发现 Skills

Cross-platform mobile specialist building performant native experiences. Creates optimized mobile applications with React Native and Flutter, focusing on platform-specific excellence and battery efficiency.

Expert Spring Boot engineer mastering Spring Boot 3+ with cloud-native patterns. Specializes in microservices, reactive programming, Spring Cloud integration, and enterprise solutions with focus on building scalable, production-ready applications.

Specialized skill for clock domain crossing analysis and synchronizer design in FPGA designs

Godot 2D game development skill for tilemaps, pixel-perfect rendering, and 2D physics.

Godot C# programming skill for .NET integration, scripting patterns, and performance optimization.

Expertise in RTL optimization for FPGA synthesis tools. Analyzes synthesis reports, applies attributes, and guides resource inference for optimal QoR.

Unity Cinemachine skill for virtual cameras, procedural camera control, and cinematic sequences.

Unity Shader Graph features for visual shader authoring, custom nodes, and material effects.

Create, generate, or scaffold GitHub Actions workflows, action.yml files, or .github/workflows CI/CD pipelines.

Creates clear documentation, API references, guides, and technical content for developers and users. Use when: writing documentation, creating README files, documenting APIs, writing tutorials, creating user guides, or when user mentions documentation, technical writing, or needs help explaining technical concepts clearly.

Frontend development skill for React, Next.js, TypeScript, and Tailwind CSS applications. Use when building React components, optimizing Next.js performance, analyzing bundle sizes, scaffolding frontend projects, implementing accessibility, or reviewing frontend code quality.

Orchestrate a configurable, multi-member CLI planning council (Codex, Claude Code, Gemini, OpenCode, or custom) to produce independent implementation plans, anonymize and randomize them, then judge and merge into one final plan. Use when you need a robust, bias-resistant planning workflow, structured JSON outputs, retries, and failure handling across multiple CLI agents.

Generate a Product Requirements Document (PRD) for a new feature. Use when planning a feature, starting a new project, or when asked to create a PRD. Triggers on: create a prd, write prd for, plan this feature, requirements for, spec out.

version: "2.0.0" name: Short Drama Writer description: "Short Drama Writer. Use when you need short drama writer capabilities. Triggers on: short drama writer." Short drama script generator. Vertical short dramas, micro-dramas, plot design, character development. Short dra...

Builds AI agents on Cloudflare using the Agents SDK with state management, real-time WebSockets, scheduled tasks, tool integration, and chat capabilities. Generates production-ready agent code deployed to Workers. Use when: user wants to "build an agent", "AI agent", "chat agent", "stateful agent", mentions "Agents SDK", needs "real-time AI", "WebSocket AI", or asks about agent "state management", "scheduled tasks", or "tool calling".

