Discover profitable business ideas from scratch. Analyzes market gaps, trending niches, user skills, and competitive landscapes with a competitive intelligence protocol including 4-filter benchmark stress test and Blue Ocean differentiation grid. Use when the user has no idea what to build, wants to explore opportunities, needs market research, competitive benchmarking, or says 'find me a business idea', 'what should I build', 'market research', 'find opportunities', or 'competitive analysis'.
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。
iamzifei/show-me-the-money☆ 1,0852026年9月1日 更新
Use when a UE5 task involves characters in motion: "import FBX from Maya" with a skeleton, "retarget animations", IK Rig, IK Retargeter, feet sinking or floating after retarget, mocap cleanup, Motion Matching, Pose Search, Choosers, GASP, state machine vs motion matching, root motion, offset root bone, foot IK, Control Rig, Animation Blueprint cost, "animation is expensive", budget allocator, URO, MetaHuman LODs, ML Deformer, cloth.
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。
scenario-labs/skills☆ 9982026年10月13日 更新
Manage Home Assistant configuration safely and fast — edit and deploy YAML (automations, blueprints, scripts, scenes, templates, MQTT), validate with ha core check, deploy via git or rapid scp, reload-vs-restart correctly, verify changes from logs, traces and entity state, and build Lovelace dashboards. Use for any Home Assistant config, automation, template, or dashboard work over SSH/hass-cli/MCP.
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。
komal-SkyNET/claude-skill-homeassistant☆ 9692026年7月5日 更新
Progressive delivery with Argo Rollouts and Flagger. Use when implementing canary deployments, blue-green deployments, or traffic shifting strategies.
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。
rohitg00/kubectl-mcp-server☆ 9642026年4月9日 更新
Deploy and manage Kubernetes workloads with progressive delivery. Use for deployments, rollouts, blue-green, canary releases, scaling, and release 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。
rohitg00/kubectl-mcp-server☆ 9642026年4月9日 更新
Optimize content and site structure for AI-driven search experiences including AI overviews, large language model citations, generative answer engines, and AI assistants. Use this skill whenever the user wants to optimize for AI search, get cited by language models, appear in AI overviews, build llms.txt, structure content for AI extraction, or future-proof their SEO for the shift from blue links to AI answers. Triggers on AEO, GEO, AI search, AI SEO, AI overview, generative search, LLM optimization, llms.txt, AI citation, ChatGPT search, Perplexity, Gemini, Claude search, AI assistant optimization, answer engine. Also triggers when the user expresses concern about AI eating their organic traffic or wants to understand how to remain visible as search shifts.
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。
rampstackco/claude-skills☆ 9612026年10月7日 更新
DevOps for CI/CD, containers, Kubernetes, and Terraform. Use when building pipelines, containerizing apps, managing clusters, provisioning cloud infra, deploying with blue- green/canary, or handling infrastructure incidents.
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。
borghei/Claude-Skills☆ 9072026年10月7日 更新
Generate and optimize GitHub Actions CI/CD workflows. Use when designing workflows, planning multi-environment deployments, optimizing pipeline cost and runtime, or implementing blue- green, canary, or rolling deployment strategies.
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。
borghei/Claude-Skills☆ 9072026年10月7日 更新
Verification-first methodology for the post-WWII tribunals: the IMT at Nuremberg, the twelve Nuremberg Military Tribunals, and the IMTFE at Tokyo. Citations are verified against the official records (Blue/Green Series, Pritchard-Zaide) and the digital archives (Avalon, Harvard NTP, UVA IMTFE). Guards the four classic traps (IMT vs NMT; Nuremberg vs Tokyo; Charter article numbers; majority judgment vs separate opinions, e.g. the Pal dissent). Research aid, not legal advice. Part of the open-source "Skills for International Justice" library — methodology: github.com/jeannesulzer/international-criminal-tribunals-skills
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。
lawve-ai/awesome-legal-skills☆ 8642026年10月3日 更新
When you want to monitor known sources on a schedule and feed the good stuff into your second brain. Configure sources once (YouTube, RSS/newsletters, subreddits, Hacker News, Bluesky, Mastodon, X, LinkedIn, keyword searches); each run fetches only what's new, scores it against your stated focus, writes one digest to the vault, and auto-captures high-signal items into raw/. Everything else waits in the digest until you promote it. Modes — run, digest, promote, add / sources / pause, doctor, schedule (daily launchd or systemd job). Triggers on "/radar," "run my radar," "check my sources," "what's new from my sources," "add a source," "monitor this channel," "watch this subreddit," "track this account," "daily digest," "promote item 4," "radar doctor." Complements second-brain (radar fills raw/, second-brain compiles it) and deep-research (standing surveillance vs a one-off dive).
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。
coreyhaines31/makerskills☆ 8602026年10月9日 更新
Expert blueprint for AI pathfinding (tower defense, RTS, stealth) using NavigationAgent2D/3D, NavigationServer, avoidance, and dynamic navigation mesh generation. Use when implementing enemy AI, NPC movement, or obstacle avoidance. Keywords NavigationAgent2D, NavigationRegion2D, pathfinding, NavigationServer, avoidance, baking, NavigationObstacle.
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。
thedivergentai/Game-Dev-Agentic-Skills☆ 8502026年10月14日 更新
Expert blueprint for GPU particle systems (explosions, magic effects, weather, trails) using GPUParticles2D/3D, ParticleProcessMaterial, gradients, sub-emitters, and custom shaders. Use when creating VFX, environmental effects, or visual feedback. Keywords GPUParticles2D, ParticleProcessMaterial, emission_shape, color_ramp, sub_emitter, one_shot.
