Skill UI

Harden self-hosted OpenClaw deployments with threat modeling, host baselines, runtime controls, secret management, network segmentation, and recovery workflows.

Migrate infrastructure-as-code from Terraform to OpenTofu: state compatibility, provider registry setup, lock file regeneration, OpenTofu-only state encryption, and CI/CD pipeline updates with GitHub Actions.

Guides agents through bounded parameter optimization for configurable systems with measurable objectives: define search space, budget, and baseline, run trials one at a time, log evidence, and recommend a configuration for HPO, inference tuning, simulations, or RL/control experiments.

This skill provides a systematic pipeline for safely executing large-scale code refactors across multiple files or subsystems. It first performs parallel, dependency-aware analysis to map the entire scope, synthesizing a single, actionable plan. The process then breaks the work into independent 'work packets,' which are executed sequentially or in parallel by specialized worker agents, ensuring strict dependency management and behavior parity throughout the entire process.

Authorized OT/ICS security assessment focusing on Purdue model zoning, PLC/SCADA exposure, industrial protocol discovery, and passive-first evaluation discipline. Suitable for authorized security audits, asset identification, and protocol analysis within industrial control networks.

This skill acts as a literature-research assistant, orchestrating a Python CLI to interface with APIs like Semantic Scholar and arXiv. It enables users to search for academic papers by topic, retrieve detailed metadata, perform impact analysis using citation tracking, download PDFs, and extract text content. It streamlines the entire academic research workflow from initial discovery to deep reading.

This powerful router analyzes complex document types (scanned, medical, table-heavy, etc.) and determines the optimal conversion pipeline (tools, flags, cleanup) to extract data into various formats like Markdown, JSON, or DOCX. It goes beyond simple text extraction by prioritizing the preservation of document structure, relational data, and high fidelity, ensuring the generated output is accurate for downstream machine processing.

This guide provides comprehensive instructions for PDF processing using Python libraries like pypdf, pdfplumber, and reportlab. It covers essential operations such as merging, splitting, extracting text and tables, creating PDFs, and rotating pages. Additionally, it includes command-line tools like pdftotext and qpdf for automation. Suitable for developers needing to automate document workflows.

Expert AI-powered code review combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverages tools like GitHub Copilot, SonarQube, CodeQL, and Semgrep to identify bugs, vulnerabilities, and performance issues across 30+ languages, integrated with CI/CD pipelines for instant PR feedback.

Enforces a strict 5-phase debugging protocol (Reproduce, Isolate, Root Cause, Fix, Verify) to prevent premature code edits. Ideal for intermittent, regression, or performance bugs where disciplined root-cause analysis is required before applying fixes.

Comprehensive guidelines for writing idiomatic and efficient PHP code. Covers modern best practices including type safety, error handling, OOP patterns, and array operations to improve code quality and maintainability.

A comprehensive suite designed for AI agents to perform safe, deep, and multi-format web searches. It allows agents to retrieve current web information, analyze PDFs, extract YouTube transcripts, and access GitHub code files. Instructions include guidelines for varying search depths and using specialized tools for code context retrieval.