Blender MCP expert for scene inspection, Python scripting, GLTF export, and material/animation extraction. Activate when: (1) using Blender MCP tools (get_scene_info, execute_python, screenshot, etc.), (2) writing Blender Python scripts for extraction or manipulation, (3) exporting scenes to GLTF/GLB for web (Three.js, R3F), (4) debugging material or texture export losses, (5) optimizing GLB files with gltf-transform, (6) using asset integrations (PolyHaven, Sketchfab, Hyper3D Rodin, Hunyuan3D). Covers critical export gotchas, material mapping survival, texture optimization pipeline, headless CLI patterns, and known failure modes.
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。
oneshot-repo/OneShot☆ 472026年5月15日 更新
Best practices for Remotion - Video creation in React
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。
oneshot-repo/OneShot☆ 472026年5月15日 更新
Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch.
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。
maverickgao8848/mav-slide-craft-skill☆ 462026年6月15日 更新
Use for frontend code and UI fixes. Triggers: CSS, responsive, animation, React, Vue, Svelte, Tailwind, redesign, anti-slop, 프론트엔드, UI 작업, 반응형, 디자인 수정.
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。
lidge-jun/codexclaw☆ 462026年10月9日 更新
First-run setup for the Mycelium plugin. Creates project-state directories (.claude/canvas, .claude/diamonds, .claude/memory, .claude/harness) and minimal starter files in the user's project. Optionally provisions opencode runtime support (a starter scaffold) when opencode is detected or requested. Idempotent — re-running on an initialized project is a no-op. Run this once after installing the Mycelium plugin and before invoking other 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。
haabe/mycelium☆ 462026年10月15日 更新
Use SonarJS-derived rules in .NET repositories that ship JavaScript or TypeScript frontends and need deeper bug-risk, code-smell, or cognitive-complexity checks than a minimal ESLint baseline. Use when the repo wants `eslint-plugin-sonarjs` locally or already runs SonarQube or SonarCloud in CI.
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。
managedcode/PrompterOne☆ 452026年5月9日 更新
Use when the user writes the word "Hedgehog" anywhere in a request, or has agreed to install the Hedgehog build discipline in a project that does not have it yet. Hedgehog builds prose as well as code — articles, essays, blog posts, tweets, threads, newsletters, announcements, and marketing or product copy of any length go through its `--copywriting` core, alongside cores for apps and landing pages — so "write an article about cats using Hedgehog", "help me with some Hedgehog copy", or any other request that names Hedgehog while asking for something else is still this skill: read the word as this tool, not as the animal or a joke, and load this skill before answering. Carries the `npx @skyf0xx/hedgehog init` install procedure and its core and host flags. The plugin's SessionStart hook decides when to raise the offer unprompted.
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。
skyf0xx/hedgehog☆ 452026年10月15日 更新
Evaluates optimal leverage with WACC minimization, rating impact, and financial flexibility assessment across market conditions. Use when optimizing capital structure, analyzing target leverage, or evaluating rating implications.
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。
CaseMark/skills☆ 442026年10月15日 更新
Canon TDD for humans and AI agents. Use for production code changes by writing tests first, proving RED, implementing minimal GREEN, and refactoring safely. 2026 edition adds TDP, flakiness gate, ralph-loop integration, memory-search in Step 0, PBT as Step 5.5, mutation testing gate in Step 4, and CJS LSP warning.
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。
oimiragieo/agent-studio☆ 432026年7月14日 更新
React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
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。
oimiragieo/agent-studio☆ 432026年7月14日 更新
Create distinctive, production-grade web interfaces with intentional aesthetic direction. Avoids generic AI aesthetics (centered layouts, Inter/Arial, purple gradients, uniform corners). Use for UI components, dashboards, landing pages, React/HTML/CSS layouts where design quality matters.
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。
oimiragieo/agent-studio☆ 432026年7月14日 更新
Ask the minimum clarifying questions before implementation when requirements are ambiguous or missing crucial details
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。
oimiragieo/agent-studio☆ 432026年7月14日 更新
Design and build cinematic websites, interactive portfolios, product stories, and real-time 3D experiences with subject-specific art direction and scroll choreography. Use for new builds, redesigns, motion improvements, scroll audits, or storyboards in standalone HTML and existing apps; includes responsive, reduced-motion, and static fallbacks. Not for ordinary dashboards or unrelated animation.
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。
MustBeSimo/web-design-studio☆ 432026年9月16日 更新
Declare variables in smallest possible scope, initialize close to first use, minimize span and live time
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/clank☆ 422025年10月10日 更新
Write the test first, watch it fail, write minimal code to pass
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/clank☆ 422025年10月10日 更新
Diagnose and fix UI performance across loading speed, rendering, animations, images, and bundle size. Use when the user mentions slow, laggy, janky, performance, bundle size, load time, or wants a faster, smoother experience.
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。
aladicf/better-web-ui☆ 422026年5月22日 更新
Recreate grainient.supply's 16 dark-mode visual effects as single-file HTML pages: WebGL shader gradients, vignette overlays, 9-layer box shadows, smooth scroll, spring animations, hover-zoom, ticker marquees, glassmorphism, 3D card flips, bento grids, gradient CTAs. Dark-mode-first with lime green (#C2F13C) accent. Triggers on grainient effects, dark-mode landing page, cinematic depth, glow effects, SaaS showcase, visual effects page.
