Skill UI

This module provides core abstractions for handling long-running, asynchronous background tasks within an API context. It introduces `TaskDefinition` to define the complete lifecycle and hooks for a background task, and `TaskService` to programmatically trigger and manage these operations. It is essential for backend development requiring robust, non-instantaneous processing.

This utility displays the precise, real-time token usage and estimated cost savings for the current session. It reads directly from the internal session log, ensuring objective and accurate data without requiring AI computation. Triggered by /caveman-stats, it provides immediate performance metrics to monitor API costs and usage patterns.

This skill details advanced techniques for exploiting formula injection vulnerabilities within CSV, Excel, LibreOffice, and Google Sheets environments. It covers DDE, obfuscation methods, and high-risk functions like IMPORT* that can be triggered when user-controlled data is exported or imported into spreadsheet software. Use this for penetration testing of data pipelines and export features.

This comprehensive guide provides expert strategies for optimizing popups, modals, and overlays to maximize conversions. It covers best practices for various triggers—including exit intent, scroll depth, and click actions—and details the copy, design, and psychological principles needed to capture leads and drive sales without negatively impacting the user experience.

Provides expert guidance on building, optimizing, and analyzing growth-driving programs. This skill covers the fundamental differences between customer referral schemes and paid affiliate models. Learn to identify key trigger moments, structure compelling incentive mechanisms (single/double-sided), and calculate optimal reward sizes to maximize viral loops and scale customer acquisition for sustained business growth.

This guide provides expert strategies for optimizing popups, modals, overlays, and banners to maximize conversion rates without irritating users. It covers various trigger methods like exit intent, scroll depth, and click actions, along with best practices for design, copy, and targeting specific goals such as lead capture or promoting discounts.

This guide serves as an expert resource for designing, optimizing, and measuring viral growth programs, including customer referral and affiliate schemes. It covers everything from identifying ideal trigger moments and selecting the best incentive structure (single-sided vs. double-sided) to setting up comprehensive launch checklists and tracking key metrics like LTV and CAC. Use this to turn existing customers into powerful growth engines.

This skill orchestrates the process of converting a detailed, multi-turn conversation, complex workflow, or troubleshooting path into a standardized, reusable SKILL.md format. It guides the user through proposing a structured plan, ensuring all necessary steps, triggers, and inputs are captured before materializing the final, callable skill for future use.

A dedicated skill for performing manual data synchronization and knowledge recall with OpenViking. It allows users to explicitly trigger chat transcript syncing from OpenClaw sessions and perform targeted memory searches via command line, without disrupting normal conversation flow or occupying the standard context engine slot.

This skill provides a comprehensive audit of GitHub Actions workflows. It inspects CI configurations to identify bottlenecks, waste sources, and areas for optimization, helping users reduce runtime, lower costs, and boost overall CI/CD efficiency. It covers caching, concurrency, and trigger reduction.

Master the design, debugging, and hardening of production-grade GitHub Actions CI/CD pipelines. This skill covers advanced topics including reusable workflows, matrix builds, self-hosted runners, OIDC authentication, secrets management, environment protection, and complex trigger patterns (e.g., workflow_call, schedule, release). Use this to automate complex build, test, and deployment processes.

This tool audits the activation metadata of coding skills used by AI agents. It grades skills (A-F) based on description clarity, simulates which skill a prompt will trigger, and identifies metadata collisions where one skill might silently overshadow another. It is essential for ensuring robust, predictable, and reliable AI agent behavior during development and CI processes.