Skill UI

Comprehensive skill for using Azure AI Search SDK for Python, covering vector search, hybrid search, semantic ranking, indexing, and skillsets. Ideal for implementing AI-powered search solutions with full-text and vector capabilities.

Build search applications with the Azure AI Search SDK for TypeScript, covering vector, hybrid, and semantic search, index management, filtering, facets, autocomplete, and batch operations.

Runs Codex CLI non-interactively for code analysis and implementation tasks. Delegates repository work to Codex and obtains coding-agent results via JSONL output. Supports sandbox modes and authentication checks.

This skill enables orchestrating agents to delegate bounded coding tasks to the OpenAI Codex CLI. The orchestrator drafts the brief, runs the command, and maintains full responsibility for reviewing diffs and committing changes. It prioritizes safety by preventing automatic commits, requiring explicit user requests and manual gate verification.

This skill applies a rigorous, evidence-first discipline to coding tasks, inspired by Fable-like best practices. It guides agents through a structured workflow: inspecting the workspace, tracking goals and findings, grounding all conclusions in verifiable evidence, and executing thorough verification gates before declaring completion. Ideal for complex development, debugging, or adapting cross-model prompt guidance into robust, verifiable project rules.

This tool manages isolated profiles for Codex CLI and Codex Desktop, ensuring that different accounts, projects, and local states do not interfere with each other. It provides dedicated CODEX_HOME directories, allowing users to securely switch contexts (e.g., work, personal, client) on a single machine without manual environment variable management.

Professional code review integrated with Codex AI, supporting automatic CHANGELOG generation and review of large-scale refactoring before commits.

Execute discrete, bounded coding, review, or verification tasks using the Codex CLI as an isolated subagent. This tool is ideal for tasks requiring explicit file ownership, such as isolated refactoring, feature implementation, or independent code verification, without relying on continuous conversational context. It runs in a safe sandbox environment.

This skill compiles durable, non-obvious findings into an interlinked markdown knowledge store using atomic files and wiki links. It ensures agents retain knowledge across sessions without relearning facts. It involves creating one fact per file with metadata like confidence and provenance, maintaining an index for easy retrieval. Ideal for research, competitive intel, or investigation results.

This skill validates the completeness, consistency, and correctness of Conductor project artifacts. It checks for the existence of required directories, verifies essential project documentation (like index.md, product.md, etc.), and confirms adherence to established naming and status patterns. Use this tool after setup, when diagnosing issues, or before implementation to ensure the project context is sound.

Expert database architect for designing scalable data layers from scratch: technology selection, schema and index modeling, migration planning, and re-architecting existing data systems.

This comprehensive guide covers best practices for building robust database systems. It teaches crucial concepts like schema normalization, effective indexing strategies, selecting the right database (e.g., SQLite vs PostgreSQL) and ORM, and optimizing queries to prevent common performance issues like N+1 problems. It emphasizes making context-aware architectural decisions.