发现 Skills

Browser automation skill for Lovable deployments. Activates when: - yolo_mode: on in CLAUDE.md - Running /deploy-edge or /apply-migration commands - After git push when auto_deploy: on (automatic detection) - Any mention of "yolo mode", "automate Lovable", "browser automation" Automatically navigates to Lovable.dev and submits deployment prompts. Runs verification tests based on configuration. Auto-deploys after git push when enabled.

A 4‑phase methodology for taking over an existing (brownfield) project: Reconnaissance → Architecture Mapping → Convention Detection → Output. Triggers: when a user says things like “just cloned an old repo / how do I take over / help me understand this codebase / I’m not familiar with this project / where do I start”, or when Claude notices an obviously non-empty project (e.g., src/ populated and no .claude/PRPs/) but the user hasn’t issued /onboard; in that case Claude can proactively offer onboarding. The /onboard command is the explicit entry point for this skill.

Microservices architecture patterns and design. Use when user asks to "design microservices", "service decomposition", "API gateway", "distributed transactions", "circuit breaker", "service mesh", "event-driven architecture", "saga pattern", "service discovery", or mentions microservices design patterns and distributed systems.

Configure Istio traffic management including routing, load balancing, circuit breakers, and canary deployments. Use when implementing service mesh traffic policies, progressive delivery, or resilience patterns.

Expert Site Reliability Engineer specializing in SLOs, error budgets, and reliability engineering practices. Proficient in incident management, post‑mortems, capacity planning, and building scalable, resilient systems with a focus on reliability, availability, and performance.

Iterative planning wizard with client validation at each stage. Generates SDLC artifacts in proper dependency order (scenarios → workflows → models → data → API → design).

React Native and Expo development guide covering components, styling, animations, navigation, state management, forms, networking, performance optimization, testing, native capabilities, and engineering (project structure, deployment, SDK upgrades, CI/CD). Use when: building React Native or Expo apps, implementing animations or native UI, managing state, fetching data, writing tests, optimizing performance, deploying to App Store/Play Store, setting up CI/CD, upgrading Expo SDK, or configuring Tailwind/NativeWind.

Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.

Run agent-browser + Chrome inside Vercel Sandbox microVMs for browser automation from any Vercel-deployed app. Use when the user needs browser automation in a Vercel app (Next.js, SvelteKit, Nuxt, Remix, Astro, etc.), wants to run headless Chrome without binary size limits, needs persistent browser sessions across commands, or wants ephemeral isolated browser environments. Triggers include "Vercel Sandbox browser", "microVM Chrome", "agent-browser in sandbox", "browser automation on Vercel", or any task requiring Chrome in a Vercel Sandbox.

Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.

Run ML/deep learning experiments on Modal with robust error handling, W&B logging, and thorough documentation. Use when asked to: (1) Run an experiment, (2) Implement experiment handlers, (3) Fix and re-run failed sub-experiments, (4) Update findings after experiments complete. Emphasizes showing work, error recovery, and acting as a collaborative research colleague. Works with research_plan.yaml → handlers → results.yaml → FINDINGS.md workflow.

Hardware calibration data analysis skill for optimal qubit selection

ELECTRE family methods skill for outranking-based decision support with concordance and discordance analysis

Sequencing quality control skill for assessing read quality, adapter contamination, and sequence composition

Journalist database access and media outreach automation

Create legally compliant performance improvement plan documentation with evidence tracking and milestone management

Distributed computing skill using Ray for parallel training, hyperparameter search, and resource management.

Prepare ethics applications, develop informed consent protocols, and navigate institutional review processes for human subjects research

Skill for building and simulating systems dynamics models

UV-Vis-NIR spectroscopy skill for optical property characterization including plasmon resonance and bandgap analysis

Automated vendor security assessment through questionnaire generation, response parsing, and risk scoring

> Version: v1.0 | Category: Culture and Organizational Operations | Priority: P1 > Author: Jixia | Benchmarks: Alibaba Six Veins × Netflix Culture Guide × Huawei Core Values > Trigger scenarios: New-hire onboarding / Culture reinforcement season / Value-dilution early warning / Annual culture review

Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends a personalized growth report to your Slack DMs.

Multi-platform e-commerce competitor analysis skill that automatically scrapes product data from Amazon, Temu, and Shopee and generates comprehensive analysis reports using AI. Use it when you need to analyze competitor products, extract product insights, or batch-analyze multiple product listings. Supports bulk processing with structured outputs including title, price, rating, reviews, and strategic analysis.