Browse Skills

Pre-landing PR review. Analyzes diff against the base branch for SQL safety, LLM trust boundary violations, conditional side effects, and other structural issues. Use when asked to "review this PR", "code review", "pre-landing review", or "check my diff". Proactively suggest when the user is about to merge or land code changes. (gstack)

Expert guidance for Go (Golang) development following industry best practices. Use when writing Go code, reviewing PRs, bootstrapping new services, configuring linters, implementing observability, or troubleshooting Go applications. Covers SOLID principles, Gang of Four design patterns, domain-driven structure, error handling, context patterns, concurrency, testing, structured logging, health endpoints, and CI gates.

Configures Python projects with modern tooling (uv, ruff, ty). Use when creating projects, writing standalone scripts, or migrating from pip/Poetry/mypy/black.

Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring network traffic, web scraping, form automation, and JavaScript debugging.

Browser automation CLI (browser-act) for AI agents. MUST trigger when: (1) user mentions 'browser-act' in any form, or user needs to: (2) open/visit/browse/check a URL or webpage, (3) scrape/extract/crawl/monitor web content, (4) fill forms, click buttons, type text, scroll, or interact with page elements, (5) take a screenshot of a webpage, (6) handle or solve a captcha, (7) use a stealth/anti-detection browser or proxy, (8) connect to or control Chrome, (9) inspect network requests or record HAR, (10) automate any browser or web interaction task. Covers: navigation, page state inspection, element interaction, data extraction, JavaScript evaluation, tab management, network inspection, dialog handling, captcha solving, parallel browser sessions, stealth browsing, and any browser automation tasks.

面向中文科研论文的AI写作助手。支持头脑风暴、章节写作、文献综述、Python图表、LaTeX输出。

繰り返し作業の自動化スクリプト生成スキル。Shell、Python、PowerShell、Node.jsスクリプトを生成。ファイル操作、データ処理、API連携、CI/CD、バックアップ、監視、レポート生成を自動化。

Write Tampermonkey userscripts for browser automation, page modification, and web enhancement. Use when creating browser scripts, writing greasemonkey scripts, automating user interactions, injecting CSS or JavaScript into web pages, modifying website behaviour, building browser extensions, hiding unwanted page elements, adding form auto-fill, scraping website data, intercepting requests, detecting URL changes in SPAs, or storing persistent user preferences. Covers userscript headers (@match, @grant, @require), synchronous and async GM_* API functions, common patterns (DOM mutation, URL change detection, element waiting), security sandboxing, and cross-browser compatibility (Chrome, Firefox, Edge).

Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).

Build, test, inspect, install, and deploy MCP servers with FastMCP in Python. Use when creating a new MCP server, wrapping an API or database as MCP tools, exposing resources or prompts, or preparing a FastMCP server for Claude Code, Cursor, or HTTP deployment.

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.

Query multiple threat intelligence services for IOC enrichment including IP reputation, domain analysis, URL scanning, hash lookups, and malware detection. Use when investigating observables (IP, domain, URL, hash) to gather context from external sources like VirusTotal, GreyNoise, Shodan, AbuseIPDB, AlienVault OTX, and more. Supports both API-key services and free services.

Real-time communication patterns for live updates, collaboration, and presence. Use when building chat applications, collaborative tools, live dashboards, or streaming interfaces (LLM responses, metrics). Covers SSE (server-sent events for one-way streams), WebSocket (bidirectional communication), WebRTC (peer-to-peer video/audio), CRDTs (Yjs, Automerge for conflict-free collaboration), presence patterns, offline sync, and scaling strategies. Supports Python, Rust, Go, and TypeScript.

Azure Cosmos DB JavaScript/TypeScript SDK (@azure/cosmos) for data plane operations. Use for CRUD operations on documents, queries, bulk operations, and container management. Triggers: "Cosmos DB", "@azure/cosmos", "CosmosClient", "document CRUD", "NoSQL queries", "bulk operations", "partition key", "container.items".

Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Use for agent CRUD, conversation threads, streaming responses, function calling, file search, and code interpreter. Triggers: "PersistentAgentsClient", "persistent agents", "agent threads", "agent runs", "streaming agents", "function calling agents .NET".

Public-records OSINT investigation framework — SEC EDGAR filings, USAspending contracts, Senate lobbying, OFAC sanctions, ICIJ offshore leaks, NYC property records (ACRIS), OpenCorporates registries, CourtListener court records, Wayback Machine archives, Wikipedia + Wikidata, GDELT news monitoring. Entity resolution across sources, cross-link analysis, timing correlation, evidence chains. Python stdlib only.

GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.

Use when building Vue 3 applications with Composition API, Nuxt 3, or Quasar. Invoke for Pinia, TypeScript, PWA, Capacitor mobile apps, Vite configuration.

Instrument applications with Azure Monitor and OpenTelemetry for JavaScript (@azure/monitor-opentelemetry). Use when adding distributed tracing, metrics, and logs to Node.js applications with Application Insights.

Use when building Go backend services, implementing goroutines/channels, handling errors idiomatically, writing tests with testify, or following Go best practices for APIs/CLI tools.