Skills（SKILL.md）は、AIエージェント（Claude Code、Cursor、Codexなど）に特定の能力を追加するための設定ファイルです。
詳しく見る →Get GitHub issue details, body text, and optional comments. Use when users want to read issue content, inspect discussion context, or fetch issue data before another change. Accept issue identifiers as a number, `#number`, or issue URL, and expand Gist-backed attachments only when that extra content is useful.
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Provides React Native performance optimization guidelines for FPS, TTI, bundle size, memory leaks, re-renders, and animations. Applies to tasks involving Hermes optimization, JS thread blocking, bridge overhead, FlashList, native modules, or debugging jank and frame drops.
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Converts static HTML mockups (especially multi-section pages under docs/inputhtmls) into Next.js App Router pages or React section components for this portfolio. Maps Tailwind-style tokens from the mock (primary, background-light/dark, surface, glass-card, animations) to project CSS variables and existing utilities in src/app/globals.css. Use when the user references docs/inputhtmls/*.html, asks to port a section or full page from HTML, or to sync a Storybook-style HTML export with the live site.
Compress long threads into a reusable handoff summary so new chats can continue with minimal context and lower token usage.
Translates discovery and product design artifacts into implementation-ready backend specifications. Produces API contracts (OpenAPI), schema design, auth model, and integration point specs for human r
High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops with built-in best practices.
Provides guidance for enterprise-grade RL training using miles, a production-ready fork of slime. Use when training large MoE models with FP8/INT4, needing train-inference alignment, or requiring speculative RL for maximum throughput.
Enforces API documentation using language-standard comments for public interfaces and generates Conventional Commits style messages when asked, clearly summarizing changes. Use when creating or modifying public classes/functions or when the user requests commit messages.
Создать подсистему 1С — XML-исходники из JSON-определения. Используй когда пользователь просит добавить подсистему (раздел) в конфигурацию
Gate 2 이후 프론트·백엔드 병렬 구현, 통합, 검증, 문서화까지 진행한다.
Perform cross-artifact consistency and quality analysis. Automatically
Gather phase context through adaptive questioning before planning. Use --auto to skip interactive questions (Claude picks recommended defaults). Use --chain for interactive disc...
Drives iterative development of the Pet Central trusted marketplace. Use when building features, improving UI/UX, implementing backend modules, testing, or completing any work described in docs/spec.md. Applies to all apps (web-consumer, web-vendor, web-admin, web-partner, web-kiosk), packages (ui, database, auth, etc.), and the api-gateway. Includes complete testing and validation with correction loops until the system is fully functional.
Creates React components following RYLA patterns and file organization. Use when creating components, building UI, implementing features, or when the user mentions components, UI, or React.
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Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.
Build a new design system or add components from specifications
Guidance for facet `effect/unstable/rpc/RpcServer` focused on APIs like make, layer, and layerHttp. Load after `effect-skill-router` when this facet is the primary owner.
Follow the instructions in ./workflow.md.
Enforces organization and school isolation for the Nazim multi-tenant SaaS. Use when adding tables, hooks, API calls, controllers, or storage paths. Covers organization_id, school_id, query keys, getCurrentSchoolId(), and RLS.
Blurs sensitive text (names, addresses, prices, emails, PII) in screenshot images with individual translucent blurs per text element. Use when the user asks to blur, redact, or hide sensitive data in a screenshot, or when adding screenshots that contain PII to documentation.
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Build a single skill from accepted CDRs based on user input
Design and implement Concept Encoder PyTorch modules safely. Use when sketching tensor shapes, writing or refactoring nn.Module code, checking memory or DDP behavior, choosing AMP or torch.compile patterns, or improving training-time performance and numerical stability. Not for experiment logging, changelog updates, or high-level research prioritization.
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Onboards agents to the RescueKit CLI/SDK with setup, env configuration, safety constraints, and core commands. Use when getting started, configuring Bun/Alchemy/RPCs, or planning scans, triage, or rescue flows.
需求分析与结构化专家。从多种来源（飞书 PRD 文档、手动输入、文件）分析业务需求，进行结构化分析（业务场景、功能点、交互流程、数据模型、技术实现），并生成可执行的 todolist。适用于：需要将业务需求转化为结构化分析文档的场景、需要生成开发 todolist 的场景、需要从 PRD 文档提取和分析需求的场景。
Use when working on Next.js App Router route handlers, caching, search params, or navigation/redirect patterns.
Keep Russian trigger equivalents present in frontmatter `description` for:
Use when understanding how the system is structured, how agents/tools/middleware compose, or when making architectural decisions. Covers Mastra engine, agent composition, DI container, tool factories, middleware pipeline, and feature folder patterns.
Use this skill when building, debugging, or optimizing Jazz applications. It covers Jazz's bindings with various different UI frameworks, as well as how to use Jazz without a framework. Look here for details on providers and context, hooks and reactive data fetching, authentication, and specialized UI components for media and inspection.
Update ryOS documentation by analyzing the codebase and syncing docs with current implementation. Use when updating docs, syncing documentation, or when docs are outdated.
生成、改写并校验 FOFA 查询语句。用于用户提到 FOFA、资产测绘、语法速查、查询语句编写、语句纠错、条件组合优化时。
Goal: build a skill that finds real vulnerabilities while minimizing false positives.
Verify an E2E test fix by running the test multiple times and checking code quality
Format C++ code using clang-format
Operate Uni-Lab host node via REST API — create resources, test latency, test resource tree, manual confirm. Use when the user mentions host_node, creating resources, resource management, testing latency, or any host node operation.
Vitest fast unit testing framework powered by Vite with Jest-compatible API. Use when writing tests, mocking, configuring coverage, or working with test filtering and fixtures.
Run CADT integration tests, live API tests, and test data cleanup. Use when the user asks to run integration tests, run v1 or v2 tests, run live API tests, or delete test data.
当需要理解或扩展基础设施层（加载器、基类、路径、错误处理）等底层开发时使用。
Helps coding agents integrate and work with the Tiptap rich text editor. Use when building or modifying a rich text editor with Tiptap, installing Tiptap extensions, or implementing features like collaboration, comments, AI, or document conversion.
Process all unaddressed PR review comments in parallel. Each comment gets a dedicated subagent that either applies the fix or replies with technical reasoning for disagreement.
`_internal/release_notes/RELEASE_NOTES_<version>.md` (e.g. `RELEASE_NOTES_2.2.0.md`).
Use the `wtx` PowerShell CLI to create, navigate, and manage git worktrees for parallel development in this monorepo.
Guides writing clear, well-structured technical documentation following Mintlify's best practices (Diátaxis framework, audience awareness, style/tone, navigation, SEO/AEO). Use when writing, reviewing, or improving documentation, guides, tutorials, API references, or any user-facing technical content.
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Profile app performance while browsing, collecting Web Vitals and React rerender data via react-scan. Orchestrates parallel profiler subagents via playwright-cli to capture navigation timing, long tasks, layout shifts, LCP, React commit counts, render bursts, and per-component render data. Use when profiling browsing performance, finding bottlenecks, diagnosing excessive rerenders, or auditing page performance.