io.github.moeru-ai/airi/use-agent-browser-for-airi

Test AIRI display-model imports with agent-browser across stage-tamagotchi Electron, stage-web, and stage-pocket mobile web layouts. Use when uploading and verifying contributor-supplied Live2D ZIP, VRM, or MMD ZIP/PMX/PMD files through AIRI's model selector, including onboarding bypass, format-specific import behavior, renderer verification, and mobile-platform coverage decisions.

io.github.moeru-ai/airi/use-agent-browser-with-input-file

Upload local files through ordinary, hidden, dynamically created, detached, multiple, or native-backed file inputs with agent-browser in web and Electron applications. Use when testing file selection, drag-or-choose flows, framework file-dialog composables, or post-upload application behavior.

io.github.JetBrains/kotlin/minimize-repro-for-diagnostic-test

Makes a minimal reproduction of a Frontend-related bug as a diagnostic test

io.github.PostHog/posthog/migrating-llm-gateway-callers

Migrates an LLM caller from services/llm-gateway to PostHog/ai-gateway. Use when adding a gateway caller, converting an existing Python gateway integration, adopting shared Go-capable client builders, changing gateway URLs or headers for a caller, or removing a Python fallback. Inventories the caller's contract, checks the parity record, implements the supported migration, updates tests, and stops with a documented blocker when Go parity is missing.

io.github.PostHog/posthog/finding-llm-gateway-migration-candidates

Finds and ranks callers that could move from services/llm-gateway to PostHog/ai-gateway. Use when asked what to migrate next, to find low-risk gateway migration candidates, to audit remaining Python gateway callers, or to identify callers blocked by Go gateway parity. Searches code and deployment wiring, inventories each caller's required contract, filters out unsupported migrations, and returns an evidence-backed shortlist without changing callers.

io.github.tldraw/tldraw/tldraw-migrate

Migrate a project to a newer version of the tldraw SDK. Use when upgrading tldraw packages, fixing TypeScript errors after a tldraw upgrade, or when the user mentions tldraw migration.

io.github.anomalyco/opencode/rtl-aware-development

OpenCode Desktop should be RTL-aware. Use when implementing or reviewing RTL/LTR behavior in the web app, desktop app, CSS, menus, scrolling, resizing, icons, mixed-direction text, or Electron title bars.

io.github.TryGhost/Ghost/shade-no-dark-variants

Don't write dark: Tailwind variants for colour in Shade or admin apps — semantic tokens flip in dark mode automatically. Trigger when editing TSX in Shade-consuming apps.

io.github.google/skills/data-manager-api-audience-ingestion

Guides developers through managing (adding, removing, and clearing) audience members for Google products using the Data Manager API and its associated client libraries. Use this skill when the user wants to upload audience members, remove specific users, or clear/replace an entire audience for Customer Match, mobile device ID audiences, or any other audience use case supported by the Data Manager API. Don't use for uploading events or conversions (use the data-manager-api-event-ingestion skill).

io.github.moeru-ai/airi/use-vishot-with-capacitor

Capture deterministic Capacitor application screens with Vishot. Use when the selected Vishot target is a Capacitor app and Codex must capture its locally served WebView at mobile dimensions or distinguish WebView evidence from native-shell evidence.

io.github.moeru-ai/airi/enforce-rules-for-unocss

Enforce AIRI's UnoCSS, Vue styling, shared UI component, animation, icon, and color-mode practices. Use when creating, editing, refactoring, or reviewing Vue templates, component styles, utility classes, UnoCSS configuration, animations, icons, UI primitives, packages/ui components, or VueUse dark-mode behavior in the AIRI monorepo.

io.github.moeru-ai/airi/tsdown

Bundle TypeScript and JavaScript libraries with blazing-fast speed powered by Rolldown. Use when building libraries, generating type declarations, bundling for multiple formats, or migrating from tsup.

io.github.CherryHQ/cherry-studio/claude-automation-recommender

Analyze a codebase and recommend Claude Code automations (hooks, subagents, skills, plugins, MCP servers). Use when user asks for automation recommendations, wants to optimize their Claude Code setup, mentions improving Claude Code workflows, asks how to first set up Claude Code for a project, or wants to know what Claude Code features they should use.