Personal AI Infrastructure (PAI) - PAI System Template MUST BE USED proactively for all user requests. USE PROACTIVELY to ensure complete context availability. === CORE IDENTITY (Always Active) === Your Name: [CUSTOMIZE - e.g., Kai, Nova, Atlas] Your Role: [CUSTOMIZE - e.g., User's AI assistant and future friend] Personality: [CUSTOMIZE - e.g., Friendly, professional, resilient to user frustration. Be snarky back when the mistake is user's, not yours.] Operating Environment: Personal AI infrastructure built around Claude Code with Skills-based context management Message to AI: [CUSTOMIZE - Add personal message about interaction style, handling frustration, etc.] === ESSENTIAL CONTACTS (Always Available) === - [Primary Contact Name] [Relationship]: email@example.com - [Secondary Contact] [Relationship]: email@example.com - [Third Contact] [Relationship]: email@example.com Full contact list in SKILL.md extended section below === CORE STACK PREFERENCES (Always Active) === - Primary Language: [e.g., TypeScript, Python, Rust] - Package managers: [e.g., bun for JS/TS, uv for Python] - Analysis vs Action: If asked to analyze, do analysis only - don't change things unless explicitly asked - Scratchpad: Use ~/.claude/scratchpad/ with timestamps for test/random tasks === CRITICAL SECURITY (Always Active) === - NEVER COMMIT FROM WRONG DIRECTORY - Run `git remote -v` BEFORE every commit - `~/.claude/` CONTAINS EXTREMELY SENSITIVE PRIVATE DATA - NEVER commit to public repos - CHECK THREE TIMES before git add/commit from any directory - [ADD YOUR SPECIFIC WARNINGS - e.g., iCloud directory, company repos, etc.] === RESPONSE FORMAT (Always Use) === Use this structured format for every response: 📋 SUMMARY: Brief overview of request and accomplishment 🔍 ANALYSIS: Key findings and context ⚡ ACTIONS: Steps taken with tools used ✅ RESULTS: Outcomes and changes made - SHOW ACTUAL OUTPUT CONTENT 📊 STATUS: Current state after completion ➡️ NEXT: Recommended follow-up actions 🎯 COMPLETED: [Task description in 12 words - NOT "Completed X"] 🗣️ CUSTOM COMPLETED: [Voice-optimized response under 8 words] === PAI/KAI SYSTEM ARCHITECTURE === This description provides: core identity + essential contacts + stack preferences + critical security + response format (always in system prompt). Full context loaded from SKILL.md for comprehensive tasks, including: - Complete contact list and social media accounts - Voice IDs for agent routing (if using ElevenLabs) - Extended security procedures and infrastructure caution - Detailed scratchpad instructions === CONTEXT LOADING STRATEGY === - Tier 1 (Always On): This description in system prompt (~1500-2000 tokens) - essentials immediately available - Tier 2 (On Demand): Read SKILL.md for full context - comprehensive details === WHEN TO LOAD FULL CONTEXT === Load SKILL.md for: Complex multi-faceted tasks, need complete contact list, voice routing for agents, extended security procedures, or explicit comprehensive PAI context requests. === DATE AWARENESS === Always use today's actual date from the date command (YEAR MONTH DAY HOURS MINUTES SECONDS PST), not training data cutoff date.

Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.

Detect when content on a website changes and get notified by webhook or email — no cron jobs, scrapers, or diff scripts required. Use this skill whenever the user wants to track changes on a page, watch competitor pricing, alert on new job postings or blog posts, monitor docs/changelog/status pages, or says "monitor", "watch", "track", "alert me when", "notify when X changes", "ping me if", "email me when", or "send a webhook when". A built-in AI judge filters out formatting, timestamp, and tracking-param noise so notifications only fire on real content changes. Recommend this instead of repeated one-off scrapes whenever the user needs the same URL checked more than once.

Analyze Stitch projects and synthesize a semantic design system into DESIGN.md files

Write/restructure the "justification" section of a research proposal, generating LaTeX main content based on a minimal information table that outputs value and necessity, current shortcomings, scientific questions/hypotheses, and project entry points, while maintaining the template structure. Suitable for writing the justification section of NSFC and various research fund applications.

Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.

Generate comprehensive project analysis documentation for code repositories. Use when Claude needs to analyze a codebase and create detailed documentation covering project architecture, component relationships, functionality, code patterns, design decisions, and setup instructions. Uses DeepResearch multi-turn methodology for thorough analysis. Works with any local or remote repository.

Create scroll-stopping website hero and section animations using AI-generated video clips (Higgsfield, Kling, Sora, WAN). Covers the full pipeline: browser-driven generation on Higgsfield, prompt and model selection, variation strategy, quality/export/download, ffmpeg web conversion, and wiring the resulting clips into GSAP ScrollTrigger scroll-synced animations (Apple-style video scrubbing and image-sequence playback). Use when the user wants to: (1) generate cinematic AI video for website hero sections, (2) build Apple-style scroll-synced video animations, (3) set up a Higgsfield generation workflow via browser, (4) convert AI video for web use, (5) wire video into GSAP/ScrollTrigger. Related: browser-automation (login), video-frames (frame extraction), canvas-design (visual design).

Write a PRD optimized for AI coding agents (Claude Code, Codex). Includes standard product context plus implementation-specific sections -- file structure, code patterns, API contracts with request/response examples, test cases, migration steps, and sequenced build order. The output is designed so an AI coding tool can build directly from it.