Art & Design

Use any time Claude Code touches the site's Pokémon card catalogue — server.js's /api/sets, /api/sets/:slug/cards, /api/cards/search routes, src/pages/Catalogue.jsx, src/data/eraMap.js, src/data/editions.js, or anything involving browsing/adding cards from PokeTrace's set/card list, era filters, set logos, or release-date sorting. Also use when asked whether the catalogue is "up to date" or "in sync" — it always is, by construction; there's no static file or rebuild step to check. Documents real gotchas found by hitting PokeTrace's and pokemontcg.io's live APIs that aren't mentioned in either's docs.

Expert photography prompt engineer specializing in crafting detailed, evocative prompts for AI image generation. Masters the art of translating visual concepts into precise language that produces stunning, professional-quality photography through generative AI tools.

Keep Fluncle's pinned/baked supply chain current — the version-drift sweep over the Hermes image's pins (base image, bun, the fluncle CLI, the Claude Code CLI), the box.ascii render-box CLI, and the GitHub Actions tags. Ships the clearly-safe bumps END-TO-END (edit the pin → PR → CI green → merge); a baked Dockerfile pin then self-deploys via the on-box fluncle-pin-watch timer (rave-02): rebuild → pre-smoke → swap → auto-rollback. Brakes (reports, never ships) on anything risky — a major bump, the base image, or auth/runtime/model. ALSO owns the dependency VULNERABILITY posture: the two advisory feeds (Dependabot + the blocking bun-audit CI workflow), the severity policy, the justified `--ignore` allowlist, and vulnerability-driven bumps sequenced by reachability. Use whenever checking for version drift, bumping a pinned Hermes dependency, judging whether a base-image / CLI / Actions-tag bump is safe, SHA-pinning the workflow actions, merging a safe bump, triaging a security advisory or the bun-audit findings

Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs...

Harden Docker/container images and runtime deployments with secure base images, non-root users, CVE scanning, SBOM/signing, seccomp/AppArmor, and Kubernetes pod security controls. Use for Dockerfile security reviews, container CVEs, image scanning, distroless images, or production hardening.

Broadcast images/files to Telegram and Zalo simultaneously.

Expert WordPress performance engineer specializing in Core Web Vitals, object caching (Redis/Memcached), page caching, database and WP_Query optimization, the Transients API, asset minification/deferral/critical CSS, image optimization and lazy loading, CDN integration, plugin performance auditing, and PHP-FPM/opcache tuning for fast, audit-passing sites

Runs the petty-cash approval flow end to end yourself — collect Lark DM/sheet/image context, extract receipt details, build the exact approval body, then SUBMIT the Lark approval instance.

Use when this project's work involves Next 16.3+ instant-navigation tests for apps already building with Cache Components — covers frontend, performance. Loads the original next skills bundled with this pack.

Create a standalone HTML guide for reading a GitHub PR's Files changed in code-flow order, with real diffs, expandable omitted code, and function/type definition previews. Use when the user wants an HTML PR walkthrough or a reusable companion to Files changed; ordinary prose explanations and bug reviews do not require this skill.

Use this skill for HUDs, buttons, menus, dialogue panels and on-screen text in melonJS. Covers UIBaseElement/UISpriteElement/UITextButton, Draggable and DropTarget, the floating screen-space container pattern, Text and BitmapText, web font loading, and NineSliceSprite panels. Triggers on: UI, HUD, button, UIBaseElement, UISpriteElement, UITextButton, Draggable, DropTarget, menu, dialogue, Text, BitmapText, font, fontface, wordWrapWidth, NineSliceSprite, score display, floating.

Runs an end-to-end structured tabular data science workflow: problem framing, schema/leakage/missingness checks, EDA, baseline before modeling, feature engineering, model comparison against the baseline, and error/slice analysis. Use when asked to analyze a dataset, build a predictive model, evaluate a model's performance, or investigate a data quality issue in tabular data. Do not use for pure data engineering/ETL with no analysis or modeling question, for unstructured data (images/audio/free text at scale) without a tabular framing, or when the task is answerable by a single summary statistic with no need for the full workflow — say so and just answer it.

Turns research into an auditable technical or product decision: defines the decision and constraints, gathers evidence with sources, separates evidence from assumption, compares alternatives against explicit criteria, and produces an ADR. Use when choosing between technologies/approaches ("Kafka vs SQS", "build vs buy"), documenting the reasoning behind a decision already made, or when asked to "research this and recommend one." Do not use for implementing the chosen option (that's a separate skill), or for open-ended research with no decision to make at the end.