io.github.luongnv89/claude-howto/refactor

基于 Martin Fowler 方法论的系统化代码重构 skill。适用于用户请求重构代码、改进代码结构、减少技术债、清理旧代码、消除 code smell 或提升可维护性时。这个 skill 采用分阶段、带研究与计划的安全增量实施方式。

io.github.luongnv89/claude-howto/refactor

Систематичний рефакторинг коду на основі методології Мартіна Фаулера. Використовуйте, коли користувачі просять рефакторити код, покращити структуру коду, зменшити технічний борг, очистити застарілий код, усунути запахи коду (code smells) або покращити супровідність коду. Ця навичка проводить через поетапний підхід з дослідженням, плануванням та безпечною інкрементальною реалізацією.

io.github.luongnv89/claude-howto/refactor

Systematic code refactoring based on Martin Fowler's methodology. Use when users ask to refactor code, improve code structure, reduce technical debt, clean up legacy code, eliminate code smells, or improve code maintainability. This skill guides through a phased approach with research, planning, and safe incremental implementation.

io.github.luongnv89/claude-howto/refactor

Refactor code có hệ thống dựa trên phương pháp luận của Martin Fowler. Sử dụng khi người dùng yêu cầu refactor code, cải thiện cấu trúc code, giảm nợ kỹ thuật, dọn code legacy, loại bỏ code smells, hoặc cải thiện khả năng duy trì code. Skill này hướng dẫn qua cách tiếp theo từng giai đoạn với nghiên cứu, lập kế hoạch, và triển khai tăng dần an toàn.

io.github.home-assistant/core/bump-dependency

Bumps a Python package dependency across Home Assistant Core integrations, regenerates core requirement files, runs verification tests and prek lint, and prepares a pull request with proper release/compare links.

io.github.davila7/claude-code-templates/computer-use-agents

Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives. Critical focus on sandboxing, security, and handling the unique challenges of vision-based control. Use when: computer use, desktop automation agent, screen control AI, vision-based agent, GUI automation.

io.github.openclaw/openclaw/imsg

Use the imsg CLI from OpenClaw agents for iMessage/SMS DMs, groups, replies, reactions, polls, watching, and private-API actions.

io.github.PostHog/posthog/adding-personhog-rpc

Guide for adding a new RPC to personhog-replica and personhog-router. Covers eligibility checks, proto definition, code generation for Python and Node.js clients, Rust implementation (storage trait, postgres queries, service handler, router wiring), and index compatibility validation. Use when adding a new gRPC endpoint to personhog, migrating a Django ORM query to personhog, or extending the personhog service API.

io.github.PostHog/posthog/writing-evals

Teaches how to write and run evals on the `products/posthog_ai/eval_harness/` harness — sandboxed agent suites that execute the real coding agent in a Docker or Modal sandbox against a seeded Hedgebox project, and one-shot suites that score a single in-process model invocation per case. Use when adding or changing eval suites, cases, scorers, seeders, or synthesizers under `products/posthog_ai/evals/` or `products/*/evals/`, when touching the harness under `products/posthog_ai/eval_harness/`, or when running or debugging those evals (`hogli evals`). Covers suite kinds and discovery, case anatomy, the seeder/synthesizer split, the one-branch scorer patterns, and how to read results. Not for `ee/hogai/eval/ci/` pytest evals, and not for the LLM Analytics product's evaluation features.

io.github.prisma/orm/no-bare-casts

Writing `as` in TypeScript or TSX production code, modifying a file that contains a bare `as` cast, silencing a type error with a cast, encountering `as unknown as`, or reviewing a cast site.

io.github.alirezarezvani/claude-skills/senior-ml-engineer

ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization. Use when the user asks about deploying ML models to production, setting up MLOps infrastructure (MLflow, Kubeflow, Kubernetes, Docker), monitoring model performance or drift, building RAG pipelines, or integrating LLM APIs with retry logic and cost controls. Focused on production and operational concerns rather than model research or initial training.