Bevy ECS skill for messages and observers. Keywords: Bevy, Message, Event, Observer.
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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Bevy ECS skill for messages and observers. Keywords: Bevy, Message, Event, Observer.
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。
Expert patterns for managing combat waves, difficulty scaling, and automated enemy spawning in Godot 4. Use when building wave-based shooters, tower defense, or arena games.
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。
Data-driven resource harvesting (mining, logging, foraging) for Godot 4: apply_hit tool/tier validation via HarvestToolData enums, HarvestResourceData yields, harvestable_node shake/deplete, respawn_manager world persistence, UNIX offline progress, autosave, and noise vein proc-gen. Trigger keywords: apply_hit, HarvestResourceData, HarvestToolData, offline UNIX, respawn_manager, tool tier, harvestable_node, FastNoiseLite veins.
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。
Bevy ECS skill for messages and observers. Keywords: Bevy, Message, Event, Observer.
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。
Design, evaluate, implement, or review image and video generation connectors for Timeline Studio. Use when adding a provider plugin, extracting the generation plugin host or registry, or checking a connector against Timeline Studio's authentication, output, localization, and My assets contract. Do not use for ordinary video editing or Codex plugin packaging.
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。
Configure Temps as an MCP (Model Context Protocol) server so AI assistants can interact with a Temps instance directly -- listing/inspecting projects and deployments, and (when write mode is enabled) triggering deployments with human confirmation. Use when the user wants to: (1) Set up the Temps MCP server, (2) Connect Claude Code/Desktop, Codex, Cursor, VS Code, Windsurf, or Zed to Temps, (3) Add Temps tools to an AI assistant, (4) Test the MCP wizard locally, (5) Manage multiple Temps MCP connections (dev, staging, prod, or several local dev slots) side by side. Triggers: "temps mcp", "configure temps tools", "add temps to claude", "temps ai assistant", "mcp server setup", "mcp add", "test the mcp wizard".
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。
Electron patterns for LlamaFarm Desktop. Covers main/renderer processes, IPC, security, and packaging.
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 managing dependencies between systems — autoloads, service locators, @export injection, and scene injection patterns
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 importing and managing assets — image compression, 3D scene import, audio formats, resource formats, and import configuration
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。
Optimize slow React Router loaders by eliminating redundant DB queries, creating slim query variants, and parallelizing independent fetches. Use proactively when writing or reviewing loader code that calls domain operations services (e.g. CourseOperationsService, VideoOperationsService), or when triaging a slow page load.
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。
Generates Custom Product Page metadata templates with screenshot strategies, keyword targeting, and audience-specific messaging for up to 35 page variants. Use when creating targeted App Store pages for different audiences, ad campaigns, or traffic sources.
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。
Performs unbiased cell type recognition from single-cell RNA sequencing data, by leveraging reference transcriptomic datasets of pure cell types to infer the cell of origin of each single cell independently.
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。
lisaClust provides a series of functions to identify and visualise regions of tissue where spatial associations between cell-types is similar. This package can be used to provide a high-level summary of cell-type colocalization in multiplexed imaging data that has been segmented at a single-cell resolution.
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。
A toolset for deciphering and managing biological sequences.
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。
Drive Codeman, the session manager this agent is running inside, over its HTTP API, from any agent CLI (Claude Code, Codex, Gemini CLI, OpenCode, Antigravity, Grok Build, DeepSeek Harness, OMP): list sessions, start worker sessions in any installed CLI, send them prompts, block until they finish (wait / wait-output / send-and-wait), read their output, and clean up; where available, message claude workers directly (Claude Code cross-session messaging). Use when asked to orchestrate or parallelize work across Codeman sessions, get a second opinion from another CLI or model, watch another session, or start and manage workers. Only usable inside a Codeman-managed session (CODEMAN_MUX=1); refuse to act otherwise.
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。
TrailSnap 仓库提交、推送、需求平台与 PR 工作流规则。Use when preparing commits, pushing branches, managing the corresponding platform requirement, creating or merging pull requests, or monitoring PR CI in this repository; do not use for ordinary code changes that do not involve submission.
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。
Expert knowledge for Azure Resource Graph development including troubleshooting, best practices, decision making, limits & quotas, configuration, and integrations & coding patterns. Use when querying via CLI/PowerShell/REST, using GET/LIST vs Query, handling paging/quotas, or Power BI ARG reports, and other Azure Resource Graph related development tasks. Not for Azure Monitor (use azure-monitor), Azure Policy (use azure-policy), Cost Management (use azure-cost-management), Azure Resource Manager (use azure-resource-manager).
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。
Expert knowledge for Azure Repos development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when managing Git/TFVC repos, branch policies, PR checks/status, CodeQL/security scans, or Azure DevOps integrations, and other Azure Repos related development tasks. Not for Azure DevOps (use azure-devops), Azure Pipelines (use azure-pipelines), Azure Boards (use azure-boards), Azure Artifacts (use azure-artifacts).
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。
Expert knowledge for Azure Service Connector development including troubleshooting, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when wiring Azure compute to Redis, databases, storage, messaging, AI services, or third‑party endpoints, and other Azure Service Connector related development tasks. Not for Azure API Management (use azure-api-management), Azure Connector Namespace (use azure-connector-namespace), Azure Logic Apps (use azure-logic-apps), Azure Service Bus (use azure-service-bus).
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。
Expert knowledge for Azure Virtual Network Manager development including troubleshooting, best practices, architecture & design patterns, limits & quotas, security, and configuration. Use when managing AVNM network groups/topologies, IPAM pools, connectivity hubs, UDRs, or security admin rules, and other Azure Virtual Network Manager related development tasks. Not for Azure Virtual Network (use azure-virtual-network), Azure Virtual WAN (use azure-virtual-wan), Azure Networking (use azure-networking), Azure Network Watcher (use azure-network-watcher).
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。
Expert knowledge for Azure Partner Solutions development including troubleshooting, architecture & design patterns, security, configuration, and integrations & coding patterns. Use when integrating Confluent/MongoDB via Service Connector, managing Datadog/Dynatrace/Elastic/New Relic, or Palo Alto Cloud NGFW, and other Azure Partner Solutions related development tasks.
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。
Expert knowledge for Azure Operator Service Manager development including troubleshooting, best practices, security, configuration, and integrations & coding patterns. Use when onboarding CNFs/VNFs, designing config groups, managing ACR artifacts, using ARM/CLI, or securing with Private Link, and other Azure Operator Service Manager related development tasks. Not for Azure Operator Nexus (use azure-operator-nexus), Azure Operator Insights (use azure-operator-insights), Azure Network Function Manager (use azure-network-function-manager), Azure Networking (use azure-networking).
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。
Expert knowledge for Azure Key Vault development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing secrets/keys, Managed HSM, Private Link, Entra ID auth, or key rotation/backup, and other Azure Key Vault related development tasks. Not for Azure Cloud Hsm (use azure-cloud-hsm), Azure Dedicated HSM (use azure-dedicated-hsm), Azure Payment Hsm (use azure-payment-hsm), Azure Information Protection (use azure-information-protection).
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。
Expert knowledge for Azure AI Metrics Advisor development including decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when configuring data feeds, tuning anomaly detection, managing alerts/hooks, or calling Metrics Advisor REST/SDKs, and other Azure AI Metrics Advisor related development tasks. Not for Azure AI Anomaly Detector (use azure-anomaly-detector), Azure Monitor (use azure-monitor), Azure Stream Analytics (use azure-stream-analytics).
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。