Build comprehensive epigenomic profiles for tissues or cell types using ENCODE data. Use when the user wants to characterize chromatin states, assemble histone modification panels, create epigenomic landscapes, run ChromHMM segmentation, identify super-enhancers or bivalent domains, profile regulatory elements across a biosample, or understand epigenetic regulation in a specific biological context. Covers histone marks, chromatin accessibility, TF binding, transcription, DNA methylation, and 3D genome structure.
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。
ammawla/encode-toolkit☆ 212026年9月27日 更新
Set up Muse's built-in Tailscale connector, join a tailnet or Headscale network, check status, and reach private machines through the TCP tunnel proxy. Read for Tailscale, VPN, MagicDNS, network egress, exit-node, or browser routing questions and supported limits.
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。
obra/muse-skills☆ 202026年10月13日 更新
Analyze a residential rental property as an investment — 1-4 unit single-family / duplex / triplex / quadplex, condo, townhome. Triggers: "rental analysis", "rental underwriting", "cap rate calculator", "BRRRR", "DSCR loan".
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。
tinh2/skills-hub-registry☆ 202026年9月5日 更新
Generate an institutional-grade commercial real estate underwriting model — input schema (T-12 income, T-3 trailing, rent roll, debt terms, exit assumptions), calc engine (Cap Rate, NOI, Cash-on-Cash, IRR, DSCR, Debt Yield, ROI, Equity Multiple, levered & unlevered returns).
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。
tinh2/skills-hub-registry☆ 202026年9月5日 更新
Conduct a competitive analysis. Use when the user says "competitive analysis", "how do competitors handle X", "market landscape", "blue ocean", "strategy canvas", "what does [competitor] do", "compare us to X", "positioning analysis", "value curve", or wants to understand how a product or feature compares to alternatives - even if they don't explicitly say "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。
qa-aman/claude-skills☆ 202026年10月13日 更新
Analyze competitors using Blue Ocean Strategy's ERRC Grid and Strategy Canvas (W. Chan Kim and Renee Mauborgne) to identify uncontested market space, not just who is better on the same axes. Produces an ERRC Grid, Strategy Canvas, positioning matrix, messaging comparison, and differentiation map. Use when the user asks for competitive analysis, competitor research, "how do we compare to X", positioning vs competitors, market landscape, "analyze our competition", "where is the blue ocean", or wants to update competitor docs. Writes to knowledge/markets/competitors.md. For a lightweight competitor summary in the knowledge base, see brand-context. For positioning against them, see positioning-doc.
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。
qa-aman/claude-skills☆ 202026年10月13日 更新
Blog strategy development including topic cluster architecture with hub-and-spoke design, audience mapping, competitive landscape analysis, AI citation surface strategy across ChatGPT/Perplexity/AI Overviews, distribution channel planning (YouTube, Reddit, review platforms for AI-citation SEO), content scoring targets, measurement framework, and content differentiation through original research and first-hand experience. Use when user says "blog strategy", "content strategy", "blog positioning", "what should I blog about", "blog topics", "content pillars", "blog ideation".
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。
gabrielmoreira/agent-skills-mirror☆ 192026年10月12日 更新
AI image generation and editing for blog content powered by Gemini via MCP. Generates hero images, inline illustrations, social preview cards, and OG images, and edits existing ones. Supports 6 domain modes (Editorial, Product, Landscape, UI/Web, Infographic, Abstract). Works standalone or internally from blog-write and blog-rewrite; falls back gracefully when MCP is unavailable. Use when user says "blog image", "generate hero image", "blog illustration", "edit blog image", "OG image".
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。
gabrielmoreira/agent-skills-mirror☆ 192026年10月12日 更新
พัฒนาเกมด้วย Unity C# หรือ Godot GDScript พร้อม physics save system UI pattern
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。
aiunlocked1412/claude-skill-unlock☆ 182026年4月17日 更新
Use when building games or interactive software in Godot 4 with C# — designing scenes and nodes, writing gameplay code, handling input, physics, animation, UI, rendering, save systems, performance work, WebSocket-based multiplayer, or exporting to platforms. Triggers on "Godot", "GDScript", "C# Godot", "scene tree", Godot node types (Node2D, Node3D, Control, CharacterBody), "_Process", "_PhysicsProcess", "signal", "autoload", "RPC", "WebSocketMultiplayerPeer", "shader", "export preset", or any Godot 4 project files. For game design see game-systems-designer; for balance see game-balancer; for game-specific intake see game-design-shaper.
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。
LazyIsEfficient/agentic-os☆ 172026年7月17日 更新
Complete competitive intelligence system — market mapping, product teardowns, pricing intel, win/loss analysis, battlecards, and strategic monitoring. Goes far beyond SEO to cover the full business landscape.
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。
modbender/skill-library-mcp☆ 162026年9月28日 更新
Universal Adobe application automation via ExtendScript bridge. Supports Photoshop, Illustrator, InDesign, Premiere Pro, and After Effects.
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。
modbender/skill-library-mcp☆ 162026年9月28日 更新
a fantasy landscape with a vibrant, sunset-inspired color palette of orange, pink, and purple.
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。
modbender/skill-library-mcp☆ 162026年9月28日 更新
Vulnerability analysis: OWASP Top 10, current threat landscape, supply chain security, attack surface mapping, risk prioritization. Use for security audits. NOT for STRIDE/CSO infra audits (mk:cso).
