Skill UI

This skill provides idiomatic guidelines for Bash scripting, covering quoting, conditionals, loops, pipes, functions, and error handling. It helps avoid common anti-patterns like unquoted variables, parsing ls output, and improper error handling to ensure safe and efficient shell code.

Master essential practices for writing robust, secure, and portable Bash scripts suitable for production environments, CI/CD pipelines, and critical system automation. This guide covers strict error handling, safe argument parsing, input validation, process orchestration, and cross-platform compatibility, ensuring scripts are resilient to unexpected inputs and failures.

Runs GitHub Copilot CLI programmatically for repository analysis and coding tasks, with non-interactive prompts, JSONL output parsing, and secure tool permissions.

Extract structured fields from documents like invoices, payslips, and contracts with page grounding. Each value cites its source page and confidence score. Missing values are reported as not found instead of hallucinated. Supports PDF, PNG, and DOCX files. Ideal for accounting, compliance, and data parsing tasks where accuracy is critical. Uses Stipple API for processing.

This skill enables deep web scraping, screenshots, and PDF parsing using the Firecrawl API. It extracts content from web pages, handles page interactions like clicking and scrolling, and processes multiple URLs in batch. Ideal for automated data collection tasks requiring robust extraction capabilities.

`jq` is the standard and powerful CLI tool for querying, filtering, and reshaping JSON data. This skill provides expert-level practical patterns for working with deeply nested structures, handling complex transformations (like flattening, renaming, and grouping), and integrating JSON logic into shell pipelines. Essential for parsing API outputs (AWS, GitHub), log files, and building robust Bash scripts.

This skill provides methods for reliably extracting typed, validated, and structured data from Large Language Models (LLMs), moving beyond simple text parsing. It covers best practices across major APIs (OpenAI's response_format, Anthropic's tool_use, Google's responseSchema) and local models. Key workflows include defining schemas (Pydantic/Zod), implementing constrained decoding, and building robust retry loops for production-grade data pipelines.

Integrate the beta Markstream React renderer into React 18+ or Next.js projects. It handles client/server entrypoints, CSS, streaming state, and component overrides securely. Configure for live chat or streaming answers with proper SSR boundaries. Supports markdown parsing with safe HTML policies and Mermaid diagrams. Requires React 18+ and careful dependency management.

This skill provides a guide for implementing Electronic Data Interchange (EDI) with Odoo ERP. It covers mapping X12 and EDIFACT transactions to Odoo objects, configuring trading partners, and automating order processing. Includes Python code examples for parsing EDI files and generating acknowledgments.

This skill covers principles for identifying tasks suited to LLM processing, designing effective project architectures, and iterating rapidly using agent-assisted development. It applies to batch pipelines, multi-agent systems, and interactive applications. Key concepts include task-model fit recognition, manual prototyping, pipeline architecture, file system state management, and structured output design for reliable parsing.

This skill diagnoses latency and throughput in weather data workflows by measuring stages like discovery, transfer, parsing, and rendering separately. It identifies bottlenecks before code changes, supporting profiling and validation of performance fixes. It ensures accurate optimization by isolating slow steps in the pipeline.