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。
thedivergentai/Game-Dev-Agentic-Skills☆ 8502026年10月14日 更新
Expert blueprint for performance profiling and optimization (frame drops, memory leaks, draw calls) using Godot Profiler, object pooling, visibility culling, and bottleneck identification. Use when diagnosing lag, optimizing for target FPS, or reducing memory usage. Keywords profiling, Godot Profiler, bottleneck, object pooling, VisibleOnScreenNotifier, draw calls, MultiMesh.
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。
thedivergentai/Game-Dev-Agentic-Skills☆ 8502026年10月14日 更新
Expert blueprint for console platforms (PlayStation, Xbox, Nintendo Switch) covering controller-first UI, certification requirements (TRCs/TCRs), platform services (achievements, cloud saves), and performance compliance. Use when targeting console releases or implementing gamepad-only interfaces. Keywords console, PlayStation, Xbox, Switch, TRC, TCR, certification, controller, gamepad, achievements.
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。
thedivergentai/Game-Dev-Agentic-Skills☆ 8502026年10月14日 更新
Expert blueprint for desktop platforms (Windows/Linux/macOS) covering keyboard/mouse controls, settings menus, window management (fullscreen, resolution), keybind remapping, and Steam integration. Use when targeting PC platforms or implementing desktop-specific features. Keywords desktop, Windows, Linux, macOS, settings, keybinds, ConfigFile, DisplayServer, Steam, fullscreen.
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。
thedivergentai/Game-Dev-Agentic-Skills☆ 8502026年10月14日 更新
Expert blueprint for mobile platforms (Android/iOS) covering touch controls, virtual joysticks, responsive UI, safe areas (notches), battery optimization, and app store guidelines. Use when targeting mobile releases or implementing touch input. Keywords mobile, Android, iOS, touch, InputEventScreenTouch, virtual joystick, safe area, battery, app store, orientation.
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。
thedivergentai/Game-Dev-Agentic-Skills☆ 8502026年10月14日 更新
Expert blueprint for VR platforms (Meta Quest, PSVR, SteamVR, Pico) covering XR toolkit (OpenXR), comfort settings (vignetting, snap turning, teleport), motion controls, hand tracking, and 90+ FPS requirements. Use when targeting VR headsets or implementing immersive 3D experiences. Keywords VR, XR, OpenXR, Meta Quest, motion sickness, comfort, locomotion, XRController3D, foveated rendering.
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。
thedivergentai/Game-Dev-Agentic-Skills☆ 8502026年10月14日 更新
Expert blueprint for HTML5/web export on Compatibility (WebGL 2.0): JavaScriptBridge, localStorage wrapper, custom loading shells, COOP/COEP hosts, relative paths, beforeunload, visibility pause, and size optimization. WebGPU is out of scope. Keywords: web, HTML5, WebGL, Compatibility, JavaScriptBridge, localStorage, COOP, COEP, canvas, browser API.
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。
thedivergentai/Game-Dev-Agentic-Skills☆ 8502026年10月14日 更新
Expert blueprint for procedural content generation (dungeons, terrain, loot, levels) using FastNoiseLite, random walks, BSP trees, Wave Function Collapse, and seeded randomization. Use when creating roguelikes, sandbox games, or dynamic content. Keywords procedural, generation, FastNoiseLite, Perlin noise, BSP, drunkard walk, Wave Function Collapse, seeding.
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。
thedivergentai/Game-Dev-Agentic-Skills☆ 8502026年10月14日 更新
Expert blueprint for Godot 4 project organization (feature-based folders, naming conventions, version control). Enforces snake_case files, PascalCase nodes, %SceneUniqueNames, and .gitignore best practices. Use when starting new projects or refactoring structure. Keywords project organization, naming conventions, snake_case, PascalCase, feature-based, .gitignore, .gdignore.
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。
thedivergentai/Game-Dev-Agentic-Skills☆ 8502026年10月14日 更新
Expert blueprint for quest tracking systems (objectives, progress, rewards, branching chains) using Resource-based quests, signal-driven updates, and AutoLoad managers. Use when implementing RPG quests or mission systems. Keywords quest, objectives, Quest Resource, QuestObjective, signal-driven, branching, rewards, AutoLoad.
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。
thedivergentai/Game-Dev-Agentic-Skills☆ 8502026年10月14日 更新
Expert blueprint for physics queries using RayCast, ShapeCast, and DirectSpaceState. Covers hit detection, volume overlap, mouse picking, and high-performance server-side intersection queries. Use when implementing projectiles, LOS, terrain grounding, or AI sensors. Keywords raycast, shapecast, direct_space_state, intersect_ray, intersect_shape, PhysicsRayQueryParameters, collision mask, mouse picking.
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。
thedivergentai/Game-Dev-Agentic-Skills☆ 8502026年10月14日 更新
Expert blueprint for data-oriented design using Resource/RefCounted classes (item databases, character stats, reusable data structures). Covers typed arrays, serialization, nested resources, and resource caching. Use when implementing data systems OR inventory/stats/dialogue databases. Keywords Resource, RefCounted, ItemData, CharacterStats, database, serialization, @export, typed arrays.
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。
thedivergentai/Game-Dev-Agentic-Skills☆ 8502026年10月14日 更新
Expert blueprint for RPG stat systems (attributes, leveling, modifiers, damage formulas) using Resource-based stats, stackable modifiers, and derived stat calculations. Use when implementing character progression OR equipment/buff systems. Keywords stats, attributes, leveling, modifiers, CharacterStats, derived stats, damage calculation, XP.
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。
thedivergentai/Game-Dev-Agentic-Skills☆ 8502026年10月14日 更新