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。
ngocsangyem/MeowKit☆ 152026年7月28日 更新
Advanced vulnerability analysis principles. OWASP Top 10 baseline + current threat landscape awareness, Supply Chain Security, attack surface mapping, risk prioritization. Use when performing security audits, threat modeling, or OWASP reviews. NOT for STRIDE/CSO-mode infrastructure audits (see mk:cso).
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。
ngocsangyem/MeowKit☆ 152026年7月28日 更新
Analyzes species-environment relationships with constrained ordination (CCA, RDA, db-RDA), variance partitioning, indicator species (indicspecies IndVal.g group-equalized), PERMANOVA paired MANDATORILY with PERMDISP (Anderson & Walsh 2013; dispersion confounds centroid tests), Joint Species Distribution Models (HMSC, sjSDM, gjam) with explicit rejection of "residual covariance equals biotic interaction", phylogenetic community ecology (SES_MPD/MNTD), trait-environment via RLQ + fourth-corner with corrected modeltype=6 (Dray 2014), bipartite network metrics (NODF, modularity) with curveball null (Strona 2014), and Mantel-test replacements (dbRDA, GDM) for spatial data. Use when testing how environmental gradients structure communities, identifying habitat indicator taxa, partitioning variance among predictors, deciding whether PERMANOVA significance is location vs dispersion, picking among HMSC/sjSDM/gjam, or replacing Mantel tests for landscape data.
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。
lilinji/GeneTind-Life-Skills☆ 142026年8月21日 更新
Segments the genome into chromatin states from combinatorial histone modification and chromatin factor ChIP-seq data. Uses ChromHMM (multivariate HMM on binarized signal, v1.27), Segway (Dynamic Bayesian Network on continuous signal), EpiSegMix (flexible-distribution HMM with duration modeling, 2024), EpiLogos (multi-biosample visualization), IDEAS (cell-type-aware joint), and full-stack ChromHMM (Vu Ernst 2022) for cross-cell-type segmentations. Handles state-count selection (15 vs 18 vs 25 states), binarization choice, OverlapEnrichment / NeighborhoodEnrichment downstream analysis, and cross-biosample integration. Use when learning chromatin states from a histone mark panel, characterizing learned states by genomic feature enrichment, or comparing chromatin landscapes across cell types.
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。
lilinji/GeneTind-Life-Skills☆ 142026年8月21日 更新
Fits structural equation models to GWAS summary statistics using GenomicSEM (Grotzinger 2019), including common-factor models, confirmatory factor models, ESEM, common-factor GWAS with Q_SNP heterogeneity, multivariate Wald tests, and stratified GenomicSEM partitioned heritability. Reconciles results against MTAG multi-trait analysis. Handles sample overlap via the LDSC sampling-covariance matrix, identifies and resolves Heywood cases, and verifies model fit with CFI / RMSEA. Use when modeling latent genetic architecture across correlated traits, running multivariate GWAS on a shared factor, distinguishing factor-mediated from trait-specific SNP effects, or comparing GenomicSEM common-factor results against MTAG when both depend on accurate sampling covariance.
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。
lilinji/GeneTind-Life-Skills☆ 142026年8月21日 更新
Expert interior designer with deep knowledge of space planning, color theory (Munsell, NCS), lighting design (IES standards), furniture proportions, and AI-assisted visualization. Use for room layout optimization, lighting calculations, color palette selection for interiors, furniture placement, style consultation. Activate on "interior design", "room layout", "lighting design", "furniture placement", "space planning", "Munsell color". NOT for exterior/landscape design, architectural structure, web/UI design (use web-design-expert), brand color theory (use color-theory-palette-harmony-expert), or building codes/permits.
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。
curiositech/windags-skills☆ 132026年10月12日 更新
Strategic analyst that maps competitive landscapes, identifies white space opportunities, and provides positioning recommendations. Use when users need competitive analysis, market positioning strategy, differentiation tactics, or "how do I stand out?" guidance across any domain (portfolios, products, services). NOT for market size estimation or financial forecasting.
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。
curiositech/windags-skills☆ 132026年10月12日 更新
Expert legal research agent for finding and scraping expungement data state by state. Knows authoritative sources, URL patterns, Firecrawl configuration, and 2026 legal landscape.
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。
curiositech/windags-skills☆ 132026年10月12日 更新
Build, modify, run, test, screenshot, record, and export Godot 4.x games with the gdx CLI. Use when Codex needs to create a new Godot game project, attach to an existing Godot project, generate GDScript, build scenes/resources from JSON specs, edit a running scene through the gdx daemon, capture screenshots, record animation clips, send input, inspect game state, run Godot tests, or produce exports through gdx.
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。
zwx1127/gdx☆ 122026年8月5日 更新
[Investigation] Use when about to author a new Feature Spec from an idea — investigate all existing Feature Specs AND related code logic first to surface related/overlapping/affected specs, missing features, missing test cases/user stories, system unknowns, and the invariant landscape, before any spec is drafted.
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。
duc01226/EasyPlatform☆ 112026年8月21日 更新
[Research] Use when you need to analyze market landscape: competitors, sizing (TAM/SAM/SOM), trends, SWOT, customer segments.
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。
duc01226/EasyPlatform☆ 112026年8月21日 更新