Skill UI

This skill provides a comprehensive, structured workflow for diagnosing performance bottlenecks in SwiftUI applications. It guides users through a code-first review to detect common issues like invalidation storms, layout thrash, or heavy main-thread work. When code review is insufficient, it provides detailed guidance on collecting runtime evidence using Instruments, enabling precise root cause analysis and targeted remediation strategies.

A comprehensive guide for preparing SaaS and cloud infrastructure companies for SOC 2 Type I and Type II audits. Covers mapping Trust Service Criteria (TSC), generating control matrices, performing thorough gap analysis, collecting evidence, and assessing overall compliance readiness across Security, Availability, Confidentiality, and Privacy domains. Essential for demonstrating operational trustworthiness to enterprise clients.

This skill automates the entire SOC 2 Type II audit lifecycle. It facilitates gap assessment against AICPA Trust Services Criteria (CC1-CC9) and collects continuous evidence from major cloud providers (AWS, Azure, GCP) and identity systems (Okta, Jira). It supports validating control effectiveness, remediation tracking, and overall compliance monitoring for Security, Availability, Processing Integrity, Confidentiality, and Privacy.

This skill guides the process of evaluating research results against intended scientific claims. After running experiments, it systematically collects data from various sources (W&B, logs, etc.), performs a deterministic evidence pre-check to detect hallucinated evidence, and finally uses a Codex judgment to determine if the results support the claims, requiring next actions like pivoting or supplementing the findings.

This skill acts as a Consumer Psychologist and Persuasion Scientist, engineering copy that goes beyond mere writing. It applies evidence-based psychological mechanisms (like addressing awareness stages, JTBD, and emotional triggers) to create highly persuasive content. Use it when your marketing copy feels generic, needs stronger emotional hooks, or requires guiding the user through a specific behavioral sequence to achieve a desired action.

Generates a precise, evidence-based installation plan for a project's component catalog (ECC). Instead of loading a full, noisy bundle, this skill analyzes the repository's actual code structure, dependencies, and CI/CD evidence to classify skills, rules, and commands into 'DAILY' (essential) and 'LIBRARY' (referenceable) buckets. It ensures only necessary components are active, optimizing the development environment.

This skill provides a comprehensive, evidence-based inventory and overlap audit workflow for enterprise automation. It helps users determine which jobs, hooks, connectors, or wrappers are currently live, broken, redundant, or missing before making critical changes, ensuring reliable system architecture and clean code practices.

This is an advanced, structured workflow designed to conduct deep, multi-source investigations. It synthesizes current public evidence with user-provided context to generate highly structured reports. The workflow explicitly differentiates between verifiable facts, user-supplied evidence, logical inferences, and actionable recommendations, making it ideal for complex comparative analysis or continuous monitoring tasks.

This skill guides users through evidence-based terminal operations. It is designed for scenarios requiring direct command execution, Git status checks, debugging CI/build failures, and pushing narrow, verified fixes. It emphasizes following a structured, minimal-scope workflow and accurately reporting the repository's current state (e.g., local changes vs. pushed code).

Performs a systematic and structured investigation to determine the true source of bugs, errors, and unexpected system behavior, rather than merely treating symptoms. This method utilizes techniques like the Five Whys, hypothesis-driven testing, stack trace analysis, and gathering evidence (logs, git diffs) across multiple phases. It is ideal for complex, intermittent, or deeply rooted technical issues in software development.

This guide outlines a mandatory, evidence-based protocol for declaring any work complete, fixing a bug, or submitting a pull request. It strictly mandates that all claims of success must be supported by fresh, verifiable evidence, such as passing test outputs, successful build logs, or comprehensive checklist verification. It eliminates reliance on assumptions, gut feelings, or trusting proxy reports.

This tutor specializes in developing advanced critical thinking and argumentative skills across humanities and social sciences. It covers disciplines including philosophy, sociology, psychology, political science, and literature. Instead of providing simple answers, the focus is on teaching students how to construct nuanced, evidence-based arguments, utilize multiple theoretical frameworks (e.g., Marxist, feminist), engage in close textual reading, and master the structure of academic writing, supporting both Chinese and Western academic traditions.