviewing vulnerability alerts, configuring auto-merge policies, or auditing dependency health.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Kubescape — kubescape Kubernetes security posture analysis. Covers NSA/CISA framework assessment, MITRE ATT&CK mapping, CIS Kubernetes benchmarks, workload scanning, RBAC analysis, and network policy evaluation. Use when assessing Kubernetes cluster security, evaluating compliance frameworks, or analyzing workload configurations.
日本語の概要は準備中です。原文の説明を表示しています。
Use when starting/stopping the Remote Web UI on port 8901.
日本語の概要は準備中です。原文の説明を表示しています。