By FluxonLab
Game architecture, gameplay systems, game UI/UX, performance, prototypes, engine triage, and browser-game stacks (Phaser, Three.js, PixiJS).
Use when you need to design game entity, scene, asset, input, state, and save systems.
Use when you need to design or implement HUDs, menus, feedback, onboarding, and readable game UI.
Use when you need to implement gameplay loops, mechanics, controls, interactions, and progression safely.
Use when you need to build interactive prototypes, simulations, and browser/game media experiments.
Use when you need to build or review browser-based games with Phaser, Three.js, PixiJS, or Canvas/WebGL — game loop, rendering, physics, input, asset pipeline, and web game performance.
Use when building, debugging, or architecting browser games with Phaser 3 — covering Scene lifecycle, physics systems, sprite/atlas management, tilemap loading, input handling, and Vite-based TypeScript project setup.
Use when building 3D scenes in the browser with Three.js or React Three Fiber — covering Scene/Camera/Renderer setup, the render loop, GLTF loading, lighting, raycasting, and GPU-friendly instancing and frustum culling.
Use when building high-performance 2D rendering with PixiJS 8 — covering Application setup, Sprite/Container hierarchy, the Ticker loop, texture atlas loading, particle effects, batch rendering, and the WebGL/WebGPU backend switch.
Use when designing or reviewing engine-agnostic web game architecture — covering the fixed-timestep game loop, Entity-Component-System (ECS) pattern, state machine, asset loading pipeline, and save/load via localStorage or IndexedDB.
Use when diagnosing or optimising browser game performance — covering the 16.6 ms frame budget, requestAnimationFrame discipline, object pooling, sprite batching, GC spike reduction, Canvas vs WebGL trade-offs, and Chrome DevTools profiling workflow.
Uses power tools
Uses Bash, Write, or Edit tools
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Installable, permission-bounded, multi-platform agent skills & subagents — by FluxonLab.
One source of truth. Install the same curated skills, subagents, and slash commands into Claude Code, OpenAI Codex, GitHub Copilot, and Google Antigravity (Gemini) — with real permission boundaries, a validation harness, and full upstream attribution.
Quickstart · What's inside · Multi-platform · Safety · Build effort · Contributing
Most Claude Code resource repos are link lists (you still copy files by hand) or are Claude-only. Skillry is different on five axes:
| Skillry | Typical "awesome" list | Typical CLI installer | |
|---|---|---|---|
| Installs actual skill/agent files (not links) | ✅ | ❌ | ✅ |
| Multi-platform (Claude + Codex + Copilot + Gemini) | ✅ | ❌ | ❌ (Claude only) |
Per-agent permission boundaries (least-privilege tools) | ✅ | ❌ | ⚠️ |
| Validation harness (structure + frontmatter lint + permission + lockfiles) | ✅ | ❌ | ⚠️ |
| Skill-sync: discover (license + risk scan), normalize (frontmatter + provenance), vet (staged, attributed, never auto-enabled) | ✅ | ❌ | ❌ |
| Native plugin marketplace (sha-pinned, reproducible) | ✅ | ❌ | ⚠️ |
| Full upstream attribution for redistributed content | ✅ | n/a | ⚠️ |
These directly reflect Anthropic's own guidance: least-privilege tools, single-responsibility subagents, and auditing third-party skills before use.
# In Claude Code:
/plugin marketplace add FluxonLab/Skillry
/plugin install core-operations@skillry
Browse all departments with /plugin marketplace after adding.
# Runs straight from GitHub — no global install, no npm account required:
npx github:FluxonLab/Skillry install # dry-run, all platforms
npx github:FluxonLab/Skillry install --apply --targets claude # or: codex copilot antigravity
npx github:FluxonLab/Skillry install --apply --targets claude --community # include attributed 3rd-party skills
# Or install the CLI globally:
npm install -g skillry
skillry install --apply --targets claude codex
skillry validate
git clone https://github.com/FluxonLab/Skillry
cd Skillry
python3 tools/install.py # dry-run: shows what will be installed
python3 tools/install.py --apply --targets claude # or: codex copilot antigravity
The installer rewrites machine-specific paths to your $HOME and backs up any existing
config (*.bak-skillry) before writing. Dry-run is the default. Verify with
python3 tools/validate.py.
tools allowlists and read-only vs. write scopes.community/ set — 98 skills + 49 agents from 6 permissively-licensed sources,
redistributed with full attribution (MIT/ISC only — see NOTICE and
THIRD-PARTY-NOTICES).CLAUDE.md — a project-agnostic engineering operating manual
(inspect-first, surgical changes, security, i18n + theme parity, dev-launch defaults, honest
verification). It governs this repo and is written to be copied into your own project as a
strong default: cp CLAUDE.md /path/to/your/repo/CLAUDE.md.Core Operations · Runtime & Local App · Backend & API · Frontend & Web Design · Mobile & Desktop · Gaming & Interactive Media · Database & Data · AI & Agent Systems · Security · Testing & QA · DevOps & Release · Product, Docs & Research · Documentation & Tech Writing · Data & ML / AI Engineering · Performance & Cost · Cloud & Infrastructure · Skill Library & Installation · Optional Specialists
npx claudepluginhub fluxonlab/skillry --plugin skillry-gaming-interactive-mediaRepo diagnostics, architecture review, implementation planning, refactor safety, release readiness, and project bootstrap.
Agent workflow design, governance, prompt systems, RAG/vector search, LLM evaluation, and MCP gatekeeping.
API/interface design, backend review, auth/session, integration boundaries, error handling, and Python project review.
Cloud and infrastructure: Infrastructure-as-Code (Terraform), containers (Docker/Compose), Kubernetes, cloud provider services, networking/secrets, and deploy topology — distinct from CI/CD pipeline review.
Data and ML engineering: data pipelines, ETL/ELT, data quality & validation, feature engineering, notebook hygiene, model training/serving, experiment tracking, and dataset versioning.
Ultra-compressed communication mode. Cuts ~75% of tokens while keeping full technical accuracy by speaking like a caveman.
Comprehensive UI/UX design plugin for mobile (iOS, Android, React Native) and web applications with design systems, accessibility, and modern patterns
Multi-model consensus engine integrating OpenAI Codex CLI, Gemini CLI, and Claude CLI for collaborative code review and problem-solving.
Curate auto-memory, promote learnings to CLAUDE.md and rules, extract proven patterns into reusable skills.