Skill UI

This tool collects distributed trace spans to build a comprehensive, visual trace tree of an agent's task execution. It allows users to understand the exact flow, timing, and coordination between multiple agents involved in a task. Use it to identify performance bottlenecks, analyze the critical path, and synthesize a detailed narrative summary of complex multi-step workflows.

This tool orchestrates the end-to-end process of building a brand-new feature. It automates the entire lifecycle, including initial research, planning, Test-Driven Development (TDD) implementation, code review, and gated commit. Use this when adding a capability that does not currently exist in the system.

This tool is designed to manage the process of altering an existing, functional feature to meet a new desired specification. It ensures a structured workflow: first, update the existing test cases to reflect the new behavior; second, modify the underlying implementation to pass these updated tests; finally, complete through review and gated commit. Use this when the feature works but its behavior needs adjustment.

This tool orchestrates the complete workflow for addressing defects, ensuring a robust fix process. It guides the user through reproducing a bug as a failing regression test, applying the necessary fix until the test passes (goes green), and managing the subsequent code review and gated commit phases. Ideal for systems where existing functionality is broken, incorrect, or exhibiting regression.

This tool detects and flags Personally Identifiable Information (PII) across text, code, and configuration files. It is essential to use this before committing code, writing logs, or generating model responses to prevent accidental exposure of sensitive data. It identifies various types of PII, including emails, phone numbers, SSNs, credit card numbers, API keys, and passwords, offering quick checks, detailed scans, and full context-aware analysis.

This skill is designed for conducting comprehensive production audits. It helps users systematically check processes, identify quality gaps, and ensure compliance standards are met in a production environment. (Note: The provided content is a translation placeholder.)

This tool is designed to help optimize and refine prompts used with Large Language Models (LLMs). By structuring inputs, it ensures that the instructions given to AI systems are clear, comprehensive, and contextually rich, resulting in significantly higher quality and relevance of the generated output. Useful for developers, writers, and researchers.

This tool manages agent memory stored in the RVF (Ruflo Vector Format). It facilitates the backup, transfer, and sharing of complex agent knowledge, including vector embeddings, metadata, and causal relationships, across different projects and platforms. Users can list, export, import, migrate, and analyze memory statistics to ensure knowledge continuity.

This tool provides comprehensive safety scanning for untrusted inputs, such as user submissions, API payloads, and webhook data. It actively detects various security threats, including prompt injection, jailbreak attempts, instruction override attacks, and unsafe content. Beyond basic checks, it offers deep analysis, full multi-layer scanning, and even capabilities to train defensive models using detected threats. Essential for secure AI application development.

A comprehensive tool for managing and checkpointing agent sessions. It allows users to save the entire operational state, including memory, configuration, and task progress, across multiple conversations. Essential for long-running tasks, complex workflows, or when needing to pause and resume work seamlessly with full context preservation.

An advanced tool for network intelligence that calculates weighted graph scores to map the optimal path to a target. It identifies potential introducers, measures 'bridge value' across connections, and helps determine whether a connection requires a warm introduction or direct outreach on platforms like X and LinkedIn. Ideal for users needing the raw ranking methodology.

A comprehensive, agent-driven tool for scheduling and publishing content across multiple social media platforms. It centralizes publishing workflows for 13 major providers, including X, LinkedIn, Instagram, TikTok, and more. Users can manage multi-platform campaigns, upload media assets, validate post schedules, and monitor real-time delivery status from a single workspace.