Find quick-win SEO content opportunities by comparing your site's existing content against competitor keyword rankings. Chains site-content-catalog and seo-domain-analyzer to build a content inventory, then identifies gaps — topics competitors rank for that you don't cover yet. Outputs a prioritized list of posts to write or update. Use when a seed/Series A team wants to start winning organic traffic without guessing.
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。
gooseworks-ai/goose-skills☆ 1,2472026年10月14日 更新
Creates a new graphics format spec (custom canvas dimensions + content rules) and publishes it to the Gooseworks library so any agent can render against it. Use when the existing community formats (carousel, story, infographic, slides, poster, chart, tweet, plus community additions) don't fit the user's canvas — e.g., LinkedIn banner 1584×396, story cover 1080×1920, event flyer 8.5×11in. Mirrors goose-graphics-create-style but for formats.
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。
gooseworks-ai/goose-skills☆ 1,2472026年10月14日 更新
Daily industry intelligence scanner. Scans web, social media, news, blogs, and communities for industry-relevant events, trends, and signals. Produces a comprehensive intelligence briefing plus strategic GTM opportunity ideas. Orchestrates existing scraping skills — does not reimplement data collection.
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。
gooseworks-ai/goose-skills☆ 1,2472026年10月14日 更新
Assembles microbial-community sequencing into metagenome-assembled genomes (MAGs) with metaFlye (ONT), metaSPAdes/MEGAHIT (Illumina), and hifiasm-meta/metaMDBG (PacBio HiFi), then recovers genomes via multi-binner consolidation (MetaBAT2, MaxBin2, CONCOCT, SemiBin2, VAMB -> DAS_Tool) and QCs them against MIMAG with CheckM2, GUNC, and GTDB-Tk. Covers why a metagenome is not a genome (uneven coverage, micro-diversity, strain collapse to consensus), differential-coverage binning, co-assembly vs per-sample, the rRNA-operon collapse that fails short-read MAGs, and strain resolution with inStrain. Use when reconstructing genomes from a microbiome, soil, ocean, or gut community, recovering MAGs, or resolving strain-level variation.
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。
GPTomics/bioSkills☆ 1,2192026年8月15日 更新
Structures biological experiments so inference is valid by construction, covering Fisher's principles (randomization, replication, local control), the experimental-vs-observational unit distinction and pseudoreplication (Hurlbert 1984; Lazic 2018), randomization mechanics (complete, restricted, stratified, rerandomization, run-order), blocking layouts (randomized complete block, Latin square, incomplete block), factorial designs and interactions, and the split-plot/nested error strata hidden inside multi-batch genomics. Use when deciding the experimental unit and what counts as a replicate, planning randomization and run order, choosing a blocked/factorial/split-plot/nested layout, avoiding pseudoreplication in cell-culture or animal studies, or specifying the random-effects structure of the analysis model. For assigning samples to sequencing batches/lanes/plates and batch-effect correction see experimental-design/batch-design; for regulated clinical-trial randomization see clinical-biostatistics.
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。
GPTomics/bioSkills☆ 1,2192026年8月15日 更新
Test-driven development for behaviour a unit test cannot reach, by writing the expectation against the running app before writing the code. Declare the consequence first, watch it fail, implement, watch it pass. Use when building a user-facing feature, when the user asks for TDD on UI or full-stack work, when a unit test cannot express the outcome that matters, or when you want a red-green loop that runs against the real app instead of mocks.
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。
reticlehq/reticle☆ 1,2172026年10月14日 更新
Integrate Core ML models in iOS apps for on-device machine learning inference. Covers model loading (.mlmodel, .mlpackage, .mlmodelc), predictions with auto-generated classes and MLFeatureProvider, compute unit configuration (CPU, GPU, Neural Engine), MLTensor, VNCoreMLRequest, MLComputePlan, multi-model pipelines, and deployment strategies. Use when loading Core ML models, making predictions, configuring compute units, or profiling model performance.
