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Found 700 Skills
WHEN: User is writing Go code, asking about Go patterns, reviewing Go code, asking "what's the best way to...", "how should I structure...", "is this idiomatic?", or any question about error handling, concurrency, interfaces, packages, testing patterns, or code organization in Go. Also activate when user is debugging Go code, refactoring Go, or working in a Go project (go.mod present) and asks general coding questions. Trigger this skill liberally for ANY Go-related development work. WHEN NOT: Non-Go languages, questions entirely unrelated to programming
Implement OpenAI Harness Engineering practices in any repository. Use when setting up or refactoring agent-first workflows, writing or upgrading AGENTS.md and PLANS.md, creating deterministic smoke/test/lint/typecheck harness commands, defining strict architecture boundaries and data-shape contracts, wiring observability from day 1, and adding entropy-control checks plus CI automation for reliable autonomous runs.
Apply production-ready Customer.io SDK patterns. Use when implementing best practices, refactoring integrations, or optimizing Customer.io usage in your application. Trigger with phrases like "customer.io best practices", "customer.io patterns", "production customer.io", "customer.io architecture".
Canonical Zener HDL semantics, package rules, manifests, and high-value stdlib APIs. Use before non-trivial `.zen` creation, editing, refactoring, or review when the task touches `Module()`, `io()`, `config()`, imports, `pcb.toml`, `pcb.sum`, stdlib interfaces or units, or unfamiliar package APIs. Read this before editing instead of guessing.
This skill should be used when the user asks about Effect-TS patterns, services, layers, error handling, service composition, or writing/refactoring code that imports from 'effect'. Also covers Effect + Next.js integration with @prb/effect-next.
Spring Modulith for modular architecture in Spring Boot 3.x. Covers module structure, API vs internal packages, inter-module events, module testing, documentation generation, and observability. USE WHEN: user mentions "spring modulith", "modular monolith", "@ApplicationModule", "module boundaries", "inter-module events", "@ApplicationModuleTest", "modular architecture" DO NOT USE FOR: simple applications - unnecessary complexity, microservices - use proper service boundaries, existing tightly coupled monoliths - requires significant refactoring
Python design patterns for CLI scripts and utilities — type-first development, deep modules, complexity management, and red flags. Use when reading, writing, reviewing, or refactoring Python files, especially in .trellis/scripts/ or any CLI/scripting context. Also activate when planning module structure, deciding where to put new code, or doing code review.
Delegate coding tasks to Google Jules AI agent for asynchronous execution. Use when user says: 'have Jules fix', 'delegate to Jules', 'send to Jules', 'ask Jules to', 'check Jules sessions', 'pull Jules results', 'jules add tests', 'jules add docs', 'jules review pr'. Handles: bug fixes, documentation, features, tests, refactoring, code reviews. Works with GitHub repos, creates PRs.
Rust performance optimization guidelines. This skill should be used when writing, reviewing, or refactoring Rust code to ensure optimal performance patterns. Triggers on tasks involving memory allocation, ownership, borrowing, iterators, async code, or performance optimization.
Framer Motion performance optimization guidelines. This skill should be used when writing, reviewing, or refactoring React animations with Framer Motion to ensure optimal performance patterns. Triggers on tasks involving motion components, animations, gestures, layout transitions, scroll-linked effects, and SVG animations.
Google TypeScript style guide for writing clean, consistent, type-safe code. This skill should be used when writing, reviewing, or refactoring TypeScript code. Triggers on TypeScript files, type annotations, module imports, class design, and code style decisions.
AAA-caliber engineering council for building production-quality games. Use when implementing game systems, writing game code, designing data architecture, building UI components, creating tutorials, optimizing performance, or any technical game development task. Covers game programming patterns, casino/card game implementation, reward systems, game UI engineering, tutorial design, code architecture, data infrastructure, security, and quality assurance. Triggers on requests for game code, system implementation, refactoring, performance optimization, data design, or technical architecture decisions.