Skill UI

Provides guidance to configure TwinMind across development, staging, and production environments, covering env-specific API keys, config structure, client factory, validation scripts, promotion workflow, and feature flags for rate limits, hooks, and features.

Enables coordinated multi-file editing workflows in the Windsurf IDE via Cascade AI, ensuring atomic cross-file refactors, symbol renames, and batch modifications are previewed, validated, and applied consistently.

Coordinates large-scale codebase refactors via Cascade, enforcing planning, checkpoints, rollback, and verification across massive Windsurf projects.

Workflow for parsing SillyTavern-compatible character cards and world info from PNG/WebP/JSON files using a dedicated Node.js parser, with clear steps for copying presets, installing deps, running the extractor, and verifying results.

Python library for accessing SEC EDGAR filings, extracting XBRL statements, insider trading, and institutional holdings data to power financial analysis, screening, or structured data workflows across 10-K/10-Q/8-K/DEF-14A filings.

A comprehensive guide for developing, configuring, and deploying Apify Actors. Learn how to create serverless, isolated programs for web scraping, data processing, and automation workflows. Covers prerequisites, setup procedures (CLI authentication), development lifecycle, output schema configuration, and critical security best practices for handling untrusted web data.

Apify Actorization is a process that transforms existing, standalone software or scripts (like CLI tools) into standardized, reusable serverless applications called Actors. Actors are packaged as Docker images, accepting structured JSON inputs and producing structured JSON outputs. This skill guides developers on migrating projects to the Apify platform, ensuring compatibility, and enabling scalable, event-driven data processing pipelines.

AI-powered entry point that selects from 55+ Apify Actors to extract data across Instagram, Facebook, TikTok, YouTube, Google Maps, and more, streamlining setup, execution, and summary for broad scraping goals.

Analyzes a repository to surface architecture, configs, and tasks so engineers, leads, and contractors receive consistent onboarding documentation and setup guidance.

Detailed guidance for a strict test-driven development cycle: write a failing test first, confirm the failure, add minimal code to pass, refactor cleanly, and repeat so every feature, fix, or refactor ships with confidence.

Assess Bitcoin Lightning Network protocol designs, compare channel factory approaches, and analyze Layer 2 scaling tradeoffs by reviewing trust models, on-chain footprint, consensus requirements, HTLC/PTLC compatibility, liveness, and watchtower breach detection for architecture reviewers.

Technical reference for implementing Lightning Network channel factories, multi-party channels, and LSP architectures, covering MuSig2 aggregation, timeout trees, HTLC/PTLC forwarding, and watchtower breach detection to scale Bitcoin Layer 2 without soft forks.