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。
dpearson2699/swift-ios-skills☆ 1,1952026年8月1日 更新
Generate and structure MATLAB unit tests using matlab.unittest and matlab.uitest features, including class-based tests, parameterized testing, fixtures, mocking, and app testing with gestures. Use when writing, generating, or adding tests, creating test classes, adding test methods, parameterizing tests, setting up fixtures, mocking dependencies, or testing App Designer apps. Do NOT use for running tests, collecting coverage, or CI/CD 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。
matlab/matlab-agentic-toolkit☆ 1,1662026年10月9日 更新
Perform aerospace unit conversions, time conversions, coordinate frame transformations, and rotation representations using Aerospace Toolbox. Use when converting units (length, velocity, angle, acceleration, angular velocity, force, mass, pressure, temperature, density), computing Julian dates or decimal years, transforming between coordinate frames (ECEF, ECI, LLA, flat Earth, geodetic/geocentric, NED, body, wind, stability), or working with rotation representations (Euler angles, DCM, quaternion, Rodrigues vector). Also use when the user asks about aerospace coordinate systems, reference frames, or rotation conventions.
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。
matlab/matlab-agentic-toolkit☆ 1,1662026年10月9日 更新
E-commerce growth strategy advisor. Diagnoses current business health using unit economics (CAC, LTV, AOV, contribution margin), identifies the highest-impact growth opportunities across 5 levers (traffic, conversion, AOV, retention, expansion), and builds a prioritized 90-day growth roadmap. Uses the Ansoff Matrix adapted for e-commerce to evaluate market penetration, channel expansion, product expansion, and new market entry. Includes multichannel readiness assessment (Amazon, Walmart, TikTok Shop, Etsy, DTC/Shopify/Shopify) and product line expansion analysis. No API key required. Use when: (1) planning next phase of e-commerce growth, (2) deciding whether to expand to new channels or products, (3) diagnosing why growth has stalled, (4) prioritizing what to fix or build next.
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。
nexscope-ai/eCommerce-Skills☆ 1,1442026年8月26日 更新
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☆ 1,0862026年9月1日 更新
Financial tracking, revenue analytics, expense management, and pricing optimization. Integrates with Stripe for revenue data, tracks unit economics, and generates financial reports. Use when the user needs revenue tracking, financial reports, pricing optimization, expense management, or says 'revenue', 'MRR', 'ARR', 'finances', 'pricing', 'expenses', 'profit', 'ROAS', or 'unit economics'.
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☆ 1,0862026年9月1日 更新
Social media management and community building automation. Creates content calendars, drafts posts, manages engagement, and builds audience across X/Twitter, LinkedIn, Reddit, Product Hunt, and other platforms. Use when the user needs social media strategy, content scheduling, community building, or says 'social media', 'tweet', 'LinkedIn post', 'Reddit', 'Product Hunt launch', or 'build audience'.
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☆ 1,0862026年9月1日 更新
Build responsive, mobile-first layouts using fluid containers, flexible units, media queries, and touch-friendly design that works across all screen sizes. Use this skill when creating or modifying UI layouts, responsive grids, breakpoint styles, mobile navigation, or any interface that needs to adapt to different screen sizes. Apply when working with responsive CSS, media queries, viewport settings, flexbox/grid layouts, mobile-first styling, breakpoint definitions (mobile, tablet, desktop), touch target sizing, relative units (rem, em, %), image optimization for different screens, or testing layouts across multiple devices. Use for any task involving multi-device support, responsive design patterns, or adaptive layouts.
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。
am-will/codex-skills☆ 1,0352026年7月15日 更新
Use when setting up URP (or choosing URP vs HDRP), configuring URP assets and quality tiers for PC and phones, lighting a stylized or realistic Unity scene (sun, sky, baked or mixed lightmaps, Shadowmask, Adaptive Probe Volumes, reflection probes), or fixing blurry shadows, light leaks, gray bakes, washed-out images, tonemapping and grading, bloom too expensive on mobile, TAA, STP or MSAA choices, GPU Resident Drawer setup, shader warm-up hitches, or a custom shader that vanished or lost its baked light.
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14日 更新
Use when a Unity 6.3 game is slow or stutters: low fps, frame spikes, hitches when entering areas or on first effects, GC spikes, too many draw calls or SetPass calls, CPU vs GPU bound questions, Profiler, Profile Analyzer, Memory Profiler, Frame Debugger or Project Auditor work, GPU Resident Drawer or SRP Batcher setup, LOD and Mesh LOD, shader warm-up and variants, memory or VRAM budgets, IL2CPP and build size, or proving a fix with numbers from a player.