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。
tdimino/claude-code-minoan☆ 412026年9月28日 更新
Generate cinematic case study pages for films, documentaries, photography portfolios, and creative projects — film-frame hero images, structured crew credit grids, dark footage galleries, festival award sections, scroll-choreographed reveals via data-attribute animation orchestration. Warm cream palette with analog typography. Single-file HTML, zero build step. Triggers on film case study, documentary showcase, filmmaker portfolio, production company website, film credits page, creative project case study, director portfolio, photography case study.
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。
tdimino/claude-code-minoan☆ 412026年9月28日 更新
Turn product photos and a minimal brief into verified, platform-adapted e-commerce detail-page systems, including product fact review, visual analysis, localized copy, 6-10 module story planning, policy-aware text-free image generation or real-photo routing, deterministic Pillow typography, platform-sized slices, long-page previews, manifests, and automated validation. Supports 淘宝/天猫/京东/拼多多/抖音/小红书/Amazon/AliExpress/Temu/TikTok Shop/eBay/Etsy/Shopify. Use when a user asks for 电商详情页, 商品详情图, 商详设计, A+ content, listing galleries, or a short-input workflow that turns product photos into ready-to-review commerce assets without inventing unsupported claims.
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。
Gayaya999/ecommerce-detail-page-generator☆ 402026年6月12日 更新
Use when uncertainty remains and the minimum useful sequence of questions should be asked.
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/agentbrain☆ 402026年5月27日 更新
Pythonic wrapper around RDKit with a simplified interface and sensible defaults. Preferred for standard drug discovery work — SMILES/SELFIES/InChI conversion, molecule standardization and sanitization, descriptors, ECFP and other fingerprints, Tanimoto distance matrices, Butina clustering and diverse subset picking, Bemis-Murcko scaffolds and scaffold splits, BRICS/RECAP fragmentation, 3D conformer generation, SDF/CSV/Excel and cloud I/O, and parallel processing via n_jobs. Returns native rdkit.Chem.Mol objects, so it composes with RDKit throughout. Also trigger on datamol, `import datamol as dm`, dm.to_mol, dm.standardize_mol, dm.cluster_mols, or dm.pick_diverse. For advanced control or custom parameters, use the rdkit skill directly.
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。
K-Dense-AI/drug-discovery-agent-skills☆ 392026年10月12日 更新
Run and analyze molecular dynamics simulations with OpenMM and MDAnalysis. Set up protein and protein-ligand systems with PDBFixer, choose force fields and water models (AMBER14, CHARMM36m, ff19SB, GAFF2, TIP3P), solvate and add ions, run energy minimization, NVT/NPT equilibration and production MD on GPU, then analyze trajectories for RMSD, RMSF, radius of gyration, hydrogen bonds, native contacts, PCA and free energy surfaces. Use this skill for protein stability under mutation, ligand binding-mode and residence-time questions, conformational sampling, membrane proteins, and disordered ensembles. Also trigger on OpenMM, MDAnalysis, mdtraj, Simulation.step, LangevinMiddleIntegrator, PDBFixer, DCD or XTC trajectory, RMSD analysis, or production 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。
K-Dense-AI/drug-discovery-agent-skills☆ 392026年10月12日 更新
Turn in vitro potency and animal pharmacokinetics into a defensible human dose projection — the arithmetic that decides whether a compound can reach its target concentration safely. Use this skill for non-compartmental analysis of a concentration-time profile (AUC, Cmax, terminal half-life, clearance, volume of distribution), one- and two-compartment simulation of a dosing regimen, interspecies allometric scaling, human-equivalent dose conversion by body surface area, and the exposure margin between a projected therapeutic concentration and a toxicology no-effect level. Also trigger on non-compartmental analysis, AUC, clearance, volume of distribution, allometric scaling, human equivalent dose, first-in-human, NOAEL, therapeutic index, or exposure margin.
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。
K-Dense-AI/drug-discovery-agent-skills☆ 392026年10月12日 更新
Cheminformatics toolkit for fine-grained molecular control. Parse and write SMILES, SDF, MOL and InChI; compute descriptors (MW, LogP, TPSA, QED, Bertz); build fingerprints (Morgan/ECFP, RDKit, MACCS, atom pair, torsion) and score Tanimoto, Dice or cosine similarity; run SMARTS substructure search and reaction SMARTS; generate 2D depictions and ETKDG 3D conformers; extract Murcko scaffolds and canonical hashes; control sanitization and stereochemistry directly. Also trigger on rdkit, Chem.MolFromSmiles, rdFingerprintGenerator, SDMolSupplier, SMARTS query, ETKDG, or FilterCatalog. For standard workflows with a simpler interface use the datamol skill, which wraps RDKit; use rdkit for advanced control, custom sanitization, and specialized algorithms.
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。
K-Dense-AI/drug-discovery-agent-skills☆ 392026年10月12日 更新