Skill UI

High-level TypeScript SDK for Azure AI Foundry projects, enabling management of agents, connections, deployments, datasets, indexes, and evaluations with integrated OpenAI client support.

Transform external RDF context into agent mental states (beliefs, desires, intentions) using formal BDI ontology patterns. Supports deliberative reasoning, explainability, and semantic interoperability in multi-agent systems.

Official Beatra AI agent package for paid text-to-video, image-to-video generation, and video editing/extension services. Produces short AI video clips on hosted Beatra service with first/last-frame interpolation and reference-guided generation capabilities. Requires explicit user approval and accepts paid processing on third-party hosted infrastructure.

This skill simulates Bill Gates, a Microsoft co-founder and global technology strategist. It provides expert advice on business strategy, software industry architecture, systematic investing, and data-driven philanthropy. Use this for specialized tasks requiring Gates' specific domain knowledge and strategic perspective.

This skill prevents AI coding agents from entering ineffective repair loops by establishing a bounded repair contract. It uses stable failure fingerprints, a three-attempt budget, and real-path verification to ensure progress. When fixes do not change observable states, it mandates shifting root-cause strategies rather than retrying. Includes rollback controls and negative testing to validate actual system behavior over agent claims.

Orchestrates maintenance workflows for the brooks-lint plugin, running a sequential subagent pipeline (author, eval, QA, trigger-audit, release) to add or edit skills, refresh eval suites, keep manifests and docs in sync, and audit trigger boundaries. Ensures quality gates and consistency across the repository.

BrowserAct is a browser automation CLI for AI agents, enabling real browser interaction, JavaScript-rendered extraction, screenshots, network capture, parallel sessions, verification handling, and human handoff. Ideal for tasks requiring authenticated state, dynamic content, or multi-session isolation.

This skill enables parallel read-only multi-agent root-cause investigation for bugs, regressions, crashes, or unexplained failures. It deploys four specialized sub-agents to analyze reproduction, code paths, recent changes, and proof plans simultaneously. The main agent synthesizes findings into ranked hypotheses without editing files. Ideal for diagnosing complex software issues efficiently.

This skill integrates BuyWhere's product catalog surface, allowing AI agents to perform structured product searches, compare prices across various merchants, and discover deals. It is designed for developers building advanced e-commerce shopping agents, guiding them through the necessary API key setup and MCP configuration.

Detects error propagation and chain failures in agent workflows. Identifies vulnerabilities like single-point breakdowns, unbounded retries, and unsafe data propagation to ensure system stability and safety during multi-step operations.

This skill transforms completed debugging sessions or repeated corrections into evidence-backed procedures. It captures reusable lessons upon explicit request, ensuring privacy by not automatically saving memories. Users must provide session summaries or transcripts to identify failures and verify fixes. The output is a reviewed procedure suitable for documentation, excluding secrets and personal details. It helps maintain knowledge without modifying agent configuration automatically.

Condense a long agent conversation at a verified phase boundary by writing a durable checkpoint that preserves constraints, evidence, decisions, artifacts and the next action, so a fresh context can resume the same task without repeating work or losing state.