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14日 更新
Use when a Unity 6.3 game must run in a browser: 'export to WebGL', Web build settings or Build Profiles, gzip or Brotli, Decompression Fallback, server headers, 'Unable to parse .framework.js.br', build too big or slow to load, itch.io, CrazyGames or Poki limits, Addressables or AssetBundles on the Web, 'Could not produce class with ID', Task.Run freezing the browser, WebGL 2 vs WebGPU, .jslib and SendMessage interop, a page text field that gets no keystrokes, mobile browsers crashing, HTTPS for sensors, hosting and rollout.
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14日 更新
Use when making or fixing real-time VFX in Unity 6.3: explosions, fireballs, projectiles with muzzle, trail and impact, spells, slashes, shockwaves, smoke, sparks, Particle System (Shuriken) or VFX Graph ('VFX Graph explosion', 'particles look bad', 'effect kills fps on mobile', 'too much overdraw'), mesh effects with scrolling textures, an uber VFX shader with LUT ramps, Custom Data and custom vertex streams, flipbooks and VFX textures, pink particles after URP upgrade, VFX budgets and readability.
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14日 更新
Use when a Unity 6.3 task involves character animation or cameras: Mixamo or mocap humanoid import and retargeting, Animator Controllers, blend trees, layers and avatar masks, root motion, foot sliding, IK and Animation Rigging, Playables, Timeline cutscenes, custom tracks and markers, Cinemachine 3 cameras, camera jitter, flipping blends or cameras hitting walls; or when clips import with no animation, a character T-poses, an idle drifts, feet slide or the head misses its aim target.
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14日 更新
Use when building or fixing game UI in Unity 6.3: main menu, settings screen (resolution, quality, volume, key rebinding), HUD, health bar, minimap frame; choosing uGUI or UI Toolkit or mixing both; 'UI scales wrong on phones', portrait to 4K, Canvas Scaler, anchors, layout groups collapsing, sort order, UXML/USS, data binding, TextMeshPro or UI Toolkit fonts missing glyphs, localized menus, gamepad navigation, UI draw calls, canvas rebuild spikes, UI tests, or capturing UI to check it.
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14日 更新
Use when building a Unity 6.3 level or open world: terrain from code or heightmaps, procedural islands, erosion, splat and foliage rules, trees and grass, ProBuilder graybox, level gym, modular kit and prefab placement, set dressing, landmarks and player guidance, the island's edge, spline roads, WFC, fog, additive scene streaming, or a world that hitches, pops in, leaks memory or runs slow on mobile. Keywords: Terrain, TerrainData, ProBuilder, blockout, graybox, modular kit, NavMesh, LoadSceneAsync, open world.
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14日 更新
Use when building a 2D game in Unity 6.3 URP: pixel-art or HD sprite import and PPU, sprite atlases, Tilemaps, Rule Tiles and reskins, the 2D Renderer and 2D lights with normal maps, 2D animation, a platformer or top-down controller ("make a platformer controller that feels good", coyote time, jump buffer, one-way platforms, spikes), Pixel Perfect Camera, a follow or room camera, hit stop and screen shake; or when pixel art looks blurry or shimmers, tiles show seams, 2D lights do nothing or cost too much, the jump feels floaty, or the camera loses the player when falling.
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14日 更新
Use when building or debugging Unity gameplay systems: enemy AI that patrols, chases and attacks, NavMesh baking and agents (AI Navigation 2), feet sliding on agents, state machines or behavior trees, physics projectiles that tunnel, the physics spiral, layers and the collision matrix, CharacterController vs Rigidbody characters, object pooling, 'hundreds of enemies', DOTS, Burst or Jobs decisions, Netcode for GameObjects multiplayer, audio mixers, snapshots, volume sliders and 3D combat sounds.
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14日 更新
Use when a Unity 6.3 game targets Android or iOS: phone frame budget, overheating after 20 minutes, 'my game stutters on phones', ASTC or ETC2 textures, audio import, URP mobile settings, touch controls, on-screen joystick, UI under the notch or safe area, slow startup, ANRs, 'Android build fails', AAB, keystore signing, target API 36, Google Play upload, iOS Xcode export or archive, privacy manifest, app size, in-app purchases (IAP 5), rewarded ads (LevelPlay), ad consent.
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14日 更新