Survey Generation

Build and open FinViz screener URLs from natural language requests. Use when user wants to screen stocks, find stocks matching criteria, filter by fundamentals or technicals, or asks to open FinViz with specific conditions. Supports both Japanese and English input (e.g., "高配当で成長している小型株を探したい", "Find oversold large caps with high ROE").

Use when the user wants to performance-test, load-test, or stress-test a public website end-to-end with k6. Produces a hybrid (protocol + browser) test suite, SLO-backed thresholds, a load-generator monitor sidecar, and a Grafana-side investigation playbook for backends the user owns. Triggers on "perf test my site", "performance test my site", "load test this URL", "stress test my web app", "I want to load test [URL]", "set up k6 against my website", "write a k6 suite for [site]", "see if my site handles N concurrent users", or "how does my site perform under traffic". Use this skill whenever the user mentions k6, load testing, stress testing, performance testing, or wants to validate a website under traffic — even if they don't explicitly use the word "test" or ask for the specific outputs this skill produces.

Build or adapt a local browser/CDP harness to drive and inspect a web, IDE, or Electron UI. Use for local UI verification, screenshots, accessibility snapshots, perf profiles, visual diffs, or reproducing UI bugs.

Use this when the page-import pipeline needs to fetch a source webpage and prepare it for import/migration to AEM Edge Delivery Services. Covers scraping content, extracting metadata, downloading images, and returning analysis JSON with paths, metadata, cleaned HTML, and local images. Do not invoke directly — called by page-import as a pipeline step.

Build or adapt a local harness to drive, inspect, and profile an interactive CLI or TUI without external services. Use for CLI UX checks, startup regressions, memory leaks, hangs, prompt flows, or terminal demos.

Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output for automation.