Use this skill for post-processing effects, custom shaders, blend modes and colour grading in melonJS. Covers the built-in ShaderEffect presets, addPostEffect on renderables and cameras, writing a custom dual-language GLSL/WGSL effect, the screen_texture builtins, and why effects silently do nothing on the Canvas fallback. Triggers on: ShaderEffect, addPostEffect, removePostEffect, getPostEffect, VignetteEffect, GlowEffect, BlurEffect, PixelateEffect, ScanlineEffect, shader, GLSL, WGSL, uniform, setUniform, setTexture, setTime, blendMode, colorMatrix, screen_texture, toFrameTexture, post effect, filter.

Use this skill for anything 3D or 2.5D in melonJS — Camera3d, Mesh, InstancedMesh, Sprite3d billboards, Light3d, ground shadows, glTF/GLB scenes, and depth sorting. Covers the Y-down/+Z-forward convention that is the inverse of OpenGL, the cameraClass opt-in, clip planes, and what does not work on the Canvas fallback. Triggers on: Camera3d, Mesh, InstancedMesh, Sprite3d, Light3d, billboard, glTF, glb, 3D, 2.5D, depth, cameraClass, fov, setClipPlanes, setFog, fog, distance fog, height fog, heightFalloff, transparent, transparency, alpha, blendMode, fade, castGroundShadow, lit.

Use this skill for collision, physics bodies, movement, and spatial queries in melonJS — the built-in SAT world and the planck/matter adapters. Covers bodyDef vs Body, collision types and masks, the collision callback family and their firing rules, raycast/queryAABB/querySphere, and the behaviour differences between adapters. Triggers on: Body, bodyDef, collision, collisionType, collisionMask, onCollision, onCollisionStart, onCollisionActive, raycast, queryAABB, querySphere, PlanckAdapter, MatterAdapter, gravity, velocity, applyForce, isGrounded, SAT.

Use this skill for camera control and immediate-mode drawing in melonJS — following a target, viewport bounds, shake and fade, secondary cameras, and drawing shapes, lines and gradients inside a custom draw(). Covers world versus screen coordinate conversion, clipping and masking, and baking with CanvasRenderTarget. Triggers on: Camera2d, viewport, follow, setBounds, shake, fadeIn, fadeOut, worldToLocal, localToWorld, colorMatrix, renderer.fill, renderer.stroke, Rect, Ellipse, Polygon, Line, Gradient, clipRect, mask, CanvasRenderTarget, NoiseTexture2d.

Use when this project's work involves SwiftUI API, state, navigation and accessibility — covers frontend, performance, accessibility. Loads the original addy, swiftui skills bundled with this pack.

Agent skill 'pr-tour' from YunSinLee/pr-files-changed-guide.

Use this skill when a melonJS game drops frames, allocates heavily, or needs to scale to many objects. Covers object pooling, draw-call batching, atlases, baking with CanvasRenderTarget, instancing, culling and alwaysUpdate, the debug plugin, and where the real costs are. Triggers on: performance, slow, frame rate, fps, lag, pool, pool.register, pool.pull, batching, draw calls, InstancedMesh, culling, alwaysUpdate, inViewport, CanvasRenderTarget, optimise, profiling, debug plugin, memory.

Plan, deploy, operate, and troubleshoot multi-rack (rack scale) deployments of Azure Local — preintegrated racks scaling to hundreds of machines, built on Network Fabric Controller, Cluster Manager, SAN storage, and managed network fabric. Use for the Microsoft.NetworkCloud and Microsoft.ManagedNetworkFabric control plane. NOT for standard 1-16 node Azure Local, and NOT for rack-aware clusters (two racks as availability zones, up to 8 nodes, synchronous replication) — those are standard scale. WHEN: multi-rack, rack scale Azure Local, aggregation rack, compute rack, Network Fabric Controller, NFC, Cluster Manager, network fabric, isolation domain, az networkcloud, az networkfabric, multi-rack logical network, multi-rack Arc VM.

Build and query Kusto graphs from natural language. Covers transient graphs (make-graph), persistent graph models/snapshots, pattern matching (graph-match), shortest paths, connected components, and graph-to-table export. Generates the edges-first thinking: define edges, define node lookups, union, make-graph. WHEN: make-graph, graph-match, graph-shortest-paths, graph-to-table, graph-mark-components, persistent graph, graph model, graph snapshot, build a graph from data, find paths between nodes, pattern matching in graph, connected components, transient graph, Kusto graph, KQL graph.

Azure AI Voice Live SDK for .NET. Build real-time voice AI applications with bidirectional WebSocket communication. Use for voice assistants, conversational AI, real-time speech-to-speech, and voice-enabled chatbots. Triggers: "voice live", "real-time voice", "VoiceLiveClient", "VoiceLiveSession", "voice assistant .NET", "bidirectional audio", "speech-to-speech".

Azure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents using prebuilt and custom models. Use for invoice processing, receipt extraction, ID document analysis, and custom document models. Triggers: "Document Intelligence", "DocumentIntelligenceClient", "form recognizer", "invoice extraction", "receipt OCR", "document analysis .NET".