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Found 200 Skills
Requirement-level progressive roadmap planning with issue creation. Decomposes requirements into convergent layers or task sequences, creates issues via ccw issue create, and generates roadmap.md for human review. Issues stored in .workflow/issues/issues.jsonl (single source of truth).
Full pipeline audio system generator. Use when building complete game audio systems that span MetaSounds + Blueprint + Wwise layers, generating AAA project structures, or orchestrating multi-layer audio from a natural language description.
Use this skill when designing, reviewing, or refactoring software architecture following Robert C. Martin's (Uncle Bob) Clean Architecture principles. Triggers on project structure decisions, layer design, dependency management, use case modeling, boundary crossing patterns, component organization, and separating business rules from frameworks. Covers the Dependency Rule, concentric layers, component cohesion/coupling, and boundary patterns.
Full-stack backend architecture and frontend-backend integration guide. TRIGGER when: building a full-stack app, creating REST API with frontend, scaffolding backend service, building todo app, building CRUD app, building real-time app, building chat app, Express + React, Next.js API, Node.js backend, Python backend, Go backend, designing service layers, implementing error handling, managing config/auth, setting up API clients, implementing auth flows, handling file uploads, adding real-time features (SSE/WebSocket), hardening for production. DO NOT TRIGGER when: pure frontend UI work, pure CSS/styling, database schema only.
Use when you need Teams-first multi-agent orchestration in Claude Code. Triggers on: omc, autopilot, ralph, ulw, ccg, team. 29+ specialized agents, smart model routing (Haiku→Opus), persistent execution loops, skill layers, real-time HUD.
Describes how blockchain analytics platforms work in practice, typical use cases (markets, compliance, law enforcement, tax, market integrity), tool layers like visualizers and tracers, and limitations of heuristic attribution. Use when the user asks about blockchain analytics for AML, transaction monitoring, forensic tracing, institutional ops, or taint-style analysis at a high level.
Find branch coverage gaps in changed code and fix them by writing missing tests. Two analysis layers: Source ↔ Test (logic branches vs test cases) and Spec ↔ Test (requirement scenarios vs test cases, when a spec file is provided). Use when verifying test completeness after implementing a feature or fixing a bug, when auditing whether tests match a spec, or when suspecting untested branches.
Use this skill when working with tilemaps in Phaser 4. Covers loading Tiled JSON maps, creating tilemap layers, tile collision, dynamic tiles, tile properties, and tilemap camera culling. Triggers on: Tilemap, Tiled, tilemap layer, tile collision, tile properties.
Generate a 3D interactive knowledge map (Inner Temple) from any Obsidian vault or document set. Supports multi-scale abstraction layers and dual-graph common maps between two vaults.
Generate 2D pixel art game assets, characters, sprite sheets, background removal, and game backgrounds. Trigger for "pixel art character", "sprite sheet", "walk cycle", "game sprites", "isometric sprites", "side-scroller assets", "RPG character sprites", "idle animation", "attack animation", "jump animation", "game background", "parallax background", "isometric map", "2D game art", "pixel art animation". Covers character generation (nano-banana-pro / gpt-image-2), sprite sheet animation (nano/edit or gpt-image-2/edit), background removal (Bria), and background generation (parallax layers or isometric map).
This skill should be used when debugging full-stack issues that span UI, backend, and database layers. It provides a systematic workflow to detect errors, analyze root causes, apply fixes iteratively, and verify solutions through automated server restarts and browser-based testing. Ideal for scenarios like failing schedulers, import errors, database issues, or API payload problems where issues originate in backend code but manifest in the UI.
Guidance for recovering PyTorch model architectures from state dictionaries, retraining specific layers, and saving models in TorchScript format. This skill should be used when tasks involve reconstructing model architectures from saved weights, fine-tuning specific layers while freezing others, or converting models to TorchScript format.